314 citations as recorded by crossref.

1. Optimized deep learning architecture for predicting maximum temperatures in key Egyptian regions using hybrid genetic algorithm and mountain Gazelle optimizer E. Houssein et al. 10.1007/s10462-025-11247-1
2. A global hydrology research agenda fit for the 2030s R. Wilby 10.2166/nh.2019.100
3. Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting K. Johansen et al. 10.1016/j.isprsjprs.2021.02.019
4. Denitrification in wetlands: A review towards a quantification at global scale C. Martínez-Espinosa et al. 10.1016/j.scitotenv.2020.142398
5. Seasonal variations of vegetative indices and their correlation with evapotranspiration and soil water storage in a small agricultural catchment T. Li et al. 10.17221/60/2023-SWR
6. Reconstruction of Rainfall Field Using Earth–Space Links Network: A Compressed Sensing Approach Y. Zhao et al. 10.3390/rs14194966
7. Space-based observations of crustal deflections for drought characterization in Brazil V. Ferreira et al. 10.1016/j.scitotenv.2018.06.277
8. Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation M. Girotto et al. 10.1016/j.rse.2019.04.001
9. A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al. 10.3390/rs10030427
10. Recent advance in earth observation big data for hydrology L. Chen & L. Wang 10.1080/20964471.2018.1435072
11. The Global Water Cycle Budget: A Chronological Review M. Vargas Godoy et al. 10.1007/s10712-021-09652-6
12. The water resources of tropical West Africa: problems, progress, and prospects C. Ndehedehe 10.1007/s11600-019-00260-y
13. Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al. 10.1029/2018WR024480
14. The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models J. Koch et al. 10.5194/gmd-11-1873-2018
15. Multivariate temperature prediction model based on CNN-BiLSTM and RandomForest X. Bai et al. 10.1007/s11227-024-06689-3
16. Towards Estimating Land Evaporation at Field Scales Using GLEAM B. Martens et al. 10.3390/rs10111720
17. On the Interest of Optical Remote Sensing for Seasonal Snowmelt Parameterization, Applied to the Everest Region (Nepal) B. Bouchard et al. 10.3390/rs11222598
18. The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield T. Franz et al. 10.1016/j.fcr.2020.107788
19. Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions L. Zhao et al. 10.3390/atmos16070791
20. Validation of the EUMETSAT CMSAF global interpolated gridded rainfall estimation (GIRAFE v1) dataset for Türkiye M. Pekin et al. 10.1007/s41324-025-00625-0
21. From Slide Rule to Big Data: How Data Science is Changing Water Science and Engineering J. Hering 10.1061/(ASCE)EE.1943-7870.0001578
22. Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
23. Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives Y. Li et al. 10.1016/j.isprsjprs.2022.03.013
24. From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale? W. Zhi et al. 10.1021/acs.est.0c06783
25. Analysing River Systems with Time Series Data Using Path Queries in Graph Databases E. Bollen et al. 10.3390/ijgi12030094
26. Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site Z. Li et al. 10.1016/j.jag.2021.102502
27. Plot-level field monitoring with Sentinel-2 and PlanetScope data for examination of sewage sludge disposal impact F. Kovács & Z. Ladányi 10.5937/gp26-37964
28. Estimating Fine‐Scale Transpiration From UAV‐Derived Thermal Imagery and Atmospheric Profiles B. Morgan & K. Caylor 10.1029/2023WR035251
29. On the Use of Unmanned Aerial Systems for Environmental Monitoring S. Manfreda et al. 10.3390/rs10040641
30. Developing Data‐Rich Video of Surface Water–Groundwater Interactions for Public Engagement C. Christenson et al. 10.1111/gwat.13165
31. An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. 10.3390/w12051495
32. Deep Learning for Satellite Image Time-Series Analysis: A review L. Miller et al. 10.1109/MGRS.2024.3393010
33. Evaluations of MODIS and microwave based satellite evapotranspiration products under varied cloud conditions over East Asia forests Y. Wang et al. 10.1016/j.rse.2021.112606
34. Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA R. Joshi et al. 10.1016/j.jag.2024.104238
35. Hydrological mass balance of boreal watersheds in the Canadian Shield S. Nadeau et al. 10.1016/j.jhydrol.2022.128236
36. Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations M. Durand et al. 10.1029/2021AV000455
37. An improved Terra–Aqua MODIS snow cover and Randolph Glacier Inventory 6.0 combined product (MOYDGL06*) for high-mountain Asia between 2002 and 2018 S. Muhammad & A. Thapa 10.5194/essd-12-345-2020
38. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows H. Aasen et al. 10.3390/rs10071091
39. Role of Unmanned Aerial Systems for Natural Resource Management P. Mishra & A. Rai 10.1007/s12524-020-01230-4
