Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR
type: Item
DOI: 10.3390/RS6031762
instance of: scholarly article
title: Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR
issue: 3
page(s): 1762-1782
volume: 6
publication date: 2014-02-26T00:00:00Z
published in: Remote Sensing
author name string: Jeffrey Masek
author name string: Paul Bourget
author name string: Bruce Cook
author name string: Khaldoun Rishmawi
author name string: Feng Zhao
author: Christopher Neigh
author: Chengquan Huang
cites work: Role of land cover changes for atmospheric CO2increase and climate change during the last 150 years
cites work: Implications of differing input data sources and approaches upon forest carbon stock estimation
cites work: Evaluation and Improvement of Geopositioning Accuracy of IKONOS Stereo Imagery
cites work: Recent rates of forest harvest and conversion in North America
cites work: An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
cites work: United States Forest Disturbance Trends Observed Using Landsat Time Series
cites work: Supporting large-area, sample-based forest inventories with very high spatial resolution satellite imagery
cites work: Forest Disturbance and North American Carbon Flux
cites work: Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR
cites work: Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
main subject: lidar
main subject: canopy
main subject: remote sensing
DBLP publication ID: journals/remotesensing/NeighMBCHRZ14
copyright license: Creative Commons Attribution 4.0 International
copyright status: copyrighted
description: wetenschappelijk artikel @nl
description: наукова стаття, опублікована в лютому 2014 @uk
description: im Februar 2014 veröffentlichter wissenschaftlicher Artikel @de
description: article by Christopher Neigh et al published 26 February 2014 in Remote Sensing