Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018

Boubacar Solly; El Hadji Balla Dieye; Oumar Sy

doi:doi:10.11648/j.ajrs.20200802.11

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Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018

Boubacar Solly, El Hadji Balla Dieye, Oumar Sy

Published in American Journal of Remote Sensing (Volume 8, Issue 2)

Received: 6 September 2020 Accepted: 19 September 2020 Published: 28 September 2020

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Abstract

In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stages: first classification (K-means) over 15 classes, interpretation of the spectral signatures of the resulting classes followed by reclassification according to the chosen nomenclature, creation of thematic masks, classifications on masks, and finally reclassification. With the only difference, our study aims also to contribute, methodologically, to the knowledge of the spectral profiles of plant formation types. On a thematic level, the results show that between 1987 and 2018, forest areas decreased by 377,118.7 ha (or 27.4%), while wooded areas and agricultural and soil surfaces increased by 263,172.4 ha (or 19.1%) and 1560 75.5 ha (11.3%). In terms of change, deforestation by increasing agricultural and soil surfaces is noted along the border with the Gambia, savanization and anthropization is noted along the central part, and stability of forest surfaces followed by a slight increase in savannas and agricultural and soil surfaces is noted in the south.

Published in	American Journal of Remote Sensing (Volume 8, Issue 2)
DOI	10.11648/j.ajrs.20200802.11
Page(s)	35-49
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Soil Occupation, Change Maps, Unsupervised Classification, Vegetation Cover, Upper Casamance

References

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Boubacar Solly, El Hadji Balla Dieye, Oumar Sy. (2020). Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018. American Journal of Remote Sensing, 8(2), 35-49. https://doi.org/10.11648/j.ajrs.20200802.11

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ACS Style

Boubacar Solly; El Hadji Balla Dieye; Oumar Sy. Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018. Am. J. Remote Sens. 2020, 8(2), 35-49. doi: 10.11648/j.ajrs.20200802.11

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AMA Style

Boubacar Solly, El Hadji Balla Dieye, Oumar Sy. Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018. Am J Remote Sens. 2020;8(2):35-49. doi: 10.11648/j.ajrs.20200802.11

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@article{10.11648/j.ajrs.20200802.11,
  author = {Boubacar Solly and El Hadji Balla Dieye and Oumar Sy},
  title = {Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018},
  journal = {American Journal of Remote Sensing},
  volume = {8},
  number = {2},
  pages = {35-49},
  doi = {10.11648/j.ajrs.20200802.11},
  url = {https://doi.org/10.11648/j.ajrs.20200802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20200802.11},
  abstract = {In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stages: first classification (K-means) over 15 classes, interpretation of the spectral signatures of the resulting classes followed by reclassification according to the chosen nomenclature, creation of thematic masks, classifications on masks, and finally reclassification. With the only difference, our study aims also to contribute, methodologically, to the knowledge of the spectral profiles of plant formation types. On a thematic level, the results show that between 1987 and 2018, forest areas decreased by 377,118.7 ha (or 27.4%), while wooded areas and agricultural and soil surfaces increased by 263,172.4 ha (or 19.1%) and 1560 75.5 ha (11.3%). In terms of change, deforestation by increasing agricultural and soil surfaces is noted along the border with the Gambia, savanization and anthropization is noted along the central part, and stability of forest surfaces followed by a slight increase in savannas and agricultural and soil surfaces is noted in the south.},
 year = {2020}
}

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TY  - JOUR
T1  - Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018
AU  - Boubacar Solly
AU  - El Hadji Balla Dieye
AU  - Oumar Sy
Y1  - 2020/09/28
PY  - 2020
N1  - https://doi.org/10.11648/j.ajrs.20200802.11
DO  - 10.11648/j.ajrs.20200802.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 35
EP  - 49
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20200802.11
AB  - In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stages: first classification (K-means) over 15 classes, interpretation of the spectral signatures of the resulting classes followed by reclassification according to the chosen nomenclature, creation of thematic masks, classifications on masks, and finally reclassification. With the only difference, our study aims also to contribute, methodologically, to the knowledge of the spectral profiles of plant formation types. On a thematic level, the results show that between 1987 and 2018, forest areas decreased by 377,118.7 ha (or 27.4%), while wooded areas and agricultural and soil surfaces increased by 263,172.4 ha (or 19.1%) and 1560 75.5 ha (11.3%). In terms of change, deforestation by increasing agricultural and soil surfaces is noted along the border with the Gambia, savanization and anthropization is noted along the central part, and stability of forest surfaces followed by a slight increase in savannas and agricultural and soil surfaces is noted in the south.
VL  - 8
IS  - 2
ER  -

