LAND COVER MAPPING AND LAND COVER CHANGES Project financed by the World Resources Institute (WRI) carried out by FAO Food and Agriculture Organization of the UN in collaboration with Kenya Department of Resource Surveys and Remote Sensing (DRSRS) WRI - FAO - DRSRS Charles Situma [email protected]
LAND COVER MAPPING AND LAND COVER CHANGES. WRI - FAO - DRSRS. Charles Situma [email protected]. Project financed by the World Resources Institute (WRI) carried out by FAO Food and Agriculture Organization of the UN in collaboration with - PowerPoint PPT Presentation
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LAND COVER MAPPING AND LAND COVER CHANGES
Project financed by the World Resources Institute (WRI) carried out by
FAO Food and Agriculture Organization of the UN in collaboration with
Kenya Department of Resource Surveys and Remote Sensing (DRSRS)
DEPARTMENT OF RESOURCE SURVEYS AND REMOTE SENSING (DRSRS)
MANDATECollection, storage, analysis, updating and dissemination of geo-spatial information on natural resources and environment to facilitate informed decision-making for sustainable development
The data collected by the department forms the basis for formulation of sound development plans, policies and strategies various government ministries and agencies.
DRSRS strives to meet objectives and aspirations of the Ministry and GoK as outlined in Vision 2030
Publications
Project purposes:
- Update of Kenya land cover map (FAO Africover database) 2000 -
2010
- Land Cover Changes Analysis
DELIVERABLES
- National harmonized land cover legend based on FAO/UNEP Land Cover Classification System (LCCS)
- National Land Cover Database
- National Land Cover Changes database (shapefile and mdb)
PRODUCT DISSEMINATION
-The data is hosted by DRSRS
- Results could be downloaded through FAO’s geospatial data portal GeoNetwork
• Satellite - Images acquisition
• Object based segmentation – Definiens Ecognition Software
• Legend - based on FAO Land Cover Classification System / Africover
• Prelabeling of images based on former FAO Africover Data
• Interpretation detail enhancement new tools for classification and labeling - FAO Madcat Software
• Fieldwork Activities
• Topology check
• Interpretation review based on field work results
• Review of homogenity and consistency of interpretation between photointerpreters
• Review of Database fields and codes
• GIS review – final topology check
• Final database output – Data overview through FAO ADG Software
Satellite image interpretation for land cover mappingLand Cover update - Workflow
1) Satellite images
Landsat (2000)Landsat (2005) Aster Google Earth
Landsat Aster Google Earth
Overview Landsat image index
Overview Aster image index
FIELDWORK ACTIVITIES
A fieldwork campaign was carried out in March 2011. Areas to be surveyed were defined following a regular
grid of 0.5 degrees 10*10 Km (ECONET)
According with the accessibility of the areas
(security issues, road network, time schedule) were defined 1 to 4 land
cover classes to survey for each area.
If the plot could not be reached, the points were selected out of the box in
nearby areas.
The map shows the points for each one of the 3 fieldwork teams with additional points within the 10 km plots.
(Source: DRSRS Final Report on Fieldwork Activities)
A sample field data record sheet filled in the field during survey –MDB format
The total points visited by the 3 groups are as follows,Group1 : 60 pointsGroup2: 84 pointsGroup3: 50 points.
Sample point selection
The FAO Afrocover methodology for land cover field survey was illustrated in the last 2 days of the workshop held in DRSRS in January 2011.
Due to the fact that the preliminary interpretation was not yet completed was defined to use a regular grid as source to define the field points, as mentioned in the previous slide.
Within this areas, according with the accessibility and land cover type available in the area, were defined specific locations to survey (1-4 points for each block).
Each sample plot measured 10 Km x10 Km Figure 3.2). At least three sample points were surveyed in each plot The full procedure was run from the accessibility assessment, to the
definition of field work results output.
Sampling area
Sample point
10 Km
10
Km
Field Survey KE_167Picture direction WField Survey KE_167Picture direction S
For Each poin were recorded information about the land cover and 4 pictures in the cardinal directions N E S W
The survey number and picture direction are visible in the blackboard in the picture
After the field work, the data was downloaded and loaded in ArcGIS with all the details of each plot no and corresponding
photos of each plot. An hyperlink was created in order to view the pictures linked to each point clicking on the point symbol