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摘要:
Above Ground Biomass is one of the six pools identified in the inventory of forest resources and estimation of greenhouse gas emissions and sinks from the forestry sector. The pool varies by management practices in different agro-ecological or agro-climatic zones in forests. The quantification of above ground biomass (AGB) hence carbon sequestration in forests has been very difficult due to the immense costs required. This research was done to estimate AGB using ALOS PALSAR L band data (HH, HV polarisation) acquired in 2009 in relation with ground measurements data in Kericho and Aberdares ranges in Kenya. Tree data information was obtained from ground measurement of DBH and tree heights in 100 circular plots of 15 m radius, by use of random sampling technique. ALOS PALSAR image is advantageous for its active microwave sensor using L-band frequency to achieve cloud free imageries, and the ability of long wavelength cross-polarization to estimate AGB accurately for tropical forests. The variations result between Natural and plantation forest for measured and estimated biomass in Kericho HV band regression value was 0.880 and HH band was 0.520. In Aberdare ranges HV regression value of 0.708 and HH band regression value of 0.511 for measured and estimated biomass respectively. The variations can be explained by the influence of different management regimes induced human disturbances, forest stand age, density, species composition, and trees diameter distribution. However, further research is required to investigate how strong these factors affect relationship between AGB and Alos Palsar backscatters.
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篇名 Estimation of Above Ground Biomass in Forests Using Alos Palsar Data in Kericho and Aberdare Ranges
来源期刊 林学期刊(英文) 学科 医学
关键词 Above Ground Biomass ESTIMATION Green House Gas Carbon Credits ALOS PALSAR Backscatter CROSS-POLARIZATION Regression Analysis
年,卷(期) 2017,(2) 所属期刊栏目
研究方向 页码范围 79-96
页数 18页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
Above
Ground
Biomass
ESTIMATION
Green
House
Gas
Carbon
Credits
ALOS
PALSAR
Backscatter
CROSS-POLARIZATION
Regression
Analysis
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
林学期刊(英文)
季刊
2163-0429
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
314
总下载数(次)
0
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