40. Comparing and combining data-driven and model-driven approaches to monitor wheat green area index with high spatio-temporal resolution satellites M. Dong et al. 10.1016/j.rse.2024.114118
41. Fetching Ecosystem Monitoring Data in Extreme Areas via a Drone-Enabled Internet of Remote Things M. Zhang et al. 10.1109/JIOT.2022.3195302
42. Sliding Time Master Digital Image Correlation Analyses of CubeSat Images for landslide Monitoring: The Rattlesnake Hills Landslide (USA) P. Mazzanti et al. 10.3390/rs12040592
43. Tipping Bucket Rain Gauges in Hydrological Research: Summary on Measurement Uncertainties, Calibration, and Error Reduction Strategies D. Segovia-Cardozo et al. 10.3390/s23125385
44. Time Series Analysis for the Adaptive Prediction of Total Phosphorus in the Yangtze River: A Machine Learning Approach T. Ma & X. Chen 10.3390/w17040603
45. Estimating rainfall intensity from surveillance audio: A hybrid model-data-driven framework X. Wang et al. 10.1016/j.jhydrol.2025.133295
46. Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A Stochastic Approach Based on Training Images F. Oriani et al. 10.1109/TGRS.2020.3008015
47. Do satellite-based products suffice for rainfall observations over data-sparse complex terrains? Evidence from the North-Western Himalayas A. Dogra et al. 10.1016/j.rse.2023.113855
48. Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments S. Jiang et al. 10.1029/2021WR030185
49. Partitioning evapotranspiration and its long-term evolution in a dry pine forest using measurement-based estimates of soil evaporation R. Qubaja et al. 10.1016/j.agrformet.2019.107831
50. Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition S. Wang et al. 10.1016/j.isprsjprs.2019.06.017
51. Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends A. Saha & S. Chandra Pal 10.1016/j.jhydrol.2024.130907
52. Advances in uncertainty quantification for water resources applications V. Ciriello et al. 10.1007/s00477-021-01998-y
53. Disruptive Technologies for Improving Water Security in Large River Basins N. Harshadeep & W. Young 10.3390/w12102783
54. Estimation of water storage changes in small endorheic lakes in Northern Kazakhstan V. Yapiyev et al. 10.1016/j.jaridenv.2018.09.008
55. Event-based hydrology and sedimentation in paired watersheds under commercial eucalyptus and grasslands in the Brazilian Pampa biome É. Ebling et al. 10.1016/j.iswcr.2020.10.008
56. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
57. Toward catchment hydro‐biogeochemical theories L. Li et al. 10.1002/wat2.1495
58. Use of unmanned aerial vehicles for efficient beach litter monitoring C. Martin et al. 10.1016/j.marpolbul.2018.04.045
59. Estimating Stream Bank and Bed Erosion and Deposition with Innovative and Traditional Methods P. Koutalakis et al. 10.3390/land13020232
60. Using rapid repeat SAR interferometry to improve hydrodynamic models of flood propagation in coastal wetlands X. Zhang et al. 10.1016/j.advwatres.2021.104088
61. Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data N. Sazib et al. 10.3390/rs10081265
62. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
63. The Value of Distributed High-Resolution UAV-Borne Observations of Water Surface Elevation for River Management and Hydrodynamic Modeling L. Jiang et al. 10.3390/rs12071171
64. An Assessment of the Impacts of Climate Variability and Change in KwaZulu-Natal Province, South Africa M. Ndlovu et al. 10.3390/atmos12040427
65. Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance K. Hwang et al. 10.1029/2022EF003314
66. A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality M. Diganta et al. 10.1016/j.scitotenv.2024.177180
67. A novel quality control model of rainfall estimation with videos – A survey based on multi-surveillance cameras X. Wang et al. 10.1016/j.jhydrol.2021.127312
68. Estimation of surface runoff using satellite data in arid regions: case study of Jalajil Dam R. Alharbi 10.1007/s12517-023-11726-1
69. Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future W. Jiao et al. 10.1016/j.rse.2021.112313
70. Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
71. Understanding the response of fruit crops to drought stress and irrigation needs under climate change conditi N. Čereković et al. 10.63356/agrores.2025.007
72. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions J. Sheffield et al. 10.1029/2017WR022437
73. Spatial analysis approaches for the evaluation and protection of groundwater resources in large watersheds of the Canadian Shield S. Nadeau et al. 10.1007/s10040-021-02367-3
74. Flood Mapping Proposal in Small Watersheds: A Case Study of the Rebollos and Miranda Ephemeral Streams (Cartagena, Spain) V. Betancourt-Suárez et al. 10.3390/w13010102
75. Global Sensitivity of Simulated Water Balance Indicators Under Future Climate Change in the Colorado Basin K. Bennett et al. 10.1002/2017WR020471
76. Modeling the behavior of water reservoir operators via eigenbehavior analysis M. Giuliani & J. Herman 10.1016/j.advwatres.2018.10.021
