@inproceedings{4102472ec3814a3c99e6ae016c878b8d,
title = "EVALUATING THE REPRESENTATIVE CANOPY SURFACE OF ARCTICDEM IN BOREAL FORESTS",
abstract = "Optical stereoscopy derived digital elevation models (DEMs) are emerging data sources for forest height mapping. However, these DEMs are mixed products of digital terrain models and digital surface models. Understanding the representative surface (terrain, canopy top or somewhere in between) of these DEMs helps clarify the uncertainties in the surface elevation estimate and guide their applications. This study evaluated ArcticDEMs generated from Worldview-2 stereo images with different sun elevation angles and seasons. Our findings demonstrate that distinctions of imagery acquisition characteristics affect the surface elevation estimate of ArcticDEM. Moreover, their influences are not consistent across different forest types. For evergreen forests, the surface elevation estimate of ArcticDEM is more constrained by sun elevation angles with high (>45°) and low (<10°) angles representing lower (50th-60th percentiles) and upper canopy surfaces (85th-95th percentiles) respectively. ArcticDEMs in deciduous forests, in contrast, are more conditional on seasonal changes with leaf-on and leaf-off seasons reflecting upper canopy (80th-95th percentiles) and near-ground surfaces separately.",
keywords = "ArcticDEM, Boreal forests, Canopy heights, LVIS, Seasonality, Stereogrammetry, Sun elevation angle",
author = "Tianqi Zhang and Desheng Liu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",
year = "2021",
doi = "10.1109/IGARSS47720.2021.9553576",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6700--6703",
booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
}