Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS

Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS

This paper reports a semi-automated workflow for detection and quantification of forest damage from windthrow in an Alpine region, in particular from the Vaia storm in October 2018. A web-GIS platform allows to select the damaged area by drawing polygons; several vegetation indices (VIs) are automat...

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Bibliographic Details
Main Authors: Marco Piragnolo, Francesco Pirotti, Carlo Zanrosso, Emanuele Lingua, Stefano Grigolato
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
Vaia storm
Sentinel-2
climate change
windthrow
forest disturbance
vegetation index
Online Access:https://www.mdpi.com/2072-4292/13/8/1541

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