Yilin Shi
Biographic Data
| ID | 9960549 |
|---|---|
| NAME | Yilin Shi |
| GIVEN NAMES | Yilin |
| FAMILY NAME | Shi |
| SIGNATURE | SHI Y |
| AFFILIATIONS | Zhejiang University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Artificial light at night and vegetation response in grassland cities of inner Mongolia
Artificial light at night (ALAN) is an emerging environmental stressor in grassland cities, yet its vegetation impacts remain insufficiently quantified at landscape scales. This study examined four representative cities in Inner Mongolia, China—Hailar, Xilinhot, Hohhot, and Bayannur—using VIIRS VNP46A3 nighttime lights (NTL), MODIS MOD13A1 normalized difference vegetation index (NDVI), and MCD12Q1 land-cover data from 2021 to 2023. A harmonized m…
Detecting Urban Traffic Anomalies Using Traffic-Monitoring Data
Traffic anomaly detection is crucial for urban management, yet current research is often confined to small-scale endeavors. This study collected 9 months of real-time Wuhan traffic-monitoring data from Amap. We propose Traffic-ConvLSTM, a multi-scale spatial-temporal technique based on long short-term memory (LSTM) networks and convolutional neural networks (CNNs) to effectively achieve long-term anomaly detection at the city level. First, we con…
Tropical cyclone simulation models for resilience engineering – A review
No prominent works on this page.
Detecting Urban Traffic Anomalies Using Traffic-Monitoring Data
Traffic anomaly detection is crucial for urban management, yet current research is often confined to small-scale endeavors. This study collected 9 months of real-time Wuhan traffic-monitoring data from Amap. We propose Traffic-ConvLSTM, a multi-scale spatial-temporal technique based on long short-term memory (LSTM) networks and convolutional neural networks (CNNs) to effectively achieve long-term anomaly detection at the city level. First, we con…
Tropical cyclone simulation models for resilience engineering – A review
Artificial light at night and vegetation response in grassland cities of inner Mongolia
Artificial light at night (ALAN) is an emerging environmental stressor in grassland cities, yet its vegetation impacts remain insufficiently quantified at landscape scales. This study examined four representative cities in Inner Mongolia, China—Hailar, Xilinhot, Hohhot, and Bayannur—using VIIRS VNP46A3 nighttime lights (NTL), MODIS MOD13A1 normalized difference vegetation index (NDVI), and MCD12Q1 land-cover data from 2021 to 2023. A harmonized m…
Engineering (2 works) · Geography (2 works) · Anomaly Detection Techniques and Applications (1 work) · Circadian rhythm and melatonin (1 work) · Computer Science (1 work) · Environmental Science (1 work) · Flood Risk Assessment and Management (1 work) · Forb (1 work) · Grassland (1 work) · Human Mobility and Location-Based Analysis (1 work)