Spatial Mapping of Vegetation Based on Out-of-Box Vegetation Indices

Abstract:

The infrastructures of power grid can be easily damaged by fire disasters. Monitoring the spatial variations in the vegetation fraction is significant to predicate the probability of a fire disaster. While each vegetation indices (VI) computing method tends to suit some problem better than others, and typically have different parameters and configurations to be adjusted before achieving optimal performance on a dataset, we focus on conjunction with many types of traditional VIs' computing methods to improve their performance. Experimental results show that the accuracy of vegetation fraction estimation based on our method is higher than by using any single vegetation indices.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4657-4662
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4657
• Online since: September 2014
• Authors: Liang Liu*, Jing Jing Zhang, Ming Jiang Zhang, Wan Guo Wang, Chuan Hu Wei, Tian Ru Zheng
• Keywords: Spatial Mapping, UAV, Vegetation Indices

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