NDLI: Development of a simple scattering model for radar backscatters of agricultural fields to be used in retrieving soil moisture

Content Provider	IEEE Xplore Digital Library
Author	Soon-Koo Kweon Ji-Hwan Hwang Yisok Oh
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul, South Korea (Soon-Koo Kweon; Ji-Hwan Hwang; Yisok Oh)
Abstract	This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields using the water-cloud model (WCM) and the first-order radiative transfer (RT) model. This new model is accurate and simple enough to be used for soil moisture retrieval from the measured backscattering coefficients of vegetation fields. To improve the accuracy of the scattering model, we modified the WCM with an additional term for accurately estimating the angular effect of scattering particles in a vegetation canopy, using the relatively accurate first-order RT model. The accuracy of the scattering model was verified with the COSMO SkyMed radar data and ground-truth in-situ measurements of a bean field and a wheat field. The simple model was applied to retrieve soil moisture from the radar measurements. The estimated soil moisture contents agree well with the in-situ measured soil moisture contents for the bean and wheat fields with the correlation coefficients of 0.91 and 0.96, respectively.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	2720
Ending Page	2723
File Size	246904
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723385
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Backscatter Scattering Soil moisture Vegetation mapping Vegetation Radar Soil measurements water-cloud model Inversion algorithm soil moisture vegetation canopy backscattering coefficients the first-order radiative transfer model
Content Type	Text
Resource Type	Article

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

Soil moisture inversion from X-band SAR and scatterometer data of vegetation fields

Inversion Algorithm for Soil Moisture Retrieval from Polarimetric Backscattering Coefficients of Vegetation Canopies

COSMO SkyMed AO projects -soil moisture detection for vegetation fields based on a modified water-cloud model using COSMO-SkyMed SAR data

Development of a simple scattering model for vegetation canopies and examination of its validity with scatterometer measurements of green-onion fields

Development of a scattering model for bean fields from scatterometer system and X-band SAR

Retrieval of Soil Moisture and Surface Roughness from Backscatter Measurements of Vegetation Canopy

A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields

Validity Regions of Soil Moisture Retrieval on the $mbox{LAI}$– $theta$ Plane for Agricultural Fields at L-, C-, and X-Bands

Retrieval of soil moisture and vegetation canopy parameters with L-band radar for a range of boreal forests

Development of a simple scattering model for radar backscatters of agricultural fields to be used in retrieving soil moisture

Similar Documents

Soil moisture inversion from X-band SAR and scatterometer data of vegetation fields

Inversion Algorithm for Soil Moisture Retrieval from Polarimetric Backscattering Coefficients of Vegetation Canopies

COSMO SkyMed AO projects -soil moisture detection for vegetation fields based on a modified water-cloud model using COSMO-SkyMed SAR data

Development of a simple scattering model for vegetation canopies and examination of its validity with scatterometer measurements of green-onion fields

Development of a scattering model for bean fields from scatterometer system and X-band SAR

Retrieval of Soil Moisture and Surface Roughness from Backscatter Measurements of Vegetation Canopy

A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields

Validity Regions of Soil Moisture Retrieval on the $mbox{LAI}$– $theta$ Plane for Agricultural Fields at L-, C-, and X-Bands

Retrieval of soil moisture and vegetation canopy parameters with L-band radar for a range of boreal forests

Development of a simple scattering model for radar backscatters of agricultural fields to be used in retrieving soil moisture