35 citations as recorded by crossref.

1. GPP of a Chinese Savanna Ecosystem during Different Phenological Phases Simulated from Harmonized Landsat and Sentinel-2 Data X. Zhang et al. 10.3390/rs16183475
2. Archetypal crop trait dynamics for enhanced retrieval of biophysical parameters from Sentinel-2 MSI F. Yin et al. 10.1016/j.rse.2024.114510
3. Harmonized NDVI time-series from Landsat and Sentinel-2 reveal phenological patterns of diverse, small-scale cropping systems in East Africa A. Liepa et al. 10.1016/j.rsase.2024.101230
4. A Study on the Evolution of Forest Landscape Patterns in the Fuxin Region of China Combining SC-UNet and Spatial Pattern Perspectives F. Wang et al. 10.3390/su16167067
5. A Framework for the Estimation of Uncertainties and Spectral Error Correlation in Sentinel-2 Level-2A Data Products J. Gorroño et al. 10.1109/TGRS.2024.3435021
6. An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index J. Wang et al. 10.3390/rs16040684
7. High Spatial Resolution Fractional Vegetation Coverage Inversion Based on UAV and Sentinel-2 Data: A Case Study of Alpine Grassland G. Zhong et al. 10.3390/rs15174266
8. Spatiotemporal variability of lake surface water temperature and water quality parameters and its interrelationship with water hyacinth biomass in Lake Tana, Ethiopia G. Bayable et al. 10.1007/s11356-024-34212-x
9. Tracking Phytoplankton Biomass Amid Wildfire Smoke Interference Using Landsat 8 OLI S. Mohammady et al. 10.3390/rs16193605
10. Need and vision for global medium-resolution Landsat and Sentinel-2 data products V. Radeloff et al. 10.1016/j.rse.2023.113918
11. Harmonized Landsat and Sentinel-2 Data with Google Earth Engine E. Berra et al. 10.3390/rs16152695
12. Evaluation of Correction Algorithms for Sentinel-2 Images Implemented in Google Earth Engine for Use in Land Cover Classification in Northern Spain I. Teijido-Murias et al. 10.3390/f15122192
13. Earth observations reveal impacts of climate variability on maize cropping systems in sub-Saharan Africa A. Liepa et al. 10.1080/15481603.2025.2476248
14. Meteorological and potential climatic influence on high cyanobacterial biomass within Patos Lagoon (southern Brazil): A case study of the summer of 2019–2020 B. Caneve et al. 10.1590/2675-2824071.21099bfc
15. Rapid Large-Scale Wetland Inventory Update Using Multi-Source Remote Sensing V. Igwe et al. 10.3390/rs15204960
16. Retrieving land surface reflectance anisotropy with Sentinel-3 observations and prior BRDF model constraints J. León-Tavares et al. 10.1016/j.rse.2023.113967
17. Estimating rice leaf area index at multiple growth stages with Sentinel-2 data: An evaluation of different retrieval algorithms T. Wu et al. 10.1016/j.eja.2024.127362
18. Advancing Global Landslide Segmentation: A Coupled Multispectral Attention and Data Augmentation Approach Using the Novel MRGSLD Dataset G. Emani et al. 10.1007/s41748-025-00577-3
19. An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands Y. Dong et al. 10.1016/j.ejrs.2023.07.011
20. Retrieval of water quality parameters based on IOA-ML models and their response to short-term hydrometeorological factors W. Hu et al. 10.1016/j.ejrh.2024.102118
21. Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery A. Garcia et al. 10.3390/agriengineering7030065
22. Quantifying Forest Cover Loss during the COVID-19 Pandemic in the Lubumbashi Charcoal Production Basin (DR Congo) through Remote Sensing and Landscape Analysis Y. Useni Sikuzani et al. 10.3390/resources13070095
23. Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery S. Peters et al. 10.3390/rs16101722
24. GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements L. Brown et al. 10.1016/j.rse.2025.114797
25. Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data W. Yu et al. 10.1016/j.agrformet.2023.109729
26. Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning S. Steinbach et al. 10.1016/j.jag.2025.104390
27. MANGLEE: A Tool for Mapping and Monitoring MANgrove Ecosystem on Google Earth Engine—A Case Study in Ecuador L. Caiza-Morales et al. 10.1007/s41651-024-00175-3
28. Irrigated rice-field mapping in Brazil using phenological stage information and optical and microwave remote sensing A. Garcia et al. 10.1016/j.acags.2025.100223
29. Optimal time-window for assessing soil salinity via Sentinel-2 multitemporal synthetic data in the arid agricultural regions of China J. Xiong et al. 10.1016/j.ecolind.2025.113642
30. A framework for improved predictions of the climate impacts on potential yields of UK winter wheat and its applicability to other UK crops G. Hayman et al. 10.1016/j.cliser.2024.100479
31. Utilizing Remote Sensing and Random Forests to Identify Optimal Land Use Scenarios and Address the Increase in Landslide Susceptibility A. Putra et al. 10.3390/su17094227
32. LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset I. Panuntun et al. 10.3390/rs16061078
33. Early-Stage Mapping of Winter Canola by Combining Sentinel-1 and Sentinel-2 Data in Jianghan Plain China T. Liu et al. 10.3390/rs16173197
34. Climate change impacts on streamflow, sediment load and carbon fluxes in the Lena River delta S. Chalov et al. 10.1016/j.ecolind.2023.111252
35. Assessing water quality restoration measures in Lake Pampulha (Brazil) through remote sensing imagery A. Assunção et al. 10.1007/s11356-025-35914-6