[1. Amenu B. T. and Mamo G. S., 2018 ‒ Review on wetland ecosystem destruction, International Journal of Scientific Research in Civil Engineering, 2, 2, 5-15.]Search in Google Scholar
[2. Asangwe C. K., 2006 – The Douala Coastal Lagoon Complex, Cameroon, Environmental Issues, in Administering Marine Spaces: International Issues, Denmark, 20.]Search in Google Scholar
[3. Asangwe C. K., 2009 – Monitoring wetlands deterioration in the Cameroon coastal lowlands: implications for management, Procedia Earth and Planetary Science, 1, 1, 1010-1015.10.1016/j.proeps.2009.09.156]Search in Google Scholar
[4. Asomani-Boateng R., 2019 ‒ Urban wetland planning and management in Ghana: a disappointing implementation, Wetlands, 39, 251-261.10.1007/s13157-018-1105-7]Search in Google Scholar
[5. Bannari A., Morin D., Bonn F. and Huete A., 1995 – A review of vegetation indices, Remote Sensing Reviews, 13, 95-120.10.1080/02757259509532298]Search in Google Scholar
[6. Banoho L. P. R. K., Zapfack L., Weladji R. B., Djomo C. C., Nyako M. C., Nasang J. M., Tagnang M. D. and Mbobda R. B. T., 2020 – Biodiversity and carbon sequestration potential in two types of tropical rainforest, Cameroon, Acta Oecologica, 105, 103562.10.1016/j.actao.2020.103562]Search in Google Scholar
[7. Baret F. and Guyot G., 1991 – Potential and limitations of vegetation indices for LAI and APAR assessment, Remote Sensing of Environment, 104, 88-95.]Search in Google Scholar
[8. Beatty W. S., Kesler D. C., Webb E. B., Raedeke A. H., Naylor L. W. and Humburg D. D., 2014 ‒ The role of protected area wetlands in waterfowl habitat conservation: implications for protected area network design, Biological Conservation, 176, 144-152.10.1016/j.biocon.2014.05.018]Search in Google Scholar
[9. Brock T. C. M. and van Vierssen W. 1992 ‒ Climatic change and hydrophytes-dominated communities in inland wetland ecosystems, Wetlands Ecology and Management, 2, 37-49.]Search in Google Scholar
[10. Bosma C., Glenk K. and Novo P., 2017 ‒ How do individuals and groups perceive wetland functioning? Fuzzy mapping of wetland perceptions in Uganda, Land Use Policy, 60, 181-196.10.1016/j.landusepol.2016.10.010]Search in Google Scholar
[11. Bontemps S., Arias M., Cara C., Dedieu G., Guzzonato E., Hagolle O., Inglada J., Morin D., Rabaute T., Savinaud M., Sepulcre G., Valero S., Defourny P. and Koetz B., 2015 – Sentinel-2 for agriculture: supporting global agriculture monitoring, 2015 IEEE Symposium, 4185-4188.10.1109/IGARSS.2015.7326748]Search in Google Scholar
[12. Böhner J., McCloy K. R. and Strobl J., 2006 – SAGA – Analysis and modelling applications, Göttinger Geographische Abhandlungen, 115, 130.]Search in Google Scholar
[13. Campbell J. B., 2002 ‒ Introduction to remote sensing, Guilford Press, 667.]Search in Google Scholar
[14. Claverie M., Ju J., Masek J. G., Dungan J. L., Vermote E. F., Roger J.-C., Skakun S. V. and Justice C., 2018 – The Harmonized Landsat and Sentinel-2 surface reflectance dataset, Remote Sensing of Environment, 219, 145-161.10.1016/j.rse.2018.09.002]Search in Google Scholar
[15. Clewley D., Bunting P., Shepherd J., Gillingham S., Flood N., Dymond J., Lucas R., Armston J. and Moghaddam M., 2014 – A Python-Based Open Source System for Geographic Object-Based Image Analysis Utilizing Raster Attribute Tables, Remote Sensing, 6, 7, 6111-6135.10.3390/rs6076111]Search in Google Scholar
[16. Conrad O., Bechtel B., Bock M., Dietrich H., Fischer E., Gerlitz L., Wehberg J., Wichmann V., and Böhner J., 2015 – System for Automated Geoscientific Analyses (SAGA) v. 2.1.4, Geoscientific Model Development, 8, 1991-2007.10.5194/gmd-8-1991-2015]Search in Google Scholar
