Abstract
Quantitative assessment of aboveground woody biomass in terms of volume, fresh and dry weight per unit area is a useful way to provide estimates of various tree components that can be harvested. This is more relevant to Botswana forests and woodlands since 53 % of the population depends on wood resources for energy purposes in the form of fuel wood. However, the approaches used to quantify the resources can be laborious and time consuming and hence costly. Data on aboveground woody biomass in Botswana is unreliable and scanty. In this research two biomass estimation methods: model stem and sub-sampling were compared in terms of time use efficiency and reliability. It was found that model stem method was very efficient in time usage but not it was reliable. However, sub-sampling method, which was also efficient in terms of time usage in the field, found to be reliable and a better than stem model. Sub-sampling method provides on the field estimates of wood volume and fresh weight. A few light weight equipment is required for the application of this method and field work can be carried out by only two people. Tree species
sampled were Terminalia sericea, Dichrostachys cinerea, Ochna pulchra, Burkea Africana, Lonchocarpus nelsii, Boscia albitrunca and Acacia fleckii. Data were collected from 169 sampling plots in the field. Next, the potential of satellite based remote sensing techniques combined with biomass estimation method for quantitative assessment of aboveground woody biomass in Serowe savannah woodlands, Botswana was investigated. An IKONOS high spatial resolution satellite image of February, 2002 was used to derive spectral vegetation indices namely: Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI) and Perpendicular Vegetation Index (PVI). Data from vegetation indices maps were correlated with above ground biomass field data.
sampled were Terminalia sericea, Dichrostachys cinerea, Ochna pulchra, Burkea Africana, Lonchocarpus nelsii, Boscia albitrunca and Acacia fleckii. Data were collected from 169 sampling plots in the field. Next, the potential of satellite based remote sensing techniques combined with biomass estimation method for quantitative assessment of aboveground woody biomass in Serowe savannah woodlands, Botswana was investigated. An IKONOS high spatial resolution satellite image of February, 2002 was used to derive spectral vegetation indices namely: Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI) and Perpendicular Vegetation Index (PVI). Data from vegetation indices maps were correlated with above ground biomass field data.
Original language | English |
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Title of host publication | AARSE 2006 |
Subtitle of host publication | Proceeding of the 6th AARSE international conference on earth observation and geoinformation sciences in support of Africa's development, 30 October - 2 November 2006, Cairo, Egypt |
Place of Publication | Cairo, Egypt |
Publisher | National Authority for Remote Sensing and Space Science (NARSS) |
Number of pages | 9 |
ISBN (Print) | 1-920-01710-0 |
Publication status | Published - 2006 |
Event | 6th African Association of Remote Sensing of the Environment (AARSE) Conference 2006: Earth Observation & Geoinformation Sciences in Support of Africa’s Development - Cairo, Egypt Duration: 30 Oct 2006 → 2 Nov 2006 Conference number: 6 |
Conference
Conference | 6th African Association of Remote Sensing of the Environment (AARSE) Conference 2006 |
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Country/Territory | Egypt |
City | Cairo |
Period | 30/10/06 → 2/11/06 |
Keywords
- WRS
- NRS
- ADLIB-ART-1358