A5020292636- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Landslides and related hazards
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Cryospheric studies and observations
- Building Energy and Comfort Optimization
- Remote Sensing in Agriculture
Shanghai Normal University
2021-2024
Local climate zone (LCZ) maps have been used widely to study urban structures and heat islands. Because remote sensing data enable automated LCZ mapping on a large scale, there is need evaluate how well resources can produce fine assess thermal environments. In this study, we combined Sentinel-2 multispectral imagery dual-polarized (HH + HV) PALSAR-2 generate of Nanchang, China using random forest classifier grid-cell-based method. We then the importance scores different input features...
Multisource remote sensing and geographic information system (GIS) data have contributed powerfully to the large-scale automated mapping of local climate zones (LCZs). However, accessibility high-resolution height data, applicability standard thresholds contexts, dependence scales limited LCZ classification studies. In this study, we combined airborne LiDAR Sentinel-2 imagery, GIS vector (buildings roads) develop a multiscale scheme in 23 special wards Tokyo. Based on optimized seven...
Understanding changes in urban internal structure and land surface temperature (LST) is essential. The local climate zone (LCZ) scheme has been extensively applied to characterize spatial structure, which potential for research. We combined optical imagery synthetic aperture radar (SAR) data (Landsat-5 PALSAR 2008; Sentinel-2 PALSAR-2 2020) map the LCZs Shanghai, China. results showed that areas of open high-rise mid-rise buildings significantly increased from 2008 2020. Then, we...
This study evaluated different input features for the local climate zone (LCZ) classification using a random forest (RF) classifier. The included spectral reflectance and textural from Sentinel-2 multi-spectral imagery polarimetric dual-polarized ( <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{HH}+\text{HV}$</tex> ) PALSAR-2 data. analysis of feature importance RF classifier was measured by Gini permutation importance. contributions to...