[HTML][HTML] The assessment of water-borne erosion at catchment level using GIS-based RUSLE and remote sensing: A review

K Phinzi, NS Ngetar - International Soil and Water Conservation Research, 2019 - Elsevier
Soil erosion is a direct product of the complex interactions between natural and
anthropogenic factors. Such factors vary over space and time, making the assessment of soil …

A 30 m global map of elevation with forests and buildings removed

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 …

Vertical accuracy of freely available global digital elevation models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)

E Uuemaa, S Ahi, B Montibeller, M Muru, A Kmoch - Remote Sensing, 2020 - mdpi.com
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 …

Perspectives on digital elevation model (DEM) simulation for flood modeling in the absence of a high-accuracy open access global DEM

L Hawker, P Bates, J Neal, J Rougier - Frontiers in Earth Science, 2018 - frontiersin.org
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 …

Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data

Y Su, Q Guo, B Xue, T Hu, O Alvarez, S Tao… - Remote Sensing of …, 2016 - Elsevier
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 …

CoastalDEM: A global coastal digital elevation model improved from SRTM using a neural network

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 …

Digital terrain model elevation corrections using space-based imagery and ICESat-2 laser altimetry

L Magruder, A Neuenschwander, B Klotz - Remote Sensing of Environment, 2021 - Elsevier
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 …

An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China

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 …

An updated vegetation map of China (1: 1000000)

Y Su, Q Guo, T Hu, H Guan, S Jin, S An, X Chen, K Guo… - Science Bulletin, 2020 - Elsevier
Vegetation maps are important sources of information for biodiversity conservation,
ecological studies, vegetation management and restoration, and national strategic decision …

High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data

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 …