International Journal of Geosciences

International Journal of Geosciences

ISSN Print: 2156-8359
ISSN Online: 2156-8367
www.scirp.net/journal/ijg
E-mail: [email protected]
"Quantitative Geomorphometrics for Terrain Characterization"
written by David Coblentz, Frank Pabian, Lakshman Prasad,
published by International Journal of Geosciences, Vol.5 No.3, 2014
has been cited by the following article(s):
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[1] A Simplified Geostatistical Approach for Characterizing Key Aspects of Short-Range Roughness
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[2] Identification of drainage patterns using a graph convolutional neural network
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[3] Développement d'une nouvelle approche d'extraction du réseau de surface à partir d'un nuage de points LiDAR massif basée sur la théorie de Morse
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[4] Impact of river erosion on variances in colluvial movement and type for landslides in the Polish Outer Carpathians
CATENA, 2022
[5] Estimating the Geological Structure and Transport Properties of Denied and Limited Access Sites
Earth and Space Science, 2022
[6] A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction
2020
[7] Морфометрические характеристики рельефа агроландшафтов Симферопольского района Республики Крым
Известия высших учебных заведений …, 2020
[8] From geological to soil parent material maps-A random forest-supported analysis of geological map units and topography to support soil survey in South Tyrol
2019
[9] Influence of Geomorphology on Runoff Characteristics of A Catchment
2018
[10] Study of Morphometric Properties and Water Balance Using Thornthwaite Method in Khanaqin Basin, East of Iraq.
Journal of University of Babylon, 2018
[11] Multifractal Topography: A Tool to Measure Tectonic Complexity in the Zagros Mountain Range
Mathematical Geosciences, 2018
[12] Standard core variables for continental shelf prehistoric research and their availability
2017
[13] Geomorphological Delineation using Computer Vision to Support Automated Mapping
2016
[14] Using an unmanned aerial vehicle-based digital imaging system to derive a 3D point cloud for landslide scarp recognition
Remote Sensing, 2016
[15] Multi-resolution landslide susceptibility analysis using a DEM and random forest
2016
[16] Identifying spatio-temporal landslide hotspots on North Island, New Zealand, by analyzing historical and recent aerial photography
Geosciences, 2016
[17] Integrating stream networks and landscape mosaics in a new conceptualisation of savanna landscapes
2015
[18] Revised geologic site characterization of the North Korean test site at Punggye-ri
Science & Global Security, 2015
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