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Author Information

Boubacar Solly

Department of Geography, Assane SECK University of Ziguinchor, Ziguinchor, Senegal
El Hadji Balla Dieye

Department of Geography, Assane SECK University of Ziguinchor, Ziguinchor, Senegal
Oumar Sy

Department of Geography, Assane SECK University of Ziguinchor, Ziguinchor, Senegal

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APA Style

Boubacar Solly, El Hadji Balla Dieye, Oumar Sy. (2020). Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018. American Journal of Remote Sensing, 8(2), 35-49. https://doi.org/10.11648/j.ajrs.20200802.11

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ACS Style

Boubacar Solly; El Hadji Balla Dieye; Oumar Sy. Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018. Am. J. Remote Sens. 2020, 8(2), 35-49. doi: 10.11648/j.ajrs.20200802.11

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AMA Style

Boubacar Solly, El Hadji Balla Dieye, Oumar Sy. Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018. Am J Remote Sens. 2020;8(2):35-49. doi: 10.11648/j.ajrs.20200802.11

Copy | Download

@article{10.11648/j.ajrs.20200802.11,
  author = {Boubacar Solly and El Hadji Balla Dieye and Oumar Sy},
  title = {Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018},
  journal = {American Journal of Remote Sensing},
  volume = {8},
  number = {2},
  pages = {35-49},
  doi = {10.11648/j.ajrs.20200802.11},
  url = {https://doi.org/10.11648/j.ajrs.20200802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20200802.11},
  abstract = {In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stages: first classification (K-means) over 15 classes, interpretation of the spectral signatures of the resulting classes followed by reclassification according to the chosen nomenclature, creation of thematic masks, classifications on masks, and finally reclassification. With the only difference, our study aims also to contribute, methodologically, to the knowledge of the spectral profiles of plant formation types. On a thematic level, the results show that between 1987 and 2018, forest areas decreased by 377,118.7 ha (or 27.4%), while wooded areas and agricultural and soil surfaces increased by 263,172.4 ha (or 19.1%) and 1560 75.5 ha (11.3%). In terms of change, deforestation by increasing agricultural and soil surfaces is noted along the border with the Gambia, savanization and anthropization is noted along the central part, and stability of forest surfaces followed by a slight increase in savannas and agricultural and soil surfaces is noted in the south.},
 year = {2020}
}

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TY  - JOUR
T1  - Remote Sensing Mapping of Land Use and Land Cover Changes in Upper Casamance, Senegal, 1987-2018
AU  - Boubacar Solly
AU  - El Hadji Balla Dieye
AU  - Oumar Sy
Y1  - 2020/09/28
PY  - 2020
N1  - https://doi.org/10.11648/j.ajrs.20200802.11
DO  - 10.11648/j.ajrs.20200802.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 35
EP  - 49
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20200802.11
AB  - In order to study the evolution of land use and the changes in land cover in Upper Casamance, from Landsat images acquired in 1987 and 2018, we used a method of multistage unsupervised classification. Recently developed to mapping and quantification of vegetation land cover changes in West-African coastal, this method is based on the following stages: first classification (K-means) over 15 classes, interpretation of the spectral signatures of the resulting classes followed by reclassification according to the chosen nomenclature, creation of thematic masks, classifications on masks, and finally reclassification. With the only difference, our study aims also to contribute, methodologically, to the knowledge of the spectral profiles of plant formation types. On a thematic level, the results show that between 1987 and 2018, forest areas decreased by 377,118.7 ha (or 27.4%), while wooded areas and agricultural and soil surfaces increased by 263,172.4 ha (or 19.1%) and 1560 75.5 ha (11.3%). In terms of change, deforestation by increasing agricultural and soil surfaces is noted along the border with the Gambia, savanization and anthropization is noted along the central part, and stability of forest surfaces followed by a slight increase in savannas and agricultural and soil surfaces is noted in the south.
VL  - 8
IS  - 2
ER  -

Copy | Download