CORINE Land Cover 2006 for Continental CORINE Land Cover 2006 for Continental CORINE Land Cover 2006 for Continental CORINE Land Cover 2006 for Continental Portugal Portugal Portugal Portugal Mário Caetano, Vasco Nunes and António Nunes Mário Caetano, Vasco Nunes and António Nunes Mário Caetano, Vasco Nunes and António Nunes Mário Caetano, Vasco Nunes and António Nunes July 2009 July 2009 July 2009 July 2009 European Environmental Agency
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CORINE Land Cover 2006 for Continental CORINE Land Cover 2006 for Continental CORINE Land Cover 2006 for Continental CORINE Land Cover 2006 for Continental
PortugalPortugalPortugalPortugal
Mário Caetano, Vasco Nunes and António NunesMário Caetano, Vasco Nunes and António NunesMário Caetano, Vasco Nunes and António NunesMário Caetano, Vasco Nunes and António Nunes
July 2009July 2009July 2009July 2009
European Environmental Agency
CORINE Land Cover 2006 for Continental Portugal i
Caetano et al., 2009
This report should be cited asThis report should be cited asThis report should be cited asThis report should be cited as
Caetano, M., V. Nunes and A. Nunes, 2009. CORINE Land Cover 2006 for Continental
Portugal, Technical Report, Instituto Geográfico Português.
CORINE Land Cover 2006 for Continental Portugal iii
Observation mode Vertical only Tiltable sensor (up
to ± 31º)
Tiltable sensor
(up to ± 31º)
Vertical only
Temporal resolution 16 days 2-3 days 2-3 days 25 days
Reference system ETRS89-PT06 ETRS89-PT06 ETRS89-PT06 ETRS89-PT06
The images of the reference year 2006 were taken both in spring and summer periods in
order to allow for the analysis of changes in vegetation phenological characteristics and
thus improve the discrimination between land cover classes. Figure 4 shows an example
of a region mainly occupied by agriculture, where irrigated and non-irrigated arable crops
are better identified through the comparison of spring and summer images.
CORINE Land Cover 2006 for Continental Portugal 9
Caetano et al., 2009
Spring 2006 Summer 2006
Figure 4 - Spring and summer satellite images of irrigated and non-irrigated arable areas.
2.2.22.2.22.2.22.2.2 Ancillary dataAncillary dataAncillary dataAncillary data
In order to support and improve the visual interpretation of the landscape, additional data
of Continental Portugal was provided to the photo-interpreters. Table 5 shows a
compilation of the ancillary data used in this project.
Table 5 – Summary of ancillary data characteristics.
Data Reference year Owner Scale MMU /
Resolution (m) Format
Orthorectified digital aerial
imagery - national coverage
2004, 2005 and
2006
IGP/DGRF 1: 25 000 0,50 m Raster
Orthorectified analogue aerial
imagery - national coverage
1995 IGP 1: 25 000 1m Raster
Land Cover Map of Continental
Portugal for 1990 (COS’90)
1990 IGP 1: 25 000 1 ha Vector
Yearly burned area maps 2000-2006 DGRF 1: 100 000 5 ha Vector
National Forest Inventory 1995
(IFN1995)
1995 DGRF --- 0,5 ha Vector
Vineyard Information System 1930-2000 IVV --- --- Vector
Official Administrative Map of
Portugal (CAOP) 2008.1
2008 IGP 1: 25 000 --- Vector
IVV – Institute of Wine and Vineyard; DGRF – General Directorate of Forests
The main ancillary data used by the photo-interpreters was the 2004/2005/2006 national
coverage of orthorectified digital aerial images. The characteristics of these ortho-images
are summarized in Table 6 and the respective acquisition dates are shown in Figure 5.
Figure 6 shows an example of the detail that can be achieved using these aerial images as
ancillary information for land use and land cover (LULC) mapping.
CORINE Land Cover 2006 for Continental Portugal 10
Caetano et al., 2009
Table 6 – Technical specifications of the orthorectified digital aerial images.
Camera Ultracam from Vexcel
Flight altitude Approx. 5800m
Dates of flights November, 2004; August and September, 2005;
May and June, 2006
Image swath 4 x 5 km
Spatial resolution 0,50 m
Radiometric
resolution 8 bits per band
Spectral resolution 4 spectral bands: Blue, Green, Red and NIR
Years of flights 2004, 2005 and 2006
Image format TIFF
Reference system ETRS89-PT06
Flights performed by DGRF
Property rights DGRF / IGP
Figure 5 – Acquisition dates of the orthorectified digital aerial images.
CORINE Land Cover 2006 for Continental Portugal 11
Caetano et al., 2009
Summer 2006
False colour True colour
Figure 6 – Visualization of imagery at different scales. On top: 2006 satellite image. Below: digital aerial images
from the 2004/2005/2006 national coverage.
The orthorectified digital aerial images were available through Web Map Service (WMS).
This format allows the visualization of maps through a network connection. In order to
use this service on an ArcView 3.x platform (the one used for CLC06_PT production), we
installed an extension (WMS support) and created a series of files with Open Geospatial
Consortium (OGC) format. This allowed the access to the various layers of information
from the WMS. These layers were the following:
• Itinerary map of Portugal 1: 500 000;
• 1: 200 000 topographic map;
• 1: 100 000 topographic map;
• 1: 50 000 topographic map;
• 2004/2005/2006 aerial images.
The layers are successively loaded as the visualization scale changes. For the aerial
imagery there were two colour composites available: one for true colour and one for false
colour.
2.32.32.32.3 Development of specific tools to enhance the production processDevelopment of specific tools to enhance the production processDevelopment of specific tools to enhance the production processDevelopment of specific tools to enhance the production process
The basic tool for map production was the software Interchange 2.0 (Figure 7). This
software is an adaptation of ESRI’s ArcView 3.2 software and not only allowed for a direct
CORINE Land Cover 2006 for Continental Portugal 12
Caetano et al., 2009
comparison of the 2000 and 2006 images but also provided a series of editing and
visualisation tools specifically designed for the production of CLC-Changes-2000-2006.
Figure 7 - Software Interchange 2.0.
Furthermore, during the course of the production process, the National Technical Team
developed important additional tools, essentially related to the virtual production
workspace and to quality control procedures. These tools were compiled in an extension
of Interchange 2.0 (Figure 8). Some of the tools developed by the National Technical Team
are described in Table 7.
Figure 8 – Menu and options of the extension developed by the National Technical Team for Interchange 2.0.
CORINE Land Cover 2006 for Continental Portugal 13
Caetano et al., 2009
Table 7 – Examples of the tools created by the National Technical Team for the extension of Interchange 2.0.
Button Description of functionality
This button zooms the view(s) to a previously defined scale.
This button pulls the dialog box for searching the shapefile based on a chosen field. The script
steps through all polygons coded in the chosen field with value 1.
This button stretches the values of the Digital Numbers for each band of the image present in the
view.
This tool enables the user to click on a polygon and check the online official description of the
respective CLC class.
This tool is used to mark cells of a control grid as “done”.
This tool transfers the clicked polygon(s) to Google Earth.
This tool lists every available image for the clicked area in the view. The user then selects from the
list, the ones to be loaded.
This tool loads into the view orthorectified aerial images from 1995 available in the clicked area or
location.
