Lizhe Wang
Biographic Data
| ID | 7934319 |
|---|---|
| NAME | Lizhe Wang |
| GIVEN NAMES | Lizhe |
| FAMILY NAME | Wang |
| SIGNATURE | WANG L |
| AFFILIATIONS | China University of Geosciences |
| ORCID | 0000-0003-2766-0845 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Monitoring changes in nighttime lights and anthropogenic CO2 emissions during geopolitical conflicts from a remote sensing perspective
Monitoring spatiotemporal changes in anthropogenic CO 2 is crucial for informing international climate change policy initiatives, but also challenging due to the absence of national inventories and statistical data during such conflicts. Currently, nighttime light (NTL) remote sensing data is often used for spatial disaggregation of CO 2 emission statistics, while the construction of existing anthropogenic CO 2 emission datasets relies on ground …
Prediction of changes in war-induced population and CO2 emissions in Ukraine using social media
Monitoring the changes in population and anthropogenic CO 2 emissions caused by geopolitical conflicts is significant for humanitarian assistance and also for revealing the CO 2 emission patterns of human activities. However, the changes in population and anthropogenic CO 2 emissions are highly dynamic, and representative survey data are generally unavailable. We monitor the near-real-time and fine-grained changes in war-induced population and an…
Risk assessment of flood disasters in the Poyang lake area
Characterizing urban densification and quantifying its effects on urban thermal environments and human thermal comfort
Understanding the Dynamic Mechanism of Urban Land Use and Population Distribution Evolution from a Microscopic Perspective
With the advancement of urbanization, the contradiction in the man–land relationship becomes more and more difficult to ignore. Investigation of the change in urban land use, population distribution and its mechanism can provide powerful assistance for urban planning. Since the changes in urban land use and population distribution is a complex process with spatial heterogeneity, the current methods for describing them are still lacking in both in…
Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning
Catastrophic landslides have much more frequently occurred worldwide due to increasing extreme rainfall events and intensified human engineering activity. Landslide susceptibility evaluation (LSE) is a vital and effective technique for the prevention and control of disastrous landslides. Moreover, about 80% of disastrous landslides had not been discovered ahead and significantly impeded social and economic sustainability development. However, the…
A Study of Diffusion Equation-Based Land-Use/Land-Cover Change Simulation
Simulating and predicting the development and changes in urban land change can provide valuable references for the sustainable development of cities. However, the change process of urban land-use/land-cover is a complex process involving multiple factors and multiple relationships. This dilemma makes it very challenging to accurately simulate the results and to make predictions. In response to this problem, we started with the physical characteri…
Efficient IoT Data Management for Geological Disasters Based on Big Data-Turbocharged Data Lake Architecture
Multi-source Internet of Things (IoT) data, archived in institutions’ repositories, are becoming more and more widely open-sourced to make them publicly accessed by scientists, developers, and decision makers via web services to promote researches on geohazards prevention. In this paper, we design and implement a big data-turbocharged system for effective IoT data management following the data lake architecture. We first propose a multi-threading…
An Analysis of the Work Resumption in China under the Covid-19 Epidemic Based on Night Time Lights Data
Public emergencies often have an impact on the production and operation of enterprises. Timely and effective quantitative measurement of enterprises’ offline resumption of work after public emergencies is conducive to the formulation and implementation of relevant policies. In this study, we analyze the level of work resumption after the coronavirus disease 2019 (COVID-19)-influenced Chinese Spring Festival in 2020 with night time lights remote s…
No prominent works on this page.
A Study of Diffusion Equation-Based Land-Use/Land-Cover Change Simulation
Simulating and predicting the development and changes in urban land change can provide valuable references for the sustainable development of cities. However, the change process of urban land-use/land-cover is a complex process involving multiple factors and multiple relationships. This dilemma makes it very challenging to accurately simulate the results and to make predictions. In response to this problem, we started with the physical characteri…
Efficient IoT Data Management for Geological Disasters Based on Big Data-Turbocharged Data Lake Architecture
Multi-source Internet of Things (IoT) data, archived in institutions’ repositories, are becoming more and more widely open-sourced to make them publicly accessed by scientists, developers, and decision makers via web services to promote researches on geohazards prevention. In this paper, we design and implement a big data-turbocharged system for effective IoT data management following the data lake architecture. We first propose a multi-threading…
An Analysis of the Work Resumption in China under the Covid-19 Epidemic Based on Night Time Lights Data
Public emergencies often have an impact on the production and operation of enterprises. Timely and effective quantitative measurement of enterprises’ offline resumption of work after public emergencies is conducive to the formulation and implementation of relevant policies. In this study, we analyze the level of work resumption after the coronavirus disease 2019 (COVID-19)-influenced Chinese Spring Festival in 2020 with night time lights remote s…
Understanding the Dynamic Mechanism of Urban Land Use and Population Distribution Evolution from a Microscopic Perspective
With the advancement of urbanization, the contradiction in the man–land relationship becomes more and more difficult to ignore. Investigation of the change in urban land use, population distribution and its mechanism can provide powerful assistance for urban planning. Since the changes in urban land use and population distribution is a complex process with spatial heterogeneity, the current methods for describing them are still lacking in both in…
Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning
Catastrophic landslides have much more frequently occurred worldwide due to increasing extreme rainfall events and intensified human engineering activity. Landslide susceptibility evaluation (LSE) is a vital and effective technique for the prevention and control of disastrous landslides. Moreover, about 80% of disastrous landslides had not been discovered ahead and significantly impeded social and economic sustainability development. However, the…
Characterizing urban densification and quantifying its effects on urban thermal environments and human thermal comfort
Prediction of changes in war-induced population and CO2 emissions in Ukraine using social media
Monitoring the changes in population and anthropogenic CO 2 emissions caused by geopolitical conflicts is significant for humanitarian assistance and also for revealing the CO 2 emission patterns of human activities. However, the changes in population and anthropogenic CO 2 emissions are highly dynamic, and representative survey data are generally unavailable. We monitor the near-real-time and fine-grained changes in war-induced population and an…
Risk assessment of flood disasters in the Poyang lake area
Monitoring changes in nighttime lights and anthropogenic CO2 emissions during geopolitical conflicts from a remote sensing perspective
Monitoring spatiotemporal changes in anthropogenic CO 2 is crucial for informing international climate change policy initiatives, but also challenging due to the absence of national inventories and statistical data during such conflicts. Currently, nighttime light (NTL) remote sensing data is often used for spatial disaggregation of CO 2 emission statistics, while the construction of existing anthropogenic CO 2 emission datasets relies on ground …
Computer Science (6 works) · Geography (6 works) · Environmental Science (5 works) · Ecology (3 works) · Engineering (3 works) · Impact of Light on Environment and Health (3 works) · Land Use and Ecosystem Services (3 works) · Urban Heat Island Mitigation (3 works) · Air Quality and Health Impacts (2 works) · Civil engineering (2 works)