Satellite images applied to estimate soil water content:
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhw5c3aUMpVS9eUtb2V2UeGewSVa5YAc6KpQlTsMP28hyphenhyphen6-_qJ17SryTYAU2a41x-25ti-Yqtc-LQPCqU7SiLxykf9zMvml3kVZHfbZJh5qwGCAi41X7AYz2hxUr6SKpPUV1tkNkuojrPo/s320/EVI_NoScale.png)
Last week the other lecturer at the 5 days intensive course on Statistics for Hydrology and Telemetry , at CENPAT Port Madryn, Argentina, Dr. Mauro E. Holzman from IHLLA institute, taught us how to estimate the soil water content by means of the MODIS/Aqua satellite images. A QGIS processed vegetation index image is shown for part of Buenos Aires province: "Las Pampas". The surface temperature and reflectance bands allow to estimate the EVI index, and furthermore the soil moisture content and rates of evapotranspiration . Deeper insight at: https://doi.org/10.1016/j.isprsjprs.2018.03.014