2.42.42.42.4 Production of CHA06_PTProduction of CHA06_PTProduction of CHA06_PTProduction of CHA06_PT
The main task in this project was the production of the CHA06_PT database, which
consisted in computer-assisted visual interpretation of satellite images of the years 2000
and 2006. The image interpretation procedure included a visual comparison between the
2000 and 2006 satellite images, the detection of real changes visible in the images, and
the delineation of change polygons that fulfilled the technical specifications of the
product (EEA, 2007). The changes that were mapped were the ones that occurred between
2000 and 2006, and were detectable in the base data, larger than 5 ha and wider than
100m. The map production specifications for CHA06_PT differed from the ones of CLC-
Changes-1990-2000-PT, in the fact that for CHA06_PT all the changes larger than 5 ha
were mapped. When CLC-Changes-1990-2000-PT was produced the areas that were not
contiguous to polygons of the same class already present in 1990, were only mapped if
they had a minimum of 25 ha (Caetano et al., 2009b). The delineation of changes was
based on the polygons of CLC00_PT in order to avoid the creation of sliver polygons when
integrating that map with CHA06_PT to produce CLC06_PT. The CHA06_PT database was
produced at Working Unit (WU) level. The same way as in the predecessor project, i.e.
CLC2000 for Continental Portugal, each WU corresponded to a sheet of the National Map
Series 1: 100 000 (Figure 9).
CORINE Land Cover 2006 for Continental Portugal 14
Caetano et al., 2009
8765
30 31 32 33
34 35 36 37
38 39 40 41
42 43 44
45 46 47
48 49 50
51 52 53
50b
42a
2
9
431
11
18
19 20 21
22 23 24 25
26 27 28 29
1716
151413
1210
19a
Figure 9 - Working units for the production of the CHA06_PT database.
The production team consisted of five photo-interpreters (Figure 10), selected from more
than 100 candidates. Each of the interpreters was responsible for producing the
CHA06_PT database for a given area of Continental Portugal.
Figure 10 - Team of photo-interpreters.
2.52.52.52.5 Revision of the original CLC2000Revision of the original CLC2000Revision of the original CLC2000Revision of the original CLC2000----PTPTPTPT
The interpretation of the territory of Continental Portugal in view of detecting land cover
changes between 2000 and 2006, inevitably unveiled some problems in the original
CLC2000-PT database. Furthermore, the use of more and better data than in the 2000
project, namely aerial imagery and spring and summer 2006 satellite images, promoted a
better understanding of the landscape. The problems detected were corrected, which
allowed for the improvement of the original CLC2000-PT and at the same time avoided
CORINE Land Cover 2006 for Continental Portugal 15
Caetano et al., 2009
error propagation in CLC06_PT. Figure 11 shows some examples of the corrections that
were made to the original CLC2000-PT database.
CLC2000rCLC2000
312
241
322 312
322
243
313
312
324
312
312
241
322
312
322324
243
313
312
324
312
CLC2000rCLC2000
223
242
243
112
223
324322
223242
243
223
324322
Original CLC2000-PT CLC00_PT
Original CLC2000-PT CLC00_PT
CLC2000rCLC2000
242
221
221
313112
212311
324
112
313
324212
112242 311
311
244
242
221
221
313
212311
324
313
324212
311
311
244
Original CLC2000-PT CLC00_PT
Figure 11 - Examples of corrections made to the original CLC2000-PT.
CORINE Land Cover 2006 for Continental Portugal 16
Caetano et al., 2009
2.62.62.62.6 Production of CLC06_PTProduction of CLC06_PTProduction of CLC06_PTProduction of CLC06_PT
The revised version of the original CLC2000-PT, i.e. CLC00_PT, was combined with
CHA06_PT to produce the CLC06_PT map, as follows:
CLC06_PT = CLC00_PT + CHA06_PT.
The above operation produced polygons smaller than the MMU established for CLC2006.
Thus, some generalisation procedures were applied, following the official guidelines for
the project. These generalisation procedures were implemented using a dedicated ArcInfo
script, provided by the European Topic Centre for Land Use and Spatial Information (ETC-
LUSI).
2.72.72.72.7 Quality controlQuality controlQuality controlQuality control
During the production stage several quality control procedures were carried out. After
producing CHA06_PT for a given WU, the photo-interpreter had a verification list to
control several well-known sources of potential errors (e.g. questionable transitions,
dynamic classes in 2000 to check for probable changes that were not mapped, zero-
coded polygons, cross-boundary harmonisation between working units). Afterwards, the
National Technical Team checked random areas for thematic and structural aspects. When
errors were found, remarks were made, and the WU returned to the correspondent photo-
interpreter so that the respective corrections could be implemented.
Additionally, ETC-LUSI carried out two verifications missions, the first after 25-50% of the
area had been processed and the second when processing had reached 75-100%. In these
verification missions, ETC-LUSI checked the CHA06_PT and CLC00_PT products,
communicating several remarks and recommendations to the National Technical Team.
These were implemented and only then the WU production and quality control cycle was
considered completed.
Finally, after several iterations of the previously described quality control procedures, the
working units were merged and checked for structural, geometric and topology errors
(e.g. polygons smaller than 25 ha, minimum distance between lines smaller than 100m).
The errors found were corrected in all map products.
2.82.82.82.8 MetadataMetadataMetadataMetadata
The metadata of CHA06_PT were produced both at WU level and at country level. These
metadata were produced according to the forms provided by ETC-LUSI (EEA, 2007). In the
cases of the maps CLC00_PT and CLC06_PT, only country-level metadata were produced.
The metadata of the products can be found, respectively, in Annexes 1, 2 and 3.
CORINE Land Cover 2006 for Continental Portugal 17
Caetano et al., 2009
2.92.92.92.9 Validation of CLC06_PTValidation of CLC06_PTValidation of CLC06_PTValidation of CLC06_PT
The accuracy of the CLC06_PT map was evaluated through a statistically sound method
developed by the Remote Sensing Unit of IGP and has been successfully used in several
projects of that Unit (e.g. Carrão et al., 2009; Araújo et al., 2009; Costa et al., 2009). This
method follows the recommendations of Dicks and Lo (1990) regarding the design of a
sampling survey for accuracy assessment, including the determination of the acceptable
level of accuracy, the definition of the reference sample, sample size and sample selection
strategy, and the choice of accuracy measures. Overall, the method is also based on the
work of several others authors, such as Anderson et al. (1976), Jensen (1996), Card
(1982), Carrão et al. (2007), Congalton and Green (1999), Stehman and Czaplewski
(1998), Stehman (1999), and Stehman (2001). For a complete description of the accuracy
assessment of CLC06_PT the reader is referred to Caetano et al. (2009a).
The minimum level of acceptable thematic accuracy we defined was 85%. The validation of
CLC06_PT was done through the comparison of the map with a reference database, which
consisted in a sample of the LULC in Continental Portugal considered to be representative
of the “reality”. The most important data used to construct the reference database were a
national coverage of 2007 orthorectified digital aerial images and the 2006 satellite
images used in the production of CLC06_PT. The sampling design followed a stratified
random sampling approach to ensure the independence of the sample observations
within the sample itself and in relation to the characteristics of the territory. The reference
database was based on the CLC nomenclature and consisted in 100 sampling units per
mapped class. This resulted in a global reference sample of 4200 sampling units. The
protocol to determine the reference LULC classification of a sampling unit included: i)
Labelling of primary and alternative reference land cover labels through interpretation of
reference and ancillary data; ii) Labelling of location confidence ratings for each sampling
unit, which allowed for the discrimination of the sampling units located in the vicinity of
land cover class boundaries (i.e. at a distance smaller than 100m); iii) Labeling of primary
reference land cover labels of the neighbour land cover classes, when these exist in the
vicinity of the sampling unit. The most relevant features of the strategy developed for the
accuracy assessment of CLC06_PT are summarized in Table 8.