77. Multisource remote sensing data facilitate ecohydrological simulations without runoff calibration D. Yang et al. 10.1002/hyp.14773
78. Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles L. Nhamo et al. 10.3390/agriculture10070256
79. Water Balance in Alpine Catchments by Sentinel Data R. Perico et al. 10.1029/2021WR031355
80. Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects K. Johansen et al. 10.3390/rs10060854
81. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
82. Global Assessment of the Standardized Evapotranspiration Deficit Index (SEDI) for Drought Analysis and Monitoring S. Vicente-Serrano et al. 10.1175/JCLI-D-17-0775.1
83. A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists C. Shen 10.1029/2018WR022643
84. Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
85. Towards SDG 15: Using Remote Sensing to Restore Our Lands, From the Coastal Fringe to the Deep Desert J. Blanco-Sacristán et al. 10.3389/frym.2024.1393515
86. Paying more attention on backgrounds: Background-centric attention for UAV detection X. Lin et al. 10.1016/j.neunet.2025.107182
87. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
88. Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review U. Iqbal et al. 10.3390/drones7010032
89. Toward a definition of Essential Mountain Climate Variables J. Thornton et al. 10.1016/j.oneear.2021.05.005
90. Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
91. The application of satellite sensors, current state of utilization, and sources of remote sensing dataset in hydrology for water resource management D. Abegeja 10.2166/wh.2024.102
92. Harnessing big data to rethink land heterogeneity in Earth system models N. Chaney et al. 10.5194/hess-22-3311-2018
93. Research on the Method of Rainfall Field Retrieval Based on the Combination of Earth–Space Links and Horizontal Microwave Links Y. Zhao et al. 10.3390/rs14092220
94. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al. 10.1029/2021WR029643
95. High spatial resolution monitoring land surface energy, water and CO2 fluxes from an Unmanned Aerial System S. Wang et al. 10.1016/j.rse.2019.03.040
96. Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status A. Carella et al. 10.3390/horticulturae10050516
97. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev 10.31857/S0321059623700025
98. Evaluating the Global State of Ecosystems and Natural Resources: Within and Beyond the SDGs C. Dickens et al. 10.3390/su12187381
99. A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat S. Shah et al. 10.3390/rs11080920
100. Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. 10.1016/j.jhydrol.2017.12.025
101. A validation study of citizen science-based rainfall observation X. Wang et al. 10.1088/1361-6501/ad3be2
102. Small Arctic rivers mapped from Sentinel-2 satellite imagery and ArcticDEM X. Lu et al. 10.1016/j.jhydrol.2020.124689
103. Citizen science for hydrological risk reduction and resilience building J. Paul et al. 10.1002/wat2.1262
104. Optimal Temporal Filtering of the Cosmic-Ray Neutron Signal to Reduce Soil Moisture Uncertainty P. Davies et al. 10.3390/s22239143
105. Large-scale sensitivities of groundwater and surface water to groundwater withdrawal M. Bierkens et al. 10.5194/hess-25-5859-2021
106. Tracking Dynamic Northern Surface Water Changes with High-Frequency Planet CubeSat Imagery S. Cooley et al. 10.3390/rs9121306
107. Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward? H. Wheater 10.1016/j.envsoft.2025.106561
108. A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay 10.3390/agronomy10010140
109. Satellite Video Remote Sensing for Flood Model Validation C. Masafu & R. Williams 10.1029/2023WR034545
110. Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al. 10.1109/ACCESS.2021.3076781
111. Evapotranspiration Variations of the Minjiang River Basin in Southeastern China from 2000 to 2019 Y. Lu et al. 10.3390/atmos13040562
112. On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance A. Dasgupta et al. 10.1029/2020WR028238
113. Synergistic Effects of High‐Resolution Factors for Improving Soil Moisture Simulations Over China P. Ji et al. 10.1029/2023WR035513
114. Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018 R. Tortini et al. 10.5194/essd-12-1141-2020
115. Quality analysis of water level series obtained by altimetric radar satellite along the São Francisco River L. Martins et al. 10.1590/2318-0331.262120210069
116. Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling J. Gao et al. 10.3390/rs9111142
117. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
118. An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products X. Li et al. 10.3390/rs13040719
119. Water Resources in Africa under Global Change: Monitoring Surface Waters from Space F. Papa et al. 10.1007/s10712-022-09700-9
