Detection of changes in land use and land cover by globeland 30. Case: Talassemtane National Park, morocco
DOI:
https://doi.org/10.14195/1647-7723_32-1_4Keywords:
GlobeLand30,, detection of changes,, GIS,, remote sensing, , Talassemtane.Abstract
Detecting changes in land use and land cover plays an important role in monitoring the regressive or progressive dynamics of forested areas. Geographic Information Systems (GIS) and remote sensing enable these changes to be monitored and detected by using land cover maps generated for multiple dates. Several institutions are involved in the production of such products. The GlobeLand30 (GL30) map, the first 30 m resolution land cover map is one of these products. We used GL30 for the Talassemtane National Park (TNP) area and for different time periods: 2000, 2010, and 2020. This allowed us to generate land use and land cover maps for the years 2000, 2010, and 2020, and also to produce maps of changes in land use and land cover between 2000-2010 and 2010-2020. The results showed a decline in forest area, estimated at 4039 ha during the period 2000-2010, and 442.62 ha during the period 2010-2020. This study will be used for research studies in the TNP area, particularly for monitoring deforestation.
Downloads
References
Benabid, A. (2000). Flore er ecosysteme du Maroc Évaluation et préservation (Ibis Press & Librairie et éditions Kalila Wa Dimna, Eds.; Ibis Press). DUMAS IMPRIMEUR.
Ben-Said, M., Ghallab, A., Lamrhari, H., Carreira, J. A., Linares, J. C., & Taïqui, L. (2020). Characterizing spatial structure of Abies marocana forest through point pattern analysis. Forest Systems, 29(2), 1–13. DOI: https://doi.org/10.5424/fs/2020292-16754
Betaf, C. N. R. (2019). Elaboration du Plan d’Aménagement et de Gestion du Parc National de TalassemtaneVolume I : Etat des lieux - analyse du périmètre d’intervention et du territoire environnant.
Castro, I., Stan, A. B., Taiqui, L., Schiefer, E., Ghallab, A., Derak, M., & Fulé, P. Z. (2022). Detecting Fire-Caused Forest Loss in a Moroccan Protected Area. Fire, 5(2). DOI: https://doi.org/10.3390/fire5020051
Chang, Y., Hou, K., Li, X., Zhang, Y., & Chen, P. (2018). Review of Land Use and Land Cover Change research progress. IOP Conference Series: Earth and Environmental Science, 113(1). DOI: https://doi.org/10.1088/1755-1315/113/1/012087
Chebli, Y., Chentouf, M., Ozer, P., Hornick, J. L., & Cabaraux, J. F. (2018). Forest and silvopastoral cover changes and its drivers in northern Morocco. Applied Geography, 101(November), 23–35. DOI: https://doi.org/10.1016/j.apgeog.2018.10.006
Chen, J., Cao, X., Peng, S., & Ren, H. (2017). Analysis and applications of GlobeLand30: A review. In ISPRS International Journal of Geo-Information (Vol. 6, Issue 8). MDPI AG. DOI: https://doi.org/10.3390/ijgi6080230
Chen, J., & Chen, J. (2018). GlobeLand30: Operational global land cover mapping and big-data analysis. Science China Earth Sciences, 61(10), 1533–1534. DOI: https://doi.org/10.1007/s11430-018-9255-3
Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M., Zhang, W., Tong, X., & Mills, J. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 7–27. DOI: https://doi.org/10.1016/j.isprsjprs.2014.09.002
Chen, J., Chen, L., Chen, F., Ban, Y., Li, S., Han, G., Tong, X., Liu, C., Stamenova, V., & Stamenov, S. (2021). Collaborative validation of GlobeLand30: Methodology and practices. Geo-Spatial Information Science, 24(1), 134–144. DOI: https://doi.org/10.1080/10095020.2021.1894906
García-álvarez, D., Teresa, M., & Olmedo, C. (2022). Land Use Cover Datasets and Validation Tools: Validation Practices with QGIS.
