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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53470#.VMX5ZizQrzE
Author(s)
Mwangi James Kinyanjui1,2*, Ngugi John Kigomo3, Kamau Miriam Wambui1,4, Nderitu Joel Kariuki1,4, Nyanjui Charles1,4, Nganga John Macharia1,4, Ojijo William Odidi1,4, Ashiono Fredrick1,4, Owate Augustine Omamo1,4, Ndirangu Monicah Katumbi1,4
Affiliation(s)
1Department of Forestry, School of Natural Resources and Environmental Studies, Karatina University, Karatina, Kenya.
2Department of Resource Surveys and Remote Sensing, Nairobi, Kenya.
3Kenya Forest Research Institute, Nairobi, Kenya.
4Kenya Forest Service, Nairobi, Kenya.
2Department of Resource Surveys and Remote Sensing, Nairobi, Kenya.
3Kenya Forest Research Institute, Nairobi, Kenya.
4Kenya Forest Service, Nairobi, Kenya.
ABSTRACT
This
study was designed to use LiDAR data to research tree heights in
montane forest blocks of Kenya. It uses a completely randomised block
design to asses if differences exist in forest heights: 1) among montane
forest blocks, 2) among Agro ecological zones (AEZ) within each forest
block and 3) between similar AEZ in different forest blocks. Forest
height data from the Geoscience Laser Altimeter System (GLAS) on the Ice
Cloud and Land Elevation Satellite (ICE-SAT) for the period 2003-2009
was used for 2146 circular plots, of 0.2 - 0.25 ha in size. Results
indicate that, tree height is largely influenced by Agro ecological
conditions and the wetter zones have taller trees in the upper, middle
and lower highlands. In the upper highland zones of limited human
activity, tree heights did not vary among forest blocks. Variations in
height among forest blocks and within forest blocks were exaggerated in
regions of active human intervention.
Cite this paper
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Tree Heights among Montane Forest Blocks of Kenya Using LiDAR Data from
GLAS. Open Journal of Forestry, 5, 80-89. doi: 10.4236/ojf.2015.51009.
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