冬小麦生育期间MODIS多时相NDVI特征分析及其在地物识别上的应用

[目的]为农作物产量预报提供技术支持。[方法]通过分析安徽省小麦生长季MODIS多时相NDVI特征并利用该技术识别水体、城镇居民区、旱地、水田、林地研究了该技术在地物识别及农作物产量预报中的应用。[结果]一季稻和双季晚稻的NDVI最大峰值出现在6月。水体在10月至次年6月^-NDVI（i,j）小于0或略大于0（如浅水体）,而^-NDVI（i,j）小于0.16像元通常为城镇等居民点,水田^-NDVI（i,j）往往小于0.3,一般林地和种植越冬作物的耕地^-NDVI（i,j）均大于0.3。以^-NDVI多时相特征对5大地物类型进行识别时可识别出82.7%林地,67.4%旱地,52.1%水田,15.2%居民区。水体、旱地、水田、林地的识别可信度均达60%以上,其中识别出来的水体中有近80%为现实中的水体,城镇的识别可信度不足20%。[结论]该法在农作物产量预报中具有良好的应用前景。

Analysis on the Multi-temporal Features of MODIS/NDVI in the Growing Period of Winter Wheat and Its Application in Ground-object Identification

[Objective] The study aimed to supply technical support for the prediction of crop yield.[Method] Through analyzing the multi-temporal features of MODIS/NDVI in the growing season of wheat in Anhui Province and recognizing forest land,townish residential area,upland field,paddy field and woodland by using this technique,its application in ground-object identification and prediction of crop yield was studied.[Result] The maximum peak values of NDVI of single-crop rice and late double-crop rice appeared in Ju...