Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields
This paper investigates a simplified polarimetric decomposition for soil moisture retrieval over agricultural fields. In order to overcome the coherent superposition of the backscattering contributions from vegetation and underlying soils, a simplification of an existing polarimetric decomposition i...
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doaj-dc04ae6e748f4099b35f9e611f1f35da2020-11-24T23:57:06ZengMDPI AGRemote Sensing2072-42922016-02-018214210.3390/rs8020142rs8020142Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural FieldsHongquan Wang0Ramata Magagi1Kalifa Goita2Thomas Jagdhuber3Irena Hajnsek4Centre d’applications et de Recherches en Télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC J1K2R1, CanadaCentre d’applications et de Recherches en Télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC J1K2R1, CanadaCentre d’applications et de Recherches en Télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC J1K2R1, CanadaMicrowaves and Radar Institute, German Aerospace Center, Oberpfaffenhofen 82234, GermanyMicrowaves and Radar Institute, German Aerospace Center, Oberpfaffenhofen 82234, GermanyThis paper investigates a simplified polarimetric decomposition for soil moisture retrieval over agricultural fields. In order to overcome the coherent superposition of the backscattering contributions from vegetation and underlying soils, a simplification of an existing polarimetric decomposition is proposed in this study. It aims to retrieve the soil moisture by using only the surface scattering component, once the volume scattering contribution is removed. Evaluation of the proposed simplified algorithm is performed using extensive ground measurements of soil and vegetation characteristics and the time series of UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar) data collected in the framework of SMAP (Soil Moisture Active Passive) Validation Experiment 2012 (SMAPVEX12). The retrieval process is tested and analyzed in detail for a variety of crops during the phenological stages considered in this study. The results show that the performance of soil moisture retrieval depends on both the crop types and the crop phenological stage. Soybean and pasture fields present the higher inversion rate during the considered phenological stage, while over canola and wheat fields, the soil moisture can be retrieved only partially during the crop developing stage. RMSE of 0.06–0.12 m3/m3 and an inversion rate of 26%–38% are obtained for the soil moisture retrieval based on the simplified polarimetric decomposition.http://www.mdpi.com/2072-4292/8/2/142soil moisturevegetationagricultural fieldspolarimetric decompositionSMAPVEX12UAVSAR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongquan Wang Ramata Magagi Kalifa Goita Thomas Jagdhuber Irena Hajnsek |
spellingShingle |
Hongquan Wang Ramata Magagi Kalifa Goita Thomas Jagdhuber Irena Hajnsek Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields Remote Sensing soil moisture vegetation agricultural fields polarimetric decomposition SMAPVEX12 UAVSAR |
author_facet |
Hongquan Wang Ramata Magagi Kalifa Goita Thomas Jagdhuber Irena Hajnsek |
author_sort |
Hongquan Wang |
title |
Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields |
title_short |
Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields |
title_full |
Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields |
title_fullStr |
Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields |
title_full_unstemmed |
Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields |
title_sort |
evaluation of simplified polarimetric decomposition for soil moisture retrieval over vegetated agricultural fields |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2016-02-01 |
description |
This paper investigates a simplified polarimetric decomposition for soil moisture retrieval over agricultural fields. In order to overcome the coherent superposition of the backscattering contributions from vegetation and underlying soils, a simplification of an existing polarimetric decomposition is proposed in this study. It aims to retrieve the soil moisture by using only the surface scattering component, once the volume scattering contribution is removed. Evaluation of the proposed simplified algorithm is performed using extensive ground measurements of soil and vegetation characteristics and the time series of UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar) data collected in the framework of SMAP (Soil Moisture Active Passive) Validation Experiment 2012 (SMAPVEX12). The retrieval process is tested and analyzed in detail for a variety of crops during the phenological stages considered in this study. The results show that the performance of soil moisture retrieval depends on both the crop types and the crop phenological stage. Soybean and pasture fields present the higher inversion rate during the considered phenological stage, while over canola and wheat fields, the soil moisture can be retrieved only partially during the crop developing stage. RMSE of 0.06–0.12 m3/m3 and an inversion rate of 26%–38% are obtained for the soil moisture retrieval based on the simplified polarimetric decomposition. |
topic |
soil moisture vegetation agricultural fields polarimetric decomposition SMAPVEX12 UAVSAR |
url |
http://www.mdpi.com/2072-4292/8/2/142 |
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