349 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.
2. A global hydrology research agenda fit for the 2030s R. Wilby
3. Denitrification in wetlands: A review towards a quantification at global scale C. Martínez-Espinosa et al.
4. Enhanced Satellite Monitoring of Reservoir Water Storage Variations in the Yangtze River Basin from 1990 to 2023 Y. Wang et al.
5. Personal weather stations in hydrology and meteorology: a review of applications, challenges and future directions P. Mazzoglio et al.
6. Reconstruction of Rainfall Field Using Earth–Space Links Network: A Compressed Sensing Approach Y. Zhao et al.
7. Integrating remote sensing and GIS-based AHP for flood hazard assessment in the Damodar River Basin, India M. Khadav et al.
8. Space-based observations of crustal deflections for drought characterization in Brazil V. Ferreira et al.
9. 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. A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al.
11. Recent advance in earth observation big data for hydrology L. Chen & L. Wang
12. The Global Water Cycle Budget: A Chronological Review M. Vargas Godoy et al.
13. The water resources of tropical West Africa: problems, progress, and prospects C. Ndehedehe
14. On the Interest of Optical Remote Sensing for Seasonal Snowmelt Parameterization, Applied to the Everest Region (Nepal) B. Bouchard et al.
15. The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield T. Franz et al.
16. Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al.
17. Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives Y. Li et al.
18. Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site Z. Li et al.
19. Estimating Fine‐Scale Transpiration From UAV‐Derived Thermal Imagery and Atmospheric Profiles B. Morgan & K. Caylor
20. On the Use of Unmanned Aerial Systems for Environmental Monitoring S. Manfreda et al.
21. 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.
22. Deep Learning for Satellite Image Time-Series Analysis: A review L. Miller et al.
23. Coupling between evapotranspiration, water use efficiency, and evaporative stress index strengthens after wildfires in New Mexico, USA R. Joshi et al.
24. Hydrological mass balance of boreal watersheds in the Canadian Shield S. Nadeau et al.
25. Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations M. Durand et al.
26. Tipping Bucket Rain Gauges in Hydrological Research: Summary on Measurement Uncertainties, Calibration, and Error Reduction Strategies D. Segovia-Cardozo et al.
27. Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A Stochastic Approach Based on Training Images F. Oriani et al.
28. Do satellite-based products suffice for rainfall observations over data-sparse complex terrains? Evidence from the North-Western Himalayas A. Dogra et al.
29. Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments S. Jiang et al.
30. Partitioning evapotranspiration and its long-term evolution in a dry pine forest using measurement-based estimates of soil evaporation R. Qubaja et al.
31. Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition S. Wang et al.
32. 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
33. Advances in uncertainty quantification for water resources applications V. Ciriello et al.
34. Disruptive Technologies for Improving Water Security in Large River Basins N. Harshadeep & W. Young
35. Event-based hydrology and sedimentation in paired watersheds under commercial eucalyptus and grasslands in the Brazilian Pampa biome É. Ebling et al.
36. Toward catchment hydro‐biogeochemical theories L. Li et al.
37. Use of unmanned aerial vehicles for efficient beach litter monitoring C. Martin et al.
38. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al.
39. Deep learning fusion modeling of reference evapotranspiration with multi-source remote sensing data through addressing noise impacts M. Sadeghzadeh et al.
40. The Value of Distributed High-Resolution UAV-Borne Observations of Water Surface Elevation for River Management and Hydrodynamic Modeling L. Jiang et al.
41. An Assessment of the Impacts of Climate Variability and Change in KwaZulu-Natal Province, South Africa M. Ndlovu et al.
42. A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality M. Diganta et al.
43. A novel quality control model of rainfall estimation with videos – A survey based on multi-surveillance cameras X. Wang et al.
44. Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al.
45. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions J. Sheffield et al.
46. Global Sensitivity of Simulated Water Balance Indicators Under Future Climate Change in the Colorado Basin K. Bennett et al.
47. Hydro-meteorological factors and human activities contribute comparably to weekly water quality dynamics in the Yangtze River Basin L. Li et al.
48. Multisource remote sensing data facilitate ecohydrological simulations without runoff calibration D. Yang et al.
49. Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects K. Johansen et al.
