Wildfires Assessed by Remote Sense Images and Burned Land Monitoring
Authors: M. C. Proença
Abstract:
The tools described in this paper enable the location of burned areas where took place the annihilation of natural habitats and establishes a baseline for major changes in forest ecosystems during recovery. Moreover, the result allows the follow up of the surface fuel loading, allowing the evaluation and guidance of restoration measures to remote areas by phased time planning. This case study implements the evaluation of burned areas that suffered successive wildfires in Portugal mainland during the summer of 2017, killing more than 60 people. The goal is to show that this evaluation can be done with remote sense data free of charges in a simple laptop, with open-source software, describing the not-so-simple methodology step by step, to make it accessible for local workers in the areas attained, where 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 needs for restoration of the ecological system. Wildfires also devastate forest ecosystems having a direct impact on vegetation cover and killing or driving away the animal population, besides loss of all crops in rural areas that are essential as local resources. The economic interests are also attained, as the pinewood burned becomes useless for the noblest applications, so its value decreases, and resin extraction ends for several years.
Keywords: Image processing, remote sensing, wildfires, burned areas, SENTINEL-2.
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1583References:
[1] L. Szabó, B. Deák, T. Bíró, G. J. Dyke, S. Szabó, “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 Decades”, Remote Sensing, May 2020, vol. 12(9), 1468. https://doi.org/10.3390/rs12091468
[2] G. M. Gandhi, S. Parthiban, N. Thummalu, A. Christy, “Ndvi: Vegetation Change Detection Using Remote Sensing and Gis – A Case Study of Vellore District”, Procedia Computer Science, Vol. 57, 2015, pp. 1199-1210, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2015.07.415
[3] F. Pérez-Cabello, R. Montorio, D. B. Alves, “Remote sensing techniques to assess post fire vegetation recovery”, Current Opinion in Environmental Science & Health, vol.21, June 2021, ISSN 2468-5844, https://doi.org/10.1016/j.coesh.2021.100251
[4] A. M. Lechner, G. M. Foody, D. S. Boyd, “Applications in Remote Sensing to Forest Ecology and Management”, One Earth, vol. 2 (5), May 2020, pp. 405-412
[5] J. Dash, D. Pont, R. Brownlie, “Remote sensing for precision forestry”, New Zealand Journal of Forestry, vol. 60(4), pp. 15-24, March 2016,
[6] R. Meng, P. E. Dennison, C. M. D'Antonio, M. A. Moritz, “Remote sensing analysis of vegetation recovery following short-interval fires in Southern California shrublands”, Plos One, vol. 9(10), Oct 2014 doi: 10.1371/journal.pone.0110637
[7] Sentinel-2 - Missions - Sentinel Online (esa.int) Accessed Nov 2021
[8] User Guides - Sentinel-2 MSI - Overview - Sentinel Online (esa.int), Accessed November 2021
[9] Sentinel-2 - Satellite Description - Sentinel Online - Sentinel Online (esa.int) Accessed October 2021
[10] SENTINEL-2 User Handbook, ESA Standard Document, ESA 2015
[11] Sentinel-2 - Missions - Resolution and Swath - Sentinel Handbook - Sentinel Online (copernicus.eu) Accessed October 2021
[12] SNAP Download – STEP (esa.int) Link for the actual version (Nov 2021)
[13] Fogo em Pedrógão matou 66 pessoas, feriu 253 e atingiu 261 habitações e 50 empresas - Portugal - Correio da Manhã (cmjornal.pt) Accessed October 2021
[14] A. R. Huete, K. F. Huemmrich, T. Miura, X. Xiao, K. Didan, W. Leeuwen, F. Hall, C. J. Tucker, “Vegetation Index greenness global data set”, White Paper for NASA ESDR/CDR, April 2006
[15] S. A. Parks, G. K. Dillon, C. Miller, “A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio”, Remote Sensing, vol. 6(3), January 2014, DOI: 10.3390/rs6031827
[16] Sentinel 2 Bands and Combinations - GIS Geography, accessed Nov 2021
[17] P. Konkathi, A. Shetty, “Assessment of Burn Severity using Different Fire Indices: A Case Study of Bandipur National Park”, Proc. IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS), October 2019 DOI: 10.1109/TENGARSS48957.2019.8976036
[18] Tiling System « Harmonized Landsat Sentinel-2 (nasa.gov) Accessed March 2022