11 citations as recorded by crossref.

1. Long-Term Forest Disturbance Mapping in the Qinling Mountains Using Landsat–Sentinel Annual Composites: A Regional Assessment of LandTrendr Performance Y. Wang et al. https://doi.org/10.3390/rs18111802
2. Does More Straw Always Sequester More Carbon? Unveiling a Thermal Optimization Window for Soil Carbon Sequestration in Peri-Urban Mollisols Q. Ni et al. https://doi.org/10.3390/land15091760
3. Spectral Trajectory-Based Change Detection and Support Vector Machine Algorithm for Assessing Forest Landscape Disturbance Dynamics in Canada’s Athabasca Oil Sands Region A. Bannari et al. https://doi.org/10.3390/rs18193344
4. An integrated spatio-temporal feature and multi-scale landscape pattern framework for monitoring forest disturbance in Karst regions Z. Huang et al. https://doi.org/10.1080/17538947.2026.2715175
5. Forest Disturbance Classification Under Imbalanced and Small-Sample Conditions Based on Collaborative Semi-Supervised Learning and Sample Generation Y. Liu et al. https://doi.org/10.3390/rs18101579
6. Multi-Feature Fusion and Seasonal Selection for Forest Type Mapping in a Subtropical–Temperate Monsoon Climate Ecotone Using Sentinel-1/2: A Case Study J. Wang et al. https://doi.org/10.3390/f17091007
7. High-Resolution Mapping, Attribution, and Carbon Loss Assessment of Forest Disturbances in China’s Critical Regions Using Multi-Source Remote Sensing Y. Cao et al. https://doi.org/10.3390/rs18121982
8. Synergistic gains in vegetation carbon density and green industry output: Evidence from Sand-Fixation Ecological Function Zones in Northern China S. Liu et al. https://doi.org/10.1016/j.jenvman.2026.130399
9. Spatiotemporal Assessment and Obstacle Diagnosis of Cultivated Land Quality Under Rapid Urbanization: Evidence from Chengdu, China H. Ouyang et al. https://doi.org/10.3390/land15071203
10. A Novel Time-Series Algorithm for Detecting Shifting Cultivation Cycles and Fallow Periods S. Liu https://doi.org/10.3390/rs18091318
11. Predicting cultivation probability to target monitoring in smallholder landscapes: Proof of concept from dispersed medicinal plant cultivation in Taihe County, China M. Cai et al. https://doi.org/10.1016/j.ecolind.2026.115560