Table 8 – Key-features of the accuracy assessment strategy developed for CLC06_PT.
Target accuracy At least 85% thematic accuracy at 95% confidence level
Sampling units Points
Sampling scheme Stratified random sampling
Sample size 100 sampling units per mapped class
Attributes to be collected for
reference sample
Labeling of primary reference land cover labels, alternative reference
land cover labels and location confidence ratings
CORINE Land Cover 2006 for Continental Portugal 19
Caetano et al., 2009
3333 Results and discussionResults and discussionResults and discussionResults and discussion
In this chapter we present a brief analysis of the results obtained for all map products.
The chapter is sub-divided according to the three main topics related with production:
LULC change detection between 2000 and 2006, based on CHA06_PT; revision of the
original CLC2000-PT database; and CLC06_PT map production. All results refer to the
area of Continental Portugal delimited by CAOP, which provides the official administrative
limit defined by IGP (IGP, 2009). The total area of Continental Portugal given by CAOP is
8897130ha.
3.13.13.13.1 Analysis of LULC change in Continental PoAnalysis of LULC change in Continental PoAnalysis of LULC change in Continental PoAnalysis of LULC change in Continental Portugal in the period 2000rtugal in the period 2000rtugal in the period 2000rtugal in the period 2000----2006200620062006
The analysis of land use and land cover changes in Continental Portugal was based on the
CHA06_PT database. These changes occurred in 8,6% of the territory and are illustrated in
Figure 12.
CLC changes 2000-2006
Figure 12 – CHA06_PT map.
CORINE Land Cover 2006 for Continental Portugal 20
Caetano et al., 2009
From the analysis of the map it can be easily concluded that the centre of the territory
was the region with the highest occurrence of changes in the period 2000-2006. This is
related essentially to the well-known dynamic nature of the Portuguese forests, which
constitute the main land cover type in that region. In order to further understand the
LULC dynamics in Continental Portugal between 2000 and 2006 it is important to
examine the areas that were gained and lost per class in that period (Table 9), as well as
the change matrix (Table 10).
Table 9 - Areas gained (+) and lost (-) per CLC class between 2000 and 2006 in Continental Portugal.
Area (ha)
CLC class Out In Difference
111 0
112 133 9364 +9231
121 64 5510 +5446
122 8 6565 +6558
123 83 +83
124 80 +80
131 205 2043 +1838
132 20 346 +326
133 8877 10076 +1199
141 46 51 +5
142 37 2905 +2869
211 45522 6578 -38944
212 2480 9136 +6656
213 2204 397 -1808
221 1429 8533 +7104
222 1192 1537 +345
223 4708 4478 -230
231 1461 1300 -160
241 2623 116 -2507
242 3408 165 -3243
243 12015 5638 -6377
244 17128 8074 -9054
311 177819 58621 -119198
312 206895 33749 -173146
313 83000 13513 -69487
321 5579 239 -5341
322 10062 2216 -7847
323 20040 1446 -18593
324 127038 519199 +392161
331 47 38 -10
332 13 18 +4
333 578 890 +312
334 29405 33145 +3741
411 0
421 37 -37
422 0
423 169 +169
511 1117 398 -719
512 18729 +18729
521 14 38 +23
522 169 -169
523 26 17 -9
+ -
CORINE Land Cover 2006 for Continental Portugal 21
Caetano et al., 2009
Table 10 – 2000-2006 land use and land cover change matrix for Continental Portugal (areas are presented in hectares).
CORINE Land Cover 2006 for Continental Portugal 22
Caetano et al., 2009
At level 1 of the nomenclature the main changes occur from classes: 2 and 3 to 1; 2 and 3
to 5; 3 to 2; and 2 to 3. These changes represent the growth of urban areas, the
construction of new artificial dams and lakes, and the conversion of natural to agricultural
areas and vice-versa. Within class 3, the changes from classes 311, 312 or 313 to 324,
and vice-versa, are the most representative ones in terms of area, showing the dynamics
in the Portuguese forest sector. The large area corresponding to occurrences of forest
fires also has an important influence in this dynamics. Regarding agricultural areas, the
classes that changed most were 211 and 244, often converted to new forest plantations
(class 324). Table 11 shows the top-10 level-3 changes in terms of area.
Table 11 - Top-10 level-3 changes in Continental Portugal between 2000 and 2006.
Change Area (ha)
312-324 198404
311-324 157577
313-324 75470
324-311 57199
324-312 33626
334-324 25351
211-324 25033
324-313 12272
324-334 11808
244-324 11411
3.23.23.23.2 ReviReviReviRevision of the original CLC2000sion of the original CLC2000sion of the original CLC2000sion of the original CLC2000----PTPTPTPT
As a result of the revision of the original CLC2000-PT database (see Figure 13), 7,8% of
the area of Continental Portugal were corrected for geometric and thematic errors.
In view of analysing which region of the territory was subjected to more corrections, the
original and revised CLC2000-PT databases were intersected with the level-3 NUTS
(Nomenclature of Territorial Units for Statistics) for Continental Portugal. Figure 14 shows
the percentage of corrections made to the original CLC2000-PT database per NUTS III.
“Minho/Lima”, “Beira Interior Norte”, “Grande Lisboa” and “Alentejo Central” were the most
corrected NUTS. The Centre and North-Interior were the regions of the territory with
fewer corrections. Table 12 shows the area differences per class between the revised and
the original CLC2000-PT databases. Classes 423, 332, 333, 133 and 112 were
significantly corrected relatively to their original area. This doesn’t mean necessarily
though that they correspond to the major part of the corrected area in relation to the total
area of Continental Portugal. In fact, classes that occupy a larger part of the territory are
likely to be subjected to more corrections than less represented classes. This was the case
with 112, 211, 311, 322 and 324, which were the classes responsible for the major part
of the overall improvements.
CORINE Land Cover 2006 for Continental Portugal 23
Caetano et al., 2009
CLC2000 revised
Figure 13 – CLC00_PT map.
LegendCorrections (%)
Figure 14 - Percentage of corrections made to the original CLC2000-PT database per NUTSIII.
CORINE Land Cover 2006 for Continental Portugal 24
Caetano et al., 2009
Table 12 – Area differences per CLC class between the revised and the original CLC2000-PT databases.
