Results 21 to 30 of about 2,022 (230)
ISPRS 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 ...
Dario Gioia +5 more
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Frontiers in Astronomy and Space Sciences, 2023 The study of Martian surface topography is important for understanding the geological evolution of Mars and revealing the spatial differentiation of the Martian landscape.
Danyang Liu +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 To address key issues with traditional landform classification methods that impact the integrity and continuity of the analysis area, as well as neglecting neighboring features, We presents a novel approach called superpixel-based graph convolutional ...
Honghao Fu +4 more
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Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs
ISPRS International Journal of Geo-Information, 2021 Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms.
Hong Wei +5 more
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Response of Vegetation Greenness to Extreme Droughts and Possible Mechanisms in Guizhou Province, China. [PDF]
Ecol EvolSpatiotemporal variations of the two drought events and the different response of vegetation NDVI to both events were investigated based on multiple data in Guizhou Province. The 2009–2010 drought exerted a inhibitory effect on vegetation growth, while the 2011 drought exhibited a milder impact, even demonstrating continued green growth amidst the dry ...
Meng C, Cen Y, Xue X.
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Remote 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.
Siwei Lin, Nan Chen, Zhuowen He
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Supervised classification of landforms in Arctic mountains [PDF]
Permafrost and Periglacial Processes, 2019 AbstractErosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic processes and rates will change.
Huw Thomas Mithan +2 more
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Deep learning-based automated terrain classification using high-resolution DEM data
International 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
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Landform Classification in Raster Geo-images [PDF]
, 2004 We present an approach to perform a landform classification of raster geo-images to obtain the semantics of DEMs. We consider the following raster layers: slope, profile curvature and plan curvature, which have been built to identify the intrinsic properties of the landscape. We use a multi-valued raster to integrate these layers. The attributes of the
Marco Moreno +3 more
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Quaestiones 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
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