Polarimetric scanning radiometer C- and X-band microwave observations during SMEX03

Jackson, Thomas J.; Bindlish, Rajat; Gasiewski, Albin J.; Stankov, B. B.; Klein, M.; Njoku, E. G.; Bosch, David D.; Coleman, Tommy L.; Laymon, Charles A.; Starks, Patrick J.

doi:10.1109/tgrs.2005.857625

Cited by 78 publications

(31 citation statements)

References 10 publications

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“…Lower frequencies, L-band (1-2 GHz), are more sensitive to soil moisture, but they are more susceptible to dense vegetation and radio frequency interference (RFI). The higher frequency C (6.9 GHz) and X (10.65 GHz) bands can be used to retrieve SM [42] as higher frequency bands are comparatively less susceptible to RFI. A detailed description of the AMSR-E SM retrieval algorithm can be found in [43,44].…”

Section: Amsr-e Soil Moisturementioning

confidence: 99%

Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S.

Ray

Fares

et al. 2017

Water

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Abstract:The main goal of this study was to evaluate four major remote sensing soil moisture (SM) products over the state of Texas. These remote sensing products are: (i) the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) (2002( -September 2011; (ii) the Soil Moisture Ocean Salinity system (SMOS, 2010-present); (iii) AMSR2 (2012-present); and (iv) the Soil Moisture Active Passive system (SMAP, 2015-present). The quality of the generated SM data is influenced by the accuracy and precision of the sensors and the retrieval algorithms used in processing raw data. Therefore, it is important to evaluate the quality of these satellite SM products using in situ measurements and/or by inter-comparing their data during overlapping periods. In this study, these two approaches were used where we compared each satellite SM product to in situ soil moisture measurements and we also conducted an inter-comparison of the four satellite SM products at 15 different locations in Texas over six major land cover types (cropland, shrub, grassland, forest, pasture and developed) and eight climate zones along with in situ SM data from 15 Mesonet, USCRN and USDA-NRCS Scan stations. Results show that SM data from SMAP had the best correlation coefficients range from 0.37 to 0.92 with in situ measurements among the four tested satellite surface SM products. On the other hand, SM data from SMOS, AMSR2 and AMSR-E had moderate to low correlation coefficients ranges with in situ data, respectively, from 0.24-0.78, 0.07-0.62 and 0.05-0.52. During the overlapping periods, average root mean square errors (RMSEs) of the correlations between in situ and each satellite data were 0.13 (AMSR-E) and 0.13 (SMOS) cm 3 /cm 3 (2010-2011), 0.16 (AMSR2) and 0.14 (SMOS) cm 3 /cm 3 (2012-2016) and 0.13, 0.16, 0.14 (SMAP, AMSR2, SMOS) cm 3 /cm 3 (2015-2016), respectively. Despite the coarser spatial resolution of all four satellite products (25-36 km), their SM measurements are considered reasonable and can be effectively used for different applications, e.g., flood forecasting, and drought prediction; however, further evaluation of each satellite product is recommended prior to its use in practical applications.

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Section: Amsr-e Soil Moisturementioning

confidence: 99%

Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S.

Ray

Fares

et al. 2017

Water

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“…Similarly, a number of large scale field experiments have been carried out attempting to correlate the spatial and temporal variability of surface soil moisture under various land cover types to various airborne and satellite microwave measurements: ISLSCP Field Experiment [32], SMEX03 [33], SMEX04 [34], SMEX05, AgriSAR2006 [35], SMOSREX [36] and SMAPVEX08. Although it can be argued that most progress has been made with passive microwave sensors [37], only active sensors meet the spatial resolution and coverage required for many of the applications of consistent soil moisture data.…”

Section: Introductionmentioning

confidence: 99%

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

2009

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Abstract:The importance of land surface-atmosphere interactions, principally the effects of soil moisture, on hydrological, meteorological, and ecological processes has gained widespread recognition over recent decades. Its high spatial and temporal variability however, makes soil moisture a difficult parameter to measure and monitor effectively using traditional methods. Microwave remote sensing technology has demonstrated the potential to map and monitor relative soil moisture changes over large areas at regular intervals in time and also the opportunity of measuring, through inverse modelling, absolute soil moisture values. This ability has been demonstrated under a variety of topographic and land cover conditions using both active and passive microwave instruments. The purpose of this paper is to review the current status of soil moisture determination from active microwave remote sensing systems and to highlight the key areas of research that will have to be addressed to achieve routine use of the proposed retrieval approaches.

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“…Several large-scale field experiments that included aircraft microwave radiometric measures were conducted within the framework of HAPEX-Sahel, FIFE, Monsoon'90, SMEX and NAFE'05 (Schmugge et al, 1992;Jackson et al, 2005;Panciera et al, 2008;Mladenova et al, 2010). So far, passive and active sensors have been used to map SSM over semi arid areas by using C-and L-band frequencies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

Baup

Mougin

Rosnay

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. The potentialities of ENVISAT ASAR (Advanced Synthetic Aperture Radar) multi-angle data for mapping surface soil moisture (SSM) in Sahelian rangelands are investigated at medium scale (30 000 km 2 ). The Wide Swath data are selected to take advantage of their high temporal repetitivity (about 8 days at the considered scale) associated to a moderate spatial resolution (150 m). In the continuity of previous studies conducted at a local scale in the same region, SSM maps are here processed over the whole AMMA Gourma mesoscale site at 1 km resolution scale. Overall, the generated maps are found to be in good agreement with field data, EPSAT-SG (Estimation des Pluies par SATellite -Second Generation) rainfall estimates and ERS (European Remote Sensing) Wind Scatterometer (WSC) SSM products. The present study shows that the spatial pattern of SSM can be realistically estimated at a kilometric scale. The resulting SSM maps are expected to provide valuable information for initialisation of land surface models and the estimation of the spatial distribution of radiative fluxes. Particularly, SSM maps could help to desaggregate low-resolution products such as those derived from WSC data.

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Polarimetric scanning radiometer C- and X-band microwave observations during SMEX03

Cited by 78 publications

References 10 publications

Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S.

Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S.

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

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