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 Pampas...

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Publicado: 2015
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v8_n8_p4094_Grings
http://hdl.handle.net/20.500.12110/paper_19391404_v8_n8_p4094_Grings
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spelling paper:paper_19391404_v8_n8_p4094_Grings2023-06-08T16:32:15Z Validation Strategies for Satellite-Based Soil Moisture Products over Argentine Pampas Cropland passive microwaves soil moisture validation strategies Meteorological instruments Moisture Satellites Soils Cropland Evaluation strategies Ground-based observations Land surface modeling Passive microwaves Soil moisture ocean salinities Standardized precipitation index Validation strategies Soil moisture agricultural land algorithm ASCAT remote sensing SMOS soil moisture Argentina 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 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. © 2008-2012 IEEE. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v8_n8_p4094_Grings http://hdl.handle.net/20.500.12110/paper_19391404_v8_n8_p4094_Grings
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Cropland
passive microwaves
soil moisture
validation strategies
Meteorological instruments
Moisture
Satellites
Soils
Cropland
Evaluation strategies
Ground-based observations
Land surface modeling
Passive microwaves
Soil moisture ocean salinities
Standardized precipitation index
Validation strategies
Soil moisture
agricultural land
algorithm
ASCAT
remote sensing
SMOS
soil moisture
Argentina
Pampas
spellingShingle Cropland
passive microwaves
soil moisture
validation strategies
Meteorological instruments
Moisture
Satellites
Soils
Cropland
Evaluation strategies
Ground-based observations
Land surface modeling
Passive microwaves
Soil moisture ocean salinities
Standardized precipitation index
Validation strategies
Soil moisture
agricultural land
algorithm
ASCAT
remote sensing
SMOS
soil moisture
Argentina
Pampas
Validation Strategies for Satellite-Based Soil Moisture Products over Argentine Pampas
topic_facet Cropland
passive microwaves
soil moisture
validation strategies
Meteorological instruments
Moisture
Satellites
Soils
Cropland
Evaluation strategies
Ground-based observations
Land surface modeling
Passive microwaves
Soil moisture ocean salinities
Standardized precipitation index
Validation strategies
Soil moisture
agricultural land
algorithm
ASCAT
remote sensing
SMOS
soil moisture
Argentina
Pampas
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. © 2008-2012 IEEE.
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
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v8_n8_p4094_Grings
http://hdl.handle.net/20.500.12110/paper_19391404_v8_n8_p4094_Grings
_version_ 1768545025644298240