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Understanding of the relationship between vegetation change and physical geographic factors based on geographical detector

SPIE Proceedings, 2015
In order to analyze the effect of physical geographic factors on vegetation change in arid and semi-arid ecosystems, assess the relative role of individual physical geographic factors and the interaction between factors on vegetation changes quantitatively, this study takes the Xinjiang area as an example, uses the GIS spatial analysis technology and ...
Jing Pang, Ziqiang Du, Xiaoyu Zhang
openaire   +1 more source

Analysis of Ecological Factors Affecting Beijing City Based on Geographical Detector

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Remote-sensing-technology can evaluate ecological environment quickly, objectively and quantitatively. This paper used the remote-sensing ecological model to inverse ecological indexes based on satellite images and basic geographic data in Beijing, China.
Xiaoming Deng 0002   +3 more
openaire   +1 more source

The use of Google Earth Engine and Geographical Detectors to monitor farmland changes in Fujian province

2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2021
Detailed information regarding the status and dynamics of farmlands is essential to protect food security, particularly for areas with a limited portion of farmlands like Fujian province. Since Fujian has a mountainous terrain and subtropical climate, it is challenging to acquire cloud-free remote sensing images to extract land information from remote ...
Shupei Ding   +4 more
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Global pattern and drivers of water scarcity research: a combined bibliometric and geographic detector study

Environmental Monitoring and Assessment, 2022
Water scarcity, which refers to a deficit of freshwater resources availability in meeting anthropogenic and environmental water needs, is nowadays a growing concern in many countries around the world. Because water scarcity is often poor management induced, research is critical to advance knowledge and provide technical and policy support for water ...
Siao Sun   +4 more
openaire   +2 more sources

Spatiotemporal characteristics and determinants of agricultural carbon offset rate in China based on the geographic detector

Environmental Science and Pollution Research, 2023
This paper attempts to explore the spatiotemporal variation characteristics of the agricultural carbon offset rate (ACOR) and the reasons that shape its differentiation characteristics in China. To achieve this objective, the Dagum Gini coefficient, kernel density estimation, and geographic detector model are employed in this study.
Jie, Huang, Zimin, Sun, Minzhe, Du
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Influence Factors Analysis of Geological Disasters in Southeastern Tibet Based on Geographical Detector

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The southeastern Tibet study area is located in key position of traffic lifeline of the entering Tibet. On the special environment of physical geography and geology, the geological disasters in this area occurred frequently. There are 406 geological disasters which area larger than 20000m2 are acquired by remote sensing interpretation, including ...
Weijie Jia, Mengfei Wang, Zhihua Wang
openaire   +1 more source

Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods

Landslides, 2017
Landslides are among the most common and dangerous natural hazards in mountainous regions that can cause damage to properties and loss of lives. Landslide susceptibility mapping (LSM) is a critical tool for preventing or mitigating the negative impacts of landslides.
Wei Luo, Cheng-Chien Liu
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Influential factors detection for surface water quality with geographical detectors in China

Stochastic Environmental Research and Risk Assessment, 2018
Surface water quality is a matter of serious concern in China. This study quantitatively analyzes the spatial–temporal characteristics of surface water quality among 100 monitoring stations in China during 2015. A geographical detector was used to detect the influential annual and seasonal factors.
Jiaxin Wang   +3 more
openaire   +1 more source

Spatial rough set-based geographical detectors for nominal target variables

Information Sciences, 2022
Hexiang Bai   +4 more
openaire   +1 more source

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