SAR数据在南方水稻分布图快速更新中的应用方法研究

研究表明,SAR数据对水稻识别和作物长势监测很有潜力。本文研究了在GIS的支持下,用SAR数据对南方水稻分布图进行快速更新的方法。首先,对多时相的SAR数据进行GammapMap滤波、几何精纠正和辐射干扰校正等处理;然后,采用最大似然法进行有监分类,获得水稻分布图;最后,对新、旧水稻分布图作标识码的Overlay处理,即可将水稻分布图更新。结果表明,该方法具有可操作性强,分类、制图精度高的特点。

RAPID UPDATING OF RICE MAP FOR LOCAL GOVERNMENT USING SAR DATA AND GIS IN ZENGCHENG COUNTY, GUANGDONG PROVINCE, CHINA

For rice growing areas in the tropics, experience shows that SAR Satellite sensor can provide the desired information due to acquiring images independently of cloud coverage or daylight conditions. The current study testifies the potential of SAR data for rice mapping. This paper discusses the methodology and result of using SAR data and GIS in updating rice map for the local government in Zengcheng County of Guangzhou province, South of China. The methodology was carefully laid out and was determined to be easily implemented on a semi-automatic basis to facilitate frequent updating of rice map.