Results 211 to 220 of about 11,296 (261)

Classifying land use within 80,000 mining sites on a global scale. [PDF]

Sci Data
Cheng YT, Hoang NT, Maupu L, Kanemoto K.
europepmc   +1 more source

Implicit 3D geological modeling method based on expert knowledge constraints: A case study from the Songshugang Mining District, Hengfeng County, Jiangxi Province, China. [PDF]

PLoS One
Jin W, Wu Z, Xu Z, Li H, Li B, Guo F, Zhang Z, Ma F, Li H, Lu P.   +9 more
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Vegetation dynamics and associated driving mechanisms in the water source area of the central route of the South-to-North Water Diversion, China during 2000-2022. [PDF]

Sci Rep
Wang L, Jiang Y.
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Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms. [PDF]

Proc Natl Acad Sci U S A
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A MATLAB-based digital elevation model (DEM) data processing toolbox (MDEM)

Environmental Modelling & Software, 2019
Abstract A MATLAB-based digital elevation model (DEM) data processing toolbox called MDEM is built upon an improved DEM data processing algorithm, known as the PDEM, for rectifying flat areas and depressions in DEM data and producing realistic patterns of flow accumulation and extracted channel networks. Compared to the original PDEM, the computation
Feifei Pan 0001, Xiaohuan Xi, Cheng Wang 0016   +2 more
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A continuous digital elevation representation model for DEM super-resolution

ISPRS Journal of Photogrammetry and Remote Sensing
Shun Yao, Yongmei Cheng, Fei Yang, Mikhail G. Mozerov   +3 more
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Satellite derived Bathymetry and Digital Elevation Models (DEM)

International Petroleum Technology Conference, 2014
Abstract 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.
J. Siermann, C. Harvey, G. Morgan, T. Heege   +3 more
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Influence of DEM (Digital Elevation Model) Resolution in Geomorphological Modeling

Paripex - Indian Journal Of Research, 2012
We investigate whether an improvement in spatial resolution of DEMs (Digital Elevation Models) always leads to an improvement in the results of geomorphological models. To this end, we selected a state-of-art model for the prediction of soil thickness and we applied it in a test area using input data derived from DEMs with a cell size of 5, 10 and 20 ...
SEGONI, SAMUELE, MORETTI, SANDRO
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