基于SAR与Landsat TM的小区域稻田的识别研究——以南京市江宁区为例

以南京市江宁区为研究区域,根据区域特征、作物物候期和水稻的生长特点,采用分层分类的方法提取稻田分布信息。通过比较多时相SAR数据、TM和多时相SAR融合与TM和单时相SAR融合数据识别水稻的精度和提取的水稻种植面积,分析了不同数据对区域多云雨,不同种植方式、面积小且分布破碎的水稻稻田的识别程度,并根据野外实地走访调查分析了主要影响因素。结果表明:多时相SAR数据、TM和多时相SAR数据的水稻识别精度都高于72%,高于TM和单时相SAR融合数据的结果;前两者提取的水稻种植面积和稻田分布接近,主要影响因素是地物分布、不同种植方式水稻物候期和水稻稻田面积小且分布破碎。

Study on Paddy Identification in Jiangning District based on SAR and Landsat TM Data

The objective of this study was to estimate the area planted with paddy in Jiangning district of Nanjing City,Jiangsu Province.In order to study the paddy identification in rainy and cloudy region where cropping rice was cultivated with the machine or sowed and distributed brokenly,this paper extracted the rice\|planted fields by using the method of hierarchical classification based on different data.The data involved multi\|temporal SAR data,the fusion data with TM and multi\|temporal SAR,and the fusion data with TM and single temporal SAR.Then we compared the results,including the accuracy and the area,and analyzed the reasons according to field investigation.The result showed that the accuracy of paddy identification of multi\|temporal SAR or the fusion with TM and multi\|temporal SAR were not lower 72%,and higher than the fusion with TM and single temporal SAR;the both paddy\|planted area were close.The main factors were that feature distribution,paddy with the different planting patterns and broken distribution.