Monitoring of Deforestation in the Democratic Republic of the Congo in the Kisangani Region Using Earth Observation Data (2017-2026)

Remote Sensing for Environmental Monitoring

Authors

First and Last Name Academic degree E-mail Affiliation
Illia Honchar No illagoncar26 [at] gmail.com Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
Bogdan Tsibenko No tsibenkobogdan2005 [at] gmail.com Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
Tetiana Malik Ph.D. malik.tat [at] gmail.com Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
Valentyn Kravchenia No Kvn46dirik [at] gmail.com Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
Oleksandr Tsvyk No tsvik1603 [at] gmail.com Taras Shevchenko National University of Kyiv
Kyiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 24.08.2026 - 12:43
Abstract 

This study presents a comprehensive monitoring and quantitative assessment of deforestation and vegetation cover degradation in the Democratic Republic of the Congo, Kisangani (Tshopo Province), over the period 2017-2026. The research is based on Earth observation data and spatial analysis tools. Through the calculation of the Normalized Difference Vegetation Index (NDVI) and spatial area measurements, zones of new deforestation and significant vegetation loss were identified. It was established that the maximum area of new deforestation was recorded in 2017 (over 1,100 ha), followed by another peak in 2026 (over 1,000 ha). Spatial measurements confirmed structural landscape changes, notably the formation of a large-scale grid-patterned deforestation area that expanded to approximately 2,053.28 ha after 2023. An analysis of the mean NDVI dynamics revealed a sharp decline in vegetation health toward the 2025-2026 period. The obtained results demonstrate the effectiveness of using multispectral satellite data and spatial analysis tools for the rapid assessment of anthropogenic environmental impact.

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