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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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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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 |