Results 21 to 30 of about 4,530 (76)

Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

International Journal of Digital Earth
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, Jinming Yang, Xi Chen, Junqiang Yao, Lanhai Li, Yubao Qiu   +5 more
doaj   +1 more source

Spatial prediction based on Third Law of Geography

Annals of GIS, 2018
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, Guonian Lu, Jing Liu, Cheng‐Zhi Qin, Chenghu Zhou   +4 more
doaj   +1 more source

A fine-grained evaluation of social vulnerability to COVID-19, healthcare access and built environmental disparities in Tokyo, Japan

International Journal of Digital Earth, 2022
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
doaj   +1 more source

A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model

International Journal of Digital Earth
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, Youliang Chen, Shiteng Wang, Hongchong Li, Qin Fan   +4 more
doaj   +1 more source

A high-precision image classification network model based on a voting mechanism

International Journal of Digital Earth, 2022
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, Xin Wang, Xintong Dou, Yingxue Zhao, Zexin Fu, Ming Guo, Ruiju Zhang   +6 more
doaj   +1 more source

Floating in the air: forecasting allergenic pollen concentration for managing urban public health

International Journal of Digital Earth
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, Xuanlong Ma, Zhengyang Zhang, Yuxia Liu, Yunpeng Luo, Kai Yan, Tao Pei, Alfredo Huete   +7 more
doaj   +1 more source

A survey of the Geoinformatics use for census purposes and the INSPIRE maturity within Statistical Institutes of EU and EFTA countries

Annals of GIS, 2019
In 2007, the European Parliament established the Directive 2007/2/EC for the Infrastructure for Spatial Information in the European Community (INSPIRE).
Kalogeropoulos Kleomenis, Stathopoulos Nikolaos, Tsatsaris Andreas, Chalkias Christos   +3 more
doaj   +1 more source

Assessing OSM building completeness for almost 13,000 cities globally

International Journal of Digital Earth, 2022
OpenStreetMap (OSM) is an essential source for acquiring building data, although such data may suffer from quality issues. Many studies have focused on assessing OSM building data quality but few have been carried out on a global scale.
Qi Zhou, Yuheng Zhang, Ke Chang, Maria Antonia Brovelli   +3 more
doaj   +1 more source

Feature-constrained automatic geometric deformation analysis method of bridge models toward digital twin

International Journal of Digital Earth
It is very important to construct digital twin scenes, which can accurately describe the dynamically changing geographical environment and improve the level of refined management in bridge construction.
Jun Zhu, Niya Luo, Zhihao Guo, Jianbo Lai, Li Zuo, Chuanjun Zhang, Yukun Guo, Ya Hu   +7 more
doaj   +1 more source

Reliable assessment approach of landslide susceptibility in broad areas based on optimal slope units and negative samples involving priori knowledge

International Journal of Digital Earth, 2022
Reliable assessment of landslide susceptibility in broad areas of terrain remains challenging due to complex topography and poor representation of randomly selected negative samples.
Xiao Fu, Yuefan Liu, Qing Zhu, Daqing Ge, Yun Li, Haowei Zeng   +5 more
doaj   +1 more source