20 citations as recorded by crossref.

1. Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model V. Kovalskyy & G. Henebry https://doi.org/10.5194/bg-9-161-2012
2. A multi-objective assessment of alternate conceptual ecohydrological models B. Naseem et al. https://doi.org/10.1016/j.jhydrol.2015.08.060
3. Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. https://doi.org/10.5194/gmd-15-6957-2022
4. Impact of Changes in Groundwater Extractions and Climate Change on Groundwater-Dependent Ecosystems in a Complex Hydrogeological Setting J. van Engelenburg et al. https://doi.org/10.1007/s11269-017-1808-1
5. Influence of ecohydrologic feedbacks from simulated crop growth on integrated regional hydrologic simulations under climate scenarios P. van Walsum & I. Supit https://doi.org/10.5194/hess-16-1577-2012
6. Land use/land cover classification and its change detection using multi-temporal MODIS NDVI data M. Usman et al. https://doi.org/10.1007/s11442-015-1247-y
7. Drought stress and vegetation characteristics on sites with different slopes and orientations R. Bartholomeus et al. https://doi.org/10.1002/eco.271
8. Numerical modelling and remote sensing based approaches for investigating groundwater dynamics under changing land-use and climate in the agricultural region of Pakistan M. Usman et al. https://doi.org/10.1016/j.jhydrol.2019.124408
9. Multi-objective assessment of three remote sensing vegetation products for streamflow prediction in a conceptual ecohydrological model B. Naseem et al. https://doi.org/10.1016/j.jhydrol.2016.10.038
10. Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia S. Kim et al. https://doi.org/10.3390/rs12183051
11. Investigation of factors affecting intra-annual variability of evapotranspiration and streamflow under different climate conditions D. Zhang et al. https://doi.org/10.1016/j.jhydrol.2016.10.047
12. Ecohydrological modelling with EcH2O‐iso to quantify forest and grassland effects on water partitioning and flux ages A. Douinot et al. https://doi.org/10.1002/hyp.13480
13. A systematic review of bibliometric analyses: Climate change impacts on resilience, adaptation, and sustainability of pastures B. Putra et al. https://doi.org/10.1007/s00704-025-05387-1
14. Climate change impacts on the leaching of a heavy metal contamination in a small lowland catchment A. Visser et al. https://doi.org/10.1016/j.jconhyd.2011.04.007
15. Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review C. Matyukira & P. Mhangara https://doi.org/10.1080/22797254.2024.2422330
16. How Can We Represent Seasonal Land Use Dynamics in SWAT and SWAT+ Models for African Cultivated Catchments? A. Nkwasa et al. https://doi.org/10.3390/w12061541
17. An ecohydrological sketch of climate change impacts on water and natural ecosystems for the Netherlands: bridging the gap between science and society J. Witte et al. https://doi.org/10.5194/hess-16-3945-2012
18. Variations in Canopy Cover and Its Relationship with Canopy Water and Temperature in the Miombo Woodland Based on Satellite Data H. Zimba et al. https://doi.org/10.3390/hydrology7030058
19. Modeling the impact of spatiotemporal vegetation dynamics on groundwater recharge H. Anurag et al. https://doi.org/10.1016/j.jhydrol.2021.126584
20. Hydrological Modelling using Satellite-Based Crop Coefficients: A Comparison of Methods at the Basin Scale J. Hunink et al. https://doi.org/10.3390/rs9020174