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ArticleThe use of Normalized Difference Vegetation Index (NDVI) to assess urban forests dynamics in West Africa: A case study of Mbao Classified Forest, Dakar (Senegal)
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Mbao Classified Forest is the largest urban forest in Dakar. It covers an area of 720 hectares and is the most important green lung of the city. This forest plays a key role in terms of carbon storage and sequestration, air pollution removal, and more generally in ecosystem services provision. Hence it is urgent to monitor the dynamic of this forest over the past twenty years (1998-2018) because a lot of infrastructures including a water pumping station and a highway were established inside during this period. These installations make it subject to encroachments and the risk of depletion that could compromise its existence. The aim of this this paper is to assess urban forest dynamics using artificial intelligence and vegetation indices. To achieve this goal the first step is to perform a forest inventory. We opted for a sampling rate of 0.5%. The area of a plot in the i-Tree Eco inventory is 391 m2 with a radius of 11.16 m, which resulted in a total number of 90 plots. The variables measured for each tree are D.B.H, total height, crown width. The allometric equations were used to compute the above-ground biomass. The NDVI of every plot was computed from Landsat datasets followed by the development of a linear regression model with NDVI as the independent variable and biomass as the dependent variable. Landsat imagery enables the NDVI computation of each plot during the twenty past years and using the regression model, the biomass was determined over this period. Our results provide a sound basis to advocate the safeguarding of Mbao Classified Forest. Keywords: Urban forest, biomass, NDVI, inventory. ID: 3621874 -
ArticleIntegration of InVEST-Habitat quality with landscape pattern indexes: A case study of Mondulkiri province in Cambodia
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Many attempts have been carried out to halt the biodiversity loss and deforestation, both from the management and policy side. The development of RS, GIS, satellite tracking and ecological model, quantification and visualization of the regional biodiversity evaluation at spatial scale and time scale was widely used. Landscape biodiversity was the premise foundation for identifying key biodiversity protection areas at geographical scale. Empirical studies had been conducted for biodiversity evaluation and spatial pattern based on InVEST model. Cambodia is of global conservation importance which still contain nearly intact species assemblages. The purpose of this study is to look at the spatial and temporal changes in land use and to derive patches with high habitat quality by tracking changes in habitat quality according to the characteristics of landscape metrics and changes in Mondulkiri province in Cambodia. (1) Observation of land use change patterns (2) Examine major landscape change factors, and examine the extent to which landscape patches contribute to securing habitat quality. Hoping the results could be used to support spatial planning and protection of biodiversity, especially for the fragile mountainous area. Mondulkiri has undergone a relatively strong process of land-use change. the most notable characteristic was a transformation from forest land into cropland or plantation during the 30 years. Landscape proportion reduced from 0.59 to 0.52, indicating that as the proportion of forest area patches decreased. Number of patches increased from 394 to 725 which means landscape patches become more fragmented and similarly patch density slightly increased. The northern and eastern parts of the Mondulkiri are dense crop areas with a high proportion while the southern regions have a large number of plantation land. The results could be used to support spatial planning and protection of biodiversity, especially for the fragile mountainous area. Keywords: Adaptive and integrated management, Biodiversity conservation, Deforestation and forest degradation, Sustainable forest management, Landscape management ID: 3622047 -
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