[17. Cushman S. A., McGarigal K. and Neel M. C., 2008 – Parsimony in landscape metrics: strength, universality, and consistency, Ecological Indicators, 8, 691-703.10.1016/j.ecolind.2007.12.002]Search in Google Scholar
[18. Crippen R. E., 1990 – Calculating the vegetation index faster, Remote Sensing of Environment, 34, 71-73.10.1016/0034-4257(90)90085-Z]Search in Google Scholar
[19. Deering D. W., Rouse J. W., Haas R. H. and Schell J. A., 1975 – Measuring “Forage Production” of Grazing Units From Landsat MSS Data, Proceedings of the 10th International Symposium on Remote Sensing of Environment, 2, 1169-1178.]Search in Google Scholar
[20. Fokeng M. R. and Meli M. V., 2015 ‒ Modelling drivers of forest cover change in the Santchou Wildlife Reserve, West Cameroon using remote sensing and land use dynamic degree indexes, Canadian Journal of Tropical Geography, 2, 2, 29-42, http://laurentian.ca/cjtg.]Search in Google Scholar
[21. Fokeng R. M., Forje W. G., Meli V. M. and Bodzemo B. N., 2020 ‒ Multi-temporal forest cover change detection in the Metchie-Ngoum Protection Forest Reserve, West Region of Cameroon, The Egyptian Journal of Remote Sensing and Space Sciences, 23, 113-124.10.1016/j.ejrs.2018.12.002]Search in Google Scholar
[22. Fonkou T., Télesphore B. N., Julius B. K., Nguetsop V. F., Lekeufack M., Motue E. S. T., Youga M. K. D. and Mboujda M. F. M., 2017 ‒ Ethnobotanical study on wetland macrophytes of medicinal importance in the Western Highlands of Cameroon, Cameroon Journal of Experimental Biology, 11, 1, 23. DOI: 10.4314/cajeb.v11i1.3.10.4314/cajeb.v11i1.3]Search in Google Scholar
[23. Fritz S., See L., McCallum I., You L., Bun A., Moltchanova E., Duerauer M., Albrecht F., Schill C., Perger C., Havlik P., Mosnier A., Thornton P., Wood-Sichra U., Herrero M., Becker- Reshef I., Justice C., Hansen M., Gong P., Abdel Aziz S., Cipriani A., Cumani R., Cecchi G., Conchedda G., Ferreira S., Gomez A., Haffani M., Kayitakire F., Malanding J., Mueller R., Newby T., Nonguierma A., Olusegun A., Ortner S., Rajak D. R., Rocha J., Schepaschenko D., Schepaschenko M., Terekhov A., Tiangwa A., Vancutsem C., Vintrou E., Wenbin W., van der Velde M., Dunwoody A., Kraxner F. and Obersteiner M., 2015 ‒ Mapping global cropland, Global Change Biology, 21, 1980-1992.10.1111/gcb.12838]Search in Google Scholar
[24. Gao G., 1996 ‒ NDWI – A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 58, 257-266.10.1016/S0034-4257(96)00067-3]Search in Google Scholar
[25. Hagolle O., Kadiri M. and Morin D., 2017 – Sentinel-2 Agriculture ‒ Detailed Processing Model for Monthly Synthesis product, Sen2Agri, Université catholique de Louvain, 1-12.]Search in Google Scholar
[26. Huete A. R. 1988 – A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25, 3, 295-309.]Search in Google Scholar
[27. Jurgens C., 1997 ‒ The modified normalized difference vegetation index (mNDVI) a new index to determine frost damages in agriculture based on Landsat TM data, International Journal of Remote Sensing, 18, 3583-3594.10.1080/014311697216810]Search in Google Scholar
[28. Klaučo M., Gregorová B., Stankov U., Marković V. and Lemenkova P., 2013a ‒ Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area, Open Geosciences, 5, 1, 28-42.10.2478/s13533-012-0120-0]Search in Google Scholar
[29. Klaučo M., Gregorová B., Stankov U., Marković V. and Lemenkova P., 2013b ‒ Interpretation of landscape values, typology and quality using methods of spatial metrics for ecological planning, Environmental and Climate Technologies, October 14, 2013, Riga, Latvia, 2.]Search in Google Scholar
