Paddy rice occupied higher position among the staple food crops in the world. Paddy being a wetland crop; it requires more water than the other crops. India is one of the largest paddy producers in the world. Andhra Pradesh is the second largest paddy producer in India after West Bengal. In the latest era of technology, microwave remote sensing play major role in large scale monitoring of crop growth irrespective of environmental condition. In the present study dual polarized pencil beam SCATSAT-1 (Scatterometer Satellite 1) scatterometer and MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI (Normalized Difference Vegetation Index) datasets are used to study paddy crop growth. Horizontal and vertical polarisation brightness temperatures were used to derive Dual Polarization Difference Index (DPDI) for paddy and forest classes. The DPDI was related with 16-day composite of NDVI data of MODIS sensor. To test the hypothesis, z-test was performed for testing significance between DPDI and NDVI. In the z-test the calculated value 11.455 is greater than table value 2.576, hence alternate hypothesis is accepted. Therefore, it is statistically proved that DPDI-NDVI relationship is influenced by soil moisture.

中文翻译：

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星载双极化差异指数（海风SCATSAT-1散射仪）和NDVI（MODIS）对水稻作物生长的比较研究

水稻在世界主要粮食作物中占有较高的地位。水稻是湿地作物；它比其他农作物需要更多的水。印度是世界上最大的稻谷生产国之一。安得拉邦是印度的第二大稻谷生产国，仅次于西孟加拉邦。在最新技术时代，无论环境条件如何，微波遥感在大规模监测农作物生长中都起着重要作用。在本研究中，双极化笔形光束SCATSAT-1（散射仪卫星1）散射仪和MODIS（中分辨率成像光谱仪）NDVI（归一化植被指数）数据集用于研究稻谷作物的生长。水平和垂直极化亮度温度用于得出水稻和森林类别的双重极化差异指数（DPDI）。DPDI与MODIS传感器的NDVI数据的16天合成有关。为了检验假设，执行z检验以检验DPDI和NDVI之间的显着性。在z检验中，计算值11.455大于表值2.576，因此可以接受替代假设。因此，从统计上证明了DPDI-NDVI的关系受土壤水分的影响。