NDLI: A remote sensing study in support of the Kokoda Track conservation initiative

Content Provider	IEEE Xplore Digital Library
Author	Yohannan, A.I. Williams, M.L. Tapley, I.J. Fox, J. Milne, A.K. Taplin, A. Sabi, J.
Copyright Year	2011
Description	Author affiliation: Dept. of Environment and Conservation, Papua New Guinea (Taplin, A.; Sabi, J.) \|\| Horizon Geoscience Consulting, Australia (Tapley, I.J.; Milne, A.K.) \|\| Department of Forest and Ecosystem Science, University of Melbourne, Australia (Fox, J.) \|\| Cooperative Research Centre for Spatial Information, Melbourne, Australia (Yohannan, A.I.; Williams, M.L.)
Abstract	The Kokoda Track area of Papua New Guinea is geographically diverse, with terrain varying from coastal areas to steep mountains, and biomes that extend from mangroves, to grasslands and savannas, and primary forests. The area is the subject of conservation measures using remotely sensed data in a collaboration between the Australian and Papua New Guinea governments. We describe this Kokoda Track initiative and the land cover mapping to be used as a basis for land use planning. We discuss hydromorphological analysis and land cover classification extracted from Interferometric Synthetic Aperture Radar (SAR) imagery. Our land cover analysis has employed two classification techniques, both object-based, and has included texture measures calculated from SAR imagery. The output is a high resolution classification product, to be used by local government stakeholders.
Starting Page	370
Ending Page	373
File Size	1065371
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6048976
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar tracking Rivers Image resolution Australia Optical filters Synthetic aperture radar Tiles Digital Elevation Model InSAR image analysis land cover classification forestry
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

Land cover classification using synthetic aperture radar intensity and polarimetry in comparison with optical remote sensing

Land-cover classification using multitemporal ERS-1/2 InSAR data

Land cover classification from SAR/IFSAR imagery

Bare Earth DEM Generation for Large Floodplains Using Image Classification in High-Resolution Single-Pass InSAR

Accuracy comparison of Differential Interferometric Synthetic Aperture Radar using LiDAR Digital Elevation Model

Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model

Support vector machine fusion of multisensor imagery in tropical ecosystems

Image fusion of radar and optical remote sensing data for land cover classification

Radargrammetry for Digital Elevation Model Generation Using Envisat Reprocessed Image and Simulation Image

A remote sensing study in support of the Kokoda Track conservation initiative

Similar Documents

Land cover classification using synthetic aperture radar intensity and polarimetry in comparison with optical remote sensing

Land-cover classification using multitemporal ERS-1/2 InSAR data

Land cover classification from SAR/IFSAR imagery

Bare Earth DEM Generation for Large Floodplains Using Image Classification in High-Resolution Single-Pass InSAR

Accuracy comparison of Differential Interferometric Synthetic Aperture Radar using LiDAR Digital Elevation Model

Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model

Support vector machine fusion of multisensor imagery in tropical ecosystems

Image fusion of radar and optical remote sensing data for land cover classification

Radargrammetry for Digital Elevation Model Generation Using Envisat Reprocessed Image and Simulation Image

A remote sensing study in support of the Kokoda Track conservation initiative