On the Need of Quick Monitoring for Wildfire Response from City Halls
Open Access
- 30 April 2022
- journal article
- Published by Lattice Science Publication (LSP) in Indian Journal of Image Processing and Recognition
- Vol. 2 (3), 1-4
- https://doi.org/10.54105/ijipr.c1014.042322
Abstract
This case study shows that the assessment of burned areas can be done with remote sensing data free of charges in a simple laptop. Describing the open-source software and the methodology step by step, we expect to make it available for county workers in areas attained by wildfires, where a quick response is much needed, as the availability of information is essential for the immediate planning of mitigation measures, such as restoring road access, allocate funds for the recovery of human dwellings and assess further restoration of the ecological system. The example used is a succession of wildfires in Portugal mainland during the summer of 2017, that kills more than 60 people and seriously damaged local resources. Wildfires devastate forest ecosystems, having direct impact on vegetation cover and animal population. The economic interest is also attained, as resin extraction ends and the pine wood burned become useless for the most noble applications, so its value decreased. The tools described in this paper establish a baseline for major changes in forest ecosystems recover and allows to target priorities. Moreover, the result allows the follow up of the surface fuel loading, enabling the targeting of restoration measures in a time basis planning.Keywords
This publication has 7 references indexed in Scilit:
- Remote sensing techniques to assess post-fire vegetation recoveryCurrent Opinion in Environmental Science & Health, 2021
- NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes—Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three DecadesRemote Sensing, 2020
- Applications in Remote Sensing to Forest Ecology and ManagementOne Earth, 2020
- Assessment of Burn Severity using Different Fire Indices: A Case Study of Bandipur National ParkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2019
- Ndvi: Vegetation Change Detection Using Remote Sensing and Gis – A Case Study of Vellore DistrictProcedia Computer Science, 2015
- Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California ShrublandsPLOS ONE, 2014
- A New Metric for Quantifying Burn Severity: The Relativized Burn RatioRemote Sensing, 2014