New Synthetic Aperture Radar (SAR) vegetation index: correlation test with optical vegetation indices and rainfall data used in the approach

The dataset is important to an article being evaluated by the International Journal of Remote Sensing, which main to propose a new SAR (Synthetic Aperture Radar) vegetation index and performs an evaluation of this index about seasonal and spatial influences. So the dataset brings the results of the Spearman Correlation's test from indices assessment.
Also as part of indices assessment about seasonal influences, rainfall data were important in the approach, thus the dataset contains also rainfall data measured from adopted rain gauges.

本数据集服务于一篇正在《国际遥感学报》（International Journal of Remote Sensing）进行同行评审的学术论文，该论文旨在提出一种新型合成孔径雷达（Synthetic Aperture Radar，SAR）植被指数，并针对该指数的季节与空间影响效应开展评估。因此，本数据集收录了该指数评估过程中产生的斯皮尔曼相关性检验（Spearman Correlation's test）结果。
此外，在针对季节影响的指数评估研究中，降雨数据为研究方法的重要组成部分，因此本数据集同时包含了采用研究所用雨量计实测得到的降雨观测数据。