Q
Qi Chen
Researcher at University of Hawaii
Publications - 90
Citations - 5535
Qi Chen is an academic researcher from University of Hawaii. The author has contributed to research in topics: Lidar & Population. The author has an hindex of 35, co-authored 84 publications receiving 4405 citations. Previous affiliations of Qi Chen include University of California, Berkeley & University of Hawaii at Manoa.
Papers
More filters
Journal ArticleDOI
Online Rainfall Atlas of Hawai‘i
Thomas W. Giambelluca,Qi Chen,Abby G. Frazier,Jonathan P. Price,Yi-Leng Chen,Pao-Shin Chu,Jon Eischeid,Donna Delparte +7 more
TL;DR: The Rainfall Atlas of Hawai'i as discussed by the authors is a set of digitalmaps of the spatial patterns of the 1978-2007 meanmonthly and annual rainfall for the major Hawaiian islands.
Journal ArticleDOI
Isolating individual trees in a savanna woodland using small footprint lidar data
TL;DR: In this paper, a new method of detecting individual treetops from lidar data and applying marker-controlled watershed segmentation into isolating individual trees in savanna woodland is presented.
Journal ArticleDOI
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
TL;DR: A survey of current biomass estimation methods using remote sensing data and discusses four critical issues – collection of field-based biomass reference data, extraction and selection of suitable variables fromRemote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure.
Journal ArticleDOI
Filtering airborne laser scanning data with morphological methods
TL;DR: The experimental test results show that this method performs well for most sites, except those with missing data due to the lack of overlap between swaths, and shows encouraging results for laser data with low pulse density.
Journal ArticleDOI
Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data
Gaia Vaglio Laurin,Gaia Vaglio Laurin,Qi Chen,Jeremy A. Lindsell,David A. Coomes,Fabio Del Frate,Leila Guerriero,Francesco Pirotti,Riccardo Valentini +8 more
TL;DR: In this paper, a Partial Least Square Regression (PLSR) was adopted to cope with multiple inputs and multicollinearity issues; the Variable of Importance in the Projection was calculated to evaluate importance of individual predictors for biomass.