Postfire damage zoning with open low-density LiDAR data sources in semi-arid forests of the Iberian Peninsula-Reference-Cited by-同舟云学术

Postfire damage zoning with open low-density LiDAR data sources in semi-arid forests of the Iberian Peninsula

Published:2024-01 Issue: Volume:33 Page:101114
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Peña-Molina Esther^ORCID,Moya Daniel,Tomé José Luis,Marino Eva^ORCID,Fajardo-Cantos Álvaro,González-Romero Javier^ORCID,Botella-Bou Raúl,Díaz-Montero Asunción^ORCID,Lucas-Borja Manuel Esteban,de las Heras Jorge^ORCID

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

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1. SegNet: A segmented deep learning based Convolutional Neural Network approach for drones wildfire detection;Remote Sensing Applications: Society and Environment;2024-04

2. Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing;E3S Web of Conferences;2024