A5101686412- Telecommunications and Broadcasting Technologies
- Remote Sensing in Agriculture
- Spacecraft Design and Technology
- Satellite Communication Systems
- Remote Sensing and Land Use
- Analytical chemistry methods development
- Opinion Dynamics and Social Influence
- Smart Agriculture and AI
- Complex Network Analysis Techniques
- Landslides and related hazards
- Immune responses and vaccinations
- COVID-19 Clinical Research Studies
- Winter Sports Injuries and Performance
- COVID-19 epidemiological studies
- Web visibility and informetrics
- Cryospheric studies and observations
- Advanced Chemical Sensor Technologies
- Land Use and Ecosystem Services
Southeast University
2024
Peking University
2020-2023
Tongji University
2019
Tianjin University
2017
Jiangsu University of Technology
2016
Subglacial water bodies are critical components in analyzing the instability of Antarctic ice sheet. Their detection and identification normally rely on geophysical remote sensing methods such as airborne radar echo sounding (RES), ground seismic, satellite/airborne altimetry gravity surveys. In particular, RES surveys able to detect basal terrain with a relatively high accuracy that can assist mapping subglacial hydrology systems. Traditional processing for mostly their brightness...
Based on the vision of global coverage for sixth-generation (6G) wireless communication systems, low earth orbit (LEO) satellite-to-ground channel model urban scenarios has emerged as highly important system design. In this paper, we propose an LEO through shooting and bouncing rays (SBR) algorithm to analyze characteristics. The is modeled by simplified general perturbations 4 (SGP4), accurate celestial applied calculate Doppler shift multipath in a transmission time window communications....
Crop type identification refers to distinguishing certain crop from other landcovers, which is an essential and crucial task in agricultural monitoring. Satellite images good data input for identifying different crops since satellites capture relatively wider area more spectral information. Based on prior knowledge of crop's phenology, multi-temporal are stacked extract growth pattern varied crops. In this paper, we proposed a machine learning model combines generative discriminative models...
The spatio-temporal pattern of cultivated land and its changes are great significance in the study ecology, geography agronomy. In this study, long time series remote sensing information is used to monitor phenological characteristics on Chongming Eco-island, Shanghai, China. Based MODIS-NDVI products (2012-2018), NDVI expectations curves Eco-Island established. It demonstrated that negative peaks expectation curve June become less noticeable after 2016. After that, image difference...
Abstract Background: To investigate the epidemiological features of coronavirus disease 2019(COVID-19) and prevention measures in Jiangsu Province. Methods: Information all novel pneumonia confirmed cases was collected from official website Commission Health. All data were entered into Excel Python3 for statistical analysis. Epidemiological characteristics January 10, 2020 to March 18 province retrospectively analyzed. Meanwhile, preventive Health people’s Government Province also Results: 631...