27 citations as recorded by crossref.

1. Intrinsic vs. spurious long-range memory in high-frequency records of environmental radioactivity R. Donner et al. 10.1140/epjst/e2015-02404-1
2. A gap-filling algorithm selection strategy for GRACE and GRACE Follow-On time series based on hydrological signal characteristics of the individual river basins H. Karimi et al. 10.1515/jogs-2022-0129
3. Predicting Missing Values in Spatio-Temporal Remote Sensing Data F. Gerber et al. 10.1109/TGRS.2017.2785240
4. Weight Optimization for missing data prediction of Landslide Susceptibility Mapping in Remote sensing Analysis K. S et al. 10.53759/7669/jmc202404043
5. Finding a needle by removing the haystack: A spatio-temporal normalization method for geophysical data E. Pavlidou et al. 10.1016/j.cageo.2016.02.016
6. Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems Y. Luo et al. 10.3390/rs10081293
7. Timescale effects on the environmental control of carbon and water fluxes of an apple orchard L. Montagnani et al. 10.1002/ece3.3633
8. Comparison of Cloud-Filling Algorithms for Marine Satellite Data A. Stock et al. 10.3390/rs12203313
9. Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits T. Musavi et al. 10.1002/ece3.2479
10. A novel bias correction methodology for climate impact simulations S. Sippel et al. 10.5194/esd-7-71-2016
11. CLIMFILL v0.9: a framework for intelligently gap filling Earth observations V. Bessenbacher et al. 10.5194/gmd-15-4569-2022
12. Soil respiration sensitivity to temperature in biocrusted soils in a desert-shrubland ecosystem P. Liu et al. 10.1016/j.catena.2020.104556
13. Extracting Geoscientific Dataset Names from the Literature Based on the Hierarchical Temporal Memory Model K. Wu et al. 10.3390/ijgi13070260
14. Recurrence‐Based Quantification of Dynamical Complexity in the Earth's Magnetosphere at Geospace Storm Timescales R. Donner et al. 10.1029/2018JA025318
15. Reconstruction of groundwater levels to impute missing values using singular and multichannel spectrum analysis: application to the Ardabil Plain, Iran M. Taie Semiromi & M. Koch 10.1080/02626667.2019.1669793
16. The operational method of filling information gaps in satellite imagery using numerical models M. Konik et al. 10.1016/j.jag.2018.09.002
17. Performance of Singular Spectrum Analysis in Separating Seasonal and Fast Physiological Dynamics of Solar‐Induced Chlorophyll Fluorescence and PRI Optical Signals K. Biriukova et al. 10.1029/2020JG006158
18. Reconstruction of Zonal Precipitation From Sparse Historical Observations Using Climate Model Information and Statistical Learning M. Egli et al. 10.1029/2022GL099826
19. Leveraging Transfer Learning and U-Nets Method for Improved Gap Filling in Himawari Sea Surface Temperature Data Adjacent to Taiwan D. Putra & P. Hsu 10.3390/ijgi13050162
20. Bioregionalization of the subarctic Pacific based on phytoplankton phenology and composition M. Konik et al. 10.1016/j.pocean.2024.103315
21. Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming I. Ilie et al. 10.5194/gmd-10-3519-2017
22. Combining machine learning, space-time cloud restoration and phenology for farm-level wheat yield prediction A. Tesfaye et al. 10.1016/j.aiia.2021.10.002
23. Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set S. Walther et al. 10.5194/bg-19-2805-2022
24. Gap Filling of Precipitation Data by SSA - Singular Spectrum Analysis A. Filho & G. Lima 10.1088/1742-6596/759/1/012085
25. Nonlinear analysis of groundwater levels: investigating trends and the impact of El Niño on groundwater drought in a southern region of India K. Poojitha & B. Dodamani 10.1007/s11600-025-01582-w
26. Quantifying changes in climate variability and extremes: Pitfalls and their overcoming S. Sippel et al. 10.1002/2015GL066307
27. Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud Á. Moreno-Martínez et al. 10.1016/j.rse.2020.111901