Page 1
NDVI
∗
∗
NDVI
1 1
MODIS/Terra NDVI 250m NDVI
NDVI, MODIS Mae Wang basin
1.
Koster et al.,2004
GSWP2 (the 2nd Global Soil Wetness
Project: Dirmeyer et al.,2002)
Yorozu et al.(2005)
SiBUC (Simple Biosphere including Urban
Canopy: Tanaka, 2004) GSWP2
GSWP2
NDVI (Normalized
Defference Vegetation Index)
2005
NDVI
GSWP2
1 (Hall et al., 2004)
NDVI
京都大学防災研究所年報 第 50 号 B 平成 19 年 4 月
Annuals of Disas. Prev. Res. Inst., Kyoto Univ., No. 50 B, 2007
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Page 2
Fig. 1 This map shows survey area. NDVI in 16th, Oct, 2006
around Thailand is also indicated.
NDVI
Fig. 1
(Global Earth Observation System
of Systems: GEOSS) 10
GEOSS
NDVI
2. NDVI
NDVI
NDV I =IR − R
IR + R(1)
IR R
The north America
The east Asia
Fig. 2 Spacial distribution of crop type. Shaded for the grid
which has more than 10% of cropland fraction.
NDVI
bise (Viovy et al, 1992) bise
NDVI
2005 Fig. 2
1
1
2.1 NDVI
NDVI
• NDVI
• NDVI
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Fig. 3 Survey area and survey point. NDVI in 16th, Oct,
2006 around Thailand is also indicated.
NDVI NDVI
NDVI
NDVI
1 NDVI
N-NDVI
N-NDVI
•NDVI
•
•
•1
2.2
N-NDVI
N-NDVI
2005 1
Table 1 Crop location and crop calendar
No POINT CROP PERIOD
1 18.51 N, 98.41 E Corn May-Oct
2 18.45 N, 98.39 E Corn Jun-Oct
3 18.36 N, 98.37 E Corn double
4 18.60 N, 98.80 ERice Apr-Jun
Onion Jun-Oct
5 18.99 N, 98.98 ERice Apr-Oct
Potato Nov-Mar
6 18.69 N, 98.90 E Fruit
7 18.92 N, 99.04 E Fruit every time
8 18.71 N, 98.91 E Rice
9 18.90 N, 99.01 ERice Apr-Oct
Soy bean Nov-Mar
10 18.52 N, 98.40 ERice Apr-Oct
Soy bean Nov-Mar
F 18.66 N, 98.57 E Forest
• 4 0.36
• 4 0.19
• 3 3
• 0.22 6
2.3
2005
• 0.30
• 0.65
• 2 0.65 0.65
• N-NDVI 0.65 1
3.
NDVI
2.2
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Page 4
(1) Corn (18.51N, 98.41E) (2) Corn (18.45N, 98.39E) (3) Corn (18.36N, 98.37E)
(4) Rice&Onion (18.60N, 98.80E) (5) Rice&Potato (18.99N, 98.98E) (6) Fruit (18.69N, 98.90E)
(7) Fruit (18.92N, 99.04E) (8) Rice (18.71N, 98.91E) (9) Rice&Soy (18.90N, 99.01E)
(10) Rice&Soy (18.52N, 98.40E) Under investigation Cooperators in survey
Fig. 4 Landscape of survey point
2006 10 22 23
Fig. 1
Fig. 3
NDVI
2 10
Table 1
F Fig. 4
1 2
4 5
4. NDVI
4.1 MODIS/Terra NDVI
NDVI
250m 16 MODIS (MODerate resolution
Imaging Spectroradiometer) NDVI MODIS
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Page 5
0.0
0.2
0.4
0.6
0.8
1.0
1 2 3 4 5 6 7 8 9 10 11 12
ND
VI
days
Representative Point 09 2006
(2) Corn
0.0
0.2
0.4
0.6
0.8
1.0
1 2 3 4 5 6 7 8 9 10 11 12
ND
VI
days
Representative Point 03 2006
(4) Rice&Onion
0.0
0.2
0.4
0.6
0.8
1.0
1 2 3 4 5 6 7 8 9 10 11 12
ND
VI
days
Representative Point 05 2006
(7) Fruit
0.0
0.2
0.4
0.6
0.8
1.0
1 2 3 4 5 6 7 8 9 10 11 12
ND
VI
days
Representative Point 08 2006
(10) Rice&others
0.0
0.2
0.4
0.6
0.8
1.0
1 2 3 4 5 6 7 8 9 10 11 12
ND
VI
days
Representative Point 12 2006
(F) Forest
Fig. 5 The time series of NDVI.