Original CLC2000-PT CLC00_PT Difference
CLC
class Area (ha)
% of total area of
Cont. Portugal Area (ha)
% of total area of
Cont. Portugal
Relative to total area
of Cont. Portugal (%)
Relative to class area
in original CLC2000-
PT (%)
111 13956 0,2 12077 0,1 -0,0211 -13,5
112 161113 1,8 202359 2,3 +0,4636 +25,6
121 28652 0,3 29706 0,3 +0,0118 +3,7
122 2307 0,0 2256 0,0 -0,0006 -2,2
123 1416 0,0 1475 0,0 +0,0007 +4,1
124 4157 0,0 4216 0,0 +0,0007 +1,4
131 13039 0,1 12248 0,1 -0,0089 -6,1
132 459 0,0 748 0,0 +0,0032 +63
133 4416 0,0 5721 0,1 +0,0147 +29,5
141 1439 0,0 1761 0,0 +0,0036 +22,3
142 7944 0,1 9053 0,1 +0,0125 +14
211 1092487 12,3 1019416 11,5 -0,8213 -6,7
212 194547 2,2 203804 2,3 +0,104 +4,8
213 53409 0,6 54401 0,6 +0,0111 +1,9
221 232873 2,6 222741 2,5 -0,1139 -4,4
222 100111 1,1 100566 1,1 +0,0051 +0,5
223 270557 3,0 262925 3,0 -0,0858 -2,8
231 37816 0,4 42104 0,5 +0,0482 +11,3
241 420388 4,7 405789 4,6 -0,1641 -3,5
242 622850 7,0 609907 6,9 -0,1455 -2,1
243 681514 7,7 700127 7,9 +0,2092 +2,7
244 559658 6,3 628699 7,1 +0,776 +12,3
311 1221196 13,7 1125181 12,6 -1,0792 -7,9
312 691008 7,8 708603 8,0 +0,1978 +2,5
313 525077 5,9 545339 6,1 +0,2277 +3,9
321 185235 2,1 176156 2,0 -0,1020 -4,9
322 336428 3,8 289461 3,3 -0,5279 -14,0
323 195444 2,2 225001 2,5 +0,3322 +15,1
324 963537 10,8 1019203 11,5 +0,6257 +5,8
331 11324 0,1 11083 0,1 -0,0027 -2,1
332 43971 0,5 23836 0,3 -0,2263 -45,8
333 77138 0,9 100528 1,1 +0,2629 +30,3
334 31562 0,4 29688 0,3 -0,0211 -5,9
411 1021 0,0 1119 0,0 +0,0011 +9,7
421 18608 0,2 18191 0,2 -0,0047 -2,2
422 7531 0,1 7200 0,1 -0,0037 -4,4
423 789 0,0 1733 0,0 +0,0106 +119,5
511 20493 0,2 20590 0,2 +0,0011 +0,5
512 34121 0,4 34600 0,4 +0,0054 +1,4
521 8459 0,1 8465 0,1 +0,0001 +0,1
522 16293 0,2 16292 0,2 +0,0000 +0,0
523 2779 0,0 2752 0,0 -0,0003 +0,0
CORINE Land Cover 2006 for Continental Portugal 25
Caetano et al., 2009
3.33.33.33.3 Validation of the CLC06_PT mapValidation of the CLC06_PT mapValidation of the CLC06_PT mapValidation of the CLC06_PT map
As a result of the accuracy assessment of CLC06_PT we obtained estimates for the overall
and specific map accuracy indices (Table 13). These estimates confirm the good quality of
the product CLC06_PT. In fact, the estimated overall accuracy was 90,2%, with an absolute
precision of 1,3% at the 95% confidence level. This is well above the 85% thematic
accuracy target that we had set. Regarding user’s accuracies, only classes 231, 132, 222,
313 and 332 have confidence intervals completely below the 85% thematic accuracy
target. In the case of producer’s accuracies, only classes 231 and 423 present confidence
intervals completely below the same target. However, while for user’s accuracies the
confidence intervals were small for all land cover classes, for producer’s accuracies some
classes were estimated with very large confidence intervals, which means that the
estimates for these specific classes must be considered with care because larger
confidence intervals indicate that we can have less confidence in the correspondent
estimates.
CORINE Land Cover 2006 for Continental Portugal 26
Caetano et al., 2009
Table 13 – Percentage area occupied per mapped land cover class (Nh). Estimates for percentage area occupied
per reference land cover class (Ng), percentage overall accuracy (P), percentage user’s accuracy (Ph), and
percentage producer’s accuracy (Pg). The absolute precision (d) was estimated at the 95% confidence level.
CLC class hN
)ˆ(ˆgg NdN ± )ˆ(ˆ
hh PdP ± )ˆ(ˆgg PdP ±
111 0,1 0,1 ± 0,0 97,0 ± 3,3 100 ± 0,0
112 1,9 2,0 ± 0,2 99,0 ± 2,0 91,9 ± 7,4
121 0,3 0,3 ± 0,1 90,0 ± 5,9 86,8 ± 19,5
122 0,1 0,1 ± 0,1 93,0 ± 5,0 65,4 ± 34,4
123 0,0 0,0 ± 0,0 95,0 ± 4,2 100,0 ± 0,0
124 0,0 0,0 ± 0,0 100,0 ± 0,0 97,3 ± 5,1
131 0,1 0,2 ± 0,1 97,0 ± 3,3 74,3 ± 32,5
132 0,0 0,0 ± 0,0 71,0 ± 8,5 83,3 ± 27,1
133 0,1 0,0 ± 0,0 78,0 ± 8,1 98,1 ± 2,9
141 0,0 0,0 ± 0,0 95,0 ± 4,2 87,9 ± 14,5
142 0,1 0,1 ± 0,1 93,0 ± 5,0 63,6 ± 44,8
211 8,6 7,8 ± 0,6 86,0 ± 6,8 94,8 ± 2,1
212 1,9 1,7 ± 0,2 80,8 ± 7,8 90,1 ± 10,8
213 0,5 0,4 ± 0,0 86,0 ± 6,8 97,3 ± 3,0
221 2,0 1,9 ± 0,1 94,0 ± 4,7 99,5 ± 0,9
222 0,9 0,8 ± 0,2 72,0 ± 8,8 81,8 ± 17,1
223 2,3 2,3 ± 0,3 81,2 ± 7,7 81,8 ± 9,3
231 0,4 0,4 ± 0,2 51,0 ± 9,8 51,9 ± 24,4
241 3,5 3,7 ± 0,5 81,0 ± 7,7 76,6 ± 9,4
242 5,4 5,3 ± 0,7 79,0 ± 8,0 80,3 ± 7,7
243 6,1 6,6 ± 0,6 90,0 ± 5,9 83,1 ± 6,4
244 5,5 5,6 ± 0,6 89,0 ± 6,2 87,8 ± 7,0
311 8,9 9,7 ± 0,7 94,0 ± 4,7 85,8 ± 4,5
312 4,7 5,2 ± 0,4 96,0 ± 3,9 86,9 ± 6,7
313 4,2 3,4 ± 0,5 74,0 ± 8,6 91,0 ± 9,6
321 1,6 1,7 ± 0,2 84,0 ± 7,2 75,5 ± 9,6
322 2,6 2,3 ± 0,2 81,0 ± 7,7 91,3 ± 4,7
323 1,9 1,9 ± 0,2 91,0 ± 5,6 89,4 ± 7,1
324 12,6 12,6 ± 0,8 92,0 ± 5,3 92,0 ± 3,2
331 0,1 0,1 ± 0,0 96,0 ± 3,8 95,2 ± 5,0
332 0,2 0,1 ± 0,0 66,0 ± 9,3 100,0 ± 0,0
333 0,9 0,8 ± 0,1 80,0 ± 7,9 89,2 ± 9,1
334 0,3 0,3 ± 0,1 87,0 ± 6,6 90,0 ± 16,3
411 0,0 0,0 ± 0,0 95,0 ± 4,1 53,9 ± 32,1
421 0,2 0,2 ± 0,0 83,0 ± 7,4 86,2 ± 17,4
422 0,1 0,1 ± 0,0 97,0 ± 3,3 97,4 ± 4,9
423 0,0 0,0 ± 0,0 95,0 ± 4,2 51,5 ± 17,7
511 0,2 0,2 ± 0,0 98,0 ± 2,8 86,4 ± 17,2
512 0,5 0,5 ± 0,0 97,0 ± 3,4 99,0 ± 1,2
521 0,1 0,1 ± 0,0 97,0 ± 3,3 97,7 ± 4,2
522 0,4 0,4 ± 0,0 98,0 ± 2,8 99,7 ± 0,2
523 21,1 21,1 ± 0,0 100,0 ± 0 100,0 ± 0,0
Overall accuracy )ˆ(ˆ PdP ± 90,2 ± 1,3
CORINE Land Cover 2006 for Continental Portugal 27
Caetano et al., 2009
3.43.43.43.4 Analysis of LULC in Continental Portugal in 2006Analysis of LULC in Continental Portugal in 2006Analysis of LULC in Continental Portugal in 2006Analysis of LULC in Continental Portugal in 2006
The integration of CHA06_PT with CLC00_PT and the implementation of generalisation
procedures led to the creation of the CLC06_PT database (Figure 15).
