cff-version: 1.2.0
abstract: "SMAP L3, corresponds to high-resolution satellite soil moisture in (m3 m-3) from active and passive sensors. This dataset can be useful to perform data assimilation of soil moisture with Delft-FEWS system for hydrologic forecasting of the Rhine basin. This will improve the accuracy of the discharge predictions because of the improvements on the states of soil moisture. 

The Sentinel-1 dataset corresponds to high-resolution soil moisture (%) from a passive sensor. This dataset can be used for data assimilation too, but the improvements are not as good as SMAP."
authors:
  - family-names: Vega
    given-names: Jorge
    orcid: "https://orcid.org/0000-0003-3279-1911"
title: "SMAP and Sentinel-1 data of the Rhine basin"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/uuid:99176da8-4ca5-4617-aacd-c801df4a8214
license: CC0
date-released: 2020-07-09