[30. Klaučo M., Gregorová B., Stankov U., Marković V. and Lemenkova P., 2014 ‒ Landscape metrics as indicator for ecological significance: assessment of Sitno Natura 2000 sites, Slovakia, Ecology and Environmental Protection, March 19-20, Minsk, Belarus, 85-90.]Search in Google Scholar
[31. Klaučo M., Gregorová B., Koleda P., Stankov U., Marković V. and Lemenkova P., 2017 ‒ Land planning as a support for sustainable development based on tourism: A case study of Slovak rural region, Environmental Engineering and Management Journal, 2, 1, 6, 449-458.10.30638/eemj.2017.045]Search in Google Scholar
[32. Lambi C. M., Kimengsi J. N., Kometa C. G. and Tata E. S., 2012 ‒ Them anagement and challenges of protected areas and the sustenance of local livelihoods in Cameroon, Environment and Natural Resources Research, 2, 3, 10-18.10.5539/enrr.v2n3p10]Search in Google Scholar
[33. Lang N., Schindler K. and Wegner J. D., 2019 – Country-wide high-resolution vegetation height mapping with Sentinel-2, Remote Sensing of Environment, 233, 111347.10.1016/j.rse.2019.111347]Search in Google Scholar
[34. Lawhead J. 2019 ‒ This library reads and writes ESRI shapefiles in pure Python, https://github.com/GeospatialPython/pyshp.]Search in Google Scholar
[35. Lemenkova P., 2011 ‒ Seagrass mapping and monitoring along the coasts of Crete, Greece, M.Sc. Thesis, University of Twente, Enschede, Netherlands, 158.]Search in Google Scholar
[36. Lemenkova P., Promper C. and Glade T., 2012 ‒ Economic assessment of landslide risk for the Waidhofen a.d. Ybbs Region, Alpine Foreland, Lower Austria, Protecting Society through Improved Understanding. 11th Symposium on Landslides and the 2nd North American Symposium on Landslides and Engineered Slopes, June 2-8, Banff, Canada, 279-285.]Search in Google Scholar
[37. Lemenkova P., 2014 ‒ Detection of vegetation coverage in urban agglomeration of Brussels by NDVI indicator using cognition software and remote sensing measurements, in GIS and remote sensing, November 17-19, 2014, Tsaghkadzor, Armenia, 112-119.]Search in Google Scholar
[38. Lemenkova P., 2015a ‒ Modelling landscape changes and detecting land cover types by the remote sensing data and ILWIS GIS, in Information Technologies, Problems and Solutions, 265-271.]Search in Google Scholar
[39. Lemenkova P., 2015b ‒ Analysis of Landsat NDVI time series for detecting degradation of vegetation, in Geoecology and Sustainable Use of Mineral Resources, From Science to Practice, Belgorod, Russia, 11-13.]Search in Google Scholar
[40. Lemenkova P., 2015c ‒ Technical approach of image segmentation in ENVI GIS to identify thematic clusters for visualization of urban transformations, Conference Proceedings Reality – the Sum of Information Technologies, December 14-15, 2015, Kursk, Russia, 100-104.]Search in Google Scholar
[41. Lemenkova P. 2019a ‒ K-means clustering in R libraries {cluster} and {factoextra} for grouping oceanographic data, International Journal of Informatics and Applied Mathematics, 2, 1, 1-26.]Search in Google Scholar
[42. Lemenkova P., 2019b ‒ Testing linear regressions by StatsModel Library of Python for oceanological data interpretation, Aquatic Sciences and Engineering, 34, 51–60.10.26650/ASE2019547010]Search in Google Scholar
[43. Lemenkova P., 2019c ‒ AWK and GNU octave programming languages integrated with generic mapping tools for geomorphological analysis, GeoScience Engineering, 65, 4, 1-22.10.35180/gse-2019-0020]Search in Google Scholar
[44. Lemenkova P., 2019d ‒ Statistical analysis of the Mariana Trench Geomorphology using R programming language, Geodesy and Cartography, 45, 2, 57-84.10.3846/gac.2019.3785]Search in Google Scholar
[45. Lemenkova P., 2020a ‒ GMT based comparative geomorphological analysis of the Vityaz and Vanuatu Trenches, Fiji Basin, Geodetski List, 74, 1, 19-39.]Search in Google Scholar
