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Proceedings

Quantifying Tree Cover Loss in Urban Forests within Nairobi City Metropolitan Area from Earth Observation Data

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School of Surveying and Geospatial Sciences, Department of Geo-Information and Earth Observation, Technical University of Kenya, P.O. Box 52428-00200, Nairobi, Kenya
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Centre for Integrated Water Resource Management, Hydrology and Earth Information Lab, Technical University of Kenya, P.O. Box 52428-00200, Nairobi, Kenya
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GeoPsy Multidisciplinary Research, P.O. Box 101011-00101, Nairobi, Kenya
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Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Forests, 15–30 November 2020; Available online: https://sciforum.net/conference/IECF2020.
Environ. Sci. Proc. 2021, 3(1), 78; https://doi.org/10.3390/IECF2020-07952
Published: 12 November 2020
Urban forests contribute significantly to the ecological integrity of urban areas and the quality of life of urban dwellers through air quality control, energy conservation, improving urban hydrology, and regulation of land surface temperatures (LST). However, urban forests are under threat due to human activities, natural calamities, and bioinvasion continually decimating forest cover. Few studies have used fine-scaled Earth observation data to understand the dynamics of tree cover loss in urban forests and the sustainability of such forests in the face of increasing urban population. The aim of this work was to quantify the spatial and temporal changes in urban forest characteristics and to assess the potential drivers of such changes. We used data on tree cover, normalized difference vegetation index (NDVI), and land cover change to quantify tree cover loss and changes in vegetation health in urban forests within the Nairobi metropolitan area in Kenya. We also used land cover data to visualize the potential link between tree cover loss and changes in land use characteristics. From approximately 6600 hectares (ha) of forest land, 720 ha have been lost between 2000 and 2019, representing about 11% loss in 20 years. In six of the urban forests, the trend of loss was positive, indicating a continuing disturbance of urban forests around Nairobi. Conversely, there was a negative trend in the annual mean NDVI values for each of the forests, indicating a potential deterioration of the vegetation health in the forests. A preliminary, visual inspection of high-resolution imagery in sample areas of tree cover loss showed that the main drivers of loss are the conversion of forest lands to residential areas and farmlands, implementation of big infrastructure projects that pass through the forests, and extraction of timber and other resources to support urban developments. The outcome of this study reveals the value of Earth observation data in monitoring urban forest resources.
Keywords: urban forests dynamics; remote sensing of forests; forest sustainability; tree cover loss; Kenya urban forests dynamics; remote sensing of forests; forest sustainability; tree cover loss; Kenya
MDPI and ACS Style

Oloo, F.; Murithi, G.; Jepkosgei, C. Quantifying Tree Cover Loss in Urban Forests within Nairobi City Metropolitan Area from Earth Observation Data. Environ. Sci. Proc. 2021, 3, 78. https://doi.org/10.3390/IECF2020-07952

AMA Style

Oloo F, Murithi G, Jepkosgei C. Quantifying Tree Cover Loss in Urban Forests within Nairobi City Metropolitan Area from Earth Observation Data. Environmental Sciences Proceedings. 2021; 3(1):78. https://doi.org/10.3390/IECF2020-07952

Chicago/Turabian Style

Oloo, Francis; Murithi, Godwin; Jepkosgei, Charlynne. 2021. "Quantifying Tree Cover Loss in Urban Forests within Nairobi City Metropolitan Area from Earth Observation Data" Environ. Sci. Proc. 3, no. 1: 78. https://doi.org/10.3390/IECF2020-07952

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