Affiliation:
1. Russian Academy of Sciences, Schmidt Institute of Physics of the Earth , Laboratory of Regional Geophysics and Natural Disasters , Bolshaya Gruzinskaya Street, 303, 10, 1 , Moscow , Russian Federation , RU-123995
Abstract
Abstract
Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecological monitoring of Yaoundé requires visualization of vegetation types in context of climate change. Vegetation Indices (VIs) derived from Sentinel-2 multispectral satellite image were analyzed in SAGA GIS to separate wetland biomes, as well as savannah and tropical rainforests. The methodology includes computing 6 VIs: NDVI, DVI, SAVI, RVI, TTVI, CTVI. The VIs shown correlation of data with vegetation distribution rising from wetlands, grassland, savanna, and shrub land towards tropical rainforests, increasing values along with canopy greenness, while also being inversely proportional to soils, urban spaces and Sanaga River. The study contributed to the environmental studies of Cameroon and demonstration of the satellite image processing.
Reference76 articles.
1. 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.
2. 2. Asangwe C. K., 2006 – The Douala Coastal Lagoon Complex, Cameroon, Environmental Issues, in Administering Marine Spaces: International Issues, Denmark, 20.
3. 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.
4. 4. Asomani-Boateng R., 2019 ‒ Urban wetland planning and management in Ghana: a disappointing implementation, Wetlands, 39, 251-261.
5. 5. Bannari A., Morin D., Bonn F. and Huete A., 1995 – A review of vegetation indices, Remote Sensing Reviews, 13, 95-120.
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献