Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas

In this paper, an evaluation strategy for two-candidate satellite-derived SM products is presented. In particular, we analyze the performance of two candidate algorithms [soil moisture ocean salinity (SMOS)-based soil moisture (SM) and advanced scatterometer (ASCAT)-based SM] to monitor SM in Pam...

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Autores principales: Grings, Francisco, Bruscantini, Cintia A., Smucler, Ezequiel, Carballo, Federico, Dillon, María Eugenia, Collini, Estela Ángela, Salvia, Mercedes, Karszenbaum, Haydee
Formato: Artículo
Lenguaje:Inglés
Publicado: IEEE Geoscience and Remote Sensing Society 2017
Materias:
INDEX TERMS
CROPLAND
PASSIVE MICROWAVES
SOIL MOISTURE
VALIDATION STRATEGIES
Acceso en línea:http://hdl.handle.net/20.500.12160/133
Aporte de:
El Abrigo - Repositorio Institucional del Servicio Meteorológico Nacional (SMN) de Servicio Meteorológico Nacional (SMN)
id I63-R169-20.500.12160-133
record_format dspace
spelling I63-R169-20.500.12160-1332024-01-22T16:44:22Z Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas Grings, Francisco Bruscantini, Cintia A. Smucler, Ezequiel Carballo, Federico Dillon, María Eugenia Collini, Estela Ángela Salvia, Mercedes Karszenbaum, Haydee INDEX TERMS CROPLAND PASSIVE MICROWAVES SOIL MOISTURE VALIDATION STRATEGIES In this paper, an evaluation strategy for two-candidate satellite-derived SM products is presented. In particular, we analyze the performance of two candidate algorithms [soil moisture ocean salinity (SMOS)-based soil moisture (SM) and advanced scatterometer (ASCAT)-based SM] to monitor SM in Pampas Plain. The difficulties associated with commonly used evaluation techniques are addressed, and techniques that do not require ground-based observations are presented. In particular, we introduce comparisons with a land-surface model (GLDAS) and SM anomalies and triple collocation analyses. Then, we discuss the relevance of these analyses in the context of end-users requirements, and propose an extreme events-detection analysis based on anomalies of the standardized precipitation index (SPI) and satellite-based SM anomalies. The results show that: 1) both ASCAT and SMOS spatial anomalies data are able to reproduce the expected SM spatial patterns of the area; 2) both ASCAT and SMOS temporal anomalies are able to follow the measured in situ SM temporal anomalies; and 3) both products were able to monitor large SPI extremes at specific vegetation conditions. 2017-02-21T11:47:28Z 2017-02-21T11:47:28Z 2015-08 Article 10.1109/JSTARS.2015.2449237 2151-1535 http://hdl.handle.net/20.500.12160/133 eng IEEE Geoscience and Remote Sensing Society
institution Servicio Meteorológico Nacional (SMN)
institution_str I-63
repository_str R-169
collection El Abrigo - Repositorio Institucional del Servicio Meteorológico Nacional (SMN)
language Inglés
topic INDEX TERMS
CROPLAND
PASSIVE MICROWAVES
SOIL MOISTURE
VALIDATION STRATEGIES
spellingShingle INDEX TERMS
CROPLAND
PASSIVE MICROWAVES
SOIL MOISTURE
VALIDATION STRATEGIES
Grings, Francisco
Bruscantini, Cintia A.
Smucler, Ezequiel
Carballo, Federico
Dillon, María Eugenia
Collini, Estela Ángela
Salvia, Mercedes
Karszenbaum, Haydee
Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
topic_facet INDEX TERMS
CROPLAND
PASSIVE MICROWAVES
SOIL MOISTURE
VALIDATION STRATEGIES
description In this paper, an evaluation strategy for two-candidate satellite-derived SM products is presented. In particular, we analyze the performance of two candidate algorithms [soil moisture ocean salinity (SMOS)-based soil moisture (SM) and advanced scatterometer (ASCAT)-based SM] to monitor SM in Pampas Plain. The difficulties associated with commonly used evaluation techniques are addressed, and techniques that do not require ground-based observations are presented. In particular, we introduce comparisons with a land-surface model (GLDAS) and SM anomalies and triple collocation analyses. Then, we discuss the relevance of these analyses in the context of end-users requirements, and propose an extreme events-detection analysis based on anomalies of the standardized precipitation index (SPI) and satellite-based SM anomalies. The results show that: 1) both ASCAT and SMOS spatial anomalies data are able to reproduce the expected SM spatial patterns of the area; 2) both ASCAT and SMOS temporal anomalies are able to follow the measured in situ SM temporal anomalies; and 3) both products were able to monitor large SPI extremes at specific vegetation conditions.
format Article
author Grings, Francisco
Bruscantini, Cintia A.
Smucler, Ezequiel
Carballo, Federico
Dillon, María Eugenia
Collini, Estela Ángela
Salvia, Mercedes
Karszenbaum, Haydee
author_facet Grings, Francisco
Bruscantini, Cintia A.
Smucler, Ezequiel
Carballo, Federico
Dillon, María Eugenia
Collini, Estela Ángela
Salvia, Mercedes
Karszenbaum, Haydee
author_sort Grings, Francisco
title Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
title_short Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
title_full Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
title_fullStr Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
title_full_unstemmed Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
title_sort validation strategies for satellite-based soil moisture products over argentine pampas
publisher IEEE Geoscience and Remote Sensing Society
publishDate 2017
url http://hdl.handle.net/20.500.12160/133
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