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Open access Oct 2026

Machine Learning-Based Soil Moisture Inversion in Agro-Pastoral Areas Using Sentinel Data

Soil moisture is a critical regulator in Earth’s energy cycle, exerting substantial influence on hydrological, ecological, and thermal processes. However, the spatio-temporal heterogeneity of soil moisture poses significant challenges for remote-sensing inversion, and conventional methods are constrained under complex...

Teng Ma, Ling Han, Zhi-Hui Yuan et al. · 0 citations
Open access Oct 2026

LD-DETR: A Multi-Scale Landslide Detection and Segmentation Network for Complex Geological Environments

Landslides are among the most destructive natural hazards. High-resolution remote sensing imagery provides an effective means for landslide detection and mapping, supporting geological hazard assessment and early warning. However, existing methods still face challenges in complex mountainous scenes with heterogeneous l...

Qing Liu, Ting-Ting Wu, Ling Han · 0 citations
Open access 2026

NU-TSC: Weakly Supervised Forest/Nonforest Mapping Using Public Land Cover Products

Accurate forest-cover mapping is essential for large-scale resource monitoring; however, acquiring dense pixel-level labels remains costly and limits practical scalability. This study investigates the use of publicly available land-use/land-cover products (PLCPs) as supervisory signals to alleviate the scarcity of high...

Qianhuizi Guo, Ling Han, Qiu-Chang Xie et al. · 0 citations

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