Remote sensing & GIS applications

Remote Sensing Applications

Hydrological Applications

  1. Islam et al. (2025): “A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches.” Remote Sensing 17(3):524.
  2. Wodebo et al. (2025): “Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications.” Journal of Hydrology: Regional Studies 57:102150.
  3. Nigatu et al. (2024): “Drought Dynamics in the Nile River Basin: Meteorological, Agricultural, and Groundwater Drought Propagation.” Remote Sensing 16(5):919.
  4. Bayissa et al. (2021): “Multi-Dimensional Drought Assessment in Abbay/Upper Blue Nile Basin: The Importance of Shared Management and Regional Coordination Efforts for Mitigation.” Remote Sensing 13(9):1835.

Land Use/Land Cover Change Detection

  1. Admas et al. (2024): “Predicting the Impacts of Land Use/Cover and Climate Changes on Water and Sediment Flows in the Megech Watershed, Upper Blue Nile Basin.” Remote Sensing 16(13):2385.
  2. Haile et al. (2024): “Scenario-Based Land Use and Land Cover Change Detection and Prediction Using the Cellular Automata–Markov Model in the Gumara Watershed, Upper Blue Nile Basin, Ethiopia.” Land 13(3):396.
  3. Lukas et al. (2023): “Prediction of Future Land Use/Land Cover Changes Using A Coupled CA-ANN Model in the Upper Omo–Gibe River Basin, Ethiopia.” Remote Sensing 15(4):1148.
  4. Ayele et al. (2022): “Relationship of Attributes of Soil and Topography with Land Cover Change in the Rift Valley Basin of Ethiopia.” Remote Sensing 14:3257.

Satellite Precipitation Products Evaluation

  1. Aqnouy et al. (2024): “Evaluation of TRMM 3B43 V7 precipitation data in varied Moroccan climatic and topographic zones.” Mediterranean Geoscience Reviews.
  2. Belay et al. (2022): “Merging Satellite Products and Rain-Gauge Observations to Improve Hydrological Simulation: A Review.” Earth 3(4):1275-1289.
  3. Tadesse et al. (2022): “Evaluation of Merging Method for CHIRP Satellite Rainfall Estimate Over Wabi Shebelle River Basin, Ethiopia.” Journal of the Indian Society of Remote Sensing.
  4. Mekonnen et al. (2021): “Effect of temporal sampling mismatches between satellite rainfall estimates and rain gauge observations on modelling extreme rainfall in the Upper Awash Basin, Ethiopia.” Journal of Hydrology 598:126467.

Remote Sensing for Water Resources

  1. Zhang et al. (2021): “Special Section Guest Editorial: Multitemporal Remote Sensing Data Processing and Applications.” Journal of Applied Remote Sensing 15(4):042401.
  2. Bian et al. (2021): “A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands.” Water 13:2487.
  3. Nigatu et al. (2021): “Hydroclimatic Extremes Evaluation Using GRACE/GRACE‐FO and Multidecadal Climatic Variables over the Nile River Basin.” Remote Sensing 13:651.
  4. Rangsiwanichpong & Melesse (2022): “Analyzing the Benefit-Cost Ratio of Sediment Resources by Remote Sensing Data in the Ping River Basin, Thailand.” Water 14:2071.

Machine Learning with Remote Sensing

  1. Ghasemian et al. (2022): “Application of Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountain Area.” Frontiers in Environmental Science.
  2. Gebeyehu et al. (2023): “Subbasin Spatial Scale Effects on Hydrological Model Prediction Uncertainty of Extreme Stream Flows in the Omo Gibe River Basin, Ethiopia.” Remote Sensing 15(3):611.
  3. Woldegebrael et al. (2022): “Seasonal Flow Forecasting Using Satellite-Driven Precipitation Data for Awash and Omo-Gibe Basins, Ethiopia.” Remote Sensing 14:4518.

GIS applications

  1. Islam T, Zeleke EB, Afroz M, Melesse AM, 2025. A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches, Remote Sensing 17 (3), 524
  2. Melesse AM, Graham WD, 2004. Storm runoff prediction using spatially distributed travel time concept utilizing remote sensing and GIS. Journal of American Water Resources Association 40(4): 863-879.
  3. Melesse AM, Jordan JD, 2003. Spatially Distributed Watershed Mapping and Modeling: Land Cover and Microclimate Mapping using Landsat Imagery Part 1, Journal of Spatial Hydrology (e-journal), Vol. 3, No. 2.
  4. Melesse AM, Graham WD, 2003. Spatially Distributed Watershed Mapping and Modeling: GIS-Based Storm Runoff Response and Hydrograph Analysis, Part 2, Journal of Spatial Hydrology (e-journal), Vol. 3, No. 2.
  5. Melesse AM, Shih SF, 2002. Spatially Distributed Storm Runoff Depth Estimation Using Landsat Images and GIS, Computers and Electronics in Agriculture, Vol. 37: 173-183.
  6. Melesse AM, Shih SF, 2000. Remote Sensing and GIS Database for Runoff Curve Number Change Assessment. Soil and Crop Science Society of Florida Proceedings, Vol. 59: 141-146.
  7. Rahmati O, Pourghasemi HR, Melesse AM, 2016. Assessment of groundwater potentiality and quality with a new methodological framework: application of Dempster–Shafer theory and GIS/RS, Science of the Total Environment 568: 1110–1123.
  8. Mekonnen M, Melesse AM, Keesstra SD, 2016. Spatial Runoff Estimation and Mapping of Potential Water Harvesting Sites: A GIS and Remote Sensing Perspective, Northwest Ethiopia. In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
  9. Mulatie Mekonnen, Tsegaye Sewunet, Mulu Gebeyehu, Bayleyegn Azene, Melesse AM, 2016. GIS and Remote Sensing-Based Forest Resource Assessment, Quantification, and Mapping in Amhara Region, Ethiopia. In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
  10. Diamond G, Melesse AM, 2016. Water Resources Assessment and Geographic Information System (GIS)-Based Stormwater Runoff Estimates for Artificial Recharge of Freshwater Aquifers in New Providence, Bahamas. In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
  11. Dessu SB, Hussein Seid A, Abiy AZ, Melesse AM, 2016. Flood Forecasting and Stream Flow Simulation of the Upper Awash River Basin, Ethiopia Using Geospatial Stream Flow Model (GeoSFM). In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
  12. Gala TS, Melesse AM, 2012. Monitoring Prairie Wet Area with an integrated LANDSAT ETM+, RADARSAT 1 SAR and Ancillary data from LIDAR, CATENA 95: 12–23.
  13. Maalim FK, Melesse AM, Belmont P, Gran K, 2013. Modeling the impact of land use changes on runoff and sediment yield in the Le Sueur Watershed, Minnesota using GeoWEPP, Catena 107: 35–45.
  14. Defersha M, Melesse AM, McClain M, 2012. Watershed scale application of WEPP and EROSION 3D models for assessment of potential sediment source areas and runoff flux in the Mara River Basin, Kenya, CATENA 95: 63–72.