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| DOI：10.13522/j.cnki.ggps.2019030 |
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| Remote Estimation of Winter Wheat Area and Its Spatio-temporal Characteristics in Henan Province |
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DENG Rongxin, WANG wenjuan, WEI Yichang, ZHANG Fu, LI Chunjing, LIU Wenyu
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1. College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China; 2. School of Resources and Environmental Sciences, Henan University of Economics and Law, Zhengzhou 450046, China
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| Abstract: |
| 【Objective】This paper aims to exactly estimate the winter wheat area in Henan province by remote sensing, and understand the changes in spatio-temporal distribution.【Method】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. 【Result】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. 【Conclusion】The method developed in this paper is proved an available way to estimate the winter wheat area in plain area, and the spatio-temporal distribution of winter wheat area in Henan province is stable, which guarantees the food security of China. |
| Key words: winter wheat area; remote sensing; information extraction; spatio-temporal distribution |
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