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dc.contributor.authorKinyanjui, Mwangi James
dc.contributor.authorOdera, Patroba Achola
dc.contributor.authorMaina, Eunice Wamuyu
dc.date.accessioned2018-09-05T12:53:17Z
dc.date.available2018-09-05T12:53:17Z
dc.date.issued2017
dc.identifier.citationOpen Journal of Forestry, 2017, 7, 79-96en_US
dc.identifier.issn2163-0437
dc.identifier.issn2163-0429
dc.identifier.urihttps://karuspace.karu.ac.ke/handle/20.500.12092/2142
dc.descriptionDOI: 10.4236/ojf.2017.72006en_US
dc.description.abstractAbove 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 tro- pical 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.en_US
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectAbove Ground Biomass Estimationen_US
dc.subjectGreen House Gasen_US
dc.subjectCarbon Creditsen_US
dc.subjectAlosen_US
dc.titleEstimation of Above Ground Biomass in Forests Using Alos Palsar Data in Kericho and Aberdare Rangesen_US
dc.typeArticleen_US


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