A5031584858- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Urban Green Space and Health
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and Land Use
- Cryospheric studies and observations
- Atmospheric aerosols and clouds
- Remote-Sensing Image Classification
- Tree-ring climate responses
- Species Distribution and Climate Change
- Forest ecology and management
- Impact of Light on Environment and Health
- Environmental and Agricultural Sciences
- Climate variability and models
- Fire effects on ecosystems
- Advanced Image Fusion Techniques
- Satellite Image Processing and Photogrammetry
- Inertial Sensor and Navigation
- Genetic Associations and Epidemiology
- Cancer-related gene regulation
- Calibration and Measurement Techniques
Shanghai Jiao Tong University
2006-2025
Shanghai Children's Medical Center
2025
University of Hong Kong
2020-2024
Aerospace Information Research Institute
2020-2023
Laboratoire des Sciences du Climat et de l'Environnement
2020-2023
Chinese Academy of Sciences
2006-2023
State Key Laboratory of Remote Sensing Science
2015-2023
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2020-2021
Université de Versailles Saint-Quentin-en-Yvelines
2020-2021
Centre National de la Recherche Scientifique
2020-2021
Abstract The United Nations specified the need for “providing universal access to greenspace urban residents” in 11th Sustainable Development Goal. Yet, how far we are from this goal remains unclear. Here, develop a methodology incorporating fine-resolution population and mappings use results 2020 elucidate global differences human exposure greenspace. We identify contrasting difference of between Global South North cities. cities experience only one third level Greenspace inequality (Gini:...
Greenspace plays a crucial role in urban ecosystems and has been recognized as key factor promoting sustainable healthy city development. Recent studies have revealed growing concern about greenspace exposure inequality; however, the extent to which urbanization affects human associated inequalities over time remains unclear. Here, we incorporate Landsat-based 30-meter time-series mapping population-weighted framework quantify changes equality (rather than equity) for 1028 global cities from...
Abstract. Accurate, detailed, and up-to-date information on cropland extent is crucial for provisioning food security environmental sustainability. However, because of the complexity agricultural landscapes lack sufficient training samples, it remains challenging to monitor dynamics at high spatial temporal resolutions across large geographical extents, especially regions where land use changing dramatically. Here we developed a cost-effective annual mapping framework that integrated...
Maturity-onset diabetes of the young (MODY) is a form non-insulin-dependent mellitus characterized by an early age onset, usually before 25 years age, and autosomal dominant mode inheritance. The largest best-studied MODY pedigree RW family. majority diabetic subjects in this has reduced delayed insulin-secretory response to glucose, it been proposed that abnormal manifestation basic genetic defect leads diabetes. Using DNA from members family, we tested more than 75 markers for linkage with...
Greenspace exposure metrics can allow for comparisons of green space supply across time, space, and population groups, inferring patterns variation in opportunities people to enjoy the health recreational benefits nearby environments. A better understanding greenspace differences various spatial scales is a critical requirement lessening environmental disparities. However, existing studies are typically limited single city or selected cities, which severely limits use results measuring...
Heterogeneous terrain significantly complicates signals received by airborne or satellite sensors. It has been demonstrated that both solar direct beam and diffuse skylight illumination conditions are significant factors influencing the anisotropy of reflectance over mountainous areas. Several models methods have developed to account for topographic effects on surface at pixel level in remote sensing. However, subtopographic generally neglected low-spatial-resolution pixels due complex law...
Sloping terrain induces distortion of canopy reflectance (CR), and the retrieval biophysical variables from remote sensing data needs to account for topographic effects. We developed a 1-D model (the path length correction (PLC)based model) simulating CR over sloping terrain. The effects on single-order diffuse scatterings are accounted by PLC modification fraction incoming irradiance, respectively. was validated via both Monte Carlo image simulations. comparison with simulation revealed...
Relationships among productivity, leaf phenology, and seasonal variation in moisture light availability are poorly understood for evergreen broadleaved tropical/subtropical forests, which contribute 25% of terrestrial productivity. On the one hand, as declines, trees shed leaves to reduce transpiration risk hydraulic failure. other increases promote replacement senescent increase Here, we provide a comprehensive framework that relates seasonality climate, abscission, productivity across...
Abstract The ongoing war in Ukraine has seriously impacted the agricultural sector, yet its exact effects on production are not well understood. Here we combine satellite imagery, machine learning, and statistical regression approaches to present a spatially detailed assessment of losses for five high-risk provinces eastern (Crimea, Donets’k, Kherson, Luhans’k, Zaporizhzhya). Our findings indicated that approximately 18.11 ± 2.47% croplands were left unplanted following war. Among cultivated...
Topography complicates the modeling and retrieval of land surface albedo due to shadow effects redistribution incident radiation. Neglecting topographic may lead a significant bias when estimating over single slope. However, for rugged terrain, comprehensive systematic investigation on is currently ongoing. Accurately terrain presents challenge in remote sensing applications. In this paper, we focused development simplified estimation method snow-free at 1-km scale based 30-m fine-scale...
Leaf trait relationships are widely used to predict ecosystem function in terrestrial biosphere models (TBMs), which leaf maximum carboxylation capacity (Vc,max ), an important for modelling photosynthesis, can be inferred from other easier-to-measure traits. However, whether trait-Vc,max robust across different forest types remains unclear. Here we measurements of traits, including one morphological (leaf mass per area), three biochemical traits water content, area-based nitrogen and...