Spatially-Explicit Prediction of Wildfire Burn Probability Using Remotely-Sensed and Ancillary Data

Spatially-Explicit Prediction of Wildfire Burn Probability Using Remotely-Sensed and Ancillary Data

Wildfire is a critical process shaping the structure and composition of forest landscapes of western Canada. Spatially-explicit forest disturbance history and forest structure estimated using remotely-sensed data enables the characterization of burn probability, defined as the susceptibility of land...

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Bibliographic Details
Main Authors:	Chen Shang, Michael A. Wulder, Nicholas C. Coops, Joanne C. White, Txomin Hermosilla
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2020-05-01
Series:	Canadian Journal of Remote Sensing
Online Access:	http://dx.doi.org/10.1080/07038992.2020.1788385

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