120. Divergent vegetation greening's direct impacts on land-atmosphere water and carbon exchanges in the northeastern Tibetan Plateau Y. Luo et al. 10.1016/j.gloplacha.2025.104825
121. Drone-Enabled Internet-of-Things Relay for Environmental Monitoring in Remote Areas Without Public Networks M. Zhang & X. Li 10.1109/JIOT.2020.2988249
122. A new robust discharge estimation method applied in the context of SWOT satellite data processing I. Gejadze et al. 10.1016/j.jhydrol.2022.127909
123. Ground-Based Soil Moisture Retrieval Using the Correlation Between Dual-Polarization GNSS-R Interference Patterns M. El Hajj et al. 10.1109/TGRS.2023.3337841
124. Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines K. Johansen et al. 10.1016/j.jclepro.2018.10.287
125. Evapotranspiration, gross primary productivity and water use efficiency over a high-density olive orchard using ground and satellite based data J. Elfarkh et al. 10.1016/j.agwat.2023.108423
126. Crop coefficient and water requirement for oil palm (Elaeis guineensis Jacq.) on the nursery based on radiation evaporation method N. Ichwan et al. 10.1088/1755-1315/260/1/012041
127. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
128. 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
129. Advances in the Remote Sensing of Terrestrial Evaporation M. McCabe et al. 10.3390/rs11091138
130. Quantifying mangrove carbon assimilation rates using UAV imagery J. Blanco-Sacristán et al. 10.1038/s41598-024-55090-w
131. Monitoring Total Suspended Solids and Chlorophyll-a Concentrations in Turbid Waters: A Case Study of the Pearl River Estuary and Coast Using Machine Learning J. Liu et al. 10.3390/rs15235559
132. Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications S. Topp et al. 10.3390/w12010169
133. Dye tracing and concentration mapping in coastal waters using unmanned aerial vehicles K. Johansen et al. 10.1038/s41598-022-05189-9
134. A database system for querying of river networks: facilitating monitoring and prediction applications E. Bollen et al. 10.2166/ws.2021.433
135. Estimating rainfall intensity based on surveillance audio and deep-learning M. Wang et al. 10.1016/j.ese.2024.100450
136. Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation M. Xian et al. 10.3390/rs12213598
137. Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al. 10.1029/2023EA002909
138. Detecting Streamflow in Dryland Rivers Using CubeSats Z. Wang & E. Vivoni 10.1029/2022GL098729
139. High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales L. Estes et al. 10.3389/frai.2021.744863
140. Winter Wheat Yield Estimation Based on Sparrow Search Algorithm Combined with Random Forest: A Case Study in Henan Province, China X. Shi et al. 10.1007/s11769-024-1421-1
141. Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications T. Franz et al. 10.3389/frwa.2020.00009
142. An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifers M. Cao et al. 10.1016/j.watres.2024.122706
143. Numerical Insights Into the Effects of Model Geometric Distortion in Laboratory Experiments of Urban Flooding X. Li et al. 10.1029/2019WR026774
144. A Basin Approach to a Hydrological Service Delivery System in the Amur River Basin S. Borsch et al. 10.3390/geosciences8030093
145. Advances and challenges in the water sciences in Brazil: a community synthesis of the XXIII Brazilian Water Resources Symposium R. Paiva et al. 10.1590/2318-0331.252020200136
146. Large‐Domain Multisite Precipitation Generation: Operational Blueprint and Demonstration for 1,000 Sites S. Papalexiou et al. 10.1029/2022WR034094
147. Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
148. Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment C. Han et al. 10.3390/rs12061045
149. Editorial – Towards FAIR and SQUARE hydrological data C. Cudennec et al. 10.1080/02626667.2020.1739397
150. Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links C. Gianoglio et al. 10.3390/s23031202
151. Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China Q. Wang et al. 10.3390/w12113243
152. Rainfall observation using surveillance audio X. Wang et al. 10.1016/j.apacoust.2021.108478
153. BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt C. Jiang et al. 10.5194/hess-24-1251-2020
154. A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies S. Lindersson et al. 10.1002/wat2.1424
155. The activities of the international precipitation working group V. Levizzani et al. 10.1002/qj.3214
156. Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al. 10.3390/hydrology6030065
157. Synergistic Use of Ground-Based GNSS-R and Sentinel-2 Imagery for Soil Moisture Estimation Across an Irrigated Grassland M. El Hajj et al. 10.1109/TGRS.2025.3555000
158. Reliability of satellite-derived precipitation data in driving hydrological simulations: A case study of the upper Huaihe River basin, China F. Chen et al. 10.1016/j.jhydrol.2022.128076