50. A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists C. Shen
51. Behind the scenes of streamflow model performance L. Bouaziz et al.
52. Towards SDG 15: Using Remote Sensing to Restore Our Lands, From the Coastal Fringe to the Deep Desert J. Blanco-Sacristán et al.
53. Paying more attention on backgrounds: Background-centric attention for UAV detection X. Lin et al.
54. Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review U. Iqbal et al.
55. Toward a definition of Essential Mountain Climate Variables J. Thornton et al.
56. Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al.
57. The application of satellite sensors, current state of utilization, and sources of remote sensing dataset in hydrology for water resource management D. Abegeja
58. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al.
59. Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status A. Carella et al.
60. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev
61. Evaluating the Global State of Ecosystems and Natural Resources: Within and Beyond the SDGs C. Dickens et al.
62. A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat S. Shah et al.
63. A validation study of citizen science-based rainfall observation X. Wang et al.
64. Small Arctic rivers mapped from Sentinel-2 satellite imagery and ArcticDEM X. Lu et al.
65. Optimal Temporal Filtering of the Cosmic-Ray Neutron Signal to Reduce Soil Moisture Uncertainty P. Davies et al.
66. Continuous data assimilation for the Richards equation of unsaturated flow: A computational study A. Rowley et al.
67. Large-scale sensitivities of groundwater and surface water to groundwater withdrawal M. Bierkens et al.
68. Tracking Dynamic Northern Surface Water Changes with High-Frequency Planet CubeSat Imagery S. Cooley et al.
69. Improving satellite remote sensing estimates of the global terrestrial water cycle via neural network modeling M. Heberger et al.
70. Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward? H. Wheater
71. Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al.
72. On the Impacts of Observation Location, Timing, and Frequency on Flood Extent Assimilation Performance A. Dasgupta et al.
73. Synergistic Effects of High‐Resolution Factors for Improving Soil Moisture Simulations Over China P. Ji et al.
74. Quality analysis of water level series obtained by altimetric radar satellite along the São Francisco River L. Martins et al.
75. 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.
76. A situated proposal for a grounded approach to socio-hydrology M. Zwarteveen et al.
77. An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products X. Li et al.
78. Water Resources in Africa under Global Change: Monitoring Surface Waters from Space F. Papa et al.
79. Divergent vegetation greening's direct impacts on land-atmosphere water and carbon exchanges in the northeastern Tibetan Plateau Y. Luo et al.
80. Ground-Based Soil Moisture Retrieval Using the Correlation Between Dual-Polarization GNSS-R Interference Patterns M. El Hajj et al.
81. Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines K. Johansen et al.
82. 100 Years of Progress in Hydrology C. Peters-Lidard et al.
83. Advances in the Remote Sensing of Terrestrial Evaporation M. McCabe et al.
84. 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.
85. Dye tracing and concentration mapping in coastal waters using unmanned aerial vehicles K. Johansen et al.
86. Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al.
87. An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifers M. Cao et al.
88. Numerical Insights Into the Effects of Model Geometric Distortion in Laboratory Experiments of Urban Flooding X. Li et al.
89. VideoARD: An Analysis-Ready Multi-Level Data Model for Remote Sensing Video Y. Wu et al.
90. Advances and challenges in the water sciences in Brazil: a community synthesis of the XXIII Brazilian Water Resources Symposium R. Paiva et al.
91. Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links C. Gianoglio et al.
92. 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.
93. A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies S. Lindersson et al.
94. Reliability of satellite-derived precipitation data in driving hydrological simulations: A case study of the upper Huaihe River basin, China F. Chen et al.
95. Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model M. Ziliani et al.
96. Data-driven attribution of evapotranspiration dynamics in the Heihe River Basin: Controlling factors from site measurements to regional satellite observations Z. Lin et al.
97. 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.
98. HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al.
99. Land–atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges D. Miralles et al.
100. The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission Z. Yan et al.
101. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al.
102. Predicting Channel Conveyance and Characterizing Planform Using River Bathymetry via Satellite Image Compilation (RiBaSIC) Algorithm for DEM-Based Hydrodynamic Modeling M. Bhuyian & A. Kalyanapu
103. 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.