García-álvarez, D., Teresa, M., Olmedo, C., Mas, J., & Paegelow, M. (2022). Land Use Cover Datasets and Validation Tools. In Land Use Cover Datasets and Validation Tools. Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-90998-7
Hasan, M., Haque, R., & Rahman, M. (2023). Case Studies in Chemical and Environmental Engineering Identifying the land use land cover ( LULC ) changes using remote sensing and GIS approach : A case study at Bhaluka in Mymensingh , Bangladesh. Case Studies in Chemical and Environmental Engineering, 7 (November 2022), 100293. DOI: https://doi.org/10.1016/j.cscee.2022.100293
He, Y., Chipman, J., Siegert, N., & Mankin, J. S. (2022). Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data. Annals of the American Association of Geographers, 0(0), 1–21. DOI: https://doi.org/10.1080/24694452.2022.2077168
Huan, V. D. (2022). Accuracy assessment of land use land cover LULC 2020 (ESRI) data in Con Dao island, Ba Ria - Vung Tau province, Vietnam. IOP Conference Series: Earth and Environmental Science, 1028(1). DOI: https://doi.org/10.1088/1755-1315/1028/1/012010
Jokar Arsanjani, J., Tayyebi, A., & Vaz, E. (2016). GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries. Habitat International, 55, 25–31. DOI: https://doi.org/10.1016/j.habitatint.2016.02.003
Jun, C., Ban, Y., & Li, S. (2014). Open access to Earth land-cover map. Nature, 514(7253), 434. DOI: https://doi.org/10.1038/514434c
Kang, S., Chen, J., & Peng, S. (2017). Topological relations-based detection of spatial inconsistency in GlobeLand30. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2W7), 489–495. DOI: https://doi.org/10.5194/isprs-archives-XLII-2-W7-489-2017
Moreno-Sanchez, R., Carver, D. P., Torres-Rojo, J. M., & Anthamatten, P. (2021). Assessment of the classification accuracy of the Globeland30 Forest class for the temperate and tropical forests of Mexico. Applied Geomatics, 13(2), 147–163. DOI: https://doi.org/10.1007/s12518-020-00328-1
Padma, S. P., Vidhya Lakshmi, S., Prakash, R., Srividhya, S., Sivakumar, A. A., Divyah, N., Canales, C., & Saavedra Flores, E. I. (2022). Simulation of Land Use/Land Cover Dynamics Using Google Earth Data and QGIS: A Case Study on Outer Ring Road, Southern India. Sustainability (Switzerland), 14(24). DOI: https://doi.org/10.3390/su142416373
Pérez-Hoyos, A., Rembold, F., Kerdiles, H., & Gallego, J. (2017). Comparison of global land cover datasets for cropland monitoring. Remote Sensing, 9(11). DOI: https://doi.org/10.3390/rs9111118
Ran, Y. H., & Li, X. (2015). First comprehensive fine-resolution global land cover map in the world from China—Comments on global land cover map at 30-m resolution. Science China Earth Sciences, 58(9), 1677–1678. DOI: https://doi.org/10.1007/s11430-015-5132-4
Sun, B., Chen, X., & Zhou, Q. (2016). Uncertainty assessment of GlobeLand30 Land cover data set over central Asia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(September), 1313–1317. DOI: https://doi.org/10.5194/isprsarchives-XLI-B8-1313-2016
Yang, Y., Xiao, P., Feng, X., & Li, H. (2017). Accuracy assessment of seven global land cover datasets over China. ISPRS Journal of Photogrammetry and Remote Sensing, 125, 156–173. DOI: https://doi.org/10.1016/j.isprsjprs.2017.01.016
Yangouliba, G. I., Zoungrana, B. J. B., Hackman, K. O., Koch, H., Liersch, S., Sintondji, L. O., Dipama, J. M., Kwawuvi, D., Ouedraogo, V., Yabré, S., Bonkoungou, B., Sougué, M., Gadiaga, A., & Koffi, B. (2022). Modelling past and future land use and land cover dynamics in the Nakambe River Basin, West Africa. Modeling Earth Systems and Environment, 0123456789. DOI: https://doi.org/10.1007/s40808-022-01569-2
Zhang, W. W., Chen, J., Liao, A. P., Han, G., Chen, X. H., Chen, L. J., Peng, S., Wu, H., & Zhang, J. (2016). Geospatial knowledge-based verification and improvement of GlobeLand30. Science China Earth Sciences, 59(9), 1709–1719. DOI: https://doi.org/10.1007/s11430-016-5318-4
Zhao, Y., Zhang, K., Fu, Y., & Zhang, H. (2012). Examining land-use/land-cover change in the lake dianchi watershed of the Yunnan-Guizhou plateau of Southwest China with remote sensing and GIS techniques: 1974-2008. International Journal of Environmental Research and Public Health, 9(11), 3843–3865.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Territorium

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows sharing the work with recognition of authorship and initial publication in Antropologia Portuguesa journal.