Land cover change has great impacts on regional ecosystem conservation and environmental change. The aim of this research is to provide an approach to monitor land cover change based on false color synthesis of NDVI. The study area is the Yellow River Delta and the data sources are three scenes of Landsat TM images (TM images were acquired on May 7, 1987, May 5, 1998 and May 3, 2009 respectively). Relative radiometric normalization was done to TM images and then NDVI was calculated. At last, NDVI images were used as red, green and blue band to generate RGB false color synthesized image. Based on the false color synthesized image and principles of color synthesis, the land cover change from 1987 to 2009 in the Yellow River Delta was analyzed. The results are as follows. The grey-white color on the false color synthesized image means the NDVI of this area is always very high, the black color means the NDVI of this area is always very low, and the blue, green and red colors mean the vegetation of this area is in the status of dynamic change. Different color means different switch between land cover types; this is very straightforward, and well describes the characteristics of land cover change in the study area, especially, the switch between nature vegetation and cropland. However, for the instantaneity of NDVI, this approach based on false color synthesis of NDVI should be combined with remote sensing image classification to monitor the land cover change.
刘慧明, 张峰*, 宋创业. 基于NDVI假彩色合成法的土地覆被变化监测[J]. , 2013, 32(3): 271-275.
LIU Hui-ming, ZHANG Feng*, SONG Chuang-ye. Monitoring of land cover change based on false color synthesis of NDVI. , 2013, 32(3): 271-275.
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