Remote sensing of photovoltaic scenarios: Techniques, applications and future directions

Q Chen, X Li, Z Zhang, C Zhou, Z Guo, Z Liu, H Zhang - Applied Energy, 2023 - Elsevier
Develo** solar photovoltaic (PV) systems is an effective way to address the problems of
limited fossil fuel reserves, soaring world energy demand and global climate change. The …

[HTML][HTML] Building risk monitoring and prediction using integrated multi-temporal InSAR and numerical modeling techniques

P Ma, Y Zheng, Z Zhang, Z Wu, C Yu - International Journal of Applied …, 2022 - Elsevier
Frequent anthropogenic activities associated with rapid urbanization may cause ground
subsidence and endanger the adjacent buildings. Interferometric synthetic aperture radar …

[HTML][HTML] Preliminary Study on InSAR-Based Uplift or Subsidence Monitoring and Stability Evaluation of Ground Surface in the Permafrost Zone of the Qinghai–Tibet …

Q Du, D Chen, G Li, Y Cao, Y Zhou, M Chai, F Wang… - Remote Sensing, 2023 - mdpi.com
Against the background of global warming, permafrost areas are facing increasing thawing,
and the threat to the surface of the Qinghai–Tibet Engineering Corridor (QTEC) is serious. It …

InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models

J Wang, C Li, L Li, Z Huang, C Wang, H Zhang… - Science of the Total …, 2023 - Elsevier
The free and open data policy of Sentinel-1 SAR images enables Radar interferometry
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …

Refined landslide inventory and susceptibility of Weining County, China, inferred from machine learning and Sentinel‐1 InSAR analysis

X Shi, D Chen, J Wang, P Wang, Y Wu… - Transactions in …, 2024 - Wiley Online Library
Landslides are widely distributed mountainous geological hazards that threaten economic
development and people's daily lives. Interferometric synthetic aperture radar (InSAR) with …

[HTML][HTML] Surface deformation mechanism analysis in Shanghai areas based on TS-InSAR technology

J Li, L Zhou, Z Zhu, J Qin, L **an, D Zhang, L Huang - Remote Sensing, 2022 - mdpi.com
To address the problem that surface deformation causes in urban areas by affecting urban
security and threatening human life and property, this study first measured the surface …

Land surface temperature retrieval from Landsat 9 TIRS-2 data using radiance-based split-window algorithm

M Wang, M Li, Z Zhang, T Hu, G He… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The thermal infrared sensor-2 (TIRS-2) carried on Landsat 9 is the newest thermal infrared
(TIR) sensor for the Landsat project and provides two adjacent TIR bands, which greatly …

Integrating remote sensing, GIS, and multi-criteria decision making for assessing PV potential in mountainous regions

X Feng, Z Zhang, Q Chen, Z Guo, H Zhang, M Wang… - Renewable Energy, 2025 - Elsevier
Installing photovoltaic (PV) facilities in mountainous areas can address the challenge of land
scarcity in PV development, improve the energy structure, and promote economic growth in …

[HTML][HTML] Semi-automatic detection of ground displacement from multi-temporal Sentinel-1 synthetic aperture radar Interferometry analysis and density-based spatial …

D Chen, Q Wu, Z Sun, X Shi, S Zhang, Y Zhang, Y Wu - Remote Sensing, 2024 - mdpi.com
The China Loess Plateau (CLP) is the world's most extensive and thickest region of loess
deposits. The inherently loose structure of loess makes the CLP particularly vulnerable to …