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

Published: 19-04-2021| Version 2 | DOI: 10.17632/rb9pj2c89k.2
Contributors:
Erli Pinto dos Santos,
,

Description

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.

Files

Steps to reproduce

Contact the author Erli Pinto dos Santos (erli.santos@ufv.com) to inform the interest of using the data, refereeing the source.