Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery-Reference-Cited by-同舟云学术

Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery

Published:2023-08-10 Issue:1 Volume:16 Page:3162-3198
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

De Luca Giandomenico¹^ORCID,Modica Giuseppe²^ORCID,Silva João M. N.³^ORCID,Praticò Salvatore¹^ORCID,Pereira José M.C.³^ORCID

Affiliation:

1. Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Reggio Calabria, Italy

2. Dipartimento di Scienze veterinarie, Università degli Studi di Messina, Messina, Italy

3. Forest Research Centre, School of Agriculture, University of Lisbon, Lisbon, Portugal

Funder

European Commisison

POR Calabria FESR

Forest Research Centre

Fundação para a Ciência e a Tecnologia

FCT

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2243900

Reference98 articles.

1. The ASTER spectral library version 2.0

2. Boardman J. W. F. A. Kruse and R. O. Green. 1995. “Mapping Target Signatures via Partial Unmixing of AVIRIS Data.” In Proc. Summaries JPL Airborne Earth Sci. Workshop . Pasadena California USA. http://hdl.handle.net/2014/33635.

3. Wildfire Management in Mediterranean-Type Regions : Paradigm Change Needed Wild Fi Re Management in Mediterranean-Type Regions : Paradigm Change Needed;Cascone S.;Enviromental Research Letters,2020

4. Post-Fire Management of Cork Oak Forests

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Imaging Burned Areas and Fire Severity in Mediterranean Fragmented Ecosystems Using Sentinel-1 and Sentinel-2: The Case Study of Tortoli–Ogliastra Fire (Sardinia);IEEE Geoscience and Remote Sensing Letters;2023