This book uses Remote Sensing and GIS techniques to estimate changes in land-use particularly vegetated areas and sequestered carbon in the Tarkwa Mining Area (TMA). Temporal satellite images for four different years and 250 ground reference points were classified using maximum likelihood algorithm. Aboveground forest biomass/carbon stock and its changes in the TMA were also estimated from three nested-circular plots of horizontal radii 12.62 m, 8 m and 4 m using stratified random sampling from 60 locations in 5 dominant land-use types. The impact of mining on vegetation composition was also estimated using distant gradient. Phytosociological analysis was also carried out to determine species density, dominance index and diversity index. The book concludes that, the rate of change in the various land-use types in the TMA is disturbing and if the current trend of development continues, there could be an imbalance in the ecosystem of the TMA. The TMA model should help shed some light on this new and exciting way of estimating sequestered carbon and vegetation changes, and should be especially useful to students, academics and researchers in Ecology and Geomatics.
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This book uses Remote Sensing and GIS techniques to estimate changes in land-use particularly vegetated areas and sequestered carbon in the Tarkwa Mining Area (TMA). Temporal satellite images for four different years and 250 ground reference points were classified using maximum likelihood algorithm. Aboveground forest biomass/carbon stock and its changes in the TMA were also estimated from three nested-circular plots of horizontal radii 12.62 m, 8 m and 4 m using stratified random sampling from 60 locations in 5 dominant land-use types. The impact of mining on vegetation composition was also estimated using distant gradient. Phytosociological analysis was also carried out to determine species density, dominance index and diversity index. The book concludes that, the rate of change in the various land-use types in the TMA is disturbing and if the current trend of development continues, there could be an imbalance in the ecosystem of the TMA. The TMA model should help shed some light on this new and exciting way of estimating sequestered carbon and vegetation changes, and should be especially useful to students, academics and researchers in Ecology and Geomatics.
Dr Bernard Kumi-Boateng is a Senior Lecturer by rank at the University of Mines and Technology(UMaT), Tarkwa, Ghana and currently the Vice Dean of International Programmes. Prof Daniel Mireku-Gyimah studied at the Moscow Mining Institute, Moscow and the imperial College of Science and Technology. He is the foundation Vice Chancellor of UMaT.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumi-Boateng BernardDr Bernard Kumi-Boateng is a Senior Lecturer by rank at the University of Mines and Technology(UMaT), Tarkwa, Ghana and currently the Vice Dean of International Programmes. Prof Daniel Mireku-Gyimah studied at the. Bestandsnummer des Verkäufers 151397969
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Taschenbuch. Zustand: Neu. Neuware -This book uses Remote Sensing and GIS techniques to estimate changes in land-use particularly vegetated areas and sequestered carbon in the Tarkwa Mining Area (TMA). Temporal satellite images for four different years and 250 ground reference points were classified using maximum likelihood algorithm. Aboveground forest biomass/carbon stock and its changes in the TMA were also estimated from three nested-circular plots of horizontal radii 12.62 m, 8 m and 4 m using stratified random sampling from 60 locations in 5 dominant land-use types. The impact of mining on vegetation composition was also estimated using distant gradient. Phytosociological analysis was also carried out to determine species density, dominance index and diversity index. The book concludes that, the rate of change in the various land-use types in the TMA is disturbing and if the current trend of development continues, there could be an imbalance in the ecosystem of the TMA. The TMA model should help shed some light on this new and exciting way of estimating sequestered carbon and vegetation changes, and should be especially useful to students, academics and researchers in Ecology and Geomatics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. Bestandsnummer des Verkäufers 9783639708523
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book uses Remote Sensing and GIS techniques to estimate changes in land-use particularly vegetated areas and sequestered carbon in the Tarkwa Mining Area (TMA). Temporal satellite images for four different years and 250 ground reference points were classified using maximum likelihood algorithm. Aboveground forest biomass/carbon stock and its changes in the TMA were also estimated from three nested-circular plots of horizontal radii 12.62 m, 8 m and 4 m using stratified random sampling from 60 locations in 5 dominant land-use types. The impact of mining on vegetation composition was also estimated using distant gradient. Phytosociological analysis was also carried out to determine species density, dominance index and diversity index. The book concludes that, the rate of change in the various land-use types in the TMA is disturbing and if the current trend of development continues, there could be an imbalance in the ecosystem of the TMA. The TMA model should help shed some light on this new and exciting way of estimating sequestered carbon and vegetation changes, and should be especially useful to students, academics and researchers in Ecology and Geomatics. 180 pp. Englisch. Bestandsnummer des Verkäufers 9783639708523
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book uses Remote Sensing and GIS techniques to estimate changes in land-use particularly vegetated areas and sequestered carbon in the Tarkwa Mining Area (TMA). Temporal satellite images for four different years and 250 ground reference points were classified using maximum likelihood algorithm. Aboveground forest biomass/carbon stock and its changes in the TMA were also estimated from three nested-circular plots of horizontal radii 12.62 m, 8 m and 4 m using stratified random sampling from 60 locations in 5 dominant land-use types. The impact of mining on vegetation composition was also estimated using distant gradient. Phytosociological analysis was also carried out to determine species density, dominance index and diversity index. The book concludes that, the rate of change in the various land-use types in the TMA is disturbing and if the current trend of development continues, there could be an imbalance in the ecosystem of the TMA. The TMA model should help shed some light on this new and exciting way of estimating sequestered carbon and vegetation changes, and should be especially useful to students, academics and researchers in Ecology and Geomatics. Bestandsnummer des Verkäufers 9783639708523
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