Terra Aqua
Terra NDVI
MODIS/Terra NDVI The Land
Processes Distributed Active Archive Center (LP DAAC)
Earth Observing System Data Gateway
2000
••
N-NDVI NDVI
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Page 6
2000 2006 7
4.2
Fig. 5 8 9
NDVI
5 NDVI
NDVI
NDVI
(1)
1 7 20 23 NDVI
• 0.75
• 0.65
0.15
(2)
• N7 ≤ N8 ≤ N9
• N14 ≤ N15 ≤ N16
• N19 ≥ N20 ≥ N21
Ni i ((i−1)×16+1 i×16
) NDVI
(3)
• N4 ≤ N5 ≤ N6
• N16 − N18 ≥ 0.10
(4)
• N6 ≤ N7 ≤ N8
• N14 ≤ N15 ≤ N16
• N18 ≥ N19 ≥ N20
• 0.70 ≤ N1916 ≤ 0.85
• N1311 ≤ 0.75 N18 − N200.10
N ji i j NDVI
(5)
• N8 ≤ N9 ≤ N10
• 0.70 ≤ N1710 ≤ 0.85
• N1311 ≥ 0.75
• N2018 ≥ 0.85
Fig. 6
Fig. 6 Created crop map through time series analsys of
NDVI.
4.3
MODIS/Terra
1km NASA
NDVI LP DAAC
Earth Observing System Data Gateway
Fig. 7 2004
2000 2006
(Fig. 8 ) MODIS/Terra
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Page 7
Fig. 7 Landuse created from MODIS/Terra by NASA
Fig. 8 Landuse plan in Mae Wang basin
Fig. 6 Fig. 8
NDVI
5.
NDVI
NDVI
1
MODIS/Terra 1km
250m
250m
Thada Sukhapunnaphan Jaorin
Kongrak Chai Lrmsak
DC
820063600003
Dirmeyer, P., Gao, X., Oki, T. (2002): The second global soil
wetness project (GSWP-2) science and implementation
plan, IGPO Publication Series No.37.
Hall, F.G., B.Meeson, S.Los, L.Steyaert, E.Brown de
Colstoun, D.Landis, eds.ISLSCP Initiative II. NASA.
DVD/CD-ROM.NASA, 2004.
Koster, R.D., P.A.Dirmeyer, et al. : Regions od strong cou-
pling between soil moisture and precipitation, science,
vol.305, pp.1138-1140, 2004.
Tanaka, K. (2004): Development of the new land surface
scheme SiBUC commonly applicable to basin water
management and numerical weather prediction model,
doctoral dissertation, Kyoto University.
Viovy, N., O.Arino: The best index slope extraction (BISE):
A method for reducing noise in NDVI time series,
Int.J.Remote Sensing, Vol.13, No.8, pp.1585-1590,
1992.
Yorozu, K., Tanaka, K., Ikebuchi, S. (2005): Creating a
global 1-degree dataset of crop type and cropping cal-
endar through the time series analysis of NDVI for
GSWP2 simulation considering irrigation effect, Proc.
of 85th AMS Annual Meeting, 19th conference of Hy-
drology, 6.8. (CD-ROM)
2-2
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Page 8
17
2006.
Creation and Validation of High Resolution Crop Type Map of Mae Wang basin in Northern Thailand Using
the Time Series Analysis of NDVI
Kazuaki YOROZU∗, Kenji TANAKA, Eiichi NAKAKITA and Shuichi IKEBUCHI
∗Graduate school of engineering, Kyoto University
SynopsisThrough the time series analysis of NDVI, the global distributions of crop type and cropping calendar have
been created. Regarding differences of NDVI shape as phenology which shows characteristics of crop, croplands
are classified into various crop types. In this sense, this isn’t applicable to mixture area of many crop types or
landuse. Thus, the filed survey of the information about cropland (crop type, location and cropping calendar) of
Mae Wang basin in northern Thailand is conducted. Using the result of this survey for creation and validation,
high resolution crop type map is created through the time series analysis of NDVI.
Keywords: NDVI, MODIS, time series analysis, crop map, crop calendar, Mae Wang Basin
NDVI
49
pp379-384 2005.
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