75 citations as recorded by crossref.

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13. Estimating Spatially Explicit Irrigation Water Use Based on Remotely Sensed Evapotranspiration and Modeled Root Zone Soil Moisture C. Zhang & D. Long 10.1029/2021WR031382
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15. Satellite-based global-scale irrigation water use and its contemporary trends M. Zohaib & M. Choi 10.1016/j.scitotenv.2020.136719
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17. Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP S. Modanesi et al. 10.5194/hess-26-4685-2022
18. Water in the West: Trends, production efficiency, and a call for open data B. Schumacher et al. 10.1016/j.jenvman.2021.114330
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20. The spatiotemporal trajectory of US agricultural irrigation withdrawal during 1981–2015 R. Zeng & W. Ren 10.1088/1748-9326/ac91e2
21. Plot-Scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model M. Hamze et al. 10.3390/rs15164081
22. Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands L. He et al. 10.1029/2021GL092658
23. Potential for the Detection of Irrigation Events on Maize Plots Using Sentinel-1 Soil Moisture Products M. Le Page et al. 10.3390/rs12101621
24. Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region J. Dari et al. 10.3390/rs12162593
25. Impact of Vegetation Gradient and Land Cover Conditions on Soil Moisture Retrievals From Different Frequencies and Acquisition Times of AMSR2 M. Zohaib et al. 10.1109/TGRS.2023.3264505
26. Detecting global irrigated areas by using satellite and reanalysis products M. Zohaib et al. 10.1016/j.scitotenv.2019.04.365
27. 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
28. Extraction of Irrigation Signals by Using SMAP Soil Moisture Data L. Zhu & A. Zhu 10.3390/rs13112142
29. A New Method for Estimating Irrigation Water Use via Soil Moisture L. Zhu et al. 10.3390/agriculture13040757
30. Global Estimates of Land Surface Water Fluxes from SMOS and SMAP Satellite Soil Moisture Data M. Sadeghi et al. 10.1175/JHM-D-19-0150.1
31. Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space J. Dari et al. 10.5194/essd-15-1555-2023
32. Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product? E. Jalilvand et al. 10.1029/2022WR033342
33. Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. 10.3390/w14071157
34. A data-driven high spatial resolution model of biomass accumulation and crop yield: Application to a fragmented desert-oasis agroecosystem Q. Chen et al. 10.1016/j.ecolmodel.2022.110182
35. Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture L. Zappa et al. 10.3390/rs13091727
36. A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions P. Laluet et al. 10.1016/j.envsoft.2022.105608
37. A Method to Estimate Surface Soil Moisture and Map the Irrigated Cropland Area Using Sentinel-1 and Sentinel-2 Data S. Rabiei et al. 10.3390/su132011355
38. Towards a comprehensive and consistent global aquatic land cover characterization framework addressing multiple user needs P. Xu et al. 10.1016/j.rse.2020.112034
39. Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land S. Modanesi et al. 10.5194/hess-25-6283-2021
40. Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data L. Zhu et al. 10.3390/agriculture13091709
41. Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations K. Zhang et al. 10.1029/2021WR030031
42. Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 1: An overview M. Huang et al. 10.5194/acp-21-11013-2021
43. Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data P. Filippucci et al. 10.1016/j.advwatres.2019.103502
44. A Sensitivity Analysis of a Fao-56 Dual Crop Coefficient-Based Model Under Various Field Conditions P. Laluet et al. 10.2139/ssrn.4170062
45. A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses L. Karthikeyan et al. 10.1016/j.jhydrol.2020.124905
46. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
47. Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region S. Filippelli et al. 10.1016/j.agwat.2022.107764
48. Irrigation and Precipitation Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil Moisture Products N. Paciolla et al. 10.3390/rs12223737
49. Double-scale analysis on the detectability of irrigation signals from remote sensing soil moisture over an area with complex topography in central Italy J. Dari et al. 10.1016/j.advwatres.2022.104130
50. How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? L. Zappa et al. 10.1016/j.jag.2022.102979
51. A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution C. Zheng et al. 10.1038/s41597-023-01991-w
52. Triple Collocation-Based Assessment of Satellite Soil Moisture Products with In Situ Measurements in China: Understanding the Error Sources X. Wu et al. 10.3390/rs12142275
53. Estimating soil water flux from single-depth soil moisture data M. Sadeghi et al. 10.1016/j.jhydrol.2022.127999
54. Characterization of the Coherence Between Soil Moisture and Precipitation at Regional Scales D. Wu et al. 10.1029/2020JD034340
55. Retrieving global surface soil moisture from GRACE satellite gravity data M. Sadeghi et al. 10.1016/j.jhydrol.2020.124717
56. Landsat-based Irrigation Dataset (LANID): 30 m resolution maps of irrigation distribution, frequency, and change for the US, 1997–2017 Y. Xie et al. 10.5194/essd-13-5689-2021
57. Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
58. Mapping Irrigated Areas Based on Remotely Sensed Crop Phenology and Soil Moisture W. Zuo et al. 10.3390/agronomy13061556
59. Detecting and mapping irrigated areas in a Mediterranean environment by using remote sensing soil moisture and a land surface model J. Dari et al. 10.1016/j.jhydrol.2021.126129
60. The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
61. A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm J. Brombacher et al. 10.1016/j.agwat.2022.107602
62. Sensitivity of Modeled Soil NOx Emissions to Soil Moisture D. Huber et al. 10.1029/2022JD037611
63. Evaluation of SMAP/Sentinel 1 High-Resolution Soil Moisture Data to Detect Irrigation Over Agricultural Domain E. Jalilvand et al. 10.1109/JSTARS.2021.3119228
64. Quantifying irrigation water use with remote sensing: Soil water deficit modelling with uncertain soil parameters D. Bretreger et al. 10.1016/j.agwat.2021.107299
65. A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions G. Singh & N. Das 10.1016/j.scitotenv.2022.155893
66. Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
67. Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
68. Exploring the Regional Dynamics of U.S. Irrigated Agriculture from 2002 to 2017 D. Shrestha et al. 10.3390/land10040394
69. Representing Indian Agricultural Practices and Paddy Cultivation in the Variable Infiltration Capacity Model J. Joseph & S. Ghosh 10.1029/2022WR033612
70. High resolution annual irrigation water use maps in China based-on input variables selection and convolutional neural networks J. Zhang et al. 10.1016/j.jclepro.2023.136974
71. Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy T. Foster et al. 10.1029/2020WR028378
72. Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains S. Wei et al. 10.3390/rs14133004
73. A review on irrigation parameterizations in Earth system models A. Valmassoi & J. Keller 10.3389/frwa.2022.906664
74. The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China X. Zhang et al. 10.3390/w10111505
75. The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields M. Fontanet et al. 10.5194/hess-22-5889-2018