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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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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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 |
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1768545025644298240 |