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Biomass Accumulation Potential of Exotic Tree Species in Nigeria - Softcover

 
9786200006936: Biomass Accumulation Potential of Exotic Tree Species in Nigeria

Synopsis

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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  • PublisherLAP LAMBERT Academic Publishing
  • Publication date2019
  • ISBN 10 6200006938
  • ISBN 13 9786200006936
  • BindingPaperback
  • LanguageEnglish
  • Number of pages96

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Temitope O. Omoniyi
ISBN 10: 6200006938 ISBN 13: 9786200006936
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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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Temitope O. Omoniyi
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200006938 ISBN 13: 9786200006936
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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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Temitope O. Omoniyi|Joseph O. Akinyede|Raphael O. Oyinloye
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200006938 ISBN 13: 9786200006936
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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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Omoniyi, Temitope O., Akinyede, Joseph O., Oyinloye, Raphael
Published by LAP LAMBERT Academic Publishing, 2019
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