75 citations as recorded by crossref.

1. Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation Y. Kang et al. 10.1007/s00271-022-00798-8
2. Spatial Evaluation of a Hydrological Model on Dominant Runoff Generation Processes Using Soil Hydrologic Maps H. Mohajerani et al. 10.3390/hydrology10030055
3. Mapping daily evapotranspiration based on spatiotemporal fusion of ASTER and MODIS images over irrigated agricultural areas in the Heihe River Basin, Northwest China Y. Li et al. 10.1016/j.agrformet.2017.05.023
4. Ecohydrological processes and ecosystem services in the Anthropocene: a review G. Sun et al. 10.1186/s13717-017-0104-6
5. Effects of land-use change and drought on decadal evapotranspiration and water balance of natural and managed forested wetlands along the southeastern US lower coastal plain M. Aguilos et al. 10.1016/j.agrformet.2021.108381
6. Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring S. Pareeth & P. Karimi 10.1038/s41598-023-38563-2
7. Site Characteristics Mediate the Relationship Between Forest Productivity and Satellite Measured Solar Induced Fluorescence T. Yazbeck et al. 10.3389/ffgc.2021.695269
8. Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta M. Anderson et al. 10.3390/rs11030216
9. Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al. 10.1016/j.agrformet.2021.108350
10. Estimation and Validation of Actual Evapotranspiration (ETa) of Maize Wheat Cropping System Using SSEBop Model Over IARI Research Farm, New Delhi, India J. Mukherjee et al. 10.1007/s12524-021-01350-5
11. Evaluation of a CONUS-Wide ECOSTRESS DisALEXI Evapotranspiration Product K. Cawse-Nicholson et al. 10.1109/JSTARS.2021.3111867
12. Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations L. Fang et al. 10.3389/fdata.2022.768676
13. Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances J. Xue et al. 10.1016/j.rse.2020.112055
14. Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution Z. Li et al. 10.3390/rs9070755
15. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales M. Anderson et al. 10.1016/j.rse.2020.112189
16. Drought and thinning have limited impacts on evapotranspiration in a managed pine plantation on the southeastern United States coastal plain X. Liu et al. 10.1016/j.agrformet.2018.06.025
17. Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China Y. Li et al. 10.3390/rs12193223
18. Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest J. Wang et al. 10.1016/j.rse.2020.111865
19. A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops C. Cammalleri et al. 10.1016/j.agwat.2024.109207
20. An Improved Spatio-Temporal Adaptive Data Fusion Algorithm for Evapotranspiration Mapping T. Wang et al. 10.3390/rs11070761
21. Multi-Source Soil Moisture Data Fusion Based on Spherical Cap Harmonic Analysis and Helmert Variance Component Estimation in the Western U.S. H. Chen et al. 10.3390/s23198019
22. An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images J. Ma et al. 10.3390/rs10091388
23. A Model to Estimate Leaf Area Index in Loblolly Pine Plantations Using Landsat 5 and 7 Images S. Kinane et al. 10.3390/rs13061140
24. High spatial–temporal image fusion model for retrieving aerosol optical depth based on top-of-atmosphere reflectance C. Huang et al. 10.1016/j.rsase.2024.101402
25. Mapping irrigated and rainfed wheat areas using high spatial–temporal resolution data generated by Moderate Resolution Imaging Spectroradiometer and Landsat L. Zhang et al. 10.1117/1.JRS.12.046023
26. High spatio-temporal resolution evapotranspiration estimates within large agricultural fields by fusing eddy covariance and Landsat based data D. Mbabazi et al. 10.1016/j.agrformet.2023.109417
27. Dynamic land cover evapotranspiration model algorithm: DyLEMa J. Han et al. 10.1016/j.compag.2024.108875
28. Improved Daily Evapotranspiration Estimation Using Remotely Sensed Data in a Data Fusion System Y. Yang et al. 10.3390/rs14081772
29. Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach L. Sun et al. 10.1002/2017WR020700
30. Attributing the drivers of runoff decline in the Thaya river basin M. Fischer et al. 10.1016/j.ejrh.2023.101436
31. Vegetation Growth Dynamic and Sensitivity to Changing Climate in a Watershed in Northern China W. Cao et al. 10.3390/rs14174198
32. Evapotranspiration Estimation with the S-SEBI Method from Landsat 8 Data against Lysimeter Measurements at the Barrax Site, Spain J. Sobrino et al. 10.3390/rs13183686
33. Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data Y. Yang et al. 10.1016/j.rse.2018.12.017
34. Environmental influences on evapotranspiration in wheat-maize rotation systems under diverse hydrological regimes in the Guanzhong Plain, China X. Liu et al. 10.1016/j.agwat.2024.109204
35. Land cover effect on water discharge, matter losses and surface temperature: Results of 20 years monitoring in the Šumava Mts J. Procházka et al. 10.1016/j.ecoleng.2018.11.030
36. Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard K. Knipper et al. 10.3390/rs11182124
37. Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands S. Chen et al. 10.1038/s41598-021-92271-3
38. Application of Land Surface temperature from Landsat series to monitor and analyze forest ecosystems: A bibliometric analysis M. Rosas-Chavoya et al. 10.5424/fs/2022313-19539
