NDLI: Seasonal Variation in Spectral Signatures of Five Genera of Rainforest Trees

Content Provider	IEEE Xplore Digital Library
Author	Papes, M. Tupayachi, R. Martinez, P. Peterson, A.T. Asner, G.P. Powell, G.V.N.
Copyright Year	2008
Abstract	Recent technological and methodological advances in the field of imaging spectroscopy (or hyperspectral imaging) make possible new approaches to studying regional ecosystem processes and structure. We use Earth Observing-1 Hyperion satellite hyperspectral imagery to test our ability to identify tree species in a lowland Peruvian Amazon forest, and to investigate seasonal variation in species detections related to phenology. We obtained four images from 2006-2008, and used them to spectrally differentiate crowns of 42 individual trees of 5 taxa using linear discriminant analysis. Temporal variation of tree spectra was assessed using three methods, based on 1) position of spectra in a two-dimensional canonical variable space, 2) a broadband, multispectral dataset derived from sets of narrow bands identified as informative to spectrally separate taxa, and 3) narrow band vegetation indices (photochemical reflectance index and anthocyanin reflectance index) sensitive to leaf pigments. We obtained high classification success with a reduced set of trees (28 individuals) whose crowns were well represented on Hyperion 30 m resolution pixels. Temporal variability of spectra was confirmed by each of the three methods employed. Understanding seasonality of spectral characteristics of tropical tree crowns has implications in spectral based multi-seasonal species mapping and studying ecosystem processes.
Starting Page	339
Ending Page	350
Page Count	12
File Size	1815503
File Format	PDF
ISSN	19391404
Volume Number	6
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation Hyperspectral imaging Vegetation mapping Satellites Ecosystems tropical tree EO-1 Hyperion hyperspectral narrow bands remote sensing seasonality
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Computers in Earth Sciences

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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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