Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products

The Argentine pampas is a wide plain with more than 40 million ha of land suitable for cattle rearing and cropping. Several watersheds with different hydrological characteristics and agricultural practices cover this huge region. Last decades have shown an increase in extreme conditions (droughts an...

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Publicado: 2012
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Karszenbaum
http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Karszenbaum
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spelling paper:paper_97814673_v_n_p_Karszenbaum2023-06-08T16:37:41Z Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products AMSR-E Envisat/ASAR optical depth SMOS soil moisture cropland Agricultural practices AMSR-E Argentina Dynamic range ENVISAT ENVISAT ASAR Extreme conditions Hydrological characteristics La Plata basin Optical depth Polarization ratios Prediction model SMOS Space-borne instruments Spaceborne radiometers Theoretical result X bands Mathematical models Microwaves Remote sensing Soil moisture Landforms The Argentine pampas is a wide plain with more than 40 million ha of land suitable for cattle rearing and cropping. Several watersheds with different hydrological characteristics and agricultural practices cover this huge region. Last decades have shown an increase in extreme conditions (droughts and floods) and the need for improving prediction models. This work is part of an ongoing project related to mapping and monitoring flooding events in La Plata Basin using spaceborne instruments, including SACD/Aquarius. Measurements of AMSR-E, SMOS, and ENVISAT/ASAR over several locations of the Pampas were analyzed. Precipitations, NDVI, PR (polarization ratios for L, C and X band), as well as both SMOS and AMSR-E soil moisture (SM) products trends were evaluated. The sensitivity and the correlation of the different trends were studied. When comparing between frequencies, the measured PRs present trends which agree with theoretical results. SMOS PRs present both higher sensitivity and dynamic range. SMOS optical depth is also shown. Finally Envisat ASAR images collected during the period analyzed are discussed. © 2012 IEEE. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Karszenbaum http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Karszenbaum
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic AMSR-E
Envisat/ASAR
optical depth
SMOS
soil moisture cropland
Agricultural practices
AMSR-E
Argentina
Dynamic range
ENVISAT
ENVISAT ASAR
Extreme conditions
Hydrological characteristics
La Plata basin
Optical depth
Polarization ratios
Prediction model
SMOS
Space-borne instruments
Spaceborne radiometers
Theoretical result
X bands
Mathematical models
Microwaves
Remote sensing
Soil moisture
Landforms
spellingShingle AMSR-E
Envisat/ASAR
optical depth
SMOS
soil moisture cropland
Agricultural practices
AMSR-E
Argentina
Dynamic range
ENVISAT
ENVISAT ASAR
Extreme conditions
Hydrological characteristics
La Plata basin
Optical depth
Polarization ratios
Prediction model
SMOS
Space-borne instruments
Spaceborne radiometers
Theoretical result
X bands
Mathematical models
Microwaves
Remote sensing
Soil moisture
Landforms
Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products
topic_facet AMSR-E
Envisat/ASAR
optical depth
SMOS
soil moisture cropland
Agricultural practices
AMSR-E
Argentina
Dynamic range
ENVISAT
ENVISAT ASAR
Extreme conditions
Hydrological characteristics
La Plata basin
Optical depth
Polarization ratios
Prediction model
SMOS
Space-borne instruments
Spaceborne radiometers
Theoretical result
X bands
Mathematical models
Microwaves
Remote sensing
Soil moisture
Landforms
description The Argentine pampas is a wide plain with more than 40 million ha of land suitable for cattle rearing and cropping. Several watersheds with different hydrological characteristics and agricultural practices cover this huge region. Last decades have shown an increase in extreme conditions (droughts and floods) and the need for improving prediction models. This work is part of an ongoing project related to mapping and monitoring flooding events in La Plata Basin using spaceborne instruments, including SACD/Aquarius. Measurements of AMSR-E, SMOS, and ENVISAT/ASAR over several locations of the Pampas were analyzed. Precipitations, NDVI, PR (polarization ratios for L, C and X band), as well as both SMOS and AMSR-E soil moisture (SM) products trends were evaluated. The sensitivity and the correlation of the different trends were studied. When comparing between frequencies, the measured PRs present trends which agree with theoretical results. SMOS PRs present both higher sensitivity and dynamic range. SMOS optical depth is also shown. Finally Envisat ASAR images collected during the period analyzed are discussed. © 2012 IEEE.
title Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products
title_short Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products
title_full Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products
title_fullStr Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products
title_full_unstemmed Monitoring soil moisture in the Pampas plains of Argentina using spaceborne radiometers and SAR: Evaluation of products
title_sort monitoring soil moisture in the pampas plains of argentina using spaceborne radiometers and sar: evaluation of products
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Karszenbaum
http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Karszenbaum
_version_ 1768545950721114112