CLC2006
Figure 15 - CLC06_PT map.
The main information that can be retrieved from the map is the dominance of Forest and
IGP (Portuguese Geographic Institute), 2009. Informação Cadastral – Carta Administrativa Oficial de Portugal,
available online at http://www.igeo.pt/produtos/cadastro/caop/inicial.htm (last accessed: 29 July 2009).
Jensen, J.R., 1996. Introductory digital image processing: a remote sensing perspective (2nd edition), Prentice
Hall, New Jersey.
CORINE Land Cover 2006 for Continental Portugal
Caetano et al., 2009
34
Painho, M. and M. Caetano, 2006. Cartografia de Ocupação do Solo - Portugal Continental, 1985-2000 - CORINE Land Cover 2000, Instituto do Ambiente, Amadora.
Stehman, S.V., 1999. Basic probability sampling designs for thematic map accuracy assessment, International
Journal of Remote Sensing, 20(12): 2423–2441.
Stehman, S.V., 2001. Statistical rigour and practical utility in thematic map accuracy, Photogrammetric
Engineering and Remote Sensing, 67(6): 727–734.
Stehman, S.V. and R.L. Czaplewski, 1998. Design and analysis for thematic map accuracy assessment:
fundamental principles, Remote Sensing of Environment, 64(3): 331–344.
CORINE Land Cover 2006 for Continental Portugal
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Annex 1Annex 1Annex 1Annex 1
Metadata of CHA06_PTMetadata of CHA06_PTMetadata of CHA06_PTMetadata of CHA06_PT
CORINE Land Cover 2006 for Continental Portugal
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EEA metadata form for spatial datasets (GIS data) & EEA Metadata Standard for Geographic Information (EEA-MSGI v.1.1)
Dataset metadata form mapped to ISO19115
CORINE Land Cover Changes 2000-2006 map of Continental Portugal
CORINE Land Cover 2006 for Continental Portugal
Caetano et al., 2009
38
EEA Field name
Level 1 Level 2 Level 3
ISO Number
EEA Description CHA06_PT
Defines the metadata on the dataset
Responsible organisation and individual for the metadata
Organisation name 8.376 Responsible organisation name
Portuguese Geographic Institute (IGP)
Individual name 8.375 Responsible individual name Mário Caetano
Position name 8.377 The responsible individual role or position in the organisation
Project manager
Role 8.379 Function performed by the responsible organisation
Production
Address: Delivery point 8.378.381 Address line for the location Rua Artilharia Um, 107
Address: City 8.378.382 City of the location Lisbon
Address: State, Province 8.378.383 State, province of the location
Address: Postal code 8.378.384 Postal code of the location 1099-052
Address: Country 8.378.385 Country of the location Portugal
Point of contact
Address: E-mail 8.378.386 The electronic mail address of the responsible organisation or individual
10 Name of metadata standard EEA-MSGI/ISO19115 (First Edition)
Version of standard
11 Version of the metadata standard
EEA-MSGI 1.1
Basic information required to identify the dataset
Title 15.24.360 Title of the dataset CHA06_PT
Alternative title 15.24.361 Alternative titles of the dataset
CORINE Land Cover Changes 2000-2006 map of Continental Portugal
Brief Abstract
15.EEABriefAbstract
Brief abstract explaining in short the content of the dataset
CHA06_PT is a land use and land cover (LULC) map with vector format, a minimum mapping unit (MMU) of 5 ha and a nomenclature with 44 classes. Each polygon has two codes: one referring to LULC in 2000 and the other to LULC in 2006.
Dataset identification
Abstract
15.25 An abstract explaining the content of the dataset
The CORINE Land Cover Changes 2000-2006 map of Continental Portugal (CHA06_PT) was produced by the Remote Sensing Unit of the Portuguese Geographic Institute (IGP), in the framework of the Global Monitoring for Environment and Security Land Fast Track Service Precursor (GMES Land FTSP). GMES Land FTSP is an initiative created by the European Environment Agency (EEA) and European Commission (EC). GMES Land FTSP for Continental Portugal was funded by the EEA, IGP and Portuguese Environment Agency (APA). CHA06_PT is a land use and land cover (LULC) map with vector format, a minimum mapping unit (MMU) of 5 ha and an a priori hierarchical nomenclature. This nomenclature has three levels and 44 classes at the third and most detailed level. Each polygon has two codes: one referring to LULC in 2000 and the other to LULC in 2006. This map was generated through computer-assisted visual interpretation of 2000 and 2006 satellite images. The geometric accuracy of the map is better than 100m.
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Keywords 15.33.53 Keywords helping to classify the dataset
Land use and land cover (LULC), CORINE Land Cover, CLC Changes 2000-2006, Global Monitoring for Environment and Security Land Fast Track Service Precursor (GMES Land FTSP), Portugal
Topic category 15.41 A predefined ISO category 010 (imageryBaseMapsEarthCover)
Dataset version 15.24.363 Version of the dataset Version 1.
Reference date 15.24.362.394
Date of last modification to the dataset (YYYYMMDD)
20090714
Definition of the reference system used for the dataset
Name 13.196.207 Name of reference system PT-TM06/ETRS89
Identity of the datum Datum
Name 13.192.207 Name of datum D_ETRS_1989
Identity of the ellipsoid
Name 13.191.207 Name of ellipsoid GRS80
Semi-major axis 13.193.202 Radius of the equatorial axis of the ellipsoid
6378137
Axis units 13.193.203 Units of the semi-major axis Meter
Ellipsoid
Flattening ratio 13.193.204 Ratio of the difference between the equatorial and polar radii of the ellipsoid to the equatorial radius when the numerator is set to 1
1 / 298,257 222 101
Identity of the projection
Name 13.190.207 Name of projection Transverse_Mercator
Reference system
Projection
Zone 13.194.216 Unique identifier for grid zone
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Standard parallel 13.194.217 Line of constant latitude at which the surface of Earth and the plane or developable surface intersect
Longitude Of Central Meridian
13.194.218 Line of longitude at the centre of a map projection generally used as the basis for constructing the projection
-8,133108
Latitude of projection origin
13.194.219 Latitude chosen as the origin of rectangular coordinates for a map projection
39,668258
False easting 13.194.220 Value added to all “x” values in the rectangular coordinates for a map projection. This value frequently is assigned to eliminate negative numbers. Expressed in the unit of measure identified in planar coordinate units
False northing 13.194.221 Value added to all “y” values in the rectangular coordinates for a map projection. This value frequently is assigned to eliminate negative numbers. Expressed in the unit of measure identified in planar coordinate units
False easting northing units
13.194.222 Units of false northing and false easting
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Scale factor at equator 13.194.223 Ratio between physical distance and corresponding map distance, along the equator
1,000000
Longitude of projection centre
13.194.224 Longitude of the point of projection for azimuthal projections
Latitude of projection centre
13.194.225 Latitude of the point of projection for azimuthal projections
Information about the distributors of the dataset
Information about the owner organisation
Organisation name 15.29.376 Name of the owner organisation
European Environment Agency
Individual name 15.29.375 Name contact person in the owner organisation
Chris Steenmans
Position name 15.29.377 Position of the contact person in the owner organisation
Project manager
Role 15.29.379 Always “Owner” role Owner
Address: Delivery point 15.29.378.389.381
Address line for the location Kongens Nytorv 6
Address: City 15.29.378.389.382
City of the location Copenhagen
Address: State, Province 15.29.378.389.383
State, province of the location
Address: Postal code 15.29.378.389.384
Postal code of the location 1050
Distribution information
Owner 1
Address: Country 15.29.378.389.385
Country of the location Denmark
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Address: E-mail 15.29.378.389.386
The electronic mail address of the owner organisation or individual
Type of constraint 20.70 The type of access right applied to assure the protection of privacy or intellectual property, and any special restriction or limitations on obtaining the resource.
