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Proceedings Paper

Canadian prairie drought assessment through MODIS vegetation indices
Author(s): Xulin Guo; Wei Gao; Pierrot Richard; Yunpei Lu; Youfei Zheng; Elise Pietroniro
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Paper Abstract

Consecutive droughts that have occurred in the Canadian prairies have resulted in significant economic losses, ecological degradation, and environmental deterioration. The purpose of this study was to investigate the efficiency of remotely sensed data on drought assessment combined with climate data. The study area was the Canadian prairie ecozone in the provinces of Alberta, Saskatchewan, and Manitoba. There objectives were five-fold: 1) comparing Kriging and inverse distance weighting (IDW) interpolation methods, 2) comparing four spectral variables, the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), the red and the mid infrared (MIR), 3) comparing three moisture indices (P-PET, P/PET and (P-PET/PET), 4) evaluating the relationships between spectral variables and moisture indices, and 5) assessing drought effects on different ecoregions. Results showed that there is no significant difference between Kriging and IDW, the two interpolation methods. MODIS vegetation indices could effectively assess drought conditions, especially EVI. Among the moisture indices compared, P-PET showed a better result. The impacts of droughts vary from year to year and from ecoregion to ecoregion. Aspen Parkland has higher drought resistance because of tree components.

Paper Details

Date Published: 9 November 2004
PDF: 10 pages
Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); doi: 10.1117/12.559581
Show Author Affiliations
Xulin Guo, Univ. of Saskatchewan (Canada)
Wei Gao, Colorado State Univ. (United States)
Pierrot Richard, Univ. de Sherbrooke (Canada)
Yunpei Lu, Freelance (Canada)
Youfei Zheng, Nanjing Institute of Meteorology (China)
Elise Pietroniro, Univ. of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 5544:
Remote Sensing and Modeling of Ecosystems for Sustainability
Wei Gao; David R. Shaw, Editor(s)

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