Remote detection of asbestos-cement roofs: Evaluating a QGIS plugin in a low- and middle-income country-Reference-Cited by-同舟云学术

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Remote detection of asbestos-cement roofs: Evaluating a QGIS plugin in a low- and middle-income country

Published:2024-11 Issue: Volume:36 Page:101351
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Gluski Pauline,Ramos-Bonilla Juan Pablo^ORCID,Petriglieri Jasmine R.^ORCID,Turci Francesco^ORCID,Giraldo Margarita,Tommasini Maurizio,Poli Gabriele^ORCID,Lysaniuk Benjamin^ORCID

Funder

Agence Nationale de la Recherche

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Reference47 articles.

1. Mapping roofing with asbestos-containing material by using remote sensing imagery and machine learning-based image classification: a state-of-the-art review;Abbasi;Sustainability,2022

2. Ascolfibras, CONCEPTO DE ASCOLFIBRAS DEL PROYECTO DE LEY NÚMERO 97 DE 2015 SENADO, Bogotá, mayo 4 de 2016.

3. Active and passive remote sensing for supporting the evaluation of the urban seismic vulnerability;Borfecchia;Italian Journal of Remote Sensing,2010

4. Machine Learning, Explained;Btown,2021

5. Risk assessment of the decay of asbestos cement roofs;Campopiano;Ann. Occup. Hyg.,2009

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