Estimating growing stock volume in a Bangladesh forest site using Landsat TM and field-measured data

Estimating growing stock volume in a Bangladesh forest site using Landsat TM and field-measured data

Estimation of forest Growing Stock (GS) is important in understanding the ecological dynamics and productive capacity of forests. Instead of the traditional cost-effective and time consuming ground based measurements, satellite images are being increasingly used in estimating many forest parameters...

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Veröffentlicht in:International journal of geomatics and geosciences 2015, Vol.6 (2), p.1607-1619
Hauptverfasser: Redowan, Mohammad, Akter, Romana, Islam, Mirajul, Masum, Kazi Mohammad, Chowdhury, Mohammad Shaheed Hossain
Format: Artikel
Sprache:eng
Schlagworte:
Growing stock
Landat TM
NDVI
regression
Vegetation Indices
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Zusammenfassung:Estimation of forest Growing Stock (GS) is important in understanding the ecological dynamics and productive capacity of forests. Instead of the traditional cost-effective and time consuming ground based measurements, satellite images are being increasingly used in estimating many forest parameters including GS. This study estimates forest GS at Khadimnagar national park, Sylhet, Bangladesh using regression relationship of vegetation indices (VIs) of Landsat Thematic Mapper (TM) image with field-measured GS. Among the VIs, NDVI (Normalized Difference Vegetation Index) was found to be the best predictor of forest GS with workable accuracy (r2= 0.77, P
ISSN:0976-4380