Results 21 to 30 of about 10,238 (266)
China’s Wealth Capital Stock Mapping via Machine Learning Methods
The frequent occurrence of extreme weather and the development of urbanization have led to the continuously worsening climate-related disaster losses. Socioeconomic exposure is crucial in disaster risk assessment. Social assets at risk mainly include the
Lulu Ren +5 more
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A gridded social-economic data is essential for geoscience analysis and multidisciplinary application. Spatial allocation of carbon dioxide statistics data is an important issue in the context of global climate change, which involves the carbon emissions
Jianbin Tao, XiangBing Kong
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Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System
High spatial and thematic resolution of Land Use/Cover (LU/LC) maps are central for accurate watershed analyses, improved species, and habitat distribution modeling as well as ecosystem services assessment, robust assessments of LU/LC changes, and ...
Gregory Giuliani +4 more
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Instant transport maps on 2D grids [PDF]
In this paper, we introduce a novel and extremely fast algorithm to compute continuous transport maps between 2D probability densities discretized on uniform grids. The core of our method is a novel iterative solver computing the L 2 optimal transport map from a grid to the uniform density in the 2D ...
Nader, Georges, Guennebaud, Gael
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In a household setting, a wheelchair-mounted robotic arm (WMRA) can be useful for assisting elderly and disabled individuals. However, the current WMRA can only perform movement and grasping tasks through joystick remote control.
Ming Zhong +4 more
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Gridded population data is widely used to map fine scale population patterns and dynamics to understand associated human-environmental processes for global change research, disaster risk assessment and other domains.
Franz Schug +3 more
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Advanced developments have been achieved in urban human population estimation, however, there is still a considerable research gap for the mapping of remote rural populations.
Lanhui Li +6 more
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High-resolution inversion of methane emissions in the Southeast US using SEAC4RS aircraft observations of atmospheric methane: anthropogenic and wetland sources [PDF]
We use observations of boundary layer methane from the SEAC4RS aircraft campaign over the Southeast US in August–September 2013 to estimate methane emissions in that region through an inverse analysis with up to 0.25° × 0.3125° (25×25 km2) resolution
J.-X. Sheng +8 more
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Accurately mapping global wheat production system using deep learning algorithms
Assessing global food security and developing sustainable production systems need spatially explicit information on crop harvesting areas and yields; however the available datasets are spatially and temporally coarse.
Yuchuan Luo +8 more
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Optimal interpolation of global dissolved oxygen: 1965–2015
Oxygen inventory of the global ocean has declined in recent decades potentially due to the warming‐induced reduction in solubility as well as the circulation and biogeochemical changes associated with ocean warming and increasing stratification.
Takamitsu Ito
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