Canadian prairie drought assessment through MODIS vegetation indices

Xulin Guo; Wei Gao; Pierrot Richard; Yunpei Lu; Youfei Zheng; Elise Pietroniro

doi:10.1117/12.559581

9 November 2004 Canadian prairie drought assessment through MODIS vegetation indices

Xulin Guo, Wei Gao, Pierrot Richard, Yunpei Lu, Youfei Zheng, Elise Pietroniro

Proceedings Volume 5544, Remote Sensing and Modeling of Ecosystems for Sustainability; (2004) https://doi.org/10.1117/12.559581
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

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.

Citation Download Citation

Xulin Guo, Wei Gao, Pierrot Richard, Yunpei Lu, Youfei Zheng, and Elise Pietroniro "Canadian prairie drought assessment through MODIS vegetation indices", Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); https://doi.org/10.1117/12.559581

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