Report for the German Agency for Technical Cooperation (GTZ) - UMS
Report for the German Agency for Technical Cooperation (GTZ) - UMS
Report for the German Agency for Technical Cooperation (GTZ) - UMS
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Yuliani, Linda<br />
• Developing simple tool(s) (e.g. <strong>for</strong>mula) that can be used by local stakeholders (local<br />
communities, local government) to estimate carbon stocks in <strong>the</strong>ir <strong>for</strong>est, and at <strong>the</strong> same<br />
time acceptable by <strong>the</strong> carbon buyers. The tools should simple and easy to use, so that<br />
<strong>the</strong> local stakeholders can estimate and monitor <strong>the</strong> carbon stocks by <strong>the</strong>mselves, and<br />
enter <strong>the</strong> carbon market with very minimum roles of brokers.<br />
• In my idea, we can perhaps develop <strong>for</strong>mula/tools to estimate carbon stocks in different<br />
<strong>for</strong>est ecosystem types in Borneo. So in your proposal, you could probably put that in <strong>the</strong><br />
initial stage, we need to conduct a workshop to get an agreed <strong>for</strong>est ecosystem types we<br />
want to refer, and <strong>the</strong>n develop <strong>for</strong>mula <strong>for</strong> each type.<br />
• The methods to develop <strong>the</strong> <strong>for</strong>mula is open <strong>for</strong> discussion, but need to be field tested.<br />
• Developing legal and institutional mechanisms to ensure that benefits from carbon market<br />
are distributed equally <strong>for</strong> long term benefits of <strong>the</strong> local communities (note: I put equally<br />
and long term in bold to emphasize <strong>the</strong> importance). Long term benefits is important to<br />
avoid short term benefits that could create dependency of local communities to external<br />
assistance (thus, reduce social resilience).<br />
Gen Takao<br />
• Regarding RS, cost-per<strong>for</strong>mance comparisons among sensors/methods would be useful.<br />
The cost should include that of field works <strong>for</strong> models and <strong>for</strong> evaluation. Documenting <strong>the</strong><br />
procedure of designing <strong>the</strong> monitoring would be as important as publishing <strong>the</strong> resultant<br />
data/models so as to disseminate <strong>the</strong> results to <strong>the</strong> outside of <strong>the</strong> pilot fields.<br />
10.3.2. SITF<br />
Mui-How Phua<br />
Biomass Borneo/Research topics<br />
1. Multitemporal vegetation change in Sabah & Sarawak<br />
-Supervised classification and/ or spectral change detection approach<br />
-Landsat data, freely distributed since 2008, as <strong>the</strong> main satellite data. MODIS data<br />
(500m/1km resolution) may be considered if Landsat data over <strong>the</strong> whole Borneo is not<br />
available.<br />
2. Estimation of vegetation biomass using satellite remote sensing (Sabah).<br />
-Process satellite data and analyze against field survey data (primary & secondary data) on<br />
selected <strong>for</strong>est ecosystem.<br />
-Collaborate with Hamburg Univ. This provide crude estimate of biomass to be improved by<br />
GIS modeling.<br />
Normah Awang Besar<br />
Carbon sink in soil<br />
Study location: Sabah and Sarawak<br />
Methodology<br />
Soil sampling and analysis<br />
Soil will be sampling randomly at 0-30 cm depth. Several profile will be describe to<br />
representative <strong>the</strong> soil in <strong>the</strong> study area.<br />
Mixed soil will be sampled randomly at 0-5cm, 5-10cm and 10-30 cm depth. Three replicate<br />
each depth..Soil samples will air dry and passed through a 2mm sieve to separate <strong>the</strong> fine<br />
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