104. Winter storm Uri and temporary drought relief in the western climate divisions of Texas A. Veettil et al.
105. Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al.
106. Hydraulic Simulation of Step–Pool Channels in Mountain Streams Using High-Density Topographic Observation S. Wakamatsu et al.
107. 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.
108. 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.
109. Assimilation of NDVI data in a land surface – Vegetation model for leaf area index predictions in a tree-grass ecosystem N. Montaldo et al.
110. A multi-scale intensive monitoring network for soil hydrological processes in semi-arid northwest China B. Zhang et al.
111. Threshold trigger embedded gas sensor for low-power and real-time atmospheric NO2 monitoring using drones M. Chae et al.
112. Unpiloted Aerial Vehicle (UAV) image velocimetry for validation of two-dimensional hydraulic model simulations C. Masafu et al.
113. Spatial assessment of the performance of multiple high‐resolution satellite‐based precipitation data sets over the Middle East A. El Kenawy et al.
114. Emerging trends in global freshwater availability M. Rodell et al.
115. Monitoring coastal water flow dynamics using sub-daily high-resolution SkySat satellite and UAV-based imagery K. Johansen et al.
116. Progress in Developing Scale-Able Approaches to Field-Scale Water Accounting Based on Remote Sensing R. Vervoort et al.
117. Evaluating satellite-derived evapotranspiration estimates against ground-based measurements in arid Upper Orange catchment, South Africa T. Dube et al.
118. Assessment of Precipitation and Soil Water Content and Their Effects on Evaporation in Haihe River Basin Based on Remote Sensing Technology Z. Shaoyi & S. Jichao
119. Multiple Spatial and Temporal Scales Evaluation of Eight Satellite Precipitation Products in a Mountainous Catchment of South China B. Guo et al.
120. HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community C. Shen et al.
121. Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al.
122. Nordic hydrological frontier in the 21st century H. Marttila et al.
123. Event‐Based Evaluation of the GPM Multisatellite Merged Precipitation Product From 2014 to 2018 Over China: Methods and Results R. Li et al.
124. Drought: A Common Environmental Disaster I. Orimoloye et al.
125. Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al.
126. Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al.
127. Remote sensing of river corridors: A review of current trends and future directions C. Tomsett & J. Leyland
128. Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index L. Bouaziz et al.
129. CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation M. McCabe et al.
130. Improving parameter regionalization learning for spatialized differentiable hydrological models by assimilation of satellite-based soil moisture data M. Ettalbi et al.
131. Integrated approaches to understanding and reducing drought impact on food security across scales X. He et al.
132. Low-cost electronic sensors for environmental research: Pitfalls and opportunities K. Chan et al.
133. A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria B. Zerouali et al.
134. Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges F. Jonard et al.
135. Mediterranean intermittent rivers and ephemeral streams: Challenges in monitoring complexity A. Borg Galea et al.
136. Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates S. Saxe et al.
137. A new pixel-to-object method for evaluating the capability of the GPM IMERG product to quantify precipitation systems R. Li et al.
138. Surveillance audio-based rainfall observation: An enhanced strategy for extreme rainfall observation X. Wang et al.
139. The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment A. Tarpanelli et al.
140. Streamflow Generation From Catchments of Contrasting Lithologies: The Role of Soil Properties, Topography, and Catchment Size D. Xiao et al.
141. Large-scale flash flood warning in China using deep learning G. Zhao et al.
142. Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry S. Hubbard et al.
143. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al.
144. A Novel Approach to Measuring Urban Waterlogging Depth from Images Based on Mask Region-Based Convolutional Neural Network J. Huang et al.
145. Microwave Resolution Enhancement Using Distributed Small Spacecraft Architectures T. Himani & A. Jones
146. Evaluating reanalysis datasets as meteorological input for estimating reference evapotranspiration in Africa and Southwest Asia B. Tran et al.
147. 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.
148. Revealing potential areas of water resources using integrated remote-sensing data and GIS-based analytical hierarchy process M. Abdelkareem & F. Abdalla
149. A New Orbiting Deployable System for Small Satellite Observations for Ecology and Earth Observation E. Martellato et al.
