Linking ground forest inventory and NDVI in mapping above ground carbon stock in kasane forest reserve, Botswana
2018
Basalumi, Lesika | Kilawe, Charles Joseph | Mauya, Ernest William
Journal Article
显示更多 [+] 显示较少 [-]Quantification of the above ground carbon stock (AGC) is important in sus- tainable forest management and policy advice on climate change mitigation. Traditional ground vegetation survey methods have been used to provide data for estimation of AGC stock but constrained by inadequate time and often too costly. Remote sensing when combined with few ground collected data has the potential of improving forest resource assessment even though this opportu- nity has not well been utilised. In this study, we mapped AGC through com- bination of ground survey data collected from 51 permanent sapling plots with Normalized Difference Vegetation Index (NDVI) derived from Landsat 5 Thematic Mapper image. Linkage of the two data sources was made during a training stage of supervised classification. The overall classification accuracy was 98%, suggesting that reliable estimate of AGC for a large area can be made through combination of medium resolution satellite imagery and few samples from the ground.
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