Have a personal or library account? Click to login
An automated algorithm of GRASS GIS to retrieve the data on land cover types in Guinea, West Africa, from Landsat-8 OLI/TIRS images Cover

An automated algorithm of GRASS GIS to retrieve the data on land cover types in Guinea, West Africa, from Landsat-8 OLI/TIRS images

Open Access
|Feb 2024

References

  1. Nyerges, A.E. and Green, G.M. (2000), The Ethnography of Landscape: GIS and Remote Sensing in the Study of Forest Change in West African Guinea Savanna. American Anthropologist, 102: 271-289. https://doi.org/10.1525/aa.2000.102.2.271
  2. Lemenkova, P., (2023), Monitoring Seasonal Fluctuations in Saline Lakes of Tunisia Using Earth Observation Data Processed by GRASS GIS. Land, 12(11), 1995. https://doi.org/10.3390/land12111995
  3. Leach, M. and Fairhead, J. (1994), Natural Resource Management: the Reproduction and Use of Environmental Misinformation in Guinea’s Forest-Savanna Transition Zone, IDS Bulletin, 25: 81-87. https://doi.org/10.1111/j.1759-5436.1994.mp25002008.x
  4. Lemenkova, P., (2023), A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria. Applied System Innovation, 6(4), 61. https://doi.org/10.3390/asi6040061
  5. Lemenkova P., (2022), Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate, ISPRS International Journal of Geo-Information, 11(9), 473. https://doi.org/10.3390/ijgi11090473
  6. Lemenkova, P., (2020), GRASS GIS for topographic and geophysical mapping of the Peru-Chile Trench. Forum geografic, 19(2), 143-157 https://doi.org/10.5775/fg.2020.009.d
  7. Gupta, R., Kumar, S., Gupta, A., (2022), Application of Convolution Neural Network for Cloud Shadows Removal in Landsat Imagery, 2022 IEEE International Conference on Current Development in Engineering and Technology (CCET), Bhopal, India,, pp. 1-8, https://doi.org/10.1109/CCET56606.2022.10080513
  8. Cuartero, A., Paoletti, M. E., Presas, A. R., Haut, J. M., (2022), Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2442-2445, https://doi.org/10.1109/IGARSS46834.2022.9883588
  9. Adugna, T., Xu, W., Haitao, J., Fan, J., (2022), Comparison of FY-3C VIRR and MODIS Time-Series Composite Data for Regional Land Cover Mapping of a Part of Africa. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 3163-3166, https://doi.org/10.1109/IGARSS46834.2022.9884244
  10. Lemenkova, P., Debeir, O., (2023), Multispectral Satellite Image Analysis for Computing Vegetation Indices by R in the Khartoum Region of Sudan, Northeast Africa. Journal of Imaging, 9(5), 98. https://doi.org/10.3390/jimaging9050098
  11. Lemenkova, P, Debeir, O., (2022), R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC. Applied Sciences, 12(24),12554. https://doi.org/10.3390/app122412554
  12. Lemenkova P, Debeir O. (2022), Satellite Image Processing by Python and R Using Landsat 9 OLI/TIRS and SRTM DEM Data on Côte d’Ivoire, West Africa. Journal of Imaging; 8(12):317. https://doi.org/10.3390/jimaging8120317
  13. Lemenkova P, Debeir O., (2023), Computing Vegetation Indices from the Satellite Images Using GRASS GIS Scripts for Monitoring Mangrove Forests in the Coastal Landscapes of Niger Delta, Nigeria. Journal of Marine Science and Engineering.; 11(4):871. https://doi.org/10.3390/jmse11040871
  14. Sylla, L., Xiong, D., Zhang, H.Y., Bangoura, S.T., (2012), A GIS technology and method to assess environmental problems from land use/cover changes: Conakry, Coyah and Dubreka region case study. The Egyptian Journal of Remote Sensing and Space Science, 15(1), 31-38. https://doi.org/10.1016/j.ejrs.2011.12.002
  15. Diallo, I. D., Tilioua, A., Darraz, C., Alali, A., Sidibe, D., (2023), Study and analysis of seasonal soil degradation in Lower Guinea and Forest Guinea. Results in Engineering, 19, 101381. https://doi.org/10.1016/j.rineng.2023.101381
  16. Mering, C., Baro, J., Upegui, E., (2010), Retrieving urban areas on Google Earth images: application to towns of West Africa, International Journal of Remote Sensing, 31:22, 5867-5877, https://doi.org/10.1080/01431161.2010.512311
  17. Lemenkova, P., (2022), Cartographic scripts for seismic and geophysical mapping of Ecuador. Geografie, 127, 195-218. https://doi.org/10.37040/geografie.2022.006
  18. Lemenkova, P., (2022), Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data. Geosciences, 12(3), 140. https://doi.org/10.3390/geosciences12030140
Language: English
Page range: 29 - 36
Published on: Feb 16, 2024
Published by: Ovidius University of Constanta
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Polina Lemenkova, published by Ovidius University of Constanta
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.