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Adsavakulchai, S. and Minns, D. and Chan, A. (2005) Using Remote Sensing to Estimate the Impact of Landuse Practices on Ecosystem Diversity: An Example in Southeastern Ontario. UTCC Engineering Research Papers. ISSN 1906-1625

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Abstract

The Shannon Diversity Index (SHDI) is one of the most widely-used measures of diversity in the ecology literature. Landsat thematic mapper (TM) has been used to map the SHDI from landuse classification, and the relationships between SHDI estimates and satellitemeasured reflectance have been analyzed. The Normalized Difference Vegetation Index (NDVI) is used as an index for a rough measurement of green biomass and ecosystem diversity using a relatively simple and direct remote-sensing approach. NDVI values for diversity assessment and monitoring are used to map vegetation land cover with a special emphasis on agriculture. The vegetation dynamics in the context of different land cover types lead to variations in the spectral radiance in ecosystem diversity indicator values. Preliminary results applied to an example in southeastern Ontario, where four eco-districts were considered, indicate a positive correlation between Landsat TM reflectance and parameters related to SHDI. Three hypothetical landuse change scenarios were applied to the sample region to estimate the potential impact of energy cropping on biodiversity.

Item Type: Article
Subjects: Engineering > Computer and Multimedia Engineering
Divisions: School > School of Engineering
Depositing User: Kitikun Pongsak
Date Deposited: 16 May 2014 20:46
Last Modified: 16 May 2014 20:46
URI: http://eprints.utcc.ac.th/id/eprint/706

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