Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery

Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery

Abstract The study of land use land cover has become increasingly significant with the availability of remote sensing data. The main objective of this study is to delineate geohazard-prone areas using semi-automatic classification technique and Sentinel-2 satellite imagery in Bhutan. An open-source,...

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Bibliographic Details
Main Authors: Karma Tempa, Komal Raj Aryal
Format: Article
Language:English
Published: Springer 2022-04-01
Series:SN Applied Sciences
Subjects:
Semi-automatic classification
Sentinel-2
ISODATA
Random Forest
Geohazard
Bhutan
Online Access:https://doi.org/10.1007/s42452-022-05028-6

Internet

https://doi.org/10.1007/s42452-022-05028-6

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