| Cite this article: | 邓荣鑫,王文娟,魏义长,等.河南省冬小麦种植面积遥感监测及其时空特征研究[J].灌溉排水学报,2019,(9):-. |
| DENG Rong-xin,WANG wen-juan,WEI Yi-chang,et al.河南省冬小麦种植面积遥感监测及其时空特征研究[J].灌溉排水学报,2019,(9):-. |
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| Remote estimation of winter wheat area and its spatio-temporal characteristics in Henan province |
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DENG Rong-xin1, WANG wen-juan2, WEI Yi-chang1, ZHANG Fu1, Li Chun-jing1, LIU Wen-yu1
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1.College of Surveying and Geo-informatics,North China University of Water Resources and Electric Power;2.School of Resources and Environmental Sciences,Henan University of Economics and Law
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| Abstract: |
| It"s important for government and farmers to timely acquire the spatio-temporal distribution in winter wheat area. Remote sensing of winter wheat area based on time series images is an effective method. The key of this method is to determine the rules and threshold values, which will lead to uncertainty for the result to a certain extent. In order to estimating the winter wheat area more accurately, in this paper, we built the extracted rules using time series MODIS remote sensing images, and determined threshold values with the help of statistical data to extract the winter wheat area and its spatio-temporal variation in Henan province from 2004 to 2013. By comparing with statistical data of each counties, the result showed that, the mean precision was 89.5% in plain area, but the precision was low in some zones, where the distribution of winter wheat area was relative fragmental influenced by terrain, economic construction, et al. On the spatial scale, the distribution of winter wheat area in Henan province was centralized, mainly focused on Yellow River Plain and Huai River Plain of Henan province. On the temporal scale, the change of winter wheat area in Henan province was not obvious, the least change was located in the east of Henan province, the significantly increased zone was in the Nanyang Basin, and the significantly reduced zone was dispersive. The study provides a new method for remotely monitoring winter wheat area and decision support for food production and management. |
| Key words: winter wheat area; remote sensing; information extraction; spatio-temporal distribution |
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