[46. Lemenkova P., 2020b ‒ Variations in the bathymetry and bottom morphology of the Izu-Bonin Trench modelled by GMT, Bulletin of Geography, Physical Geography Series, 18, 1, 41-60.10.2478/bgeo-2020-0004]Search in Google Scholar
[47. Lemenkova P., 2020c ‒ R Libraries{dendextend} and {magrittr} and clustering package scipy.cluster of Python for modelling diagrams of dendrogram trees, Carpathian Journal of Electronic and Computer Engineering, 13, 1, 5-12.10.2478/cjece-2020-0002]Search in Google Scholar
[48. McKinney W. 2010 ‒ Data structures for statistical computing in Python, Proceedings of the 9th Python in Science Conference, Austin, TX, USA, 28 June – 3 July 2010, 51-56.]Search in Google Scholar
[49. Ministry of Environment and Forestry, 1994 ‒ A compendium of official instruments on forest and wildlife management in Cameroon, MINEF, Yaoundé, Cameroon, 185.]Search in Google Scholar
[50. Ministry of the Environment and Protection of Nature, 2009 ‒ Cameroon fourth national report to the convention on biological diversity, MINEP, Yaoundé, Cameroon, 193.]Search in Google Scholar
[51. Muam C. A., 1999 ‒ Co-management of forest in Cameroon, The compatibility of government policies with indigenous practices, Published PhD thesis, University of Twente, 197.]Search in Google Scholar
[52. Ngo-Mbogba M., Yemefack M. and Nyeck B., 2015 ‒ Assessing soil quality under different land cover types within shifting agriculture in South Cameroon, Soil and Tillage Research, 150, 124-131.10.1016/j.still.2015.01.007]Search in Google Scholar
[53. Nawarathne W. R. M. D. P., Dissanayake S. P. and Ginigaddara, G. A. S. 2020 ‒ Community Perception on Sustainable Utilization of Kaduwela Wetland for Agriculture, Sri Lanka, Sri Lankan Journal of Agriculture and Ecosystems, 2, 1, 78-88.]Search in Google Scholar
[54. Nowakowski T., 2015 ‒ Arianespace successfully launches Europe’s Sentinel-2A Earth observation satellite, Spaceflight Insider.]Search in Google Scholar
[55. Price R., Kamp-Glass M., Powell D., 1992 ‒ Tissue culture of wetland endangered plant species, HortSience: a publication of the American Society for Horticultural Science, 27, 11, 1166c-1166.10.21273/HORTSCI.27.11.1166c]Search in Google Scholar
[56. Onana J. M., 2011 ‒ The vascular plants of Cameroon, A taxonomic check list with IUCN assessments, Flore du Cameroun 39, IRAD-National Herbarium of Cameroon, Yaounde, 195.]Search in Google Scholar
[57. Onana J. M., 2015 ‒ The World Flora online 2020 project, will Cameroon come up to the expectation, Rodriguesia, 66, 961-972.10.1590/2175-7860201566403]Search in Google Scholar
[58. Palmer J. F., 2004 ‒ Using spatial metrics to predict scenic perception in a changing landscape: Dennis, Massachusetts, Landscape and Urban Planning, 69, 201-218.10.1016/j.landurbplan.2003.08.010]Search in Google Scholar
[59. Perry C. Jr. and Lautenschlager L. F., 1984 ‒ Functional equivalence of spectral vegetation indices, Remote Sensing of Environment, 14, 1-3, 169-182.10.1016/0034-4257(84)90013-0]Search in Google Scholar
[60. Richardson A. J. and Wiegand C. L. 1977 ‒ Distinguishing vegetation from soil background information, Photogramnetric Engineering and Remote Sensing, 43, 12, 1541-1552.]Search in Google Scholar
[61. Rouse J. W, Haas R. H., Scheel J. A. and Deering D. W., 1 974 ‒ M onitoring vegetation systems in the Great Plains with ERTS, Proceedings, 3rd Earth Resource Technology Satellite (ERTS) Symposium, 1, 48-62.]Search in Google Scholar
