文章基本信息

标题：Estimation of Above Ground Forest Biomass and Carbon Stock by Integrating Lidar, Satellite Image and Field Measurement in Nepal
本地全文：下载
作者：Pem Narayan Kandel
期刊名称：Journal of Natural History Museum
出版年度：2015
卷号：28
页码：160-170
语种：English
出版社：Natural History Museum
摘要：For the first time in South Asia, the model-based Lidar Assisted Multisource Program (LAMP) was tested in 23500 km 2 TAL area of Nepal by integrating 5% LiDAR sampling, wall-to-wall Rapid Eye satellite image and a representative field inventory to estimate Above Ground Biomass (AGB) and carbon stock. The average 1.26/m2LiDAR point density recorded by the scanner was used to measure canopy height and build a model using LiDAR variables and model coefficients. The developed LAMP model successfully estimated the AGB of the study area. The research tells that the study area comprises almost 50% forest cover with an average 211.63 t/ha AGB.Standing carbon stock was converted from AGB by multiplying the 0.47 which is default carbon fraction. Average standing carbon stock is 99.47 t/ha in the study area. The LAMP method found that the standing total AGB was 214.85-208.41 t/ha at a 95% confidence level and the FRA field-plot AGB estimate is 210.09/ha. This correspondence at this level of confidence means that the LAMP estimates are as accurate as those of the field-based inventory. J. Nat. Hist. Mus. Vol. 28, 2014: 160-170
关键词：LiDAR, satellite data, field plots, LAMP, biomass, carbon, REDD+