Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA

Abstract

a Department of Geography, Hunter College of CUNY, New York, NY 10065, United States b Department of Geography, University of Hawai'i at Mānoa, Honolulu, HI 96822, United States c Sigma Space Corporation, Lanham, MD 20706, United States d Cooperative Institute for Climate and Satellites, Earth System Science Interdisciplinary Research Center, University of Maryland, College Park, Maryland, United States

13 Figures and Tables

051015201520162017
Citations per Year

Citation Velocity: 7

Averaging 7 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Lee2011PhysicallyBV, title={Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA}, author={Shihyan Lee and Wenge Ni-Meister and Wenze Yang and Qi Chen}, year={2011} }