Deep learning-based automated terrain classification using high-resolution DEM data
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
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model [PDF]
In general, there are no long-term meteorological or hydrological data available for karst river basins. The lack of rainfall data is a great challenge that hinders the development of hydrological models. Quantitative precipitation estimates (QPEs) based
D. Yuan +7 more
core +2 more sources
AUTOMATED CLASSIFICATION OF LANDFORMS WITH GIS SUPPORT
Abstract Relief classification methodologies seek to define the parameters that determine those parts of the terrestrial surface that present homogeneous forms and elements. The rapid development of geotechnology has increasingly provided tools and methodologies that assist in studies related to relief.
Romario Trentin +1 more
openaire +4 more sources
Land elements have been used as basic landform descriptors in many science disciplines, including soil mapping, vegetation mapping, and landscape ecology. This paper presents a semi-automatic method based on k-means unsupervised classification to analyze
Piloyan Artak, Konečný Milan
doaj +1 more source
Characteristics and comprehensive evaluation of important geological heritage resources in Tianjin
Geological heritage is an important part of natural resources. Properly handling the relationship between protection and utilization of geological heritage in a high urbanization level area is one of the ecological measures to promote the high-quality ...
Zhihua LI +4 more
doaj +1 more source
Gridmapping the northern plains of Mars: Geomorphological, Radar and Water-Equivalent Hydrogen results from Arcadia Plantia [PDF]
A project of mapping ice-related landforms was undertaken to understand the role of sub-surface ice in the northern plains. This work is the first continuous regional mapping from CTX (“ConTeXt Camera”, 6 m/pixel; Malin et al., 2007) imagery in Arcadia ...
Balme, Matthew R. +20 more
core +3 more sources
Classification of seabed landforms on continental and island shelves
The increasing availability and quality of high-resolution bathymetry data has led to a growing need for automated classification approaches to extract seabed features and better understand our ever-changing and complex seascapes. Here we present a new set of GIS tools designed to classify seabed landforms on continental and island shelf settings.
Michelle Linklater +2 more
openaire +2 more sources
Suitability of Hammond's method for determining landform units in Slovenia
Landform is often the most important factor in distinguishing between regions and an important element of geographic classification, typification, and regionalization; this is why morphological classification has had a long tradition in Slovenia and ...
Mauro Hrvatin, Drago Perko
doaj +1 more source
Land Capability in the Lake Travis Vicinity, Texas A Practical Guide for the Use of Geologic and Engineering Data [PDF]
UT ...
Woodruff, Jr., C. M.
core +1 more source
Landform classification based on topographic position Index
Earth surface study or Geomorphology is one of the fundamental physical geographic studies. The ultimate result of the geomorphological study is shown as a map and many geomorphological researchers have been developing their geomorphology-mapping methodology over time.
Odbaatar Ekhjargal +2 more
openaire +1 more source

