NDLI: Exploration of factors limiting biomass estimation by polarimetric radar in tropical forests

Content Provider	IEEE Xplore Digital Library
Author	Quinones, M.J. Hoekman, D.H.
Copyright Year	1980
Abstract	Direct inversion of radar return signals for forest biomass estimation is limited by signal saturation at medium biomass levels (roughly 150 ton/ha for P-band). Disturbing factors such as forest structural differences - and, notably, at low biomass levels, terrain roughness, and soil moisture variation - cause further complications. A new and indirect inversion approach is proposed that may circumvent such problems. Using multifrequency polarimetric radar the forest structure can be assessed accurately. Ecological relationships link these structures with biomass levels, even for high biomass levels. The LIFEFORM model is introduced as a new approach to transform field observations of the complex tropical forest into input files for the theoretical UTARTCAN polarimetric backscatter model. The validity of UTARTCAN for a wide range of forest structures is shown. Backscatter simulations for a wide range of forest structures, terrain roughness, and soil moisture clearly show the limitations of the direct approach and the validity of the proposed indirect approach up to very high levels of biomass.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	86
Ending Page	104
Page Count	19
File Size	1618101
File Format	PDF
ISSN	01962892
Volume Number	42
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomass Radar polarimetry Backscatter Soil moisture Spaceborne radar Biological system modeling Radar theory Vegetation mapping Floods Polarization
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

Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry

Effects Of Temperature On Radar Backscatter From Boreal Forests

Single-baseline polarimetric SAR interferometry

Using microwave radar for soil moisture inversion under soybean canopies

Estimation of Soil Moisture and Faraday Rotation From Bare Surfaces Using Compact Polarimetry

The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass

Exploiting GNSS signals for soil moisture and vegetation biomass retrieval

An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter

Incidence Angle Normalization of Radar Backscatter Data

Exploration of factors limiting biomass estimation by polarimetric radar in tropical forests

Similar Documents

Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry

Effects Of Temperature On Radar Backscatter From Boreal Forests

Single-baseline polarimetric SAR interferometry

Using microwave radar for soil moisture inversion under soybean canopies

Estimation of Soil Moisture and Faraday Rotation From Bare Surfaces Using Compact Polarimetry

The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass

Exploiting GNSS signals for soil moisture and vegetation biomass retrieval

An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter

Incidence Angle Normalization of Radar Backscatter Data

Exploration of factors limiting biomass estimation by polarimetric radar in tropical forests