Extracting Cotton Cultivation Regions of Xinjiang Shihezi Utilizing the TIMESAT and Satellite Time-Series Images

doi:10.14088/j.cnki.issn0439-8114.2018.04.028

Abstract

Abstract: Applying remote sensing techniques,this paper chose MOD13Q1 in 2014 covering Shihezi City,Xinjiang Uygur Autonomous Region,and uses TIMESAT as well as satellite time-series data to discuss the abstract of vegetation’s area based on its growth curve. To select the ideal D-L filtering method on dealing with Shihezi NDVI time-series set,to obtains the growth curve of Shihezi cotton and then to analyzes the characteristics of cotton growth curve,to extract NDVI thresholds in the growth of cotton,further to extract the cotton cultivation regions in Shihezi we downloaded & processed MODIS data to obtain NDVI time-series data, adopted TIMESAT integration method[asymmetric Gaussian function（A-G） fitting, double logistic curve （D-L） fitting and Savitzky-Golay（S-G） filtering] on fitting and comparison between Shihezi cotton pixel time-series data and the cotton growth curve. As the results show,utilizing the TIMESAT and satellite time-series data is the most effective and accurate method to extract cotton cultivation regions. MODIS has a medium data resolution with large imaging area,which obtains the growth curve of cotton to be used for the extraction of cotton information utilizing satellite time-series data,is significant on supervising cotton cultivation on a big scale along with directing agricultural economy.

Key words: remote sensing, TIMESAT, time-series, NDVI, growth curve

CLC Number:

WEI Rui-qi, LI Lin-feng, XIAN Wei, SHAO Huai-yong, WANG Dun. Extracting Cotton Cultivation Regions of Xinjiang Shihezi Utilizing the TIMESAT and Satellite Time-Series Images[J]. HUBEI AGRICULTURAL SCIENCES, 2018, 57(4): 105-112.

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