NDLI: An investigation of two date unsupervised classification in the context of a national program for Landsat based forest change mapping

Content Provider	IEEE Xplore Digital Library
Author	Leckie, D.G. Walsworth, N. Dechka, J. Wulder, M.
Copyright Year	2002
Description	Author affiliation: Canadian Forest Service, Natural Resources Canada, Victoria, BC, Canada (Leckie, D.G.; Walsworth, N.; Dechka, J.; Wulder, M.)
Abstract	A number of change mapping methods are being evaluated as part of a national program for monitoring Canada's forest cover, change and biomass (Earth Observation for Sustainable Development-EOSD). One approach being evaluated involves a simple two date multispectral unsupervised classification approach to map forest change at a national scale with Landsat data. Key factors are the types and consistency of change classes that emerge from the clustering algorithms and issues related to labelling these into desired change classes. The technique was investigated using two sites. Prince George in central British Columbia, Canada used 1990 and 1999 imagery. The second site of Petawawa in eastern Ontario, has fifteen images from a time period from 1984 to 2001 that were normalized and then analyzed in various image pairs. Utilizing the six visible and infrared Landsat bands from each of two dates in a K-means hyperclustering, classes of conifer, hardwood and mixedwood that had not changed were separated. Before any amalgamation, many clusters were associated with change, especially changes in vegetation on old cuts and open fields. Post-clearing ground vegetation density and type had a moderate influence on the clustering process. Pre-clearing forest type was only a factor in general terms, for example whether it was hardwood, softwood or mixedwood. Clearcuts often had several clusters associated with them, but were well detected when clusters were amalgamated. Partial cuts were only partly detected. The length of time after the cut was an important consideration in their detection. They were detectable for only 2 or 3 years after the cutting. The above approach is expected to be one of several tools used in the EOSD initiative.
Sponsorship	IEEE IEEE Geosci. & Remote Sensing Soc. Canadian Remote Sensing Soc. Univ. Waterloo Natural Resources Canada (NRCan) Canadian Space Agency (CSA) Environ. Canada NASA Nat. Oceanic & Atmos. Adm. (NOAA) Office of Naval Res.(ONR) Nat. Space Dev. Agency of Japan (NASDA) Nat. Polar-orbiting Environ. Satellite Syst. (NPOESS)
Starting Page	1307
Ending Page	1311
File Size	288622
Page Count	5
File Format	PDF
ISBN	078037536X
DOI	10.1109/IGARSS.2002.1026099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Remote sensing Monitoring Biomass Earth Sustainable development Clustering algorithms Vegetation mapping Image resolution Context-aware services
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
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