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Canadian Boreal Dynamic Habitat Index

Canadian Boreal Dynamic Habitat Index

Jun 28, 2011 (Last modified Sep 29, 2011)

Uploaded by Ryan Powers

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Dataset was used in a scientifically peer-reviewed publication

Description:: The Dynamic Habitat Index (DHI) comprises of three indicators of the underlying vegetation dynamics derived from an annual sequence of MODIS monthly fPAR: (i) the cumulative annual greenness, (ii) the minimum level of perennial cover, and (iii) the degree of vegetation seasonality. The fPAR components were first computed for the years 2000-2005 and were then averaged to produce a long-term index of each component. The dataset is currently being used in conjunction with other datasets to help characterize ecosystem properties and biodiversity within the Canadian Boreal region (Brandt, 2009).

Cited references:

Brandt, J. 2009. The extent of the North American boreal zone. Environmental Reviews 17: 101-161. doi:10.1139/A39-004

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Data Provided By:: Integrated Remote Sensing Studio

Content date:: not specified

Citation:

Title: Canadian Boreal Dynamic Habitat Index
Credits: Integrated Remote Sensing Studio
Publication Date: 12/15/2010
Other Citation Info: This dataset was derived from the one used for the manuscript: Coops, N.C., Wulder, M.A., Duro, D.C., Han, T. and Berry, S. (2008). The development of a Canadian dynamic habitat index using multitemporal satellite estimates of canopy light absorbance. Ecological Indicators 8, pp. 754–766. Furthermore, this dataset was adapted to include only those areas contained within the Canadian Boreal.

Online Linkages: http://www.forestry.ubc.ca/Portals/100/images/biospace/DHI-FINAL.pdf

Spatial Resolution:: 1.1076 km

Contact Organization:: not specified

Contact Person(s):

Ryan Powers

Use Constraints:: This work is licensed under a Creative Commons Attribution 3.0 License.

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Dataset Type:: Layer Package

Tags:: dynamic habitat index, canadian boreal, productivity

Downloaded by 11 Members

Bookmarked by 1 Member , 2 Groups

About the Uploader

Ryan Powers

Postdoctoral Researcher, NSERC Fellow with Yale University

RESEARCH TOPIC: - Integration of Remote Sensing and Bayesian Modeling for Fine-scale Prediction of Species - Distributions and Reserve Coverage (mol.org) RESEARCH INTEREST - Remote Sensing & GIS- Biodiversity informatics and conservation- Landscape ecology- Wetland/forest landscape modeling and...