Detection of forest gaps due to lightning based on LiDAR technology

Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

CEUAECONF01_015

تاریخ نمایه سازی: 4 اسفند 1400

Abstract:

The skyrocketing rise in spatiotemporal changes in composition, structure and function of forest ecosystems during recent years, it makes inevitable to use remote-sensed data as the main complementary sources. Parallelly, procedures for forest quantification by light detection and ranging (LiDAR) data have been developed at a rapid pace. At this research, the airborne LiDAR data is employed to create Canopy Height Model (CHM). After applying necessary corrections, the final raster map is produced which suggests existent gaps owing to lightning in the forest study area. The result map could be used to detect the temporal change in order to predict the sensitive sites and considering them in future protection plans. This research also illustrates one of the diversified applications of LiDAR method in forest management which is the fundamental goal

Authors

Ali Fakour

Gorgan University of Agricultural Sciences and Natural Resources

Amir Mohammad Fakour

Shahid Beheshti Teacher Training College in Mashhad