A5103133551- Remote Sensing in Agriculture
- Potato Plant Research
- Emotion and Mood Recognition
- Urban Heat Island Mitigation
- Soil Geostatistics and Mapping
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Remote Sensing and LiDAR Applications
- Calibration and Measurement Techniques
- Coastal and Marine Management
- Ruminant Nutrition and Digestive Physiology
- Crop Yield and Soil Fertility
- Cardiovascular and exercise physiology
- Infrared Target Detection Methodologies
- Winter Sports Injuries and Performance
- Optical Systems and Laser Technology
- Non-Invasive Vital Sign Monitoring
- Balance, Gait, and Falls Prevention
- Smart Agriculture and AI
- Body Composition Measurement Techniques
- Radar Systems and Signal Processing
- Water Quality Monitoring and Analysis
- Spectroscopy and Chemometric Analyses
- Advanced SAR Imaging Techniques
- Irrigation Practices and Water Management
Tsinghua University
2025
Swedish University of Agricultural Sciences
2021-2023
Aarhus University
2020-2023
Zhejiang University
2023
The two-source energy balance model estimates canopy transpiration (Tr) and soil evaporation (E) traditionally from satellite partitions of remotely sensed land surface temperature (LST) the Priestley-Taylor equation (TSEB-PT) at seasonal time with limited accuracy. high spatial–temporal resolution spectral data collected by unmanned aerial vehicles (UAVs) provide valuable opportunity to estimate Tr E precisely, improve understanding diurnal cycle evapotranspiration (ET), timely detect...
Intercepted photosynthetically active radiation (Ipar, MJ m-2 d-1) is a key biophysical variable governing plant photosynthetic rate and net primary productivity (NPP, g d-1). Under optimal growth conditions, Ipar scales proportionally to NPP by factor termed 'optimum use efficiency' (RUEopt). The Carnegie-Ames-Stanford approach (CASA) considers temperature moisture constraints RUEopt has been widely used in remote sensing studies estimate of various ecosystems. However, scale effects on the...
An accurate assessment of vegetable yield is essential for agricultural production and management. One approach to estimate with remote sensing via vegetation indices, which are selected in a statistical empirical approach, rather than mechanistic way. This study aimed the dry matter Choy Sum by both causality-guided intercepted radiation-based model spectral reflectance-based compare their performance. Moreover, effect nitrogen (N) rates on radiation use efficiency (RUE) was also evaluated....
Accurate estimation of the whole-body center mass (CoM) is essential for assessing human stability and postural control. However, selecting most accurate method challenging due to complexity movement, diverse nature activities, varying availability equipment, such as marker-based systems ground reaction force (GRF) sensors. This study compares three CoM methods -- "Pelvis Markerset", "Whole-Body Markerset & GRFs" across static standing with eyes closed, dynamic picking up an object from...
<p>This abstract is for SUPPORT APPLICATION.</p><p>Drought the most significant stress that reduces crop yield, hence, agricultural irrigation major consumer of freshwater worldwide. There everlasting need to improve applications in order increase water use efficiency and save water. Conventional methods estimate status within-field variability are precise, yet, highly demanding time manpower. Remote sensing reflective emissive spectrum with unmanned...