Land cover mapping of Asia,Central Asia, and Middle East
for GLC2000 project
Ryutaro Tateishi, Hiroshi Sato, and Zhu Lin
Center for Environmental Remote Sensing (CEReS), Chiba University
JapanE-mail: [email protected]
GLC 2000 – “FIRST RESULTS” WORKSHOPJRC – Ispra, 18-22 March 2002
Area Coverage
Asia 5-57 North lat. 60-150 East long.
Central Asia 35-60 North lat. 45-90 East long.
Middle East 10-45 North lat. 25-65 East long.
Used data
VEGETATION S-10 NDVI data sets
Legend
Based on “The GLC2000 global legend Version 1.0” by H.J.Stibig
Ground truth
Totally 86 small regions were selected as ground truth sites. (43 sites for Asia, 30 sites for Central Asia, and 13 sites for Middle East)
Number of land cover classes of ground truth is 20. 17classes are from Stibig’s “The GLC2000 global legend Version 1.0” , and 3 additional classes.
Classification
Maximum Likelihood method for monthly NDVI except December
Land cover classes in the classified result
recorded code, LCC code, and land cover
1 0006 paddy
2 0010 artificial surface
4 0003 cultivated area
5 20099 needle leaved evergreen forest
6 20100 needle leaved deciduous forest
7 20097 broadleaved deciduous forest
21 20055 sparse shrubs
24 20058 herbaceous aparse vegetation
43 20025/20454 herbaceous closed vegetation
46 20413/20458 herbaceous vegetation with shrubs
78 40379/40406 wetland
Land cover classes in the classified result(continued)
88 6002 bare rock
90 6004 unconsolidated materials
91 6005 bare soil
92 6006 loose sands
93 8001 natural water body
94 8005 snow
(additional class with LCC formula)
207 - pasture & crop A5XXB5C1D1D9-S0701
208 - corn & bean A5XXB5C2-S0305S0502
209 - paddy & corn A4XXB5C2-S0308S0305
5
1
105
2
Global Land Cover Ground Truth database (GLCGT database)
The GLCGT database consists of regional land cover ground truth (RLCGT) data. The geographical size of a RLCGT data is flexible, from a city size to a continental size.
--- metadata of RLCGT data (text)--- GT land cover code data (raster)--- GT site code data (raster)--- description of GT sites (text)--- optional data (text, raster, or any)
Classified image of Asia
Classified image of Central Asia (Kazakhstan)
Classified image of Middle East
Accuracy assessment
Accuracy assessment has done together in Asia, Central Asia, and Middle East. Training sample data were divided into two groups, group A and group B, for accuracy assessment.
Accuracy
training data validation data accuracy
------------------------------------------------------------
all GT (A+B) all GT (A+B) 99%
GT A GT B 59%
GT B GT A 42%
Conclusions
- Asia, Central Asia and Middle East were classified to 20 land cover types by Maximum Likelihood method of monthly (except December) NDVI.
- Though one type of land cover may include different data characteristics in different regions, enough GT data from different regions results in better accuracy.
- The trial of this classification suggests more GT data must be collected.
- Proposal:
collect ground truth data based on “GLCGT database” concept
among GLC2000 participants