NDLI: Landcover classification using ERS SAR/INSAR data over tropical areas

Content Provider	IEEE Xplore Digital Library
Author	Stussi, N. Soo Chin Liew Leong Keong Kwoh Hock Lim Nichol, J. Kim Chuan Goh
Copyright Year	1997
Description	Author affiliation: CRISP, Nat. Univ. of Singapore, Singapore (Stussi, N.)
Abstract	The authors present a classification method using both optical and SAR data in order to perform landcover classification. First, different relevant parameters are derived from ERS-SAR data using multitemporal and interferometric analysis. Optical data are then used to define a set of training areas in order to perform a supervised classification. The results of classification using these techniques are compared with existing land use maps and information derived from SPOT and Landsat data. The authors point out the usefulness of the coherence /spl gamma//sub tandem/ component for this application. Moreover, they show that /spl Delta//spl gamma/ (difference between /spl gamma//sub tandem/ and /spl gamma//sub 35-day/) can give additional useful information for the classification process.
Starting Page	813
Ending Page	815
File Size	410699
Page Count	3
File Format	PDF
ISBN	0780338367
DOI	10.1109/IGARSS.1997.615265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-08-03
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar interferometry Rubber Petroleum Decorrelation Coherence Soil Testing Backscatter Azimuth Vegetation mapping
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

Deforestation monitoring in tropical regions using multitemporal ERS/JERS SAR and INSAR data

Observations, Modeling, and Applications of ERS-ENVISAT Coherence Over Land Surfaces

Analyzing Decorrelation of Multi-temporal SAR Data on InSAR

Understanding ERS InSAR coherence of boreal forests

SAR image classification using the InSar coherence for soil degradation cartography in the south of Tunisia

Temporal Decorrelation for Forested Areas Observed in Spaceborne L-band SAR Interferometry

Combined land-cover classification and stem volume estimation using multitemporal ERS tandem INSAR data

Temporal decorrelation model in repeat pass SAR interferometry for detection of volcanic ash

Deformation parameter estimation in low-coherence areas using a multi-satellite InSAR approach

Landcover classification using ERS SAR/INSAR data over tropical areas

Similar Documents

Deforestation monitoring in tropical regions using multitemporal ERS/JERS SAR and INSAR data

Observations, Modeling, and Applications of ERS-ENVISAT Coherence Over Land Surfaces

Analyzing Decorrelation of Multi-temporal SAR Data on InSAR

Understanding ERS InSAR coherence of boreal forests

SAR image classification using the InSar coherence for soil degradation cartography in the south of Tunisia

Temporal Decorrelation for Forested Areas Observed in Spaceborne L-band SAR Interferometry

Combined land-cover classification and stem volume estimation using multitemporal ERS tandem INSAR data

Temporal decorrelation model in repeat pass SAR interferometry for detection of volcanic ash

Deformation parameter estimation in low-coherence areas using a multi-satellite InSAR approach

Landcover classification using ERS SAR/INSAR data over tropical areas