A5100364241- Land Use and Ecosystem Services
- Marine and fisheries research
- Remote Sensing in Agriculture
- Marine Bivalve and Aquaculture Studies
- Remote Sensing and Land Use
- Urban Green Space and Health
- Geological and Geophysical Studies
- Geological and Geochemical Analysis
- Marine and coastal ecosystems
- Environmental Changes in China
- Housing Market and Economics
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Remote Sensing and LiDAR Applications
- Conservation, Biodiversity, and Resource Management
- Plant Water Relations and Carbon Dynamics
- Coastal and Marine Management
- Food Industry and Aquatic Biology
- Coastal wetland ecosystem dynamics
- Economic and Environmental Valuation
- Forest, Soil, and Plant Ecology in China
- Flood Risk Assessment and Management
- Energy, Environment, Economic Growth
- Smart Agriculture and AI
- Ecology and Vegetation Dynamics Studies
Ministry of Natural Resources
2021-2024
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2021-2024
Chang'an University
2023-2024
Land Consolidation and Rehabilitation Center
2023-2024
Northeast Institute of Geography and Agroecology
2021-2024
Chinese Academy of Sciences
2018-2024
Nanjing University
2021-2024
University of Chinese Academy of Sciences
2021-2024
Inner Mongolia Agricultural University
2024
South China Normal University
2023-2024
This study explored the past and present land-use/land-cover (LULC) changes urban expansion pattern for cities of Kathmandu valley their surroundings using Landsat satellite images from 1988 to 2016. For a better analysis, LULC change information was grouped into seven time-periods (1988–1992, 1992–1996, 1996–2000, 2000–2004, 2004–2008, 2008–2013, 2013–2016). The classification conducted support vector machines (SVM) technique. A hybrid simulation model that combined Markov-Chain Cellular...
The imbalance of natural, social, and economic systems has engendered a multitude environmental challenges, resulting in the increasingly vulnerable ecological environments. To mitigate adverse effects external disturbances on ecosystems, vulnerability assessment (EVA) emerged as pivotal research domain science. Therefore, EVA Loess Plateau from 2000 to 2020 was conducted, utilizing sensitivity-resilience-pressure (SRP) model based zoning, identifying its driving factors. findings revealed...
Urban forests can absorb carbon dioxide for urban CO2 emission mitigation. However, the potential capacity of forest sequestration (CS) and its drivers remain unclear in agglomerations under rapid urbanization. In our study, net primary productivity (NPP) built-up areas was reconstructed Harbin-Changchun agglomeration (HCUA) from 2000 to 2020 reflect CS, spatial CS patterns were further explored using Geodetector model. Our results showed that HCUA has experienced urbanization over past 20...
Understanding the tectonics that gave rise to formation of Tibet is critical our understanding crustal deformation processes. The unusual geomorphology drainage basins East Asia's major rivers has been proposed be result either (1) distortion and attenuation antecedent drainages as India indents into Asia, which can therefore used passive strain markers horizontal shear, or (2) due fragmentation by river captures flow reversals an originally continental-scale drainage, in Asian once flowed...
Sustainable urban development is one of the most urgent problems worldwide, especially in China, which rapid urbanization. Reducing negative impacts urbanization and improving relationship between two have become research priorities. Using 260 cities China as object, this study evaluated level temporal spatial variation natural ecosystem health, explored relationships them, influence mechanism on health. The results showed that population urbanization, social economic land was significantly...
Wetlands in the arid zone of northwest China have ecological values such as climate regulation, water conservation, and biodiversity maintenance. However, context global warming economic development, degree natural human interference wetlands has been increasing, wetland health problems are becoming increasingly severe. The current comparative research on ecosystem evaluation constructed their sustainable development is not perfect, so we selected (Dunhuang Xihu Wetland) (Suzhou District...
Satellite image time series classification has become a research focus with the launch of new remote sensing sensors capable capturing images high spatial, spectral, and temporal resolutions. In particular, in field crop classification, dimension information is particularly important. Although some advanced machine learning algorithms, such as random forests (RFs), can achieve good results, they often ignore information. To make full use spectral multitemporal images, channel attention-based...
Abstract Urban parks are an important part of urban ecosystems and play role in biodiversity conservation. However, it is still unclear how park characteristics affect plant diversity which could hinder the conservation due to ineffective design parks. The woody plants 33 Changchun, China, was measured with plot measurements linked (e.g., size age park) uncover relationship between them. results show that species were abundant, 98 belonging 51 genera 26 families snow climate city Changchun....
Coastal eutrophication has become a persistent environmental crisis around world driven by human activities and climate change. Nowadays, frequent intense tropical typhoon disturbances strongly affected the distribution composition of nutrients in land-ocean interface, resulting risk coastal water. However, mechanistic links between land-based sources transport have not been well understood due to complex processes. In this study, nutrient concentration, flux three estuaries one sewage...
Water detection from Synthetic Aperture Radar (SAR) images has been widely utilized in various applications. However, it remains an open challenge due to the high similarity between water and shadow SAR images. To address this challenge, a new end-to-end framework based on deep learning proposed automatically classify areas This is mainly composed of three parts, namely, Multi-scale Spatial Feature (MSF) extraction, Multi-Level Selective Attention Network (MLSAN) Improvement Strategy (IS)....