As part of integrated approach to aboveground biomass analysis (ABA), forest inventory data and landsat 8 remotely sensed data were used to investigate biomass accumulation of Tectona grandis and Gmelina arborea hereafter referred to as teak and gmelina respectively in oluwa forest. Six (6) vegetation indices, including simple ratio (SR), enhanced vegetation index (EVI), normalized Difference vegetation index (NDVI), normalized difference water index (NDWI), specific leaf area vegetation index (SLAVI) and generalized difference vegetation index (GDVI) were calculated from landsat 8 data. Biomass/carbon storage potential of gmelina of 11 and 15 years are 136.21 t/ha and 184.59 t ha-1 respectively, while for teak of 15 and 20 years, 277.11 t/ha and 183.98 t/ha were stored respectively. The relationship between aboveground biomass, vegetation indices and spectral bands responses were modelled using stepwise regression. Two models were generated including spectral response of band 8 (panchromatic band) with an adjusted R2 of 0.336, and combination of band 7 and band 8 (model 2) with an R2 of 0.678 were obtained.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As part of integrated approach to aboveground biomass analysis (ABA), forest inventory data and landsat 8 remotely sensed data were used to investigate biomass accumulation of Tectona grandis and Gmelina arborea hereafter referred to as teak and gmelina respectively in oluwa forest. Six (6) vegetation indices, including simple ratio (SR), enhanced vegetation index (EVI), normalized Difference vegetation index (NDVI), normalized difference water index (NDWI), specific leaf area vegetation index (SLAVI) and generalized difference vegetation index (GDVI) were calculated from landsat 8 data. Biomass/carbon storage potential of gmelina of 11 and 15 years are 136.21 t/ha and 184.59 t ha-1 respectively, while for teak of 15 and 20 years, 277.11 t/ha and 183.98 t/ha were stored respectively. The relationship between aboveground biomass, vegetation indices and spectral bands responses were modelled using stepwise regression. Two models were generated including spectral response of band 8 (panchromatic band) with an adjusted R2 of 0.336, and combination of band 7 and band 8 (model 2) with an R2 of 0.678 were obtained. 96 pp. Englisch. Seller Inventory # 9786200006936
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As part of integrated approach to aboveground biomass analysis (ABA), forest inventory data and landsat 8 remotely sensed data were used to investigate biomass accumulation of Tectona grandis and Gmelina arborea hereafter referred to as teak and gmelina respectively in oluwa forest. Six (6) vegetation indices, including simple ratio (SR), enhanced vegetation index (EVI), normalized Difference vegetation index (NDVI), normalized difference water index (NDWI), specific leaf area vegetation index (SLAVI) and generalized difference vegetation index (GDVI) were calculated from landsat 8 data. Biomass/carbon storage potential of gmelina of 11 and 15 years are 136.21 t/ha and 184.59 t ha-1 respectively, while for teak of 15 and 20 years, 277.11 t/ha and 183.98 t/ha were stored respectively. The relationship between aboveground biomass, vegetation indices and spectral bands responses were modelled using stepwise regression. Two models were generated including spectral response of band 8 (panchromatic band) with an adjusted R2 of 0.336, and combination of band 7 and band 8 (model 2) with an R2 of 0.678 were obtained. Seller Inventory # 9786200006936
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Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Omoniyi Temitope O.Temitope Olaoluwa Omoniyi, is a professional forester and a Geospatial analyst. He holds a Bachelor degree in Forestry and wood Technology and a Masters Degree in Geoinformation Technology. He is currently a PhD st. Seller Inventory # 289578911
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Seller: dsmbooks, Liverpool, United Kingdom
paperback. Condition: New. New. book. Seller Inventory # D8S0-3-M-6200006938-6
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