| Technology and Methodology |
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Extraction of rape seed cropping distribution information in Hubei Province based on MODIS images |
| WANG Kai1,2, ZHANG Jiahua2 |
1. Institute of Earth Sciences, Yangtze University, Wuhan 430075, China;
2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China |
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Abstract MODIS vegetation index time series of products can reflect the coverage of vegetation continuously, and is an important data source for remote sensing of crops. The authors selected Hubei Province as the study area. Using the MODIS-normalized difference vegetation index(MODIS-NDVI) data of 75 phases in the period from 2008 to 2013, and combining the crop phenology with samples of ground survey and other auxiliary details, the authors established the model for extracting the area of rape growing, and then extracted the distribution of rape growing in Hubei Province in the period from 2009 to 2013. The overall accuracy of the extraction was 85%, as shown by the verification of the HJ-1A CCD data of small environmental satellite, and this indicates that the reliability of the data of MODIS vegetation index time series and the study methods proposed in this paper for the extraction of the area of rape seed cultivation. The results achieved by the authors are very important for detecting the area of rape growing and information of output, reinforcing the management of agricultural production, adjusting the structure of agriculture, and assisting the government to formulate the agricultural policy scientifically and rationally.
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| Keywords
remote sensing(RS)
GIS
spatial analysis
mining geological environment
spatial-temporal change
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Issue Date: 23 July 2015
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2015,
Vol. 27
