Results 1 to 10 of about 42,133 (156)

Landform classification based on landform geospatial structure – a case study on Loess Plateau of China

open access: yesInternational Journal of Digital Earth, 2022
Landform classification, which is a key topic of geography, is of great significance to a wide range of fields including human construction, geological structure research, environmental governance, etc.
Nan Chen, Jing Xie, Jiayin Deng
exaly   +3 more sources

Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery

open access: yesGeomorphology, 2020
Landform classification is one of the most important aspects in geomorphological research, dividing the Earth’s surface into diverse geomorphological types.
Josef Strobl   +2 more
exaly   +2 more sources

Automatic Landform Recognition from the Perspective of Watershed Spatial Structure Based on Digital Elevation Models

open access: yesRemote Sensing, 2021
Landform recognition is one of the most significant aspects of geomorphology research, which is the essential tool for landform classification and understanding geomorphological processes.
Nan Chen, Siwei Lin
exaly   +2 more sources

A Scoping Review of Landform Classification Using Geospatial Methods

open access: yesGeomatics, 2023
Landform classification is crucial for a host of applications that include geomorphological, soil mapping, radiative and gravity-controlled processes. Due to the complexity and rapid developments in the field of landform delineation, this study provides ...
Zama Eric Mashimbye, Kyle Loggenberg
exaly   +2 more sources

Assessing the Prediction Accuracy of Geomorphon-Based Automated Landform Classification: An Example from the Ionian Coastal Belt of Southern Italy

open access: yesISPRS International Journal of Geo-Information, 2021
Automatic procedures for landform extraction is a growing research field but extensive quantitative studies of the prediction accuracy of Automatic Landform Classification (ACL) based on a direct comparison with geomorphological maps are rather limited ...
Maria Danese   +2 more
exaly   +2 more sources

Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia

open access: yesGeosciences, 2020
There has been an increasing trend of land area being brought under human’s use over time. This situation has led the community to carry out land-use development activities in landslide hazard-prone areas.
Syamsul Bachri   +5 more
doaj   +2 more sources

Large Scale Landform Mapping Using Lidar DEM

open access: yesISPRS International Journal of Geo-Information, 2015
In this study, LIDAR DEM data was used to obtain a primary landform map in accordance with a well-known methodology. This primary landform map was generalized using the Focal Statistics tool (Majority), considering the minimum area condition in ...
Türkay Gokgoz
exaly   +3 more sources

Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification

open access: yesQuaestiones Geographicae, 2017
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   +2 more sources

Interannual Variation in the Area and Water Volume of Lakes in Different Regions of the Tibet Plateau and Their Responses to Climate Change

open access: yesFrontiers in Earth Science, 2021
The area and volume changes of 20 lakes that were present during the period 1976–2019 in different parts of the Tibet Plateau were extracted using Landsat remote sensing satellite images on the Google Earth Engine platform. Changes in the water volume of
Shuyu Pang   +5 more
doaj   +1 more source

Quantification of Surface Pattern Based on the Binary Terrain Structure in Mountainous Areas

open access: yesRemote Sensing, 2023
Terrain significantly influences the physical processes and human activities occurring on the Earth’s surface, especially in mountainous areas. The classification and clarification of topographic structures are essential for the quantitative analysis of ...
Sijin Li   +3 more
doaj   +1 more source

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