150. Estimation of Small-Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning R. Szostak et al.
151. Advances in the application of smartphones in hydrology L. Li et al.
152. Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area L. de Vos et al.
153. Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China M. Cheng et al.
154. Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al.
155. Deep shared proxy construction hashing for cross-modal remote sensing image fast target retrieval L. Han et al.
156. Information Communication and Computation Technologies (ICCT) for Agricultural and Environmental Information Systems for Society 5.0 S. Aithal & P. Aithal
157. 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.
158. Exploring the use of underground gravity monitoring to evaluate radar estimates of heavy rainfall L. Delobbe et al.
159. Research on Real-Time Rainfall Intensity Monitoring Methods Based on Deep Learning and Audio Signals in the Semi-Arid Region of Northwest China Y. Wang et al.
160. 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
161. Research on Multi-Source Precipitation Fusion Based on Classification and Regression Machine Learning Methods—A Case Study of the Min River Basin in the Eastern Source of the Qinghai–Tibet Plateau S. Liu et al.
162. Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle Y. Malbéteau et al.
163. Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models C. Talsma et al.
164. Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management G. Petropoulos et al.
165. Deep learning for water quality W. Zhi et al.
166. Spatial heterogeneity of agricultural evapotranspiration as quantified by satellite and flux tower sources A. Goodwell et al.
167. Causes and implications of groundwater depletion in India: A review S. Dangar et al.
168. Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach O. López Valencia et al.
169. Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery K. Johansen et al.
170. 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.
171. CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions B. Aragon et al.
172. Digital insights: bridging the phenotype-to-genotype divide M. McCabe & M. Tester
173. Remote Sensing Satellites for Land Applications: A Review S. Kumar & V. Bhagat
174. Climate data empathy S. Brönnimann & J. Wintzer
175. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al.
176. Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting K. Johansen et al.
177. Seasonal variations of vegetative indices and their correlation with evapotranspiration and soil water storage in a small agricultural catchment T. Li et al.
178. Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al.
179. The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models J. Koch et al.
180. Multivariate temperature prediction model based on CNN-BiLSTM and RandomForest X. Bai et al.
181. Towards Estimating Land Evaporation at Field Scales Using GLEAM B. Martens et al.
182. Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions L. Zhao et al.
183. Validation of the EUMETSAT CMSAF global interpolated gridded rainfall estimation (GIRAFE v1) dataset for Türkiye M. Pekin et al.
184. From Slide Rule to Big Data: How Data Science is Changing Water Science and Engineering J. Hering
185. From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale? W. Zhi et al.
186. Analysing River Systems with Time Series Data Using Path Queries in Graph Databases E. Bollen et al.
187. Plot-level field monitoring with Sentinel-2 and PlanetScope data for examination of sewage sludge disposal impact F. Kovács & Z. Ladányi
188. Developing Data‐Rich Video of Surface Water–Groundwater Interactions for Public Engagement C. Christenson et al.
189. Evaluations of MODIS and microwave based satellite evapotranspiration products under varied cloud conditions over East Asia forests Y. Wang et al.
190. Demystifying Earth Observation Through Co-Creation Pathways for Flood Resilience in Some African Informal Cities S. Yunus et al.
191. 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
192. 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.
193. Role of Unmanned Aerial Systems for Natural Resource Management P. Mishra & A. Rai
194. 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.
195. Fetching Ecosystem Monitoring Data in Extreme Areas via a Drone-Enabled Internet of Remote Things M. Zhang et al.
196. Sliding Time Master Digital Image Correlation Analyses of CubeSat Images for landslide Monitoring: The Rattlesnake Hills Landslide (USA) P. Mazzanti et al.
197. Time Series Analysis for the Adaptive Prediction of Total Phosphorus in the Yangtze River: A Machine Learning Approach T. Ma & X. Chen
198. Estimating rainfall intensity from surveillance audio: A hybrid model-data-driven framework X. Wang et al.
199. Estimation of water storage changes in small endorheic lakes in Northern Kazakhstan V. Yapiyev et al.
200. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al.
201. Estimating Stream Bank and Bed Erosion and Deposition with Innovative and Traditional Methods P. Koutalakis et al.
202. Using rapid repeat SAR interferometry to improve hydrodynamic models of flood propagation in coastal wetlands X. Zhang et al.
203. Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data N. Sazib et al.
204. Assessing the impact of computing infrastructure on transboundary water pollution control: Evidence from a quasi-natural experiment in China X. Liu et al.
205. Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance K. Hwang et al.
206. Estimation of surface runoff using satellite data in arid regions: case study of Jalajil Dam R. Alharbi
207. Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future W. Jiao et al.
208. Understanding the response of fruit crops to drought stress and irrigation needs under climate change conditi N. Čereković et al.
209. Spatial analysis approaches for the evaluation and protection of groundwater resources in large watersheds of the Canadian Shield S. Nadeau et al.
210. Flood Mapping Proposal in Small Watersheds: A Case Study of the Rebollos and Miranda Ephemeral Streams (Cartagena, Spain) V. Betancourt-Suárez et al.
211. Comparison of remote sensing feature tracking techniques using high-resolution UAV images for small mountain glacier surface velocity measurement S. Sheshangosht et al.
212. Modeling the behavior of water reservoir operators via eigenbehavior analysis M. Giuliani & J. Herman
213. Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles L. Nhamo et al.
214. Water Balance in Alpine Catchments by Sentinel Data R. Perico et al.
215. Altimetry river water level retrieval over complex environments: assessment and diagnosis of different strategies T. Xia et al.
216. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al.
217. Global Assessment of the Standardized Evapotranspiration Deficit Index (SEDI) for Drought Analysis and Monitoring S. Vicente-Serrano et al.
218. Assessing seasonal river-wetland connectivity using remote sensing-based monitoring in tropical environments D. Irvine et al.
219. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al.
220. Accuracy Assessment of Remote Sensing-Derived Evapotranspiration Products Against Eddy Covariance Measurements in Tensift Al-Haouz Semi-Arid Region, Morocco Y. Manyari et al.
221. Harnessing big data to rethink land heterogeneity in Earth system models N. Chaney et al.
222. Research on the Method of Rainfall Field Retrieval Based on the Combination of Earth–Space Links and Horizontal Microwave Links Y. Zhao et al.
223. High spatial resolution monitoring land surface energy, water and CO2 fluxes from an Unmanned Aerial System S. Wang et al.
224. Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al.
225. Citizen science for hydrological risk reduction and resilience building J. Paul et al.
226. Value of microwave soil moisture and thermal-infrared evapotranspiration retrievals for the mapping of irrigation coverage W. Crow et al.
227. A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay
228. Satellite Video Remote Sensing for Flood Model Validation C. Masafu & R. Williams
229. Evapotranspiration Variations of the Minjiang River Basin in Southeastern China from 2000 to 2019 Y. Lu et al.
230. Co-regulation of water use and canopy temperature in desert trees B. Morgan et al.
231. Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018 R. Tortini et al.
232. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al.
233. Drone-Enabled Internet-of-Things Relay for Environmental Monitoring in Remote Areas Without Public Networks M. Zhang & X. Li
234. A new robust discharge estimation method applied in the context of SWOT satellite data processing I. Gejadze et al.
235. Evapotranspiration, gross primary productivity and water use efficiency over a high-density olive orchard using ground and satellite based data J. Elfarkh et al.
236. Crop coefficient and water requirement for oil palm (Elaeis guineensis Jacq.) on the nursery based on radiation evaporation method N. Ichwan et al.
237. Ensemble flood forecasting: Current status and future opportunities W. Wu et al.
238. Quantifying mangrove carbon assimilation rates using UAV imagery J. Blanco-Sacristán et al.
239. Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications S. Topp et al.
240. A database system for querying of river networks: facilitating monitoring and prediction applications E. Bollen et al.
241. Estimating rainfall intensity based on surveillance audio and deep-learning M. Wang et al.
242. Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation M. Xian et al.
243. Detecting Streamflow in Dryland Rivers Using CubeSats Z. Wang & E. Vivoni
244. High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales L. Estes et al.
245. Winter Wheat Yield Estimation Based on Sparrow Search Algorithm Combined with Random Forest: A Case Study in Henan Province, China X. Shi et al.
246. Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications T. Franz et al.
