数字农科院2.0

EXTRACTION OF PLANTING AREAS OF MAJOR CROPS AND CROP GROWTH MONITORING IN NORTHEAST CHINA

文献类型： 外文期刊

作者： Huang, Qing;Zhou, Qingbo;Wu, Wenbin;Wang, Limin;Zhang, Li;Huang, Qing;Zhou, Qingbo;Wu, Wenbin;Wang, Limin;Zhang, Li

作者机构：

关键词： MODIS data;NDVI;Accuracy assessment;Crop growth monitoring;Area extraction

期刊名称： INTELLIGENT AUTOMATION AND SOFT COMPUTING

ISSN： 1079-8587

年卷期： 2012 年 18 卷 8 期

页码：

收录情况： SCI

摘要： This paper presents a method used in China Agriculture Remote Sensing Monitoring System (CHARMS) for automatically identifying crop planting areas and monitoring crop growth conditions at a large scale based on time-series of MODIS NDVI Datasets. In doing that, the characteristics of NDVI time series of spring wheat, spring corn, soybean and rice in Northeastern China were firstly analyzed to determine the threshold values used for extracting different crops. Then using these thresholds, extraction models for above-mentioned four major crops were established and applied to obtain the spatial distribution of these four crops in Northeastern China in 2009. In comparison with the average statistic data of several years, the total extraction accuracy is over 87%, which suggests its feasibility to extract planting areas of different crops at a large scale using MODIS data. Based on the extracted crop planting areas, the same MODIS NDVI time series data were used to monitor crop growth conditions in 2009 and compared with the average crop growth of last five years. The crop growth conditions were categorized into three classes, better than usual, usual and worse than usual. The results showed that crop growth conditions in Northeastern China varied over both spatial and temporal scales.

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