NDLI: Individual tree recognition from multiple high spatial resolution image sources

Content Provider	IEEE Xplore Digital Library
Author	Wulder, M. Nelson, T. Niemann, K.O. Seemann, D. Goodenough, D.G. Dyk, A. Bhogal, A.S.
Copyright Year	2001
Description	Author affiliation: Canadian Forest Service, Nat. Res. Council of Canada, Victoria, BC, Canada (Wulder, M.)
Abstract	The availability of high resolution (1 m or better) imagery from space opens up the possibility of automatic detection of coniferous trees. Our test site is located within the Greater Victoria Watershed (GVWD) on Vancouver Island, British Columbia, Canada. In previous research we have examined various filters for detecting trees over an area with mature and immature Douglas fir trees. We have obtained a 1 m spatial resolution digital orthophoto generated from aerial photography, MEIS 1 m multispectral imagery, and IKONOS panchromatic 1 m imagery over our test site. Within the test site, there are ground plots in which the location of each tree has been determined. These detailed plots are used to assess the accuracy of the methods used for tree detection for each of the high resolution image types. The characteristics of each tree are documented allowing for an assessment of the conditions leading to the identification, or lack of identification, of each tree. The comparison of three differing data sources, each with 1 m spatial resolution, indicates favorable results for the IKONOS satellite data. The highest proportion of the trees from the field stem plot data were identified with the IKONOS satellite panchromatic imagery. While the IKONOS results have a higher rate of false positives than the airborne multispectral data, a preference for the satellite data is due to characteristics such as ease of collection, large image extent, repeatability, and radiometric consistency over a larger area.
Starting Page	771
Ending Page	773
File Size	48660
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.976631
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Spatial resolution Testing Finite impulse response filter Satellite broadcasting Forestry Image resolution Digital filters Remote sensing Image storage
Content Type	Text
Resource Type	Article

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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
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