39. Performance Comparison of Penman–Monteith and Priestley–Taylor Models Using MOD16A2 Remote Sensing Product N. Shekar & H. Hemalatha 10.1007/s00024-021-02780-5
40. Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare* M. Hari et al. 10.1002/ird.2553
41. Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management E. Carpintero et al. 10.3390/rs13183701
42. Studying drought-induced forest mortality using high spatiotemporal resolution evapotranspiration data from thermal satellite imaging Y. Yang et al. 10.1016/j.rse.2021.112640
43. The Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment W. Kustas et al. 10.1175/BAMS-D-16-0244.1
44. Forest water use is increasingly decoupled from water availability even during severe drought K. McQuillan et al. 10.1007/s10980-022-01425-9
45. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
46. Mapping daily evapotranspiration over a large irrigation district from MODIS data using a novel hybrid dual-source coupling model B. Yu et al. 10.1016/j.agrformet.2019.06.011
47. Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones D. Roy et al. 10.1038/s41598-025-92135-0
48. Estimation of reference evapotranspiration in South Korea using GK-2A AMI channel data and a tree-based machine learning method B. Kim & J. Cha 10.1016/j.srs.2024.100171
49. Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion J. Xue et al. 10.1007/s00271-022-00799-7
50. Enhancing Evapotranspiration Estimations through Multi-Source Product Fusion in the Yellow River Basin, China R. Wang et al. 10.3390/w16182603
51. Estimation of evapotranspiration fluxes from Sal (Shorea robusta Gaertn.f) forest using METRIC model: case study of Doon Valley, India S. Purohit et al. 10.1080/10106049.2021.1920630
52. Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic F. Jurečka et al. 10.1016/j.agwat.2021.107064
53. Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy J. Xue et al. 10.3390/rs13173420
54. Using big data for evaluating development outcomes: A systematic map F. Rathinam et al. 10.1002/cl2.1149
55. Application of A Simple Landsat-MODIS Fusion Model to Estimate Evapotranspiration over A Heterogeneous Sparse Vegetation Region S. Jamshidi et al. 10.3390/rs11070741
56. The effect of conventional and sustainable agricultural management practices on carbon and water fluxes in a Mexican semi-arid region G. Guillen-Cruz et al. 10.7717/peerj.14542
57. Adaptability Evaluation of the Spatiotemporal Fusion Model in the Summer Maize Planting Area of the Southeast Loess Plateau P. He et al. 10.3390/agronomy13102608
58. A Copernicus-based evapotranspiration dataset at 100 m spatial resolution over four Mediterranean basins P. Bartkowiak et al. 10.5194/essd-16-4709-2024
59. Faster evapotranspiration recovery compared to canopy development post clearcutting in a floodplain forest T. Ghisi et al. 10.1016/j.foreco.2023.120828
60. Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design K. Knipper et al. 10.1016/j.agwat.2020.106361
61. Continuous Daily Evapotranspiration Estimation at the Field-Scale over Heterogeneous Agricultural Areas by Fusing ASTER and MODIS Data Z. Yi et al. 10.3390/rs10111694
62. Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S. M. Aguilos et al. 10.1016/j.agrformet.2024.109960
63. Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing M. Anderson et al. 10.3390/rs10060889
64. Modifying an Image Fusion Approach for High Spatiotemporal LST Retrieval in Surface Dryness and Evapotranspiration Estimations T. Januar et al. 10.3390/rs12030498
65. A High Spatiotemporal Enhancement Method of Forest Vegetation Leaf Area Index Based on Landsat8 OLI and GF-1 WFV Data X. Luo et al. 10.3390/rs15112812
66. Urban–rural interface dominates the effects of urbanization on watershed energy and water balances in Southern China K. Jin et al. 10.1007/s10980-023-01648-4
67. Retrieving Heterogeneous Surface Soil Moisture at 100 m Across the Globe via Fusion of Remote Sensing and Land Surface Parameters J. Huang et al. 10.3389/frwa.2020.578367
68. Evaluating the role of evapotranspiration remote sensing data in improving hydrological modeling predictability M. Herman et al. 10.1016/j.jhydrol.2017.11.009
69. Mapping daily leaf area index at 30 m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data Z. Li et al. 10.1080/01431161.2018.1504342
70. The effects of forest composition and management on evapotranspiration in the New Jersey Pinelands B. Isaacson et al. 10.1016/j.agrformet.2023.109588
71. Impact of Tile Drainage on Evapotranspiration in South Dakota, USA, Based on High Spatiotemporal Resolution Evapotranspiration Time Series From a Multisatellite Data Fusion System Y. Yang et al. 10.1109/JSTARS.2017.2680411
72. Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework M. He et al. 10.1016/j.rse.2019.05.020
73. Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review V. García-Santos et al. 10.3390/rs14143440
74. Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration K. Liu et al. 10.1080/01431161.2018.1434326
75. Automated Geospatial Models of Varying Complexities for Pine Forest Evapotranspiration Estimation with Advanced Data Mining S. Panda et al. 10.3390/w10111687