247. A Basin Approach to a Hydrological Service Delivery System in the Amur River Basin S. Borsch et al.
248. Large‐Domain Multisite Precipitation Generation: Operational Blueprint and Demonstration for 1,000 Sites S. Papalexiou et al.
249. Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero
250. Investigation on the Informatization of Archives Management of Hydraulic Project Based on Internet of Things 康. 王
251. Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment C. Han et al.
252. Editorial – Towards FAIR and SQUARE hydrological data C. Cudennec et al.
253. Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China Q. Wang et al.
254. Rainfall observation using surveillance audio X. Wang et al.
255. Rainfall intensity estimation at night using deep learning and urban surveillance cameras in Jiangsu Province, China X. Wang et al.
256. Remote Sensing of Water: The Observation-to-Inference Arc Across Six Decades and Toward an AI-Native Future D. Ames
257. The activities of the international precipitation working group V. Levizzani et al.
258. Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al.
259. Synergistic Use of Ground-Based GNSS-R and Sentinel-2 Imagery for Soil Moisture Estimation Across an Irrigated Grassland M. El Hajj et al.
260. Overcoming the Challenges of Thermal Infrared Orthomosaics Using a Swath-Based Approach to Correct for Dynamic Temperature and Wind Effects Y. Malbéteau et al.
261. Embracing large language model (LLM) technologies in hydrology research Z. Ma et al.
262. Water accounting for water management at the river basin scale in India: approaches and gaps N. Bassi et al.
263. 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.
264. K-sharp: A segmented regression approach for image sharpening and normalization B. Aragon et al.
265. Near-infrared surveillance video-based rain gauge X. Wang et al.
266. Performance Superiority of Dual-Pair Cartwheel/Pendulum Over Bender-Type in Four-Satellite Gravity Constellations: An Equitable Evaluation Z. Zeng et al.
267. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al.
268. Satellite-Enabled Internet of Remote Things Network Transmits Field Data from the Most Remote Areas of the Tibetan Plateau Y. Chen et al.
269. Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges F. Nardi et al.
270. 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.
271. Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors Y. Angel et al.
272. Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data R. Houborg & M. McCabe
273. Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al.
274. A multidimensional vine copula hydrological analysis framework for assessing compound risks of blue and green water: Implications for integrated water resources management Y. Qiu et al.
275. Water-energy-food nexus: Concepts, questions and methodologies C. Zhang et al.
276. Hybrid process-based and deep learning for river nutrient prediction under limited monitoring data J. Tang et al.
277. Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels F. Li et al.
278. Supervised multi-regional segmentation machine learning architecture for digital twin applications in coastal regions M. Ahmadi et al.
279. Automated Extraction of Surface Water Extent from Sentinel-1 Data W. Huang et al.
280. Improving total phosphorus prediction and monitoring in data scarce streams using a hybrid machine learning framework A. Kumar & K. Zhang
281. Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data J. Jiang et al.
282. Exploring the Potential of Sub-daily Microwave Remote Sensing Observations for Estimating Evaporation in Forests E. Tronquo et al.
283. Constraining the Assimilation of SWOT Observations With Hydraulic Geometry Relations K. Andreadis et al.
284. Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al.
285. Design flood estimation for global river networks based on machine learning models G. Zhao et al.
286. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning R. Houborg & M. McCabe
287. Rule-based safety prediction models for rural two-lane run-off-road crashes S. Das et al.
288. Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes P. Sun et al.
289. Mapping Apennines river paths along different hydrological conditions from satellite images: A description of the method and potential applications S. Giacomelli et al.
290. Managing data of sensor-equipped transportation networks using graph databases E. Bollen et al.
291. Fusion of Multi-Satellite Data and Artificial Neural Network for Predicting Total Discharge J. Seo & S. Lee
292. Reconstructing monthly 0.25° terrestrial evapotranspiration data in a remote arid region using Bayesian-driven ensemble learning method F. Ochege et al.
293. БПЛА в геоэкологических и гидрологических исследованиях . Федоровский
294. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev
295. Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data Collection Technologies A. Hsu et al.
296. High-Resolution Stress Detection in Crops: Integrating Satellite and Drone Remote Sensing for Resilient Agriculture C. Ojeilua et al.
