A5048791595- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Hydrology and Watershed Management Studies
- Urban Heat Island Mitigation
- Environmental and Agricultural Sciences
- Soil Geostatistics and Mapping
- Leaf Properties and Growth Measurement
- Hydrology and Drought Analysis
- Remote Sensing and LiDAR Applications
- Climate variability and models
- Hydrological Forecasting Using AI
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and Land Use
- Environmental Changes in China
- Smart Agriculture and AI
- China's Socioeconomic Reforms and Governance
- Flood Risk Assessment and Management
- Fuzzy Systems and Optimization
- Urban Green Space and Health
- Impact of Light on Environment and Health
- Water Quality Monitoring and Analysis
- Cryospheric studies and observations
- Greenhouse Technology and Climate Control
- Climate change impacts on agriculture
- Soil and Land Suitability Analysis
Institute of Zoology
2024
Minnesota State University, Mankato
2013-2023
Hohai University
2007-2022
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2012-2022
Minnesota State Colleges and Universities System
2005-2019
Beijing Normal University
2008-2016
Chinese Academy of Sciences
2005-2016
Shandong Institute of Automation
2016
China Agricultural University
2015
Sun Yat-sen University
2011-2014
Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and environmental studies. Due to rapid advances unmanned aerial vehicle (UAV) sensor technologies, UAV-based remote sensing emerging as promising solution for monitoring crop LAI with great flexibility applicability. This study aimed determine the feasibility combining color texture information derived from digital images estimating rice (Oryza sativa L.). Rice field trials were conducted at two sites using...
One data aggregation method in a wireless sensor network (WSN) is sending local representative to the sink node based on spatial-correlation of sampled data. In this paper, we highlight problem that recent spatial correlation models nodes' are not appropriate for measuring complex environment. addition, inaccurate when compared with real Thus, propose density degree, which necessary resolve problem. The proposed degree measurement measures between node's and its neighboring Based (DDCD)...
Rice farming in Northeast China is crucially important for China’s food security and sustainable development. A key challenge how to optimize nitrogen (N) management ensure high yield production while improving N use efficiency protecting the environment. Handheld chlorophyll meter (CM) active crop canopy sensors have been used improve rice this region. However, these technologies are still time consuming large-scale applications. Satellite remote sensing provides a promising technology...
Accurate high-resolution yield maps are essential for identifying spatial variability patterns, determining key factors influencing variability, and providing site-specific management insights in precision agriculture. Cultivar differences can significantly influence potato (Solanum tuberosum L.) tuber prediction using remote sensing technologies. The objective of this study was to improve unmanned aerial vehicle (UAV) by incorporating cultivar information with machine learning methods....
Land use and land-cover (LULC) data provide essential information for environmental management planning. This research evaluates the change dynamics their effects Greater Mankato Area of Minnesota using image classification Geographic Information Systems (GIS) modelling in high-resolution aerial photography QuickBird imagery. Results show that from 1971 to 2003, urban impervious surfaces increased 18.3% 32.6%, while cropland grassland decreased 54.2% 39.1%. The dramatic urbanization caused...
For in-season site-specific nitrogen (N) management of rice to be successful, it is crucially important diagnose N status efficiently across large areas within a short time frame. In recent studies, the FORMOSAT-2 satellite images with traditional blue (B), green (G), red (R), and near-infrared (NIR) wavebands have been used estimate due its high spatial resolution, daily revisit capability, relatively lower cost. This study aimed evaluate potential improvements RapidEye WorldView-2 data...
RapidSCAN is a new portable active crop canopy sensor with three wavebands in red, red-edge, and near infrared spectral regions. The objective of this study was to determine the potential practical approaches using for non-destructive diagnosis rice nitrogen (N) status. Sixteen plot experiments ten on-farm were conducted from 2014 2016 Jiansanjiang Experiment Station China Agricultural University Qixing Farm Northeast China. Two mechanistic semi-empirical sensor's default vegetation indices,...
Three Gorges Reservoir area, the largest reservoir area in China The frequency and intensity of extreme weather events increase with climate warming, local effects large may also change precipitation structure. Therefore, based on sequence data (TGR) from 1959 to 2019, proposed multi-time-scale mutual information entropy (MTSMIE) method was used reveal cyclic synchronous changes drought-flood abrupt alternation concentration. results demonstrate that (1) spatial distribution concentration...
Abstract Land cover maps, especially vegetation are of increasing interest and use to resource agencies. This paper describes a three‐stage hybrid classification method for regional‐scale multi‐level land mapping. The first stage involves an unsupervised stratification. second includes supervised forest types, rule‐based clustering non‐forested vegetation, estimation percent impervious area with regression model. third is final map generation post processing. Landsat TM/ETM+ images three...
Various methodologies have been used to estimate and map percent impervious surface area (%ISA) using moderate resolution remote sensing imagery (e.g., Landsat Thematic Mapper). There is, however, a lack of comparative analyses among these methods. This study compares three major spectral analysis techniques (regression modeling, regression tree, normalized mixture (NSMA)) for continuous %ISA estimation 1986 2002 the seven-county Twin Cities Metropolitan Area Minnesota. Our showed that all...
Crop growth and yield monitoring are essential for food security agricultural economic return prediction. Remote sensing is an efficient technique measuring growing season crop canopies providing information on the spatial variability of yields. In this study, ten vegetation indices (VIs) derived from time series PlanetScope Sentinel-2 images were used to investigate potential estimate corn grain with different regression methods. A field-scale prediction model was developed produce maps...
In the past decade or so, local governments in China have significantly increased their land development activities by acquiring from farmers and leasing it on a large scale to industrial commercial developers. This paper is an analysis of how used under China's existing institutional background as competitive incentive for investment. It argued that contributed investment-driven growth not sustainable long run. On basis panel data covering all provinces 1998 2005, we empirically analyze...