DOI: 10.1016/j.jag.2012.12.009
Scopus记录号: 2-s2.0-84880276824
论文题名: A novel approach to estimate canopy height using ICESat/GLAS data: A case study in the New Forest National Park, UK
作者: Iqbal I ; A ; , Dash J ; , Ullah S ; , Ahmad G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 109
结束页码: 118
语种: 英语
英文关键词: Canopy height
; LiDAR
; Remote sensing
Scopus关键词: canopy
; digital terrain model
; estimation method
; forest cover
; height
; ICESat
; lidar
; remote sensing
; satellite data
; England
; Hampshire
; New Forest
; United Kingdom
英文摘要: The Geoscience Laser Altimeter System (GLAS) aboard Ice, Cloud and land Elevation Satellite (ICESat) is a spaceborne LiDAR sensor. It is the first LiDAR instrument which can digitize the backscattered waveform and offer near global coverage. Among others, scientific objectives of the mission include precise measurement of vegetation canopy heights. Existing approaches of waveform processing for canopy height estimation suggest Gaussian decomposition of the waveform which has the limitation to properly characterize significant peaks and results in discrepant information. Moreover, in most cases, Digital Terrain Models (DTMs) are required for canopy height estimation. This paper presents a new automated method of GLAS waveform processing for extracting vegetation canopy height in the absence of a DTM. Canopy heights retrieved from GLAS waveforms were validated with field measured heights. The newly proposed method was able to explain 79% of variation in canopy heights with an RMSE of 3.18 m, in the study area. The unexplained variation in canopy heights retrieved from GLAS data can be due to errors introduced by footprint eccentricity, decay of energy between emitted and received signals, uncertainty in the field measurements and limited number of sampled footprints. Results achieved with the newly proposed method were encouraging and demonstrated its potential of processing full-waveform LiDAR data for estimating forest canopy height. The study also had implications on future full-waveform spaceborne missions and their utility in vegetation studies. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79854
Appears in Collections: 气候变化事实与影响
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作者单位: School of Geography, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AA Enschede, Netherlands; Pakistan Forest Institute, Peshawar, Khyber Pakhtunkhwa, Pakistan
Recommended Citation:
Iqbal I,A,, Dash J,et al. A novel approach to estimate canopy height using ICESat/GLAS data: A case study in the New Forest National Park, UK[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)