Application research of MODIS data in monitoring land use change in Fujian

It was necessary and significant to explore the low-cost, high-precision and real-time access method of land-use/cover using the MODIS data multi-temporal and multi-spectral for quickly assess regional land use/cover change. Firstly, the study used maximum values compose (MVC) to select the optimal...

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Bibliographic Details
Main Authors: Weihua Pan, Chungui Zhang, Hui Chen, Yiyong Cai, Jiajin Chen, Lichun Li
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Decision tree classifier system
Decision trees
Economics
Fujian
Land-use/cover
MODIS
Monitoring
NDVI
Remote sensing
Vegetation
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Summary:It was necessary and significant to explore the low-cost, high-precision and real-time access method of land-use/cover using the MODIS data multi-temporal and multi-spectral for quickly assess regional land use/cover change. Firstly, the study used maximum values compose (MVC) to select the optimal MODIS data in Fujian study area because there were mountainous landform and cloudy climatic condition in study area. Secondly, the characteristic variables of surface albedo, vegetation index(NDVI), water index(NDWI) and so on were combined, Moreover, the decision tree classifier system was established based on multi-factors composition for land cover/use classification in Fujian province. The results showed that the decision tree classifier was better than conventional maximum likelihood classifier, and was well applied the MODIS data to classify the land-use/cover of Fujian, because the decision tree classifier system took advantage of the MODIS multi-spectrum characters and artificial intelligence and could achieve a certain high precision, which made an important impact on monitoring land change and protecting arable land.
DOI:10.1109/ICSDM.2011.5969077