12 citations as recorded by crossref.

1. An Inverse Modeling Approach for Retrieving High-Resolution Surface Fluxes of Greenhouse Gases from Measurements of Their Concentrations in the Atmospheric Boundary Layer I. Mukhartova et al. https://doi.org/10.3390/rs16132502
2. Beyond carbon: Multi-scale thermal and hydrological feedback of permafrost on the Tibetan Plateau Y. Xiao et al. https://doi.org/10.1016/j.earscirev.2025.105248
3. Actively inferring methane sources with drones A. van Hove et al. https://doi.org/10.1017/eds.2026.10029
4. Quantifying landcover-specific fluxes over a heterogeneous landscape through coupling UAV-measured mixing ratios with a large-eddy simulation model and Eddy-covariance measurements T. Yazbeck et al. https://doi.org/10.5194/amt-18-6917-2025
5. Adaptive Radiometric Calibration and Cross-Bayesian-Optimized Scheme for Intertidal Flats Classification With UAV Multispectral Data R. Guo et al. https://doi.org/10.1109/JSTARS.2026.3677741
6. Inferring methane emissions from African livestock by fusing drone, tower, and satellite data A. van Hove et al. https://doi.org/10.5194/bg-22-4163-2025
7. The Multiple Snow Data Assimilation System (MuSA v1.0) E. Alonso-González et al. https://doi.org/10.5194/gmd-15-9127-2022
8. Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation E. Alonso-González et al. https://doi.org/10.5194/hess-27-4637-2023
9. Inverse problem for retrieving greenhouse gas fluxes at the non-uniform underlying surface from measurements of their concentrations at several levels I. Mukhartova et al. https://doi.org/10.1088/1742-6596/2701/1/012141
10. A Comparative Study of Evapotranspiration Simulation in Semiarid Sandy Land Using Two Surface Energy Balance Models S. Lun et al. https://doi.org/10.15244/pjoes/189361
11. Snow–vegetation–atmosphere interactions in alpine tundra N. Pirk et al. https://doi.org/10.5194/bg-20-2031-2023
12. Uncrewed Aerial Vehicle Remote Sensing for Meteorology: A review of current status, applications, and opportunities C. Han et al. https://doi.org/10.1109/MGRS.2026.3712116