NDLI: Retrieval of Soil Surface Parameters via a Polarimetric Two-Scale Model

Content Provider	IEEE Xplore Digital Library
Author	Iodice, A. Natale, A. Riccio, D.
Copyright Year	1980
Abstract	We propose a polarimetric two-scale surface scattering model employed to retrieve the surface parameters of bare soils from polarimetric synthetic aperture radar or scatterometer data. The scattering surface considered here is composed of slightly rough randomly tilted facets, for which the small perturbation scattering method holds. The facet random tilt causes both a random variation of the local incidence angle and a random rotation of the local incidence plane around the line of sight. Unlike other similar already existing approaches, our method considers both these stochastic effects in the analytical evaluation of the facet scattering matrix, and their statistical modeling is derived from a proper statistical description of the scattering surface. In particular, we assume that the facet slope (i.e., the slope of the large-scale surface roughness) is a Gaussian random variable, in agreement with both classical and fractal surface models. The proposed scattering model is then used to retrieve bare soil moisture and (large-scale) roughness from the co- and cross-polarized ratios. The performance of the resulting retrieval algorithm and its validity limits are finally assessed by comparing obtained results to “ in situ” measurements. To this aim, data from different measurement campaigns available in literature are employed.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	2531
Ending Page	2547
Page Count	17
File Size	1663986
File Format	PDF
ISSN	01962892
Volume Number	49
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface roughness Rough surfaces Scattering Soil Surface treatment Surface waves Random variables synthetic aperture radar (SAR) Polarimetry retrieval of natural soil parameters rough surfaces
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Inversion of surface parameters from polarimetric SAR

Estimation of Surface Roughness Parameter in Intertidal Mudflat Using Airborne Polarimetric SAR Data

Fitting a Two-Component Scattering Model to Polarimetric SAR Data From Forests

Potential for Surface Parameter Estimation Using Compact Polarimetric SAR

A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data

Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry

Modeling non-Rayleigh speckle distribution in SAR images

Polarimetric Simulations of SAR at L-Band Over Bare Soil Using Scattering Matrices of Random Rough Surfaces From Numerical Three-Dimensional Solutions of Maxwell Equations

Sensitivity of Main Polarimetric Parameters of Multifrequency Polarimetric SAR Data to Soil Moisture and Surface Roughness Over Bare Agricultural Soils

Retrieval of Soil Surface Parameters via a Polarimetric Two-Scale Model

Similar Documents

Inversion of surface parameters from polarimetric SAR

Estimation of Surface Roughness Parameter in Intertidal Mudflat Using Airborne Polarimetric SAR Data

Fitting a Two-Component Scattering Model to Polarimetric SAR Data From Forests

Potential for Surface Parameter Estimation Using Compact Polarimetric SAR

A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data

Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry

Modeling non-Rayleigh speckle distribution in SAR images

Polarimetric Simulations of SAR at L-Band Over Bare Soil Using Scattering Matrices of Random Rough Surfaces From Numerical Three-Dimensional Solutions of Maxwell Equations

Sensitivity of Main Polarimetric Parameters of Multifrequency Polarimetric SAR Data to Soil Moisture and Surface Roughness Over Bare Agricultural Soils

Retrieval of Soil Surface Parameters via a Polarimetric Two-Scale Model