005 (Licence - formal regulation of user rights)
Access rights
Restriction 20.72 Description of the restriction of the access right.
Other aspects explaining the dataset
Other dataset information
Language 15.39 Language used within the dataset
EN
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48
Format name 15.32.285 Name of the used exchange format for the dataset
ESRI GDB
Format version 15.32.286 Version of the used exchange format for the dataset
9.3
Methodology description 18.81.83 General explanation of the data producer’s knowledge about how the geometry was constructed/derived and how the attribute information being part of the dataset was generated.
CHA06_PT was produced by visual comparison of IMAGE2006 and IMAGE2000. All changes fulfilling the mapping criteria (> 5 ha, > 100 m boundary displacement) have been delineated.
Changes 18.EEAChanges
Description of the changes since last version of the dataset
-
Information about the event in the creation process of the dataset
Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step1: Delineation of changes in land cover and land use (LULC) by visual comparison of satellite images from 2000 (IMAGE2000) and 2006 (IMAGE2006). This delineation is made taking into account the geometry of CLC00_PT. Software used: InterChange sw package under ArcView 3.2
Source data reference title
18.81.84.91.360
Name of the resource used in process step
IMAGE2000 data: Ortho-corrected Landsat ETM+ imagery. Pixel size: 25 m
Source data reference date
18.81.84.91.362
Date of the resource used in process step
Date range: 06/24 – 09/05 2000.
Source data reference title
18.81.84.91.360
Name of the resource used in process step
IMAGE2006 data: LISIII and Spot 4&5, pixel size: 20 m.
Source data reference date
18.81.84.91.362
Date of the resource used in process step
Date range: 06/24/2005 – 15/15/2007 (Spring and Summer data)
Process steps
Source data reference title
18.81.84.91.360
Name of the resource used in process step
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Source data reference date
18.81.84.91.362
Date of the resource used in process step
Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step2: Internal verification
Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step3: External verification by ETC-LUSI (European Topic Centre for Land Use and Spatial Information
Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step4: Merging of adjacent map sheets.
Scale 15.38.60.57 Gives a rough value of accuracy of the dataset; e.g. 2500000 means dataset has an accuracy suitable for use at scale 1:2.5 million at best
100 000
Geographic accuracy 15.38.61 Geographic accuracy of location, ground distance as an value in meters
100
Geographic position bounding box of the dataset
West bound longitude 15.42.336.344
Western-most coordinate of the limit of the dataset extent, expressed in longitude in decimal degrees (positive east)
-9,114382
Geographic box
East bound longitude 15.42.336.345
Eastern-most coordinate of the limit of the dataset extent, expressed in longitude in decimal degrees (positive east)
-9,114382
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South bound latitude 15.42.336.346
Southern-most coordinate of the limit of the dataset extent, expressed in latitude in decimal degrees (positive north)
42,144757
North bound latitude 15.42.336.347
Northern-most coordinate of the limit of the dataset extent, expressed in latitude in decimal degrees (positive north)
42,144757
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Annex 2Annex 2Annex 2Annex 2
Metadata of CLC00_PTMetadata of CLC00_PTMetadata of CLC00_PTMetadata of CLC00_PT
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EEA metadata form for spatial datasets (GIS data) & EEA Metadata Standard for Geographic Information (EEA-MSGI v.1.1)
Dataset metadata form mapped to ISO19115
Revised CORINE Land Cover 2000 map of Continental Portugal
CORINE Land Cover 2006 for Continental Portugal
Caetano et al., 2009
54
EEA Field name
Level 1 Level 2 Level 3
ISO Numb
er
EEA Description CLC00_PT
Defines the metadata on the dataset
Responsible organisation and individual for the metadata
Organisation name 8.376 Responsible organisation name Portuguese Geographic Institute (IGP)
Individual name 8.375 Responsible individual name Mário Caetano
Position name 8.377 The responsible individual role or position in the organisation
Project manager
Role 8.379 Function performed by the responsible organisation
Production
Address: Delivery point 8.378.381 Address line for the location Rua Artilharia Um, 107
Address: City 8.378.382 City of the location Lisbon
Address: State, Province 8.378.383 State, province of the location
Address: Postal code 8.378.384 Postal code of the location 1099-052
Address: Country 8.378.385 Country of the location Portugal
Point of contact
Address: E-mail 8.378.386 The electronic mail address of the responsible organisation or individual
10 Name of metadata standard EEA-MSGI/ISO19115 (First Edition)
Metadata on metadata
Version of standard
11 Version of the metadata standard
EEA-MSGI 1.1
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Basic information required to identify the dataset
Title 15.24.360 Title of the dataset CLC00_PT
Alternative title 15.24.361 Alternative titles of the dataset Revised CORINE Land Cover 2000 map of Continental Portugal
Brief Abstract
15.EEABriefAbstract
Brief abstract explaining in short the content of the dataset
Revised CORINE Land Cover 2000 map of Continental Portugal is a land use and land cover (LULC) map with vector format, a minimum mapping unit (MMU) of 25 ha and a nomenclature with 44 classes.
Abstract
15.25 An abstract explaining the content of the dataset
The revised CORINE Land Cover 2000 map of Continental Portugal (CLC00_PT) was produced by the Remote Sensing Unit of the Portuguese Geographic Institute (IGP), in the framework of the Global Monitoring for Environment and Security Land Fast Track Service Precursor (GMES Land FTSP). GMES Land FTSP is an initiative created by the European Environment Agency (EEA) and European Commission (EC). GMES Land FTSP for Continental Portugal was funded by the EEA, IGP and Portuguese Environment Agency (APA). CLC00_PT is a land use and land cover (LULC) map with vector format, a minimum mapping unit (MMU) of 25 ha and an a priori hierarchical nomenclature. This nomenclature has three levels and 44 classes at the third and most detailed level. This map was produced by revising the original CLC2000-PT database, which was done in parallel with the production of the CORINE Land Cover Changes 2000-2006 map of Continental Portugal (CHA06_PT). The later was produced within the same project. The geometric accuracy of the map is better than 100m.
Keywords 15.33.53 Keywords helping to classify the dataset
Land use and land cover (LULC), CORINE Land Cover, Revised CLC2000, Global Monitoring for Environment and Security Land Fast Track Service Precursor (GMES Land FTSP), Portugal
Topic category 15.41 A predefined ISO category. 010 (imageryBaseMapsEarthCover)
Dataset identification
Dataset version 15.24.363 Version of the dataset Version 2.
