60-m Resolution Soil Moisture Estimation Based on a Multisensor Feedforward Neural Network Model

Author:

Portal Gerard1ORCID,Vall-Llossera Mercè1,López-Martínez Carlos1ORCID,Camps Adriano1ORCID,Pablos Miriam2ORCID,Alonso-González Alberto2ORCID,Jagdhuber Thomas3ORCID,Irawan Amir Mustofa2

Affiliation:

1. Institut d'Estudis Espacial de Catalunya, Barcelona, Spain

2. CommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain

3. German Aerospace Center, Microwaves and Radar Institute, Wessling, Germany

Funder

Ministerio de Ciencia e Innovación

INTERACT

Institut d'Estudis Espacials de Catalunya

NewSpace project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference74 articles.

1. XXXI.On the influence of carbonic acid in the air upon the temperature of the ground

2. Charles David Keeling and the Story of Atmospheric CO2 Measurements

3. Systematic observation requirements for satellite-based products for climate supplemental details to the satellite-based component of the implementation plan for the global observing system for climate in support of the UNFCCC,2011

4. The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy

5. Applications of passive microwave observations of surface soil moisture

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