Results 21 to 30 of about 46,780 (128)
Spatiotemporal analysis of the impact of urban landscape forms on PM2.5 in China from 2001 to 2020
Urban landscape forms can be effective in reducing increasing PM2.5 concentrations due to urbanization in China, making it crucially important to accurately quantify the spatiotemporal impact of urban landscape forms on PM2.5 variations.
Shoutao Zhu +8 more
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There has been a significant increase in the availability of global high-resolution land cover (HRLC) datasets due to growing demand and favorable technological advancements. However, this has brought forth the challenge of collecting reference data with
Gorica Bratic +2 more
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The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to environmental variables.
Majid Kiavarz +5 more
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Passive microwave (PM) remote sensing have been extensively used for snow depth (SD) estimation. However, current SD products from traditional PM data fail to capture the differentiation in mountainous and complex terrains with coarse resolution ...
Yang Liu +5 more
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Spatial prediction based on Third Law of Geography
Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of these methods so they are adaptive to local ...
A‐Xing Zhu +4 more
doaj +1 more source
Measuring vulnerability to COVID-19 and healthcare accessibility at the fine-grained level serves as the foundation for spatially explicit health planning and policy making in response to future public health crises.
Siqin Wang, Yukio Sadahiro
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A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model
Aiming at the inherent “labeling bias” problem of Hidden Markov Models (HMMs) in the process of low-frequency sampling rate GPS trajectory map matching, this paper proposes a map matching method that combines HMMs and Conditional Random Field Models ...
Wei Li +4 more
doaj +1 more source
A high-precision image classification network model based on a voting mechanism
With the development of satellite remote sensing technology, image classification task, as the basis of remote sensing data interpretation, has received wide attention to improving accuracy and robustness.
Jianghong Zhao +6 more
doaj +1 more source
Floating in the air: forecasting allergenic pollen concentration for managing urban public health
The presence of airborne allergenic pollen causes a variety of immune reactions and respiratory diseases, threatening human life in severe cases. Climate change is exacerbating the allergenic pollen-induced health risks and adding a significant economic ...
Xiaoyu Zhu +7 more
doaj +1 more source
In 2007, the European Parliament established the Directive 2007/2/EC for the Infrastructure for Spatial Information in the European Community (INSPIRE).
Kalogeropoulos Kleomenis +3 more
doaj +1 more source

