杨武德, 宋艳暾, 宋晓彦, 丁光伟. 基于3S和实测相结合的冬小麦估产研究[J]. 农业工程学报, 2009, 25(2): 131-135.
    引用本文: 杨武德, 宋艳暾, 宋晓彦, 丁光伟. 基于3S和实测相结合的冬小麦估产研究[J]. 农业工程学报, 2009, 25(2): 131-135.
    Yang Wude, Song Yantun, Song Xiaoyan, Ding Guangwei. Winter wheat yield estimating based on 3S integration and field measurement[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(2): 131-135.
    Citation: Yang Wude, Song Yantun, Song Xiaoyan, Ding Guangwei. Winter wheat yield estimating based on 3S integration and field measurement[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(2): 131-135.

    基于3S和实测相结合的冬小麦估产研究

    Winter wheat yield estimating based on 3S integration and field measurement

    • 摘要: 该文运用3S集成技术(地理信息系统、遥感和全球定位系统),进行冬小麦产量估测的应用研究。结果表明, 3月下旬是运城地区冬小麦面积监测的最佳时相,4月上、中旬是该区冬小麦产量估算的最佳时期。用遥感信息中的TM提取冬小麦面积,AVHRR提取绿度信息,效果较好。根据归一化植被指数的大小把冬小麦分为3类,同类麦田在不同区域的实测产量差异很大。分析研究区域自然地理特征和关键期气象资料,以归一化植被指数、极高温度、相对湿度为主因子建立了冬小麦遥感—气象—产量综合模型。

       

      Abstract: Integration technology of GIS, RS and GPS were used to estimate yield of winter wheat in Yuncheng of Shanxi. The results showed that the last ten days of March were the optimum time for area estimation of winter wheat. The first and second ten days of April were the best period for estimating yield. It was more effective for information of winter wheat area extraction with TM data and information of green level extraction with AVHRR. According to the amount of NDVI, winter wheat was divided into 3 types and each type of wheat had significant different yield in different region. After analyzing the features of physical geography and key data of meteorology, a synthesis model was established based on the main factors of NDVI, temperature, and humidity.

       

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