65 citations as recorded by crossref.

1. Spatiotemporal Evolution Monitoring of Small Water Body Coverage Associated with Land Subsidence Using SAR Data: A Case Study in Geleshan, Chongqing, China T. Jiang et al. https://doi.org/10.3390/rs18040644
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3. Delineating northern peatlands using Sentinel-1 time series and terrain indices from local and regional digital elevation models M. Karlson et al. https://doi.org/10.1016/j.rse.2019.111252
4. Impact of Backscatter Variations Over Water Bodies on Coarse-Scale Radar Retrieved Soil Moisture and the Potential of Correcting With Meteorological Data E. Hogstrom & A. Bartsch https://doi.org/10.1109/TGRS.2016.2530845
5. Probabilistic mapping of flood-induced backscatter changes in SAR time series S. Schlaffer et al. https://doi.org/10.1016/j.jag.2016.12.003
6. A novel spatial support mechanism for planar deployable antennas L. Guo et al. https://doi.org/10.1016/j.actaastro.2021.08.011
7. Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions J. Watts et al. https://doi.org/10.1088/1748-9326/9/7/075001
8. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. https://doi.org/10.1029/2019RG000652
9. An automatic method for mapping inland surface waterbodies with Radarsat-2 imagery J. Li & S. Wang https://doi.org/10.1080/01431161.2015.1009653
10. A Long-Term Passive Microwave Snowoff Record for the Alaska Region 1988–2016 C. Pan et al. https://doi.org/10.3390/rs12010153
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12. Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges A. Bartsch et al. https://doi.org/10.3390/rs8120979
13. Detection of Inland Open Water Surfaces Using Dual Polarization L-Band Radar for the Soil Moisture Active Passive Mission S. Kim et al. https://doi.org/10.1109/TGRS.2016.2517010
14. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al. https://doi.org/10.3390/rs10020217
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17. High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery J. Lehmann et al. https://doi.org/10.3390/rs8030173
18. Application of SAR to Delineate Peatland from Other Land Cover and Assess Relative Condition in Relation to Surface Moisture S. Jarrett & D. Hölbling https://doi.org/10.3390/rs17162752
19. Monitoring Volumetric Surface Soil Moisture Content at the La Grande Basin Boreal Wetland by Radar Multi Polarization Data A. Jacome et al. https://doi.org/10.3390/rs5104919
20. Mapping Wetlands in Zambia Using Seasonal Backscatter Signatures Derived from ENVISAT ASAR Time Series S. Schlaffer et al. https://doi.org/10.3390/rs8050402
21. Potential of Two SAR-Based Flood Mapping Approaches in Supporting an Integrated 1D/2D HEC-RAS Model I. Zotou et al. https://doi.org/10.3390/w14244020
22. Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping F. Bioresita et al. https://doi.org/10.1080/01431161.2019.1624869
23. Freshwater lake inundation monitoring using Sentinel-1 SAR imagery in Eastern Uganda B. Barasa & J. Wanyama https://doi.org/10.1080/19475683.2020.1743754
24. Using remote sensing to assess peatland resilience by estimating soil surface moisture and drought recovery K. Lees et al. https://doi.org/10.1016/j.scitotenv.2020.143312
25. Structural Dynamic Improvement for Petal-Type Deployable Solid-Surface Reflector Based on Numerical Parameter Study H. Huang et al. https://doi.org/10.3390/app10186560
26. Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook A. Beamish et al. https://doi.org/10.1016/j.rse.2020.111872
27. Permafrost and Freshwater Systems in the Arctic as Tipping Elements of the Climate System V. Brovkin et al. https://doi.org/10.1007/s10712-025-09885-9
28. Surface Water Extent Extraction in Prairie Environments Using Sentinel-1 Image-Pair Coherence P. Chen & G. Gunn https://doi.org/10.3390/glacies2020006
29. Toward a High-Resolution Monitoring of Continental Surface Water Extent and Dynamics, at Global Scale: from GIEMS (Global Inundation Extent from Multi-Satellites) to SWOT (Surface Water Ocean Topography) C. Prigent et al. https://doi.org/10.1007/s10712-015-9339-x
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31. Combining COSMO-SkyMed satellites data and numerical modeling for the dynamic management of artificial recharge basins M. Masetti et al. https://doi.org/10.1016/j.jhydrol.2018.09.067
32. Continuous field mapping of Mediterranean wetlands using sub-pixel spectral signatures and multi-temporal Landsat data J. Reschke & C. Hüttich https://doi.org/10.1016/j.jag.2013.12.014
33. Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions E. Högström et al. https://doi.org/10.3390/rs6098718
34. Soil moisture retrieval using space-borne GNSS reflectometry: a comprehensive review M. Rahmani et al. https://doi.org/10.1080/01431161.2022.2128927
35. Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach A. Trofaier et al. https://doi.org/10.1016/j.rse.2017.05.021
36. Design and multi-objective comprehensive optimization of cable-strut tensioned antenna mechanism C. Shi et al. https://doi.org/10.1016/j.actaastro.2020.09.031
37. Advancements in earth observation for water resources monitoring and management in Africa: A comprehensive review T. Dube et al. https://doi.org/10.1016/j.jhydrol.2023.129738
38. Signal Coherence and Water Detection Algorithms for the ESA HydroGNSS Mission J. Peng et al. https://doi.org/10.1109/TGRS.2024.3410876
39. Evaluation of the ESA CCI soil moisture product using ground-based observations W. Dorigo et al. https://doi.org/10.1016/j.rse.2014.07.023
40. Satellite Flood Inundation Assessment and Forecast Using SMAP and Landsat J. Du et al. https://doi.org/10.1109/JSTARS.2021.3092340
41. Inland Water Body Mapping Using CYGNSS Coherence Detection M. Al-Khaldi et al. https://doi.org/10.1109/TGRS.2020.3047075
42. A novel approach for the characterization of tundra wetland regions with C-band SAR satellite data B. Widhalm et al. https://doi.org/10.1080/01431161.2015.1101505
43. Remote Sensing of Environmental Drivers Influencing the Movement Ecology of Sympatric Wild and Domestic Ungulates in Semi-Arid Savannas, a Review F. Rumiano et al. https://doi.org/10.3390/rs12193218
44. Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. https://doi.org/10.3390/rs14102475
45. Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series S. Schlaffer et al. https://doi.org/10.5194/hess-26-841-2022
46. Using CYGNSS and L-Band Radiometer Observations to Retrieve Surface Water Fraction: A Case Study of the Catastrophic Flood of 2022 in Pakistan Z. Ma et al. https://doi.org/10.1109/TGRS.2024.3367491
47. Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review D. Zhang & G. Zhou https://doi.org/10.3390/s16081308
48. Multi-temporal Synthetic Aperture Radar Metrics Applied to Map Open Water Bodies M. Santoro & U. Wegmuller https://doi.org/10.1109/JSTARS.2013.2289301
49. Inferring Water Table Depth Dynamics from ENVISAT-ASAR C-Band Backscatter over a Range of Peatlands from Deeply-Drained to Natural Conditions M. Bechtold et al. https://doi.org/10.3390/rs10040536
50. Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data H. Guan et al. https://doi.org/10.1016/j.rse.2023.113714
51. Modifying NISAR’s Cropland Area Algorithm to Map Cropland Extent Globally K. Sharp et al. https://doi.org/10.3390/rs17061094
52. Beyond Major Floods: Deep Learning for Detecting Shallow Water Inundation in Agricultural Areas P. Konrad et al. https://doi.org/10.1016/j.procs.2025.09.149
53. Can C-band synthetic aperture radar be used to estimate soil organic carbon storage in tundra? A. Bartsch et al. https://doi.org/10.5194/bg-13-5453-2016
54. Extracting Disaster-Related Location Information through Social Media to Assist Remote Sensing for Disaster Analysis: The Case of the Flood Disaster in the Yangtze River Basin in China in 2020 T. Yang et al. https://doi.org/10.3390/rs14051199
55. Surface State across Scales; Temporal and Spatial Patterns in Land Surface Freeze/Thaw Dynamics H. Bergstedt & A. Bartsch https://doi.org/10.3390/geosciences7030065
56. Implementation of satellite based fractional water cover indices in the pan-Arctic region using AMSR-E and MODIS J. Du et al. https://doi.org/10.1016/j.rse.2016.07.029
57. Mapping 10 m monthly surface water dynamics in the Yangtze River basin from 2017 to 2020 using a robust ATMC algorithm Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.130327
58. Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments B. Widhalm et al. https://doi.org/10.3390/rs10040551
59. Assessment of spring floods and surface water extent over the Yamalo-Nenets Autonomous District A. Trofaier et al. https://doi.org/10.1088/1748-9326/8/4/045026
60. Permafrost Monitoring from Space A. Bartsch et al. https://doi.org/10.1007/s10712-023-09770-3
61. Mapping Dynamic Water Fraction under the Tropical Rain Forests of the Amazonian Basin from SMOS Brightness Temperatures M. Parrens et al. https://doi.org/10.3390/w9050350
62. Inundation–Desiccation State Prediction for Salt Pans in the Western Pannonian Basin Using Remote Sensing, Groundwater, and Meteorological Data H. Schauer et al. https://doi.org/10.3390/rs15194659
63. Circumpolar Mapping of Ground-Fast Lake Ice A. Bartsch et al. https://doi.org/10.3389/feart.2017.00012
64. Evaluation of a MetOp ASCAT‐Derived Surface Soil Moisture Product in Tundra Environments E. Högström et al. https://doi.org/10.1029/2018JF004658
65. Comparison Between Thermal-Optical and L-Band Passive Microwave Soil Moisture Remote Sensing at Farm Scales: Towards UAV-Based Near-Surface Soil Moisture Mapping N. Ye et al. https://doi.org/10.1109/JSTARS.2023.3329015