Title :
Extraction of Summer Maize Using MODIS EVI Time Series in Huang-Huai-Hai
Author :
Liu, Jun ; Tian, Qingjiu ; Huang, Yan ; Du, Lingtong
Author_Institution :
Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
Abstract :
This paper explores the feasibility of extracting summer maize using the MODIS EVI time series imagery in Huang-Huai-Hai. We first obtained the spatial distribution of double-season crops based on three-temporal EVI imagery, and then the phenology calendar curves was generated based on the EVI seasonal variation in selected training areas of Huang-Huai-Hai. This curve can be served as a key parameter to separate the summer maize from the double-season crops. Finally, both the spatial distribution and the total area of the summer maize are obtained. The good results suggest that this methodology using MODIS-based EVI can serve as a useful tool to extract the spatial and temporal distribution of summer maize crop at the landscape or regional level.
Keywords :
agriculture; crops; geophysical image processing; image sensors; phenology; time series; vegetation mapping; EVI seasonal variation; HHH region; Huang-Huai-Hai region; MODIS EVI time series imagery; MODIS-based EVI; double-season crop spatial distribution; landscape level; moderate resolution imaging spectroradiometer sensors; phenology calendar curves; regional level; summer maize crop extraction; temporal distribution; three-temporal EVI imagery; Accuracy; Cotton; MODIS; Remote sensing; Springs; Time series analysis; EVI; Huang-Huai-Hai; MODIS; extraction; summer maize;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.365
