Results 1 to 10 of about 7,093 (119)

An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution

open access: yesRemote Sensing, 2023
The scale of digital elevation models (DEMs) is vital for terrain analysis, surface simulation, and other geographic applications. Compared to traditional super-resolution (SR) methods, deep convolutional neural networks (CNNs) have shown great success ...
Guodong Chen   +5 more
doaj   +3 more sources

The Refined Gravity Field Models for Height System Unification in China

open access: yesRemote Sensing, 2022
A unified height datum is essential for global geographic information resource construction, ecological environment protection, and scientific research.
Panpan Zhang   +6 more
doaj   +1 more source

Combining Global Geopotential Models, Digital Elevation Models, and GNSS/Leveling for Precise Local Geoid Determination in Some Mexico Urban Areas: Case Study

open access: yesISPRS International Journal of Geo-Information, 2021
This work shows improvements of geoid undulation values obtained from a high-resolution Global Geopotential Model (GGM), applied to local urban areas.
Norberto Alcantar-Elizondo   +3 more
doaj   +1 more source

Refinement of Bouguer anomalies derived from the EGM2008 model, impact on gravimetric signatures in mountainous region: Case of Cameroon Volcanic Line, Central Africa

open access: yesEarth and Planetary Physics, 2020
Global geopotential models have not included the very high frequencies of the Earth’s external gravity field. This is called omission error. This omission error becomes more important in mountainous areas (areas with highly variable topography). The work
Paul Gautier Kamto   +4 more
doaj   +1 more source

Deep learning-based automated terrain classification using high-resolution DEM data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Landforms are a fundamental component of the natural environment, and digital terrain mapping on a large spatial scale is important when studying landforms. In this study, we adopted a semantic segmentation model in computer vision to classify elementary
Jiaqi Yang   +5 more
doaj   +1 more source

Estimation of Vertical Datum Parameters Using the GBVP Approach Based on the Combined Global Geopotential Models

open access: yesRemote Sensing, 2020
Unification of the global vertical datum has been a key problem to be solved for geodesy over a long period, and the main challenge for a unified vertical datum system is to determine the vertical offset between the local vertical datum and the global ...
Panpan Zhang   +7 more
doaj   +1 more source

Super-resolution for terrain modeling using deep learning in high mountain Asia

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
High Mountain Asia (HMA) is characterized by some of the most complex and rugged terrain conditions in the world. However, high resolution terrain data are not easy to quickly acquire from the area due to difficulties in accessing the region.
Yinghui Jiang   +4 more
doaj   +1 more source

Exploring the relationship between avalanche hazard and run list terrain choices at a helicopter skiing operation [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2019
While guides in mechanized skiing operations use a well-established terrain selection process to limit their exposure to avalanche hazard and keep the residual risk at an acceptable level, the relationship between the open/closed status of runs and ...
R. Sterchi, P. Haegeli, P. Mair
doaj   +1 more source

High-resolution residual terrain model and terrain corrections for gravity field modelling and geoid computation in Niger Republic

open access: yesGeodesy and Cartography, 2018
In this study, we computed and presented grid maps of high-resolution terrain corrections and residual terrain model (RTM) as short-wavelengths of the gravity field and the geoid in Niger.
Salissou Ibrahim Yahaya, Driss El Azzab
doaj   +1 more source

An Adaptive Surface Interpolation Filter Using Cloth Simulation and Relief Amplitude for Airborne Laser Scanning Data

open access: yesRemote Sensing, 2021
Separating point clouds into ground and nonground points is an essential step in the processing of airborne laser scanning (ALS) data for various applications. Interpolation-based filtering algorithms have been commonly used for filtering ALS point cloud
Feng Li   +4 more
doaj   +1 more source

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