Open Access Paper
21 September 2023 Monitoring post-fire forest regrowth using differenced disturbance index classification
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Proceedings Volume 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023); 127861V (2023) https://doi.org/10.1117/12.2681787
Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus
Abstract
Forest fires are natural ecosystem processes with significant environmental impact. Monitoring the recovery processes is vital to ecological research. The aim of this study is monitoring post-fire forest regrowth using remote aerospace methods and data. To achieve this goal, Differenced Disturbance Index classification was applied for quantitative assessment of the post-fire forest regrowth. The study area is situated in the northeastern part of Rhodope Mountains, near Chernyovtsi village, 15 km from the city of Kardzhali, Bulgaria. A fire took place on October 1, 2012 and affected an area of 15 ha with mixed forests and coniferous forests. For the post-fire forest regrowth monitoring Landsat (ETM+, OLI and OLI-2) satellite imageries were used once per year in August for the 10-year study period – 2012-2022. After applying the proposed methodology, the results are classified maps exhibiting the post-fire regrowth. The data and results of this research will be able to serve Destination Earth (DestinE), which is an ambitious initiative of the European Union to create a digital model of the Earth that will be used for monitoring the effects of natural and human activities on our planet, prediction of extreme events and adapting policies to the climate challenges. The data and models will serve the Bulgarian initiative for the construction of the Digital Twins, which is being pilot developed in the department of Aerospace Information, Space Research and Technology Institute – Bulgarian Academy of Sciences. Open Data were used in this study, with the aim of promoting the Open science policy and FAIR principles as much as possible
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nataliya Stankova, Temenuzhka Spasova, and Iva Ivanova "Monitoring post-fire forest regrowth using differenced disturbance index classification", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127861V (21 September 2023); https://doi.org/10.1117/12.2681787
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KEYWORDS
Forest fires

Landsat

Ecosystems

Vegetation

Raster graphics

Satellites

Aerospace engineering

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