Title :
Vegetation chlorophyll inversion of coal mining area based on MODIS data
Author :
Cheng, Lijuan ; Sun, Lin
Author_Institution :
Geomatics college, Shandong University of Science and Technology, Qingdao, China
Abstract :
Vegetation indices of NDVI, VIgreen, VARI, EVI were used to establish the one-dimensional linear inversion model combing with field vegetation canopy reflectance and canopy chlorophyll content. By comparison of the results, the model accuracy of NDVI is much higher. But the model established by the 4 indexes has the highest accuracy with the correlation coefficient of 0.503 and root mean square error of 0.3969mg/g. There is a good linear relationship between model predicted chlorophyll value and measured value, the coefficient of determination is 0.546. Surface reflectance products of MOD09A1 (Year 2009) is used to get chlorophyll spatial distribution and to analyze the regional and seasonal characteristics of chlorophyll variation.
Keywords :
Agriculture; Indexes; MODIS; Reflectivity; Remote sensing; Vegetation; Vegetation mapping; MODIS; chlorophyll inversion; coal mining area; vegetation indices;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5690543