Based on Digital Elevation Model (DEM) for Farmland Landscape Pattern [PDF]
Taking Gongyi city as a study area and by using the ArcGIS software, this paper analyzed the characteristics of farmland landscape patterns at the five slope gradients by Digital Elevation Model(DEM), and explored the human disturbance on farmlands. The results indicated that the distribution of farmland landscape elements differed obviously with slope
Li Yanyan+3 more
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Satellite derived Bathymetry and Digital Elevation Models (DEM)
All Days, 2014Abstract In 2010, Qatar Shell Upstream International B.V. (QSUI) re-entered Exploration in Qatar focusing on the relatively deep conventional Pre-Khuff gas plays with a view to discover additional hydrocarbons in the State of Qatar.
G. Morgan+3 more
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An evaluation of available digital elevation models (DEMs) for geomorphological feature analysis
Environmental Earth Sciences, 2020A digital elevation model (DEM) is an essential dataset for many land feature analyses, such as geomorphological feature analyses, which are very important for many types of studies. The present study involved the evaluation of five of the most common DEMs and their derived geomorphological features in the Humrat Assahn basin.
Majed Ibrahim+3 more
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An evaluation of digital elevation models (DEMs) for delineating land components
Geoderma, 2014Abstract Land component boundaries often coincide with transitions in environmental land properties such as soil, climate and biology. Image segmentation is an effective method for delineating terrain morphological units from digital elevation models (DEMs). This paper compares the land components derived from five DEMs.
Adriaan van Niekerk+2 more
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Effect of Digital Elevation Model (DEM) Resolution on the Hydrological and Water Quality Modeling
World Environmental and Water Resource Congress 2006, 2006The resolution of digital elevation model (DEM) used for watershed delineation and data extracted from the delineated watershed relevant to hydrography plays an important role in the calibration of hydrological models. The effect of DEM resolution on the drainage length, watershed area and average slope are studied in many earlier works. DEM resolution
Ramesh S. V. Teegavarapu+2 more
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The effects of wavelet compression on digital elevation models (DEMs)
IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004This paper investigates the effects of lossy compression on floating-point digital elevation models using the discrete wavelet transform. The compression of elevation data poses a different set of problems and concerns than does the compression of images.
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Digital Elevation Models (DEM) for the Analysis of the paved surface of Linear Infrastructures
2020<p>The proposed study aims at analyzing effective surveying techniques and methodologies to acquire more detailed metric data and to support traditional surveying techniques on linear infrastructures.</p><p>In particular, from measurements acquired with LiDAR technique, it is possible to obtain an ...
Margherita Fiani+1 more
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Quality Assessment of Globally Available Digital Elevation Model (DEM) for Mountainous Region
Journal of Geographical Studies, 2021The study assessed the accuracies of globally available Digital Elevation Models (DEM’s) i.e., SRTM v3, ASTER GDEM v2 and ALOS PALSAR DEM with respect to Topo-DEM derived from topographic map of 5m contour interval. 100 ground control points of the elevation data were collected with the help of kinematic hand held GNSS (Global Navigation Satellite ...
Sangay Gyeltshen+3 more
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The impact of horizontal errors on the accuracy of freely available Digital Elevation Models (DEMs)
International Journal of Remote Sensing, 2020Many freely available global or quasi-global digital elevation model (DEM) datasets, including Advanced Land Observing Satellite (ALOS) World 3 Dimensions (3D) 30 m DEM (AW3D30 DEM), Advanced Space...
Liyi Guan+5 more
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A digital elevation model based method for a rapid estimation of flood inundation depth
Journal of Flood Risk Management, 2019In recent years, the acquisition of data from multiple sources, together with improvements in computational capabilities, has allowed to improve our understanding on natural hazard through new approaches based on machine learning and Big Data analytics ...
S. Manfreda, C. Samela
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