297. Mobile phone technologies for disaster risk reduction J. Paul et al.
298. Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions J. Melack & L. Hess
299. Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al.
300. Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico S. Arciniega-Esparza et al.
301. Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate V. Levizzani & E. Cattani
302. Actual Evapotranspiration from UAV Images: A Multi-Sensor Data Fusion Approach A. Mokhtari et al.
303. Monitoring water crisis from space across a Mediterranean region W. Baba et al.
304. Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model Y. Lu et al.
305. Assessing remote sensing as a tool to monitor hydrological stress in Irish catchments with Freshwater Pearl Mussel populations M. Kuemmerlen et al.
306. Rainfall Monitoring Based on Machine Learning by Earth-Space Link in the Ku Band M. Xian et al.
307. Predicting algal blooms: Are we overlooking groundwater? A. Brookfield et al.
308. Comparison of methods for green cover assessment: Options of aerial photography and satellite imagery in Japanese municipalities Y. Sofue et al.
309. Significant stream chemistry response to temperature variations in a high-elevation mountain watershed W. Zhi et al.
310. Spatial and Temporal Evaluation of Gridded Precipitation Products over the Mountainous Lake Tana Basin, Ethiopia S. Ewnetu et al.
311. The radiometric accuracy of the 8-band multi-spectral surface reflectance from the planet SuperDove constellation Y. Tu et al.
312. Experimental and Numerical Study of the Effect of Model Geometric Distortion on Laboratory Modeling of Urban Flooding X. Li et al.
313. Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring H. Messer
314. Temporal interpolation of land surface fluxes derived from remote sensing – results with an unmanned aerial system S. Wang et al.
315. Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America M. Tarek et al.
316. Soil hydrology in the Earth system H. Vereecken et al.
317. Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors C. Brogi et al.
318. Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions J. Lee et al.
319. Response time of global deltas to changes in fluvial sediment supply J. Wang et al.
320. Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects J. Chen et al.
321. Assessing Hydrological Modelling Driven by Different Precipitation Datasets via the SMAP Soil Moisture Product and Gauged Streamflow Data L. Yi et al.
322. Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine Q. Wu et al.
323. The pantropical response of soil moisture to El Niño K. Solander et al.
324. A blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes I. Mohammed et al.
325. Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities P. Stoy et al.
326. Predicting land susceptibility to atmospheric dust emissions in central Iran by combining integrated data mining and a regional climate model H. Gholami et al.
327. Climatological and Hydrological Observations for the South American Andes: In situ Stations, Satellite, and Reanalysis Data Sets T. Condom et al.
328. Sensing human health from Space: An assessment of applications and big data platforms D. Sengupta et al.
329. Watershed Reactive Transport L. Li
330. 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.
331. Soil Temperature, Environment, and Moisture Monitoring Network—a low-cost sensing network for Alabama N. Perlaky et al.
332. A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data R. Houborg & M. McCabe
333. Decision-support systems for water management C. Wardropper & A. Brookfield
334. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al.
335. Introducing of modeling techniques in the research of POPs in breast milk – A pilot study G. Jovanović et al.
336. How well does the IMERG satellite precipitation product capture the timing of precipitation events? R. Li et al.
337. A novel deep learning approach for high-precision rainfall intensity inversion using urban surveillance audio J. Feng et al.
338. An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors J. JuanManuel et al.
339. Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV M. Ziliani et al.
340. Planning remote sensing emergency services: Bridging the gap between remote sensing science and emergency practice in China X. Zheng et al.
341. Identifying ENSO-related interannual and decadal variability on terrestrial water storage S. Cheon et al.
342. Advancing river monitoring using image-based techniques: challenges and opportunities S. Manfreda et al.
343. Knowledge formalization for Earth Science informed decision-making: The GEOEssential Knowledge Base P. Mazzetti et al.
344. Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al.
345. High-Frequency Multi-Satellite Observations of Brahmaputra River Hydrology and Floodplain Dynamics F. Abdullah et al.
346. Forecasting drought using machine learning: a systematic literature review R. Oyarzabal et al.
347. A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and Multispectral Images Fusion Y. Wang et al.
348. A review of open data for studying global groundwater in social–ecological systems X. Huggins et al.
349. 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.