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Reference date 15.24.362.394
Date of last modification to the dataset (YYYYMMDD)
20090714
Definition of the reference system used for the dataset
Name 13.196.207
Name of reference system PT-TM06/ETRS89
Identity of the datum Datum
Name 13.192.207
Name of datum D_ETRS_1989
Identity of the ellipsoid
Name 13.191.207
Name of ellipsoid GRS80
Semi-major axis 13.193.202
Radius of the equatorial axis of the ellipsoid
6378137
Axis units 13.193.203
Units of the semi-major axis Meter
Ellipsoid
Flattening ratio 13.193.204
Ratio of the difference between the equatorial and polar radii of the ellipsoid to the equatorial radius when the numerator is set to 1
1 / 298,257 222 101
Identity of the projection
Name 13.190.207
Name of projection Transverse_Mercator
Zone 13.194.216
Unique identifier for grid zone
Reference system
Projection
Standard parallel 13.194.217
Line of constant latitude at which the surface of Earth and the plane or developable surface intersect
CORINE Land Cover 2006 for Continental Portugal
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Longitude of Central Meridian
13.194.218
Line of longitude at the centre of a map projection generally used as the basis for constructing the projection
-8,133108
Latitude of projection origin
13.194.219
Latitude chosen as the origin of rectangular coordinates for a map projection
39,668258
False easting 13.194.220
Value added to all “x” values in the rectangular coordinates for a map projection. This value frequently is assigned to eliminate negative numbers. Expressed in the unit of measure identified in planar coordinate units
False northing 13.194.221
Value added to all “y” values in the rectangular coordinates for a map projection. This value frequently is assigned to eliminate negative numbers. Expressed in the unit of measure identified in planar coordinate units
False easting northing units
13.194.222
Units of false northing and false easting
Scale factor at equator 13.194.223
Ratio between physical distance and corresponding map distance, along the equator
1,000000
Longitude of projection centre
13.194.224
Longitude of the point of projection for azimuthal projections
Latitude of projection centre
13.194.225
Latitude of the point of projection for azimuthal projections
CORINE Land Cover 2006 for Continental Portugal
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Information about the distributors of the dataset
Information about the owner organisation
Organisation name 15.29.376 Name of the owner organisation European Environment Agency
Individual name 15.29.375 Name contact person in the owner organisation
Chris Steenmans
Position name 15.29.377 Position of the contact person in the owner organisation
Project manager
Role 15.29.379 Always “Owner” role Owner
Address: Delivery point 15.29.378.389.381
Address line for the location Kongens Nytorv 6
Address: City 15.29.378.389.382
City of the location Copenhagen
Address: State, Province 15.29.378.389.383
State, province of the location
Address: Postal code 15.29.378.389.384
Postal code of the location 1050
Address: Country 15.29.378.389.385
Country of the location Denmark
Owner 1
Address: E-mail 15.29.378.389.386
The electronic mail address of the owner organisation or individual
Type of constraint 20.70 The type of access right applied to assure the protection of privacy or intellectual property, and any special restriction or limitations on obtaining the resource.
005 (Licence - formal regulation of user rights) rights
Restriction 20.72 Description of the restriction of the access right.
Other aspects explaining the dataset
Language 15.39 Language used within the dataset
EN
Format name 15.32.285 Name of the used exchange format for the dataset
ESRI GDB
Format version 15.32.286 Version of the used exchange format for the dataset
9.3
Methodology description 18.81.83 General explanation of the data producer’s knowledge about how the geometry was constructed/derived and how the attribute information being part of the dataset was generated.
CLC00_PT was produced by correcting boundary displacements and thematic errors in the original CLC2000-PT version.
Changes 18.EEAChanges
Description of the changes since last version of the dataset
CLC00_PT was produced by correcting boundary displacements and thematic errors in the original CLC2000-PT version.
Information about the event in the creation process of the dataset
Other dataset information
Process steps
Description 18.81.84.87
Description of the process step including related parameters or tolerance
Step1: Visual interpretation of IMAGE2000 for correction of geometric and thematic errors in the original CLC2000-PT version. Software used: InterChange sw package under ArcView 3.2
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Source data reference title
18.81.84.91.360
Name of the resource used in process step
IMAGE2000 data: Ortho-corrected Landsat ETM+ imagery. Pixel size: 25 m.
Source data reference date
18.81.84.91.362
Date of the resource used in process step
Date range: 06/24 – 09/05 2000.
Description 18.81.84.87
Description of the process step including related parameters or tolerance
Step2: Internal verification
Description 18.81.84.87
Description of the process step including related parameters or tolerance
Step3: External verification by ETC-LUSI (European Topic Centre for Land Use and Spatial Information)
Description 18.81.84.87
Description of the process step including related parameters or tolerance
Step4: Merging of adjacent map sheets.
Scale 15.38.60.57
Gives a rough value of accuracy of the dataset; e.g. 2500000 means dataset has an accuracy suitable for use at scale 1:2.5 million at best
100 000
Geographic accuracy 15.38.61 Geographic accuracy of location, ground distance as an value in meters
100
Geographic position bounding box of the dataset
West bound longitude 15.42.336.344
Western-most coordinate of the limit of the dataset extent, expressed in longitude in decimal degrees (positive east)
-9,681687
Geographic box
East bound longitude 15.42.336.345
Eastern-most coordinate of the limit of the dataset extent, expressed in longitude in decimal degrees (positive east)
-6,162900
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South bound latitude 15.42.336.346
Southern-most coordinate of the limit of the dataset extent, expressed in latitude in decimal degrees (positive north)
42,163448
North bound latitude 15.42.336.347
Northern-most coordinate of the limit of the dataset extent, expressed in latitude in decimal degrees (positive north)
39,549549
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Annex 3Annex 3Annex 3Annex 3
Metadata of CLC06Metadata of CLC06Metadata of CLC06Metadata of CLC06_PT_PT_PT_PT
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EEA metadata form for spatial datasets (GIS data) & EEA Metadata Standard for Geographic Information (EEA-MSGI v.1.1)
Dataset metadata form mapped to ISO19115
CORINE Land Cover 2006 map of Continental Portugal
CORINE Land Cover 2006 for Continental Portugal
Caetano et al., 2009
70
EEA Field name
Level 1 Level 2 Level 3
ISO Number EEA Description CLC06_PT
Defines the metadata on the dataset
Responsible organisation and individual for the metadata
Organisation name 8.376 Responsible organisation name
Portuguese Geographic Institute (IGP)
Individual name 8.375 Responsible individual name Mário Caetano
Position name 8.377 The responsible individual role or position in the organisation
Project manager
Role 8.379 Function performed by the responsible organisation
Production
Address: Delivery point 8.378.381 Address line for the location Rua Artilharia Um, 107
Address: City 8.378.382 City of the location Lisbon
Address: State, Province
8.378.383 State, province of the location
Address: Postal code 8.378.384 Postal code of the location 1099-052
Address: Country 8.378.385 Country of the location Portugal
Point of contact
Address: E-mail 8.378.386 The electronic mail address of the responsible organisation or individual
10 Name of metadata standard EEA-MSGI/ISO19115 (First Edition)
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Caetano et al., 2009
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Version of standard
11 Version of the metadata standard
EEA-MSGI 1.1
Basic information required to identify the dataset
Title 15.24.360 Title of the dataset CLC06_PT
Alternative title 15.24.361 Alternative titles of the dataset CORINE Land Cover 2006 map of Continental Portugal
Brief Abstract
15.EEABriefAbstract Brief abstract explaining in short the content of the dataset
CORINE Land Cover 2006 map of Continental Portugal is a land use and land cover (LULC) map with vector format, a minimum mapping unit (MMU) of 25 ha and a nomenclature with 44 classes.
