Application of algorithms for estimating surface soil moisture and roughness parameters using CRL/NASDA airborne SAR (PI-SAR) data

2002 ◽  
Author(s):  
T. Tadono ◽  
M. Qong ◽  
H. Wakabayashi ◽  
M. Shimada ◽  
T. Kobayashi ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Roughness Parameters ◽  
Surface Soil Moisture ◽  
Sar Data ◽  
Airborne Sar

scholarly journals Study for estimating surface soil moisture and roughness parameters using a numerical scattering model and polarimetric airborne SAR data

2000 ◽  
Vol 44 ◽  
pp. 265-270
Author(s):  
Takeo TADONO ◽  
Muhtar QONG ◽  
Hiroyuki WAKABAYASHI ◽  
Masanobu SHIMADA ◽  
Tatsuharu KOBAYASHI ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Roughness Parameters ◽  
Surface Soil Moisture ◽  
Scattering Model ◽  
Sar Data ◽  
Airborne Sar

Vegetation parameter retrieval from SAR data using near-surface soil moisture estimates derived from a hydrological model

2005 ◽  
Author(s):  
Cozmin Lucau-Danila ◽  
Moira Callens ◽  
Pierre Defourny ◽  
Niko E. C. Verhoest ◽  
Valentijn R. N. Pauwels
Keyword(s):  
Soil Moisture ◽  
Hydrological Model ◽  
Surface Soil ◽  
Surface Soil Moisture ◽  
Near Surface ◽  
Vegetation Parameter ◽  
Sar Data ◽  
Parameter Retrieval

Surface soil moisture retrieval on agricultural catchments of Navarre, Spain through RADARSAT-1 SAR data: first results

2004 ◽  
Author(s):  
Jesus Alvarez ◽  
Niko E. Verhoest ◽  
Javier Casali ◽  
Maria Gonzalez-Audicana ◽  
Jose J. Lopez
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Surface Soil Moisture ◽  
Agricultural Catchments ◽  
First Results ◽  
Sar Data

scholarly journals HIGH-RESOLUTION ENHANCED PRODUCT BASED ON SMAP ACTIVE-PASSIVE APPROACH USING SENTINEL 1A AND 1B SAR DATA

2018 ◽  
Vol XLII-5 ◽  
pp. 203-205 ◽  
Author(s):  
N. N. Das ◽  
D. Entekhabi ◽  
S. Kim ◽  
T. Jagdhuber ◽  
S. Dunbar ◽  
...  
Keyword(s):  
Soil Moisture ◽  
High Resolution ◽  
Surface Soil ◽  
Rangeland Management ◽  
Synthetic Aperture ◽  
Vegetation Density ◽  
Surface Soil Moisture ◽  
Data Assessment ◽  
Sar Data ◽  
Beta Version

<p><strong>Abstract.</strong> SMAP project released a new enhanced high-resolution (3km) soil moisture active-passive product. This product is obtained by combining the SMAP radiometer data and the Sentinel-1A and -1B Synthetic Aperture Radar (SAR) data. The approach used for this product draws heavily from the heritage SMAP active-passive algorithm. Modifications in the SMAP active-passive algorithm are done to accommodate the Copernicus Program’s Sentinel-1A and -1B multi-angular C-band SAR data. Assessment of the SMAP and Sentinel active-passive algorithm has been conducted and results show feasibility of estimating surface soil moisture at high-resolution in regions with low vegetation density (&amp;sim;<span class="thinspace"></span>&amp;lt;<span class="thinspace"></span>3<span class="thinspace"></span>kg<span class="thinspace"></span>m<sup>&amp;minus;2</sup>). The beta version of this product is released to public on Nov 1st, 2017. This high resolution (3<span class="thinspace"></span>km) soil moisture product is useful for agriculture, flood mapping, watershed/rangeland management, and ecological/hydrological applications.</p>

Mapping near-surface soil moisture on regional scale using ERS-2 SAR data

2003 ◽  
Vol 24 (22) ◽  
pp. 4579-4598 ◽  
Author(s):  
A. Oldak ◽  
T. J. Jackson ◽  
P. Starks ◽  
R. Elliott
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Regional Scale ◽  
Surface Soil Moisture ◽  
Near Surface ◽  
Sar Data
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