Zheng Niu
Biographic Data
| ID | 6309521 |
|---|---|
| NAME | Zheng Niu |
| GIVEN NAMES | Zheng |
| FAMILY NAME | Niu |
| SIGNATURE | NIU Z |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0001-5959-9351 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 20 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Integrating panoptic-AI and multi-source observations for daytime dynamic CO2 increment prediction in urban traffic networks
Unmanaged naturally regenerating forests approach intact forest canopy structure but are susceptible to climate and human stress
Maintaining newly re-established forests is an important policy and challenge for ecosystem restoration and climate-change mitigation. However, a global assessment of canopy structure in regenerating forests under different management and whether they are developing toward that of intact forests is lacking, impeding the understanding of their roles in carbon cycling and biodiversity recovery. Here we present the first near-global assessment of re…
Understanding the effects of urban perceptions on housing rent using big data and machine learning
Urban perceptions are related to residents’ subjective well-being, activities, settlement choice, and physical and mental health, which are vital for promoting sustainable community development. Landsenses ecology proposes the concepts of physical and psychological perceptions to measure the interaction between humans and the urban environment. However, such perceptions and their quantitative relationships with housing rental prices (HRPs) are st…
Human fingerprint on structural density of forests globally
Operation Status Comparison Monitoring of China’s Southeast Asian Industrial Parks before and after Covid-19 Using Nighttime Lights Data
COVID-19 has had a huge impact on many industries around the world. Internationally-funded enterprises have been greatly affected by COVID-19 prevention and control measures, such as border controls. However, few studies have examined the impact of COVID-19 on internationally-funded enterprises. To this end, this paper considered 12 of China’s industrial parks situated in Southeast Asia, while comparing the operation status before and after the o…
Spatial and Temporal Pattern of Net Ecosystem Productivity in China and Its Response to Climate Change in the Past 40 Years
Net ecosystem productivity (NEP), which is considered an important indicator to measure the carbon source/sink size of ecosystems on a regional scale, has been widely studied in recent years. Since China's terrestrial NEP plays an important role in the global carbon cycle, it is of great significance to systematically examine its spatiotemporal pattern and driving factors. Based on China's terrestrial NEP products estimated by a data-driven model…
Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process
Land use and land cover change (LULCC) has directly played an important role in the observed climate change. In this paper, we considered Dujiangyan City and its environs (DCEN) to study the future scenario in the years 2025, 2030, and 2040 based on the 2018 simulation results from 2007 and 2018 LULC maps. This study evaluates the spatial and temporal variations of future LULCC, including the future potential landscape risk (FPLR) area of the 200…
Combining HJ CCD, GF-1 WFV and Modis Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring
The limitations of satellite data acquisition mean that there is a lack of satellite data with high spatial and temporal resolutions for environmental process monitoring. In this study, we address this problem by applying the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and the Spatial and Temporal Data Fusion Approach (STDFA) to combine Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide fi…
Estimating Summer Precipitation Over the Tibetan Plateau With Geostatistics and Remote Sensing
Although precipitation is important to climatology, hydrology, and agricultural research, the spatial pattern of precipitation over the Tibetan Plateau is difficult to determine because of complex surface conditions and a sparse rain gauge network. In the present article, a method we named FETCH_OCK—based on a combination of Yin et al's Fetch method (2008) and ordinary cokriging (OCK)—is proposed; it was used to estimate monthly summer precipitat…
Grassland Classification in Naqu Prefecture of Tibet
Land Degradation Evaluation in North Hebei Province Based on Remote Sensing and GIS
Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS
Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS
Land Degradation Evaluation in North Hebei Province Based on Remote Sensing and GIS
Grassland Classification in Naqu Prefecture of Tibet
Estimating Summer Precipitation Over the Tibetan Plateau With Geostatistics and Remote Sensing
Although precipitation is important to climatology, hydrology, and agricultural research, the spatial pattern of precipitation over the Tibetan Plateau is difficult to determine because of complex surface conditions and a sparse rain gauge network. In the present article, a method we named FETCH_OCK—based on a combination of Yin et al's Fetch method (2008) and ordinary cokriging (OCK)—is proposed; it was used to estimate monthly summer precipitat…
Combining HJ CCD, GF-1 WFV and Modis Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring
The limitations of satellite data acquisition mean that there is a lack of satellite data with high spatial and temporal resolutions for environmental process monitoring. In this study, we address this problem by applying the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and the Spatial and Temporal Data Fusion Approach (STDFA) to combine Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide fi…
Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process
Land use and land cover change (LULCC) has directly played an important role in the observed climate change. In this paper, we considered Dujiangyan City and its environs (DCEN) to study the future scenario in the years 2025, 2030, and 2040 based on the 2018 simulation results from 2007 and 2018 LULC maps. This study evaluates the spatial and temporal variations of future LULCC, including the future potential landscape risk (FPLR) area of the 200…
Operation Status Comparison Monitoring of China’s Southeast Asian Industrial Parks before and after Covid-19 Using Nighttime Lights Data
COVID-19 has had a huge impact on many industries around the world. Internationally-funded enterprises have been greatly affected by COVID-19 prevention and control measures, such as border controls. However, few studies have examined the impact of COVID-19 on internationally-funded enterprises. To this end, this paper considered 12 of China’s industrial parks situated in Southeast Asia, while comparing the operation status before and after the o…
Spatial and Temporal Pattern of Net Ecosystem Productivity in China and Its Response to Climate Change in the Past 40 Years
Net ecosystem productivity (NEP), which is considered an important indicator to measure the carbon source/sink size of ecosystems on a regional scale, has been widely studied in recent years. Since China's terrestrial NEP plays an important role in the global carbon cycle, it is of great significance to systematically examine its spatiotemporal pattern and driving factors. Based on China's terrestrial NEP products estimated by a data-driven model…
Understanding the effects of urban perceptions on housing rent using big data and machine learning
Urban perceptions are related to residents’ subjective well-being, activities, settlement choice, and physical and mental health, which are vital for promoting sustainable community development. Landsenses ecology proposes the concepts of physical and psychological perceptions to measure the interaction between humans and the urban environment. However, such perceptions and their quantitative relationships with housing rental prices (HRPs) are st…
Human fingerprint on structural density of forests globally
Unmanaged naturally regenerating forests approach intact forest canopy structure but are susceptible to climate and human stress
Maintaining newly re-established forests is an important policy and challenge for ecosystem restoration and climate-change mitigation. However, a global assessment of canopy structure in regenerating forests under different management and whether they are developing toward that of intact forests is lacking, impeding the understanding of their roles in carbon cycling and biodiversity recovery. Here we present the first near-global assessment of re…
Integrating panoptic-AI and multi-source observations for daytime dynamic CO2 increment prediction in urban traffic networks
Geography (10 works) · Environmental Science (9 works) · Computer Science (6 works) · Land Use and Ecosystem Services (6 works) · China (5 works) · Remote Sensing and Land Use (5 works) · Artificial Intelligence (4 works) · Physical geography (4 works) · Biology (3 works) · Ecology (3 works)