Application Research of MODIS Data in Monitoring Land Use Change in Fujian
It was necessary and significant to explore the lowcost, high-precision and real-time access method of landuse/ cover using the MODIS data multi-temporal and multispectral 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.
Land-use/cover NDVI Decision tree classifier system Fujian Remote sensing
Weihua Pan Chungui Zhang Hui Chen Yiyong Cai Jiajin Chen Lichun Li
Institute of Meteorological Science in Fujian,Fuzhou 350001,China
国际会议
福州
英文
413-416
2011-06-29（万方平台首次上网日期，不代表论文的发表时间）