Modeling post-fire forest regrowth using tasseled cap-derived indicators

Nataliya Stankova; Daniela Avetisyan

doi:10.1117/12.2679783

19 October 2023 Modeling post-fire forest regrowth using tasseled cap-derived indicators

Nataliya Stankova, Daniela Avetisyan

Proceedings Volume 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV; 1273419 (2023) https://doi.org/10.1117/12.2679783
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Wildfires are natural processes in the ecosystem, some of them causing significant environmental disturbances. The remote aerospace methods and data can provide an efficient, easy and cost-effective tool for monitoring the recovery of burnt forests which is an essential task in the ecological research. The aim of this study is to monitor post-fire forest regrowth introducing an approach using the tasseled cap derived Disturbance Index (DI), Vector of Instantaneous Condition (VIC) and Direction Angle (DA). The high accuracy of the methodology is based on the linear orthogonal transformation of multispectral satellite images (Tasseled cap transformation (TCT)), which increases the degree of identification of the three main components changing during fire – soil, vegetation and moisture. The proposed method was tested on the territory of three test fires with different forest environments, located next to Bistritsa, Ardino, and Perperek, Bulgaria. For the purpose of post-fire regrowth monitoring Landsat and Sentinel-2 satellite imageries have been used for the study period – 2012-2022. For the purpose of validation very high resolution (VHR) satellite data have been used that include World View (2/3) and GeoEye (1) sensors as well as aerial images. Results obtained by the implementation of the proposed approach represent the post-fire regrowth dynamics. The DA follows the change trends of the VIC, however, more clearly represents the changes of the Greenness TC component for the studied period.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Nataliya Stankova and Daniela Avetisyan "Modeling post-fire forest regrowth using tasseled cap-derived indicators", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 1273419 (19 October 2023); https://doi.org/10.1117/12.2679783

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KEYWORDS

Forest fires

Vegetation

Satellites

Ecosystems

Satellite imaging

Earth observing sensors

Landsat

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