Multispectral Indices for Wildfire Management
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866909026076327936 |
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| author | Oliveira, Afonso Matos-Carvalho, João P. Moutinho, Filipe Fachada, Nuno |
| author_facet | Oliveira, Afonso Matos-Carvalho, João P. Moutinho, Filipe Fachada, Nuno |
| contents | The increasing frequency and severity of wildfires necessitates advanced methods for effective surveillance and management, as traditional ground-based techniques often struggle to adapt to rapidly changing fire behavior and environmental conditions. This study investigates the use of multispectral aerial and satellite imagery for wildfire management through an assessment of current literature and two practical case studies. We evaluate several multispectral indices for their ability to extract environmental features critical for analyzing wildfire behavior, including vegetation, water bodies, and artificial structures. Our results highlight NVDI for vegetation, MNDWI for water features, and MSR for artificial structures as particularly effective for segmentation and feature extraction. The application of these indices enhances wildfire data processing and supports improved monitoring, risk assessment, and response strategies, demonstrating the potential of multispectral imagery to complement traditional wildfire monitoring and management approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_01751 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Multispectral Indices for Wildfire Management Oliveira, Afonso Matos-Carvalho, João P. Moutinho, Filipe Fachada, Nuno Image and Video Processing Computer Vision and Pattern Recognition Geophysics I.2.10; I.4; I.5; J.2 The increasing frequency and severity of wildfires necessitates advanced methods for effective surveillance and management, as traditional ground-based techniques often struggle to adapt to rapidly changing fire behavior and environmental conditions. This study investigates the use of multispectral aerial and satellite imagery for wildfire management through an assessment of current literature and two practical case studies. We evaluate several multispectral indices for their ability to extract environmental features critical for analyzing wildfire behavior, including vegetation, water bodies, and artificial structures. Our results highlight NVDI for vegetation, MNDWI for water features, and MSR for artificial structures as particularly effective for segmentation and feature extraction. The application of these indices enhances wildfire data processing and supports improved monitoring, risk assessment, and response strategies, demonstrating the potential of multispectral imagery to complement traditional wildfire monitoring and management approaches. |
| title | Multispectral Indices for Wildfire Management |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Geophysics I.2.10; I.4; I.5; J.2 |
| url | https://arxiv.org/abs/2309.01751 |