<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and biodiversity. In this study, the Landsat 8-9 OLI/TIRS satellite images for 2015-2022 were classified using GRASS GIS scripts to evaluate changes in the Lorian Swamp wetland, north-eastern Kenya. The results of the image analysis presented maps of land cover changes including wetlands. The study demonstrated technical effectiveness of the GRASS GIS for image analysis, and contributed to the environmental monitoring of African wetlands.</p>
</abstract>

Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and biodiversity. In this study, the Landsat 8-9 OLI/TIRS satellite images for 2015-2022 were classified using GRASS GIS scripts to evaluate changes in the Lorian Swamp wetland, north-eastern Kenya. The results of the image analysis presented maps of land cover changes including wetlands. The study demonstrated technical effectiveness of the GRASS GIS for image analysis, and contributed to the environmental monitoring of African wetlands.

Mapping Wetlands of Kenya Using Geographic Resources Analysis Support System (GRASS GIS) with Remote Sensing Data

Université Libre de Bruxelles (ULB), École Polytechnique de Bruxelles (Brussels Faculty of Engineering)

Laboratory of Image Synthesis and Analysis, Campus du Solbosch

Transylvanian Review of Systematical and Ecological Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and...

Mapping Wetlands of Kenya Using Geographic Resources Analysis Support System (GRASS GIS) with Remote Sensing Data

Publié en ligne: 11 janv. 2024

Pages: 1 - 18

DOI: https://doi.org/10.2478/trser-2023-0008

Mots clés
Africa, Kenya, wetlands, remote sensing, image processing, cartography, GRASS GIS

© 2023 Polina Lemenkova, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mapping Wetlands of Kenya Using Geographic Resources Analysis Support System (GRASS GIS) with Remote Sensing Data

Publié en ligne: 11 janv. 2024

Pages: 1 - 18

DOI: https://doi.org/10.2478/trser-2023-0008

Mots clésAfrica, Kenya, wetlands, remote sensing, image processing, cartography, GRASS GIS

© 2023 Polina Lemenkova, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Africa, Kenya, wetlands, remote sensing, image processing, cartography, GRASS GIS