Remote sensing

Economic development

Monitoring Vertical Urban Growth with Photogrammetry Remote Sensing and Spatial Information Sciences

Research conducted at Wuhan University introduces a novel approach to monitoring vertical urban growth using photogrammetry remote sensing and spatial information sciences. The Stack On-Off model approach efficiently monitors vertical urban growth in Wuhan, China, using Sentinel-1 data from 2015 to 2024. The study highlights the importance of understanding urban

Climate change

Remote-Sensing Technology Crucial for Coastal-Ecosystem Health Assessment

A recent study from Mudanjiang Normal University, published in the Water journal, highlights the importance of remote-sensing technology in assessing coastal-ecosystem health. The research emphasizes the potential of remote-sensing technology in facilitating large-scale, long-time-series observations, making it a key tool for coastal-ecosystem health assessment. Despite its potential, the technology still

Machine learning

Physics-Constrained Deep Learning Framework for Evapotranspiration Estimation

Researchers from the Chinese Academy of Sciences have proposed a novel paradigm for evapotranspiration estimation in data-sparse regions through the synergistic integration of data-driven and knowledge-based models. The study, which has been peer-reviewed, utilizes a physics-constrained hybrid model that incorporates Penman-Monteith-derived physical knowledge into a time series transformer. The framework