L Hawker, P Uhe, L Paulo, J Sosa… - Environmental …, 2022 - iopscience.iop.org
Elevation data are fundamental to many applications, especially in geosciences. The latest global elevation data contains forest and building artifacts that limit its usefulness for …
Freely available global digital elevation models (DEMs) are important inputs for many research fields and applications. During the last decade, several global DEMs have been …
Open-access global Digital Elevation Models (DEM) have been crucial in enabling flood studies in data-sparse areas. Poor resolution (> 30 m), significant vertical errors and the fact …
The global forest ecosystem, which acts as a large carbon sink, plays an important role in modeling the global carbon balance. An accurate estimation of the total forest carbon stock …
SA Kulp, BH Strauss - Remote sensing of environment, 2018 - Elsevier
Positive vertical bias in elevation data derived from NASA's Shuttle Radar Topography Mission (SRTM) is known to cause substantial underestimation of coastal flood risks and …
The most prevalent global surface models are derived from space-based technologies. The spatial and temporal coverage of radar and imaging systems have significant advantage …
Q Guo, Y Su, T Hu, X Zhao, F Wu, Y Li… - … journal of remote …, 2017 - Taylor & Francis
In recent decades, global biodiversity has gradually diminished due to the increasing pressure from anthropogenic activities and climatic change. Accurate estimations of spatially …
Vegetation maps are important sources of information for biodiversity conservation, ecological studies, vegetation management and restoration, and national strategic decision …
X Lin, R Shang, JM Chen, G Zhao, X Zhang… - Agricultural and Forest …, 2023 - Elsevier
Forest age is a key parameter for estimating forest growth and carbon uptake and for forest management. Remote sensing provides indirect but useful information for mapping forest …