2015
DOI: 10.3390/rs70608128
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Abstract: The current study presents an algorithm to retrieve surface Soil Moisture (SM) from multi-temporal Synthetic Aperture Radar (SAR) data. The developed algorithm is based on the Cumulative Density Function (CDF) transformation of multi-temporal RADARSAT-2 backscatter coefficient (BC) to obtain relative SM values, and then converts relative SM values into absolute SM values using soil information. The algorithm is tested in a semi-arid tropical region in South India using 30 satellite images of RADARSAT-2, SMOS L… Show more

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Cited by 78 publications
(60 citation statements)
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References 63 publications
(82 reference statements)
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“…The Kabini Critical Zone Observatory [52] has been monitored since 2002 by the Indo-French Cell for Water Science The Berambadi watershed has been developed as a calibration (CAL) and validation (VAL) site for various satellite mission like Radarsat2 [53], Soil Moisture and Ocean Salinity (SMOS) [53,54] The soil type in the Berambadi watershed is categorized in seven major soils ( Figure 1) at 1:50,000 scale by National Bureau of Soil Survey and Land Use Planning (NBSSLUP) [53]. Major LULC of the watershed is agriculture (approx.…”
Section: Study Areamentioning
confidence: 99%
“…The Kabini Critical Zone Observatory [52] has been monitored since 2002 by the Indo-French Cell for Water Science The Berambadi watershed has been developed as a calibration (CAL) and validation (VAL) site for various satellite mission like Radarsat2 [53], Soil Moisture and Ocean Salinity (SMOS) [53,54] The soil type in the Berambadi watershed is categorized in seven major soils ( Figure 1) at 1:50,000 scale by National Bureau of Soil Survey and Land Use Planning (NBSSLUP) [53]. Major LULC of the watershed is agriculture (approx.…”
Section: Study Areamentioning
confidence: 99%
“…Though the impact of RFI is sensibly different between ascending and descending overpasses, all data is used together to enhance the temporal availability. A good temporal behaviour between average RADARSAT-2 soil moisture and SMOS soil moisture was observed with an RMSE of approximately 0.06 m 3 /m 3 and Pearson's correlation coefficient of approximately 0.9 [30]. …”
Section: Satellite Soil Moisture Datasetsmentioning
confidence: 81%
“…For the active microwave, 30 RADARSAT-2 retrieved soil moisture maps were available over the study area based on the previous study from [30]. Details of the RADARSAT-2 maps are given in Table 1.…”
Section: Satellite Soil Moisture Datasetsmentioning
confidence: 99%
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