159. Overcoming the Challenges of Thermal Infrared Orthomosaics Using a Swath-Based Approach to Correct for Dynamic Temperature and Wind Effects Y. Malbéteau et al. 10.3390/rs13163255
160. Embracing large language model (LLM) technologies in hydrology research Z. Ma et al. 10.1088/3033-4942/addd43
161. Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model M. Ziliani et al. 10.1016/j.agrformet.2021.108736
162. An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. 10.5194/essd-15-2755-2023
163. HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al. 10.5194/hess-29-465-2025
164. Land–atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges D. Miralles et al. 10.1111/nyas.13912
165. Water accounting for water management at the river basin scale in India: approaches and gaps N. Bassi et al. 10.2166/wp.2020.080
166. Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data G. Weikmann et al. 10.1109/JSTARS.2023.3294107
167. K-sharp: A segmented regression approach for image sharpening and normalization B. Aragon et al. 10.1016/j.srs.2023.100095
168. Near-infrared surveillance video-based rain gauge X. Wang et al. 10.1016/j.jhydrol.2023.129173
169. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al. 10.1080/02626667.2021.1873346
170. The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission Z. Yan et al. 10.1029/2023JB027157
171. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
172. Predicting Channel Conveyance and Characterizing Planform Using River Bathymetry via Satellite Image Compilation (RiBaSIC) Algorithm for DEM-Based Hydrodynamic Modeling M. Bhuyian & A. Kalyanapu 10.3390/rs12172799
173. Satellite-Enabled Internet of Remote Things Network Transmits Field Data from the Most Remote Areas of the Tibetan Plateau Y. Chen et al. 10.3390/s22103713
174. Statistical Study of Rainfall Inversion Using the Earth-Space Link at the Ku Band: Optimization and Validation for 1 Year of Data Y. Zhao et al. 10.1109/JSTARS.2021.3111336
175. Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges F. Nardi et al. 10.1080/02626667.2020.1849707
176. Winter storm Uri and temporary drought relief in the western climate divisions of Texas A. Veettil et al. 10.1016/j.scitotenv.2022.155336
177. Monitoring spatially heterogeneous riparian vegetation around permanent waterholes: A method to integrate LiDAR and Landsat data for enhanced ecological interpretation of Landsat fPAR time-series M. Henriques et al. 10.1016/j.rse.2024.114382
178. Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors Y. Angel et al. 10.3390/rs12010034
179. Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data R. Houborg & M. McCabe 10.3390/rs10060890
180. Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. 10.1002/hyp.14463
181. Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
182. Water-energy-food nexus: Concepts, questions and methodologies C. Zhang et al. 10.1016/j.jclepro.2018.05.194
183. Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China Y. Zhang et al. 10.1016/j.atmosres.2021.105850
184. Constraining Mountain Streamflow Constituents by Integrating Citizen Scientist Acquired Geochemical Samples and Sentinel‐1 SAR Wet Snow Time‐Series for the Shimshal Catchment in the Karakoram Mountains of Pakistan J. Lund et al. 10.1029/2022WR032171
185. Assimilation of NDVI data in a land surface – Vegetation model for leaf area index predictions in a tree-grass ecosystem N. Montaldo et al. 10.1080/17538947.2023.2259226
186. Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels F. Li et al. 10.5194/hess-23-949-2019
187. Threshold trigger embedded gas sensor for low-power and real-time atmospheric NO2 monitoring using drones M. Chae et al. 10.1016/j.cej.2025.160605
188. Unpiloted Aerial Vehicle (UAV) image velocimetry for validation of two-dimensional hydraulic model simulations C. Masafu et al. 10.1016/j.jhydrol.2022.128217
189. Spatial assessment of the performance of multiple high‐resolution satellite‐based precipitation data sets over the Middle East A. El Kenawy et al. 10.1002/joc.5968
190. Supervised multi-regional segmentation machine learning architecture for digital twin applications in coastal regions M. Ahmadi et al. 10.1007/s11852-024-01038-1
191. Emerging trends in global freshwater availability M. Rodell et al. 10.1038/s41586-018-0123-1
192. Monitoring coastal water flow dynamics using sub-daily high-resolution SkySat satellite and UAV-based imagery K. Johansen et al. 10.1016/j.watres.2022.118531
193. Automated Extraction of Surface Water Extent from Sentinel-1 Data W. Huang et al. 10.3390/rs10050797
194. Progress in Developing Scale-Able Approaches to Field-Scale Water Accounting Based on Remote Sensing R. Vervoort et al. 10.3390/su14052732
195. Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data J. Jiang et al. 10.1080/15481603.2022.2083791
196. Constraining the Assimilation of SWOT Observations With Hydraulic Geometry Relations K. Andreadis et al. 10.1029/2019WR026611
197. Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al. 10.1016/j.envsoft.2024.106094
198. Design flood estimation for global river networks based on machine learning models G. Zhao et al. 10.5194/hess-25-5981-2021
199. Multiple Spatial and Temporal Scales Evaluation of Eight Satellite Precipitation Products in a Mountainous Catchment of South China B. Guo et al. 10.3390/rs15051373
200. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning R. Houborg & M. McCabe 10.1016/j.isprsjprs.2017.10.004
201. Rule-based safety prediction models for rural two-lane run-off-road crashes S. Das et al. 10.1016/j.ijtst.2020.08.001
202. Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes P. Sun et al. 10.1016/j.scitotenv.2019.134064
203. HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community C. Shen et al. 10.5194/hess-22-5639-2018
204. Mapping Apennines river paths along different hydrological conditions from satellite images: A description of the method and potential applications S. Giacomelli et al. 10.1002/rra.4182
205. Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
206. Managing data of sensor-equipped transportation networks using graph databases E. Bollen et al. 10.5194/gi-13-353-2024
207. Fusion of Multi-Satellite Data and Artificial Neural Network for Predicting Total Discharge J. Seo & S. Lee 10.3390/rs12142248
208. Nordic hydrological frontier in the 21st century H. Marttila et al. 10.2166/nh.2022.120
209. Event‐Based Evaluation of the GPM Multisatellite Merged Precipitation Product From 2014 to 2018 Over China: Methods and Results R. Li et al. 10.1029/2020JD033692
210. Reconstructing monthly 0.25° terrestrial evapotranspiration data in a remote arid region using Bayesian-driven ensemble learning method F. Ochege et al. 10.1016/j.jhydrol.2024.131115
211. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev 10.1134/S0097807823700021
212. Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data Collection Technologies A. Hsu et al. 10.3389/fdata.2020.00029
213. Drought: A Common Environmental Disaster I. Orimoloye et al. 10.3390/atmos13010111
214. Mobile phone technologies for disaster risk reduction J. Paul et al. 10.1016/j.crm.2021.100296
215. Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
216. Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions J. Melack & L. Hess 10.1016/j.aquabot.2022.103592
217. Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al. 10.1111/jfr3.12895
218. Remote sensing of river corridors: A review of current trends and future directions C. Tomsett & J. Leyland 10.1002/rra.3479
219. Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index L. Bouaziz et al. 10.1029/2019WR026365
220. CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation M. McCabe et al. 10.1002/2017WR022240
221. Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico S. Arciniega-Esparza et al. 10.1016/j.jhydrol.2025.133826
222. Improving parameter regionalization learning for spatialized differentiable hydrological models by assimilation of satellite-based soil moisture data M. Ettalbi et al. 10.1016/j.jhydrol.2025.133300
223. Integrated approaches to understanding and reducing drought impact on food security across scales X. He et al. 10.1016/j.cosust.2019.09.006
224. Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate V. Levizzani & E. Cattani 10.3390/rs11192301
225. Actual Evapotranspiration from UAV Images: A Multi-Sensor Data Fusion Approach A. Mokhtari et al. 10.3390/rs13122315
226. Low-cost electronic sensors for environmental research: Pitfalls and opportunities K. Chan et al. 10.1177/0309133320956567
227. A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria B. Zerouali et al. 10.1007/s00704-021-03883-8
228. Monitoring water crisis from space across a Mediterranean region W. Baba et al. 10.1038/s41598-025-06240-1
229. Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges F. Jonard et al. 10.1016/j.agrformet.2020.108088
230. Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model Y. Lu et al. 10.1016/j.agwat.2021.106884
231. Assessing remote sensing as a tool to monitor hydrological stress in Irish catchments with Freshwater Pearl Mussel populations M. Kuemmerlen et al. 10.1016/j.scitotenv.2021.150807
232. Rainfall Monitoring Based on Machine Learning by Earth-Space Link in the Ku Band M. Xian et al. 10.1109/JSTARS.2020.3004375
233. Predicting algal blooms: Are we overlooking groundwater? A. Brookfield et al. 10.1016/j.scitotenv.2020.144442
234. Mediterranean intermittent rivers and ephemeral streams: Challenges in monitoring complexity A. Borg Galea et al. 10.1002/eco.2149
235. Significant stream chemistry response to temperature variations in a high-elevation mountain watershed W. Zhi et al. 10.1038/s43247-020-00039-w
236. Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates S. Saxe et al. 10.5194/hess-25-1529-2021
