Wang, X. Y., Huang, H. B., Gong, P., Liu, C. X., Li, C. C., & Li, W. Y. (2014). Forest Canopy Height Extraction in Rugged Areas with ICESat/GLAS Data. IEEE Transactions on Geoscience and Remote Sensing, 52.

has been cited by the following article:

• TITLE: Comparing Tree Heights among Montane Forest Blocks of Kenya Using LiDAR Data from GLAS

  AUTHORS: Mwangi James Kinyanjui, Ngugi John Kigomo, Kamau Miriam Wambui, Nderitu Joel Kariuki, Nyanjui Charles, Nganga John Macharia, Ojijo William Odidi, Ashiono Fredrick, Owate Augustine Omamo, Ndirangu Monicah Katumbi

  KEYWORDS: Montane Forests, Tree Height, Agro Ecological Zones

  JOURNAL NAME: Open Journal of Forestry, Vol.5 No.1, January 23, 2015

  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.