A5059087343- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Soil erosion and sediment transport
- Hydrology and Sediment Transport Processes
- Flood Risk Assessment and Management
- Advanced Image Fusion Techniques
- Climate change impacts on agriculture
- Remote-Sensing Image Classification
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Contact Dermatitis and Allergies
- Urban Heat Island Mitigation
- Soil Moisture and Remote Sensing
- Effects of Environmental Stressors on Livestock
- Allergic Rhinitis and Sensitization
- Aeolian processes and effects
- Food Allergy and Anaphylaxis Research
- Agriculture Sustainability and Environmental Impact
- Cryospheric studies and observations
- Geophysical Methods and Applications
- Species Distribution and Climate Change
- Research Data Management Practices
- Oil Palm Production and Sustainability
- Distributed systems and fault tolerance
- Wood and Agarwood Research
University of Minnesota
2021-2024
State Key Laboratory of Remote Sensing Science
2020-2022
Beijing Normal University
2019-2022
Peking Union Medical College Hospital
2014-2022
Chinese Academy of Medical Sciences & Peking Union Medical College
2014-2022
Google (United States)
2020
Fujian Normal University
2014
Spatiotemporal data fusion, as a feasible and low-cost solution for producing time-series satellite images with both high spatial temporal resolution, has undergone rapid development over the past two decades more than one hundred spatiotemporal fusion methods developed. Accuracy assessment of fused is crucial users to select appropriate real-world applications. However, commonly used metrics do not comprehensively cover multiple aspects image quality, contain redundant information, are...
High spatiotemporal resolution normalized difference vegetation index (NDVI) time-series imagery is required for monitoring dynamics with dense observations and spatial details, in recent years, many data fusion methods have been proposed to fulfill this need. However, strict requirements inappropriate modeling strategies often limit their performance, particularly under poor conditions of available input data. In study, we a Spatiotemporal method Simultaneously generate Full-length Index...
Abstract Understanding the mechanisms controlling downstream water‐level variations after operation of Three Gorges Dam is important for riverine flood and drought management. However, our quantitative understanding multiple controls river morphology, vegetation, floodplain resistance on water levels in Middle Yangtze River (MYR) remains limited. Here, we analyze changes channels MYR using 450 cross‐sectional profiles as well data discharge, levels, sediment, satellite images from 2003 to...
Cashews are grown by over 3 million smallholders in more than 40 countries worldwide as a principal source of income. As the third largest cashew producer Africa, Benin has nearly 200,000 smallholder growers contributing 15% country's national export earnings. However, lack information on where and how trees grow across country hinders decision-making that could support increased production poverty alleviation. By leveraging 2.4-m Planet Basemaps 0.5-m aerial imagery, newly developed deep...
Abstract The soil surface wind friction velocity ( u s * ) is an essential parameter for predicting sediment transport on rough surfaces. However, this difficult and time‐consuming to obtain over large areas due its spatiotemporal heterogeneity. albedo‐based approach calibrates normalized shadow retrieved from any source of albedo data with laboratory measurements aerodynamic properties. This enables direct cross‐scale retrieval but has not been evaluated against field different cover types....
The ongoing and increasing interest in HTAP (Hybrid Transactional Analytical Processing) systems documents the intense from data owners simultaneously running transactional analytical workloads over same set. Much of reported work on has arisen context "greenfield" systems, answering question "if we could design a system for scratch, what would it look like?" While there is great merit such an approach, lot valuable technology been developed with it, found ourselves facing different...
Abstract Dunes are important for bedload transport in almost all large river systems and exert an control flow resistance. Investigating dunes is fundamental simulating discharge, sediment transport, flood routing. However, the spatiotemporal dynamics of resistance remain poorly understood alluvial mainly due to lack high‐resolution data. Here we analyzed in‐field observed data on annual profiles 450 cross‐sections, bathymetry, water levels, Middle Yangtze River, found that developed...
Abstract Damming profoundly affects downstream flow‐sediment regimes, altering channel bar dynamics and thereby affecting floods riverine biodiversity. Here, we investigate the response of bars to upstream damming by examining patterns, mechanisms, impacts in Middle Yangtze River (∼1,000 km). Over a decade post‐damming observational data reveal substantial increases revegetation Leaf Area Index. Shorter flood duration stable size collectively drive greening. Consequently, denser vegetation...
Abstract Climate warming affects global livestock productivity. The meat yield from cattle farming (cattle per animal) represents productivity at the individual level. However, impact of on a scale is not well understood. In this study, we combine country-level data annual and socioeconomic 1961 to 2020 with climate projections General Circulation Models. findings show that increases as temperatures rise low medium then decreases when average exceed 7 °C; repose pronounced in grassland-based...
Investigating river bars and their vegetation dynamics in response to upstream damming is important for riverine flood management ecological assessment. However, our mechanical understanding of the damming-induced changes bar vegetation, such as area, morphology, leaf area index (LAI), remains limited large systems. Leveraging satellite images situ observed hydrogeomorphic data from, we improve a machine learning-based LAI inversion model quantify variations distribution, Middle Yangtze...
High spatial resolution images have been widely applied to the monitoring of land surfaces during past decades. However, satellite and unmanned aerial vehicle (UAV) sensors (e.g., IKONOS, QuickBird) usually only provide visible near-infrared spectral bands with a high resolution. Such limited at are not adequate for crucial environmental agricultural studies that require essential red-edge (RE) short-wave infrared (SWIR)), such as cover classification estimation plant physiological...
A novel delayed anaphylactic reaction to red meat, associated with tick bites and IgE antibodies against galactose-α-1, 3-galactose (α-gal), was reported in 2009 the US, Australia Europe. In this case, serum specific (>100 kU/L) multiple non-primate mammalian proteins were positive. However, pathogenesis of disease remains unclear. We report first case Asia which induced by from hard tick, Hematophagous ixodidae. confirmed increased concentration reactive epitopes organs, may be rich α-gal...
The belowground root zone of influence (ZOI) is fundamental to the study root–root and root–soil interaction mechanisms plants vital for understanding changes in plant community compositions ecosystem processes. However, traditional research methods have a limited capacity measure actual ZOIs within communities without destroying them process. This has developed new approach determining natural communities. First, ground-penetrating radar (GPR), non-invasive near-surface geophysical tool,...
ABSTRACT Crop rotation has been widely used to enhance crop yields and mitigate adverse climate impacts. The existing research predominantly focuses on the impacts of under growing season (GS) climates, neglecting influences non‐GS (NGS) climates agroecosystems. This oversight limits our understanding comprehensive climatic and, consequently, ability devise effective adaptation strategies in response warming. In this study, we examine both GS NGS conditions yield effect preceding...
The study aims to investigate fungal community structures and dynamic changes in forest soil lignocellulose-degrading process. rRNA gene clone libraries for the samples collected different stages of lignocellulose degradation process were constructed analyzed. A total 26 representative RFLP types obtained from original library, including Mucoromycotina (29.5%), unclassified Zygomycetes (33.5%), Ascomycota (32.4%), Basidiomycota (4.6%). When accumulated with natural lignocellulose, 16...
The freeze/thaw (F/T) state of the soil is an essential indicator for permafrost monitoring. However, current F/T products with a coarse spatial resolution (>1 km) have limited their use on fine scale. In this letter, new approach integrating two microwave sensors [i.e., Sentinel-1 and advanced scanning radiometer 2 (AMSR-2)] developed to identify at 10 m in Qinghai-Tibet engineering corridor (QTEC). Using linear regression model integrate AMSR-2 data finer Moderate Resolution Imaging...