| Twenty-three unsolved problems in hydrology (UPH)–a community perspective G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ... Hydrological sciences journal 64 (10), 1141-1158, 2019 | 244 | 2019 |
| Satellite-derived Digital Elevation Model (DEM) selection, preparation and correction for hydrodynamic modelling in large, low-gradient and data-sparse catchments AA Jarihani, JN Callow, TR McVicar, TG Van Niel, JR Larsen Journal of Hydrology 524, 489-506, 2015 | 158 | 2015 |
| Blending Landsat and MODIS data to generate multispectral indices: A comparison of “Index-then-Blend” and “Blend-then-Index” approaches AA Jarihani, TR McVicar, TG Van Niel, IV Emelyanova, JN Callow, ... Remote Sensing 6 (10), 9213-9238, 2014 | 112 | 2014 |
| Evaluation of multiple satellite altimetry data for studying inland water bodies and river floods AA Jarihani, JN Callow, K Johansen, B Gouweleeuw Journal of Hydrology 505, 78-90, 2013 | 90 | 2013 |
| Assessment of UAV and ground-based structure from motion with multi-view stereo photogrammetry in a gullied savanna catchment J Koci, B Jarihani, JX Leon, RC Sidle, SN Wilkinson, R Bartley ISPRS International Journal of Geo-Information 6 (11), 328, 2017 | 53 | 2017 |
| Hydrogeomorphic processes and scaling issues in the continuum from soil pedons to catchments RC Sidle, T Gomi, JCL Usuga, B Jarihani Earth-Science Reviews 175, 75-96, 2017 | 49 | 2017 |
| Landslide detection using multi-scale image segmentation and different machine learning models in the higher himalayas S Tavakkoli Piralilou, H Shahabi, B Jarihani, O Ghorbanzadeh, ... Remote Sensing 11 (21), 2575, 2019 | 47 | 2019 |
| Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing AA Jarihani, JR Larsen, JN Callow, TR McVicar, K Johansen Journal of Hydrology 529, 1511-1529, 2015 | 42 | 2015 |
| When is migration a maladaptive response to climate change? J Chris, C Stacy, C Chanthan, J Ben Regional Environment Change, 1-12, 2018 | 34* | 2018 |
| A semi-automated object-based gully networks detection using different machine learning models: A case study of Bowen catchment, Queensland, Australia H Shahabi, B Jarihani, S Tavakkoli Piralilou, D Chittleborough, M Avand, ... Sensors 19 (22), 4893, 2019 | 32 | 2019 |
| Rainfall-runoff modelling using hydrological connectivity index and artificial neural network approach H Asadi, K Shahedi, B Jarihani, RC Sidle Water 11 (2), 212, 2019 | 29 | 2019 |
| Characterisation of hydrological response to rainfall at multi spatio-temporal scales in savannas of semi-arid Australia B Jarihani, RC Sidle, R Bartley, CH Roth, SN Wilkinson Water 9 (7), 540, 2017 | 25 | 2017 |
| Linking hydrological connectivity to gully erosion in savanna rangelands tributary to the Great Barrier Reef using structure‐from‐motion photogrammetry J Koci, RC Sidle, B Jarihani, MJ Cashman Land Degradation & Development 31 (1), 20-36, 2020 | 12 | 2020 |
| Effect of reduced grazing pressure on sediment and nutrient yields in savanna rangeland streams draining to the Great Barrier Reef J Koci, RC Sidle, AE Kinsey-Henderson, R Bartley, SN Wilkinson, ... Journal of Hydrology 582, 124520, 2020 | 11 | 2020 |
| Hydrogeomorphic processes affecting dryland gully erosion: Implications for modelling RC Sidle, B Jarihani, SLI Kaka, J Koci, A Al-Shaibani Progress in Physical Geography: Earth and Environment 43 (1), 46-64, 2019 | 10 | 2019 |
| Quantifying the effectiveness of gully remediation on off-site water quality: preliminary results from demonstration sites in the Burdekin catchment R Bartley, A Hawdon, A Henderson, S Wilkinson, N Goodwin, B Abbott, ... NESP Project 2 (4), 2017 | 6 | 2017 |
| Monitoring of vegetation condition using the NDVI/ENSO anomalies in Central Asia and their relationships with ONI (very strong) phases D Aralova, K Toderich, B Jarihani, D Gafurov, L Gismatulina Earth Resources and Environmental Remote Sensing/GIS Applications VII 10005 …, 2016 | 6 | 2016 |
| Development of alternative SWAT-based models for simulating water budget components and streamflow for a karstic-influenced watershed MR Eini, S Javadi, M Delavar, PW Gassman, B Jarihani Catena 195, 104801, 2020 | 5 | 2020 |
| Measuring, modelling and managing gully erosion at large scales: A state of the art M Vanmaercke, P Panagos, T Vanwalleghem, A Hayas, S Foerster, ... Earth-Science Reviews, 103637, 2021 | 4 | 2021 |
| Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation O Ghorbanzadeh, H Shahabi, F Mirchooli, K Valizadeh Kamran, S Lim, ... Geomatics, Natural Hazards and Risk 11 (1), 1653-1678, 2020 | 3 | 2020 |
Roy C SidleDirector, Mountain Societies Research Institute, University of Central AsiaVerified email at ucentralasia.org