Dataset identification
Abstract
15.25 An abstract explaining the content of the dataset
The CORINE Land Cover 2006 map of Continental Portugal (CLC06_PT) was produced by the Remote Sensing Unit of the Portuguese Geographic Institute (IGP), in the framework of the Global Monitoring for Environment and Security Land Fast Track Service Precursor (GMES Land FTSP). GMES Land FTSP is an initiative created by the European Environment Agency (EEA) and European Commission (EC). GMES Land FTSP for Continental Portugal was funded by the EEA, IGP and Portuguese Environment Agency (APA).
CLC06_PT is a land use and land cover (LULC) map with vector format, a minimum mapping unit (MMU) of 25 ha and an a priori hierarchical nomenclature. This nomenclature has three levels and 44 classes at the third and most detailed level.
This map was generated by integrating two other maps produced within the same project, in a Geographic Information System (GIS): the CORINE Land Cover Changes 2000-2006 map of Continental Portugal (CHA06_PT) and the revised CORINE Land Cover 2000 map of Continental Portugal (CLC00_PT).
The geometric accuracy of the map is better than 100m and its estimated overall accuracy is 90,2%, with an absolute precision of 1,3 at the 95% confidence level.
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Keywords 15.33.53 Keywords helping to classify the dataset
Land use and land cover (LULC), CORINE Land Cover, CLC2006, Global Monitoring for Environment and Security Land Fast Track Service Precursor (GMES Land FTSP), Portugal
Topic category 15.41 A predefined ISO category 010 (imageryBaseMapsEarthCover)
Dataset version 15.24.363 Version of the dataset Version 1.
Reference date 15.24.362.394 Date of last modification to the dataset (YYYYMMDD)
20090714
Definition of the reference system used for the dataset
Name 13.196.207 Name of reference system PT-TM06/ETRS89
Identity of the datum Datum
Name 13.192.207 Name of datum D_ETRS_1989
Identity of the ellipsoid
Name 13.191.207 Name of ellipsoid GRS80
Semi-major axis 13.193.202 Radius of the equatorial axis of the ellipsoid
6378137
Axis units 13.193.203 Units of the semi-major axis Meter
Ellipsoid
Flattening ratio 13.193.204 Ratio of the difference between the equatorial and polar radii of the ellipsoid to the equatorial radius when the numerator is set to 1
1 / 298,257 222 101
Identity of the projection
Name 13.190.207 Name of projection Transverse_Mercator
Zone 13.194.216 Unique identifier for grid zone
Reference system
Projection
Standard parallel 13.194.217 Line of constant latitude at which the surface of Earth and the plane or developable surface intersect
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Longitude Of Central Meridian
13.194.218 Line of longitude at the centre of a map projection generally used as the basis for constructing the projection
-8,133108
Latitude of projection origin
13.194.219 Latitude chosen as the origin of rectangular coordinates for a map projection
39,668258
False easting 13.194.220 Value added to all “x” values in the rectangular coordinates for a map projection. This value frequently is assigned to eliminate negative numbers. Expressed in the unit of measure identified in planar coordinate units
False northing 13.194.221 Value added to all “y” values in the rectangular coordinates for a map projection. This value frequently is assigned to eliminate negative numbers. Expressed in the unit of measure identified in planar coordinate units
False easting northing units
13.194.222 Units of false northing and false easting
Scale factor at equator 13.194.223 Ratio between physical distance and corresponding map distance, along the equator
1,000000
Longitude of projection centre
13.194.224 Longitude of the point of projection for azimuthal projections
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Latitude of projection centre
13.194.225 Latitude of the point of projection for azimuthal projections
Information about the distributors of the dataset
Information about the owner organisation
Organisation name 15.29.376 Name of the owner organisation
European Environment Agency
Individual name 15.29.375 Name contact person in the owner organisation
Chris Steenmans
Position name 15.29.377 Position of the contact person in the owner organisation
Project manager
Role 15.29.379 Always “Owner” role Owner
Address: Delivery point 15.29.378.389.381 Address line for the location Kongens Nytorv 6
Address: City 15.29.378.389.382 City of the location Copenhagen
Address: State, Province
15.29.378.389.383 State, province of the location
Address: Postal code 15.29.378.389.384 Postal code of the location 1050
Address: Country 15.29.378.389.385 Country of the location Denmark
Owner 1
Address: E-mail 15.29.378.389.386 The electronic mail address of the owner organisation or individual
Type of constraint 20.70 The type of access right applied to assure the protection of privacy or intellectual property, and any special restriction or limitations on obtaining the resource.
005 (Licence - formal regulation of user rights)
Access rights
Restriction 20.72 Description of the restriction of the access right.
Other aspects explaining the dataset
Language 15.39 Language used within the dataset
EN
Format name 15.32.285 Name of the used exchange format for the dataset
ESRI GDB
Other dataset information
Format version 15.32.286 Version of the used exchange format for the dataset
9.3
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Methodology description 18.81.83 General explanation of the data producer’s knowledge about how the geometry was constructed/derived and how the attribute information being part of the dataset was generated.
CLC06_PT database was derived by combining CHA06_PT with CLC00_PT and generalising the areas smaller than 25 ha. In areas that did not change between 2000 and 2006, CLC06_PT equals CLC00_PT.
Changes 18.EEAChanges Description of the changes since last version of the dataset
-
Information about the event in the creation process of the dataset
Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step1: Union of CHA06_PT with CLC00_PT, in a Geographic Information System.
Source data reference title
18.81.84.91.360 Name of the resource used in process step
-
Source data reference date
18.81.84.91.362 Date of the resource used in process step
-
Source data reference title
18.81.84.91.360 Name of the resource used in process step
-
Source data reference date
18.81.84.91.362 Date of the resource used in process step
-
Source data reference title
18.81.84.91.360 Name of the resource used in process step
-
Source data reference date
18.81.84.91.362 Date of the resource used in process step
-
Process steps
Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step2: Generalisation of areas smaller than 25 ha.
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Description 18.81.84.87 Description of the process step including related parameters or tolerance
Step3: Thematic accuracy assessment with 4200 sampling units.
Description 18.81.84.87 Description of the process step including related parameters or tolerance
-
Description 18.81.84.87 Description of the process step including related parameters or tolerance
-
Scale 15.38.60.57 Gives a rough value of accuracy of the dataset; e.g. 2500000 means dataset has an accuracy suitable for use at scale 1:2.5 million at best
100 000
Geographic accuracy 15.38.61 Geographic accuracy of location, ground distance as an value in meters
100
Geographic position bounding box of the dataset
West bound longitude 15.42.336.344 Western-most coordinate of the limit of the dataset extent, expressed in longitude in decimal degrees (positive east)
-9,681687
East bound longitude 15.42.336.345 Eastern-most coordinate of the limit of the dataset extent, expressed in longitude in decimal degrees (positive east)
-6,162900
Geographic box
South bound latitude 15.42.336.346 Southern-most coordinate of the limit of the dataset extent, expressed in latitude in decimal degrees (positive north)
42,163448
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North bound latitude 15.42.336.347 Northern-most coordinate of the limit of the dataset extent, expressed in latitude in decimal degrees (positive north)