A5009511042- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Conservation, Biodiversity, and Resource Management
- Remote Sensing and Land Use
- Species Distribution and Climate Change
- Environmental Impact and Sustainability
- Vehicle emissions and performance
- Rangeland Management and Livestock Ecology
- Environmental Changes in China
- Soil erosion and sediment transport
- Urban Transport and Accessibility
- Energy, Environment, and Transportation Policies
- Electric Vehicles and Infrastructure
- Impact of Light on Environment and Health
- Forest Management and Policy
- Forest ecology and management
- Energy, Environment, Economic Growth
- Hydrology and Watershed Management Studies
- Urban Heat Island Mitigation
- Climate Change Policy and Economics
- Transportation Planning and Optimization
- Hydrocarbon exploration and reservoir analysis
- Air Quality and Health Impacts
- Geochemistry and Elemental Analysis
Harbin Institute of Technology
2020-2025
Aerospace Information Research Institute
2020-2025
Chinese Academy of Sciences
2016-2025
State Key Laboratory of Remote Sensing Science
2008-2025
University of Chinese Academy of Sciences
2017-2025
Northeast Normal University
2025
Microbiology Institute of Shaanxi
2024
Czech Academy of Sciences, Institute of Microbiology
2024
NOAA National Data Buoy Center
2024
Tianjin University
2017-2024
In response to ecosystem degradation from rapid economic development, China began investing heavily in protecting and restoring natural capital starting 2000. We report on China's first national assessment (2000-2010), designed quantify help manage change services, including food production, carbon sequestration, soil retention, sandstorm prevention, water flood mitigation, provision of habitat for biodiversity. Overall, services improved 2000 2010, apart provision. conservation policies...
As one of the key tools for regulating human-ecosystem relations, environmental conservation policies can promote ecological rehabilitation across a variety spatiotemporal scales. However, quantifying effects such at regional level is difficult. A case study was conducted in ecologically vulnerable region Loess Plateau, China, through use several methods including Universal Soil Loss Equation (USLE), hydrological modeling and multivariate analysis. An assessment changes over period 2000–2008...
Restoring disturbed and over-exploited ecosystems is important to mitigate human pressures on natural ecosystems. China has launched an ambitious national ecosystem restoration program called Grain Green Program (GTGP) over the last decade. By using remote sensing techniques modelling, we quantitatively evaluated changes in carbon sequestration since China's GTGP during period of 2000–2008. It was found NPP NEP this region had steadily increased after initiative a total 96.1 Tg additional...
Abstract Humans benefit from multiple ecosystem services of wetlands, but massive wetland loss has occurred worldwide due to rapid urbanization. To assess the problem, it is necessary quantify spatial extent urbanization‐induced loss. Here, we investigated amount and pattern in China urbanization 1990 2010, based on National Land Cover Database (ChinaCover). Our results show that, during these 20 years, lost 2,883 km 2 wetlands urban expansion, which about 2,394 took place eastern regions...
Ecological conservation and restoration are necessary to mitigate environmental degradation problems. China has taken great efforts in such actions. To understand the ecological transition during 2000-2010 China, this study analysed trends vegetation change using remote sensing linear regression. Climate socioeconomic factors were included screen driving forces for correlation or comparative analyses. Our results indicated that experienced both greening (restoration) browning (degradation)...
To counter their widespread loss, global aspirations are for no net loss of remaining wetlands [1Conservation FoundationProtecting America's Wetlands: An Action Agenda: The Final Report the National Wetlands Policy Forum. Conservation Foundation, 1988Google Scholar]. We examine whether this goal alone is sufficient managing China's wetlands, they constitute 10% world's total. Analyzing wetland changes between 2000 and 2015 using 30-m-resolution satellite images, we show that expanded by...
Abstract Quantified information on land degradation and restoration is needed to support policies for sustainable ecosystem management socioeconomic development. The arid semiarid zones of China (ASZC) have experienced significant degradation, in response such multiple ecological projects were implemented. In this study, remote sensing was used identify degrading areas where the degraded been restored from 1990 ecologically sensitive region. Specifically, we integrated datasets ChinaCover...
Linear spectral mixture analysis (SMA) is commonly used to infer fractional vegetation cover (FVC), especially for pixel dichotomy models. However, several sources of uncertainty including normalized difference index (NDVI) saturation and selection endmembers inhibit the effectiveness SMA estimation FVC. In this study, Moderate-resolution Imaging Spectroradiometer (MODIS) Landsat 8/Operational Land Imager (OLI) remote sensing data early growing season in situ measurement reflectance are...
Abstract Extensive ephemeral wetlands at Poyang Lake, created by dramatic seasonal changes in water level, constitute the main wintering site for migratory Anatidae China. Reductions wetland area during last 15 years have led to proposals build a Dam retain high winter levels within lake. Changing natural hydrological system will affect waterbirds dependent on level food availability and accessibility. We tracked two goose species with different feeding behaviors (greater white‐fronted geese...
Functional diversity (FD) provides a link between biodiversity and ecosystem functioning, summarizing inter- intra-specific variation of functional traits. However, quantifying plant traits FD consistently cost-effectively across large heterogeneous forest areas is challenging with traditional field sampling. Airborne light detection ranging (LiDAR) imaging spectroscopy provide spatially explicit data, which allow mapping selected at different spatial scales. We develop an individual...
To achieve the Sustainable Development Goals (SDGs), high-quality data are needed to inform formulation of policies and investment decisions, monitor progress towards SDGs evaluate impacts policies. However, landscape is changing. With emerging big cloud-based services, there new opportunities for collection, influencing both official collection processes operation programmes they monitor. This paper uses cases examples explore potential crowdsourcing public earth observation (EO) products...