[62. Sainge N. M., 2016 ‒ Patterns of distribution and endemism of plants in the Cameroon Mountains: a case study of protected areas in Cameroon: Rumpi Hills Forest Reserve (RHFR) and the Kimbi Fungom National Park (KFNP), Tropical Plant Exploration Group (TroPEG) Cameroon, 171.]Search in Google Scholar
[63. Shang R. and Zhu Z., 2019 ‒ Harmonizing Landsat 8 and Sentinel-2: a time-series-based reflectance adjustment approach, Remote Sensing of Environment, 235, 111439.10.1016/j.rse.2019.111439]Search in Google Scholar
[64. Seiny-Boukar L., Floret C., Moukouri K. H. and Pontanier R., 1992 ‒ Degradation of savanna soils and reduction of water available for the vegetation: the case of northern Cameroon vertisols, Canadian Journal of Soil Science, 72, 481-488.10.4141/cjss92-040]Search in Google Scholar
[65. Silatsa F. B. T., Yemefack M., Tabi F. O., Heuvelink G. B. M. and Leenaars J. G. B., 2020 ‒ Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon, Geoderma, 367, 114260.10.1016/j.geoderma.2020.114260]Search in Google Scholar
[66. Schenke H. W. and Lemenkova P., 2008 ‒ Zur Frage der Meeresboden-Kartographie: Die Nutzung von AutoTrace Digitizer für die Vektorisierung der Bathymetrischen Daten in der Petschora-See, Hydrographische Nachrichten, 81, 16-21.]Search in Google Scholar
[67. Schneider-Binder, 2020 ‒ Riparian vegetation along the Scroafa Stream and its tributaries (Southern Transylvania) under changing ecological conditions and human intervention, Transylvanian Review of Systematical and Ecological Research – The Wetlands Diversity, 22.2, 31-46.10.2478/trser-2020-0009]Search in Google Scholar
[68. Suetova I. A., Ushakova L. A. and Lemenkova P., 2005a – Geoinformation mapping of the Barents and Pechora Seas, Geography and Natural Resources, 4, 138-142.]Search in Google Scholar
[69. Suetova I. A., Ushakova L. A. and Lemenkova P., 2005b – Geoecological mapping of the Barents Sea using GIS, in International Cartographic Conference, La Coruna Spain, 5.]Search in Google Scholar
[70. Takem-Mbi B. M., 2013 ‒ Assessing forest cover change in the Bafut-Ngemba Forest Reserve (BNFR), North West Region of Cameroon using remote sensing and GIS, International Journal of Agricultural Policy and Research, 1, 7, 180-187.]Search in Google Scholar
[71. Testa S., Soudani K., Boschetti L. and Borgogno Mondino E., 2018 ‒ MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests, International Journal of Applied Earth Observation 64, 132-144.10.1016/j.jag.2017.08.006]Search in Google Scholar
[72. Thiam A. K., 1997 ‒ Geographic Information Systems and Remote Sensing, methods for assessing and monitoring land degradation in the Sahel: the case of Southern Mauritania, Ph.D. Thesis, Clark University, Worcester Massachusetts, 490.]Search in Google Scholar
[73. Traganos D., Poursanidis D., Aggarwal B., Chrysoulakis N. and Reinartz P., 2018 ‒ Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth and Sentinel-2, Remote Sensing, 10, 6, 859.10.3390/rs10060859]Search in Google Scholar
[74. Tsozue D., Nghonda J. P. and Mekem D. L., 2015 ‒ Impact of land management system on crop yields and soil fertility in Cameroon, Solid Earth, 6, 1087-1101.10.5194/se-6-1087-2015]Search in Google Scholar
[75. Xu H., 2006 ‒ Modification of normalised difference water index to enhance open water features in remotely sensed imagery, International Journal of Remote Sensing, 27, 3025-3033.10.1080/01431160600589179]Search in Google Scholar
[76. Wanzie C. S., 2003 ‒ Wetland conservation and development in the Sahel of Cameroon, in Jamin J. Y., Seiny Boukar L. and Floret C. (eds), Savanes africaines: des espaces en mutation, des acteurs face à de nouveaux défis, Actes du colloque, mai 2002, Garoua, Cameroun, Prasac, N’Djamena, Tchad – Cirad, Montpellier, France, 6.]Search in Google Scholar