Research articles

2023

  1. Ahmad SM, Sadhasivam N, Lisa M, Lombardo L, Emil MK, Fadel I, van Westen CJ, Ahmed A. & Tanyas H (2022) Standing on the shoulder of a giant landslide: A six-year long InSAR look at a slow-moving hillslope in the western Karakoram. Geomorphology, 444, 108959. DOI: https://doi.org/10.1016/j.geomorph.2023.108959

  2. He K, Lombardo L, Chang L, Sadhasivam N, Hu X, Fang Z, & Tanyas H (2022) Investigating earthquake legacy effect on hillslope deformation using InSAR-derived time series. Earth Surface Processes and Landforms. DOI: https://onlinelibrary.wiley.com/doi/epdf/10.1002/esp.5746

2022

  1. Sadhasivam N, Chang L, Tanyas H (2022) Revealing the hillslope response to earthquake legacy effect using time series InSAR. DOI: https://doi.org/10.31223/X5DH22 [preprint]

  2. He K, Lombardo L, Chang L, Sadhasivam N, Hu X, Fang Z, & Tanyas H (2022) Hillslope recovery after a major earthquake: InSAR‑derived time series analyses to capture earthquake‑legacy effect. DOI: https://doi.org/10.31223/X5Q65W [preprint]

  3. Ahmad SM, Sadhasivam N, Lisa M, Lombardo L, Emil MK, Fadel I, van Westen CJ, Ahmed A. & Tanyas H (2022) Standing on the shoulder of a giant landslide: an InSAR look at a slow‑moving hillslope under melting glaciers in the western Karakoram. DOI: https://doi.org/10.31223/X5P63T [preprint]

2021

  1. Pourghasemi HR, Honarmandnejad F, Rezaei M, Tarazkar MH & Sadhasivam N (2021) Prioritization of water erosion–prone sub‑watersheds using three ensemble methods in Qareaghaj catchment, southern Iran. Environmental Science and Pollution Research, 28(28), pp.37894‑37917. DOI: https://doi.org/10.1007/s11356-021-13300-2

  2. Pourghasemi HR, Sadhasivam N, Amiri M, Eskandari S & Santosh M (2021) Landslide susceptibility assessment and mapping using state‑of‑the art machine learning techniques. Natural Hazards, 108(1), pp.1291‑1316. DOI: https://doi.org/10.1007/s11069-021-04732-7

  3. Arabameri A, Sadhasivam N, Turabieh H, Mafarja M, Rezaie F, Pal SC & Santosh M (2021) Credal decision tree based novel ensemble models for spatial assessment of gully erosion and sustainable management. Scientific Reports, 11(1), pp.1‑18. DOI: https://doi.org/10.1038/s41598-021-82527-3

2020

  1. Pourghasemi HR, Amiri M, Edalat M, Ahrari AH, Panahi M, Sadhasivam N & Lee S (2020) Assessment of urban infrastructures exposed to flood using susceptibility map and Google Earth Engine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp.1923‑1937. DOI: https://doi.org/10.1109/JSTARS.2020.3045278

  2. Sadhasivam N, Sheik Mohideen AR & Alankar B (2020) Optimisation of landfill sites for solid waste disposal in Thiruverumbur taluk of Tiruchirappalli district, India. Environmental Earth Sciences, 79(23), pp.1‑20. DOI: https://doi.org/10.1007/s12665-020-09264-0

  3. Pourghasemi HR, Sadhasivam N, Kariminejad N & Collins AL (2020) Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process. Geoscience Frontiers, 11(6), pp.2207‑2219. DOI: https://doi.org/10.1016/j.gsf.2020.03.005

  4. Pourghasemi HR, Yousefi S, Sadhasivam N & Eskandari S (2020) Assessing, mapping, and optimizing the locations of sediment control check dams construction. Science of the Total Environment, 739, p.139954. DOI: https://doi.org/10.1016/j.scitotenv.2020.139954

  5. Eskandari S, Amiri M, Sadhasivam N & Pourghasemi HR (2020) Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran. Natural Hazards, 104(1),

    pp.305‑327. DOI: https://doi.org/10.1007/s11069-020-04169-4

  6. Panahi M, Sadhasivam N, Pourghasemi HR, Rezaie F & Lee S (2020) Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR). Journal of Hydrology, 588, p.125033. DOI: https://doi.org/10.1016/j.jhydrol.2020.125033

  7. Pourghasemi HR, Pouyan S, Farajzadeh Z, Sadhasivam N, Heidari B, Babaei S & Tiefenbacher JP (2020) Assessment of the outbreak risk, mapping and infection behavior of COVID‑19: Application of the autoregressive integrated‑moving average (ARIMA) and polynomial models. Plos one, 15(7), p.e0236238. DOI: https://doi.org/10.1371/journal.pone.0236238

  8. Sadhasivam N, Bhardwaj A, Pourghasemi HR & Kamaraj NP (2020) Morphometric attributes‑based soil erosion susceptibility mapping in Dnyanganga watershed of India using individual and ensemble models. Environmental Earth Sciences, 79(14), pp.1‑28. DOI: https://doi.org/10.1007/s12665-020-09102-3

  9. Pourghasemi HR, Sadhasivam N, Yousefi S, Tavangar S, Nazarlou HG & Santosh M (2020) Using machine learning algorithms to map the groundwater recharge potential zones. Journal of environmental management, 265, p.110525. DOI: https://doi.org/10.1016/j.jenvman.2020.110525

  10. Yousefi S, Sadhasivam, N, Pourghasemi HR, Nazarlou HG, Golkar F, Tavangar S & Santosh M (2020) Groundwater spring potential assessment using new ensemble data mining techniques. Measurement, 157, p.107652. DOI: https://doi.org/10.1016/j.measurement.2020.107652

2019

  1. Nitheshnirmal S, Thilagaraj P, Rahaman S A, & Jegankumar R (2019). Erosion risk assessment through morphometric indices for prioritisation of Arjuna watershed using ALOS-PALSAR DEM. Modeling Earth Systems and Environment, 5(3), pp. 907-924. DOI: https://doi.org/10.1007/s40808-019-00578-y

  2. Dineshkumar C, Kumar JS, Sadhasivam N (2019) Rice Monitoring Using Sentinel‑1 data in Google Earth Engine Platform. Proceedings of 2nd International Electronic Conference on Geosciences, 24(1), p.4. DOI: https://doi.org/10.3390/IECG2019-06206

  3. Dineshkumar C, Sadhasivam N, Bhardwaj A, Priyadarshini KN (2019) Phenological monitoring of paddy crop using time series MODIS data. Multidisciplinary Digital Publishing Institute Proceedings, 24(1). DOI: https://doi.org/10.3390/IECG2019-06205