[HTML][HTML] Geomorphometry and terrain analysis: Data, methods, platforms and applications
Terrain is considered one of the most essential natural geographic features and is a key
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …
Physical geomorphometry for elementary land surface segmentation and digital geomorphological mapping
By interpretations related to energy, elementary land surface segmentation can be treated
as a physical problem. Many pieces of such a view found in the literature can be combined …
as a physical problem. Many pieces of such a view found in the literature can be combined …
[HTML][HTML] Towards accurate mapping of loess waterworn gully by integrating google earth imagery and DEM using deep learning
R Chen, Y Zhou, Z Wang, Y Li, F Li, F Yang - International Soil and Water …, 2024 - Elsevier
Accurate mapping of loess waterworn gully (LWG) is essential to further study gully erosion
and geomorphological evolution for the Chinese Loess Plateau (CLP). Due to the vertical …
and geomorphological evolution for the Chinese Loess Plateau (CLP). Due to the vertical …
A reproducible and reusable pipeline for segmentation of geoscientific imagery
D Buscombe, EB Goldstein - Earth and Space Science, 2022 - Wiley Online Library
Segmentation of Earth science imagery is an increasingly common task. Among modern
techniques that use Deep Learning, the UNet architecture has been shown to be a reliable …
techniques that use Deep Learning, the UNet architecture has been shown to be a reliable …
Enhancing reproducibility and replicability in remote sensing deep learning research and practice
AE Maxwell, MS Bester, CA Ramezan - Remote Sensing, 2022 - mdpi.com
Many issues can reduce the reproducibility and replicability of deep learning (DL) research
and application in remote sensing, including the complexity and customizability of …
and application in remote sensing, including the complexity and customizability of …
Multiscale object-based classification and feature extraction along Arctic coasts
Permafrost coasts are experiencing accelerated erosion in response to above average
warming in the Arctic resulting in local, regional, and global consequences. However, Arctic …
warming in the Arctic resulting in local, regional, and global consequences. However, Arctic …
Multi-source deep-learning approach for automatic geomorphological mapping: the case of glacial moraines
Landform mapping is the initial step of many geomorphological analyses (eg assessment of
natural hazards and natural resources) and requires vast resources to be applied to wide …
natural hazards and natural resources) and requires vast resources to be applied to wide …
Exploring the Influence of Input Feature Space on CNN‐Based Geomorphic Feature Extraction From Digital Terrain Data
Many studies of Earth surface processes and landscape evolution rely on having accurate
and extensive data sets of surficial geologic units and landforms. Automated extraction of …
and extensive data sets of surficial geologic units and landforms. Automated extraction of …
[HTML][HTML] Rapid estimation of minimum depth-to-bedrock from lidar leveraging deep-learning-derived surficial material maps
Previously glaciated landscapes often share similar surficial characteristics, including large
areas of exposed bedrock, blankets of till deposits, and alluvium-floored valleys. These …
areas of exposed bedrock, blankets of till deposits, and alluvium-floored valleys. These …
Explanation of the influence of geomorphometric variables on the landform classification based on selected areas in Poland
K Dyba - Scientific Reports, 2024 - nature.com
In recent years, automatic image classification methods have significantly progressed,
notably black box algorithms such as machine learning and deep learning. Unfortunately …
notably black box algorithms such as machine learning and deep learning. Unfortunately …