12 citations as recorded by crossref.

1. Quantifying rooftop photovoltaic solar energy potential: A machine learning approach D. Assouline et al. https://doi.org/10.1016/j.solener.2016.11.045
2. Ocean Remote Sensing Techniques and Applications: A Review (Part I) M. Amani et al. https://doi.org/10.3390/w14213400
3. Spatio-temporal reconstruction of winter glacier mass balance in the Alps, Scandinavia, Central Asia and western Canada (1981–2019) using climate reanalyses and machine learning M. Guidicelli et al. https://doi.org/10.5194/tc-17-977-2023
4. Intercomparison of satellite- and ground-based cloud fraction over Switzerland (2000–2012) F. Fontana et al. https://doi.org/10.1016/j.atmosres.2013.01.013
5. The Role of Satellite Data Within GCOS Switzerland G. Seiz et al. https://doi.org/10.3390/rs3040767
6. Qualitative Distinction of Autotrophic and Heterotrophic Processes at the Leaf Level by Means of Triple Stable Isotope (C–O–H) Patterns A. Kimak et al. https://doi.org/10.3389/fpls.2015.01008
7. Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data N. Foppa & G. Seiz https://doi.org/10.5194/tc-6-331-2012
8. Continuous Spatio-Temporal High-Resolution Estimates of SWE Across the Swiss Alps – A Statistical Two-Step Approach for High-Mountain Topography M. Guidicelli et al. https://doi.org/10.3389/feart.2021.664648
9. Photosynthetic trends in India derived from remote sensing measurements during 2000–2019: vegetation dynamics and key climate drivers R. Kashyap et al. https://doi.org/10.1080/10106049.2022.2060325
10. Development of a solar radiation measuring instrument for building energy management system J. Yang et al. https://doi.org/10.1063/5.0243744
11. Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies M. Kimani et al. https://doi.org/10.3390/rs10071074
12. Cellulose in Foliage and Changes during Seasonal Leaf Development of Broadleaf and Conifer Species Z. Kern et al. https://doi.org/10.3390/plants11182412