Sustainable natural resources management relies on effective and timely assessment of
conservation and land management practices. Using satellite imagery for Earth observation …

Intrusion detection is an effective means of ensuring the proper functioning of industrial
control systems (ICSs). Most intrusion detection algorithms learn the historical ICS data to …

The frequent occurrence of floods and waterlogging has significantly impacted coastal cities.
Effective mapping of flood risk can enhance the precision of disaster risk reduction …

Balancing the supply and demand of urban flood regulation services is crucial for refining
flood management policies. Previous studies often employed coarse evaluation units and …

Reliable classification of satellite images is essential for various applications, including land
cover and crop (LCC) mapping. In recent years, ensemble classifiers have shown …

Mapping smallholder irrigated agriculture in sub-Saharan Africa using remote sensing
techniques is challenging due to its small and scattered areas and heterogenous cropping …

Crop classification using remote sensing data has emerged as a prominent research area in
recent decades. Studies have demonstrated that fusing synthetic aperture radar (SAR) and …

The paper describes the production and evaluation of global grassland extent mapped
annually for 2000–2022 at 30 m spatial resolution. The dataset showing the spatiotemporal …

This study addresses the persistent challenge of class imbalance in land use and land cover
(LULC) classification within the Shihmen Reservoir watershed in Taiwan, where LULC is …

This study builds a machine-learning-based land-use change (ML-LUC) model to analyze
the effect of green belt (GB) regulation in the Seoul metropolitan area (SMA) and predict the …