Min Huang

Min Huang
Jiangxi Normal University · School of Geography and Environment

Doctor of Philosophy

About

14
Publications
2,023
Reads
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84
Citations
Citations since 2017
14 Research Items
85 Citations
2017201820192020202120222023010203040
2017201820192020202120222023010203040
2017201820192020202120222023010203040
2017201820192020202120222023010203040
Additional affiliations
September 2015 - June 2021
Wuhan University
Position
  • PhD
Education
September 2015 - June 2021
Wuhan University
Field of study
  • GIS, Remote sensing
September 2011 - June 2015
Wuhan University
Field of study
  • Remote sensing

Publications

Publications (14)
Cover Page
Full-text available
Dear Colleagues, With the blowout development of earth observation (EO) technologies (e.g., optical and microwave remote sensing, LiDAR, GNSS, and geospatial sensor web) in recent years, EO data have accumulated quickly to the petabyte-level, which provides the greatest opportunities yet for earth environmental science, but meanwhile pose the gran...
Article
Full-text available
The COVID-19 pandemic has been a great challenge to society, the economy, and population health. It has become a significant public health event and social problem. Exploring the impact of COVID-19 on the accessibility of outdoor sports venues is crucial for people's health. Based on spatial theory, the quantitative and qualitative analyses of outd...
Article
Full-text available
One of the major barriers to hindering the sustainable development of the terrestrial environment is the desertification process, and revegetation is one of the most significant duties in anti-desertification. Desertification deteriorates land ecosystems through species decline, and remote sensing is becoming the most effective way to monitor deser...
Article
Full-text available
Impervious surfaces caused by rapid urbanization affect the environment and increase the disaster risk. Currently, most articles have extracted impervious surfaces by manual participation for training samples with medium-and-high spatial resolution remote sensing images. Therefore, it is necessary to develop a new method for improving the efficienc...
Article
Full-text available
Ocean temperature is a vital physical variable of the oceans. Accurately predicting the long lead dynamics of the three-dimensional ocean temperature (3D-OT) can help us identify in advance potential extreme events (e.g., droughts and floods) that may be caused by the changes of the 3D-OT, which however remains a challenge. To achieve this goal, a...
Article
Full-text available
The integration analysis of multi-type geospatial information poses challenges to existing spatiotemporal data organization models and analysis models based on deep learning. For earthquake early warning, this study proposes a novel intelligent spatiotemporal grid model based on GeoSOT (SGMG-EEW) for feature fusion of multi-type geospatial data. Th...
Article
Full-text available
As the second largest island in Japan, Hokkaido provides precious land resources for the Japanese people. Meanwhile, as the food base of Japan, the gradual decrease of the agricultural population and more intensive agricultural practices on Hokkaido have led its arable land use to change year by year, which has also caused changes to the whole land...
Article
Full-text available
Impervious surface has become one of the key factors of regional environmental problems and disasters. There rises an urgent need for mapping large-scale high-resolution impervious surfaces to help delicate modeling and overall planning. In the existing large-scale impervious surface mapping studies, there are many studies and products at medium re...
Article
Full-text available
The satellite-retrieved Aerosol Optical Depth (AOD) is widely used to estimate the concentrations and analyze the spatiotemporal pattern of Particulate Matter that is less than or equal to 2.5 microns (PM2.5), also providing a way for the related research of air pollution. Many studies generated PM2.5 concentration networks with resolutions of 3 km...
Article
Flood Detection and Service (FD&S) is of great significance to flood management and decision-making. But most of the state-of-art FD&S methods are weak in timeliness and extensibility, and could not reflect flood processes. To resolve the abovementioned problems, this paper proposed the process-based FD&S (PFD&S) method based on Sensor Web. PFD&S i...
Article
Full-text available
Implying the prosperity and development of the city, impervious surface area (ISA) is playing an increasingly important role in ecological processes, microclimate, material and energy flows, and urban flood. The free sub-meter resolution Google Earth image, which is integrated by several high spatial resolution data, appears to have potential for h...
Article
Full-text available
This paper presents some preliminary results from research on monitoring the urban growth of Shenzhen in China. Agriculture is still the pillar of national economies in many countries including China. Thus, agriculture contributes to population growth. Population growth follows either exponential or logistic growth models. These models can be exami...

Questions

Question (1)
Question
buildup area, impervious area and urban area seem to be similar.

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