237. A new pixel-to-object method for evaluating the capability of the GPM IMERG product to quantify precipitation systems R. Li et al. 10.1016/j.jhydrol.2022.128476
238. Surveillance audio-based rainfall observation: An enhanced strategy for extreme rainfall observation X. Wang et al. 10.1016/j.apacoust.2023.109581
239. Streamflow Generation From Catchments of Contrasting Lithologies: The Role of Soil Properties, Topography, and Catchment Size D. Xiao et al. 10.1029/2018WR023736
240. Large-scale flash flood warning in China using deep learning G. Zhao et al. 10.1016/j.jhydrol.2021.127222
241. Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry S. Hubbard et al. 10.1002/hyp.13807
242. The radiometric accuracy of the 8-band multi-spectral surface reflectance from the planet SuperDove constellation Y. Tu et al. 10.1016/j.jag.2022.103035
243. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
244. Experimental and Numerical Study of the Effect of Model Geometric Distortion on Laboratory Modeling of Urban Flooding X. Li et al. 10.1029/2021WR029666
245. Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring H. Messer 10.3390/environments5070073
246. Temporal interpolation of land surface fluxes derived from remote sensing – results with an unmanned aerial system S. Wang et al. 10.5194/hess-24-3643-2020
247. A Novel Approach to Measuring Urban Waterlogging Depth from Images Based on Mask Region-Based Convolutional Neural Network J. Huang et al. 10.3390/su12052149
248. Microwave Resolution Enhancement Using Distributed Small Spacecraft Architectures T. Himani & A. Jones 10.1109/TGRS.2020.3034541
249. Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America M. Tarek et al. 10.5194/hess-24-2527-2020
250. Soil hydrology in the Earth system H. Vereecken et al. 10.1038/s43017-022-00324-6
251. Potential Added Value of Incorporating Human Water Use on the Simulation of Evapotranspiration and Precipitation in a Continental‐Scale Bedrock‐to‐Atmosphere Modeling System: A Validation Study Considering Observational Uncertainty J. Keune et al. 10.1029/2019MS001657
252. Revealing potential areas of water resources using integrated remote-sensing data and GIS-based analytical hierarchy process M. Abdelkareem & F. Abdalla 10.1080/10106049.2021.2005155
253. A New Orbiting Deployable System for Small Satellite Observations for Ecology and Earth Observation E. Martellato et al. 10.3390/rs14092066
254. Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors C. Brogi et al. 10.3390/s23052378
255. Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions J. Lee et al. 10.5194/amt-16-707-2023
256. Estimation of Small-Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning R. Szostak et al. 10.3390/rs16081458
257. Advances in the application of smartphones in hydrology L. Li et al. 10.1080/02508060.2023.2204636
258. Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area L. de Vos et al. 10.1175/BAMS-D-19-0091.1
259. Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China M. Cheng et al. 10.1016/j.agrformet.2022.109057
260. Response time of global deltas to changes in fluvial sediment supply J. Wang et al. 10.1038/s41467-025-60531-9
261. Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. 10.5194/hess-26-3419-2022
262. Deep shared proxy construction hashing for cross-modal remote sensing image fast target retrieval L. Han et al. 10.1016/j.isprsjprs.2024.10.004
263. Information Communication and Computation Technologies (ICCT) for Agricultural and Environmental Information Systems for Society 5.0 S. Aithal & P. Aithal 10.47992/IJAEML.2581.7000.0213
264. Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects J. Chen et al. 10.1029/2021EF002289
265. Assessing Hydrological Modelling Driven by Different Precipitation Datasets via the SMAP Soil Moisture Product and Gauged Streamflow Data L. Yi et al. 10.3390/rs10121872
266. An improved representative of stomatal models for predicting diurnal stomatal conductance at low irradiance and vapor pressure deficit in tropical rainforest trees W. Xue et al. 10.1016/j.agrformet.2024.110098
267. Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine Q. Wu et al. 10.1016/j.rse.2019.04.015
268. Exploring the use of underground gravity monitoring to evaluate radar estimates of heavy rainfall L. Delobbe et al. 10.5194/hess-23-93-2019
269. Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests P. Broxton & W. van Leeuwen 10.3390/rs12142311
270. The pantropical response of soil moisture to El Niño K. Solander et al. 10.5194/hess-24-2303-2020
271. A blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes I. Mohammed et al. 10.1016/j.isprsjprs.2020.01.024
272. Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities P. Stoy et al. 10.5194/bg-16-3747-2019
273. Predicting land susceptibility to atmospheric dust emissions in central Iran by combining integrated data mining and a regional climate model H. Gholami et al. 10.1016/j.apr.2021.03.005
274. Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle Y. Malbéteau et al. 10.3390/rs10091407
275. Climatological and Hydrological Observations for the South American Andes: In situ Stations, Satellite, and Reanalysis Data Sets T. Condom et al. 10.3389/feart.2020.00092
276. Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models C. Talsma et al. 10.3390/rs10101601
277. Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management G. Petropoulos et al. 10.3390/su10010181
278. Watershed Reactive Transport L. Li 10.2138/rmg.2018.85.13
279. Evaluation of Heavy Precipitation Simulated by the WRF Model Using 4D-Var Data Assimilation with TRMM 3B42 and GPM IMERG over the Huaihe River Basin, China L. Yi et al. 10.3390/rs10040646
280. Soil Temperature, Environment, and Moisture Monitoring Network—a low-cost sensing network for Alabama N. Perlaky et al. 10.1007/s10661-025-14166-4
281. A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data R. Houborg & M. McCabe 10.1016/j.rse.2018.02.067
282. Decision-support systems for water management C. Wardropper & A. Brookfield 10.1016/j.jhydrol.2022.127928
283. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2
284. Introducing of modeling techniques in the research of POPs in breast milk – A pilot study G. Jovanović et al. 10.1016/j.ecoenv.2019.01.087
285. How well does the IMERG satellite precipitation product capture the timing of precipitation events? R. Li et al. 10.1016/j.jhydrol.2023.129563
286. Deep learning for water quality W. Zhi et al. 10.1038/s44221-024-00202-z
287. Spatial heterogeneity of agricultural evapotranspiration as quantified by satellite and flux tower sources A. Goodwell et al. 10.1016/j.agrformet.2025.110608
288. Causes and implications of groundwater depletion in India: A review S. Dangar et al. 10.1016/j.jhydrol.2021.126103
289. Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach O. López Valencia et al. 10.5194/hess-24-5251-2020
290. An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors J. JuanManuel et al. 10.1109/JSTARS.2021.3088945
291. Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery K. Johansen et al. 10.1016/j.isprsjprs.2020.04.017
292. Mapping the Natural Distribution of Bamboo and Related Carbon Stocks in the Tropics Using Google Earth Engine, Phenological Behavior, Landsat 8, and Sentinel-2 M. Venkatappa et al. 10.3390/rs12183109
293. Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV M. Ziliani et al. 10.3390/rs10122007
294. Planning remote sensing emergency services: Bridging the gap between remote sensing science and emergency practice in China X. Zheng et al. 10.1016/j.ssci.2021.105346
295. CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions B. Aragon et al. 10.1038/s41598-021-91646-w
296. Identifying ENSO-related interannual and decadal variability on terrestrial water storage S. Cheon et al. 10.1038/s41598-021-92729-4
297. Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al. 10.1080/02626667.2024.2333846
298. Digital insights: bridging the phenotype-to-genotype divide M. McCabe & M. Tester 10.1093/jxb/erab108
299. Remote Sensing Satellites for Land Applications: A Review S. Kumar & V. Bhagat 10.21523/gcj1.18020203
300. Climate data empathy S. Brönnimann & J. Wintzer 10.1002/wcc.559
301. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
302. Knowledge formalization for Earth Science informed decision-making: The GEOEssential Knowledge Base P. Mazzetti et al. 10.1016/j.envsci.2021.12.023
303. Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al. 10.5194/gmd-14-821-2021
304. Forecasting drought using machine learning: a systematic literature review R. Oyarzabal et al. 10.1007/s11069-025-07195-2
305. A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and Multispectral Images Fusion Y. Wang et al. 10.3390/rs13244967
306. Machine Learning‐Based Modeling of Vegetation Leaf Area Index and Gross Primary Productivity Across North America and Comparison With a Process‐Based Model Z. Zhang et al. 10.1029/2021MS002802
307. CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture B. Aragon et al. 10.3390/rs10121867
308. Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
309. A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall F. Lombardo et al. 10.1002/2017WR020529
310. Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
311. A non-linear Granger-causality framework to investigate climate–vegetation dynamics C. Papagiannopoulou et al. 10.5194/gmd-10-1945-2017
312. Scaling, similarity, and the fourth paradigm for hydrology C. Peters-Lidard et al. 10.5194/hess-21-3701-2017
313. UAV-DEMs for Small-Scale Flood Hazard Mapping A. Annis et al. 10.3390/w12061717
314. Identifying reservoirs in northwestern Iran using high-resolution satellite images and deep learning K. Shi et al. 10.1080/10095020.2024.2358892