My publications
My publications
1. Masroor, M., Rehman, S., Avtar, R., Sahana, M., Ahmed, R., & Sajjad, H. (2020). Exploring climate variability and its impact on drought occurrence: Evidence from Godavari Middle sub-basin, India. Weather and Climate Extremes, 30, 100277. https://doi.org/10.1016/j.wace.2020.100277 [ IF. 7.761]
2. Masroor, M., Rehman, S., Sajjad, H., Rahaman, M. H., Sahana, M., Ahmed, R., & Singh, R. (2021). Assessing the impact of drought conditions on groundwater potential in Godavari Middle Sub-Basin, India using analytical hierarchy process and random forest machine learning algorithm. Groundwater for Sustainable Development, 13, 100554. https://doi.org/10.1016/j.gsd.2021.100554
3. Masroor, M., Avtar, R., Sajjad, H., Choudhari, P., Kulimushi, L. C., Khedher, K. M., ... & Sahu, N. (2022). Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability: An Analysis in the Aurangabad District of Maharashtra State, India. Sustainability, 14(2), 642. https://doi.org/10.3390/su14020642 [ IF. 3.251]
4. Masroor, M., Sajjad, H., Rehman, S., Singh, R., Rahaman, M. H., Sahana, M., ... & Avtar, R. (2022). Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India. Geoscience Frontiers, 13(2), 101312.https://doi.org/10.1016/j.gsf.2021.101312 [ IF. 7.48]
5. Masroor, M., Razavi-Termeh, S. V., Rahaman, M. H., Choudhari, P., Kulimushi, L. C., & Sajjad, H. (2023). Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: A study in Godavari middle sub-basin, India. Stochastic Environmental Research and Risk Assessment, 37(1), 233-259. [ IF. 3.821]
6. Masroor, M., Sajjad, H., Kumar, P., Saha, T. K., Rahaman, M. H., Choudhari, P., ... & Saito, O. (2023). Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India. Water, 15(3), 419. [ IF. 3.530]
7. Masroor, M., Rahaman, M. H., & Sajjad, H., (2023). Assessing farmers’ perception based composite drought vulnerability in Godavari Middle Sub-basin, India. International Journal of Disaster Risk Reduction, 103747. [ IF. 4.842]
8. Sahana, M., Patel, P. P., Rehman, S., Rahaman, H., Masroor, M., Imdad, K., & Sajjad, H. (2023). Assessing the effectiveness of existing early warning systems and emergency preparedness towards reducing cyclone-induced losses in the Sundarban Biosphere Region, India. International Journal of Disaster Risk Reduction, 103645. [ IF. 4.842]
9. Rehman, S., Sajjad, H., Masroor, M., Rahaman, M. H., Ahmed, R., & Sahana, M. (2022). Assessment of evidence-based climate variability in Bhagirathi sub-basin of India: a geostatistical analysis. Acta Geophysica, 1-19. https://doi.org/10.1007/s11600-022-00726-6 [ IF. 2.054]
10. Rahaman, M., Masroor, M., Rehman, S. et al. State of Art of Review on Climate Variability and Water Resources: Bridging Knowledge Gaps and the Way Forward. Water Resour 49, 699–710 (2022). https://doi.org/10.1134/S009780782204016 [ IF. 0.919]
11. Roshani, Sajjad, H.; Kumar, P.; Masroor, M.; Rahaman, M.H.; Rehman, S.; Ahmed, R.; Sahana, M. (2022). Forest Vulnerability to Climate Change: A Review for Future Research Framework. Forests, 13, 917. https://doi.org/10.3390/f13060917 [ IF. 2.634]
12. Kulimushi, L. C., Bashagaluke, J. B., Prasad, P., Heri-Kazi, A. B., Kushwaha, N. L., Masroor, M., ... & Mohammed, S. (2023). Soil erosion susceptibility mapping using ensemble machine learning models: A case study of upper Congo river sub-basin. CATENA, 222, 106858. [ IF. 6.367]
13. Rani, M., Masroor, M., & Kumar, P. (2021). Remote sensing of Ocean and Coastal Environment–Overview. In Remote Sensing of Ocean and Coastal Environments (pp. 1-15). Elsevier.
14. Rahaman, M. H., Sajjad, H., Masroor, M., Bhuyan, N., & Rehman, S. (2022). Delineating groundwater potential zones using geospatial techniques and fuzzy analytical hierarchy process (FAHP) ensemble in the data-scarce region: evidence from the lower Thoubal river watershed of Manipur, India. Arabian Journal of Geosciences, 15(8), 1-20. [ IF. 1.827]
15. Kulimushi, L. C., Bigabwa, J. B., Choudhari, P., Masroor, M., & Sajjad, H. (2021). Novel combination of analytical hierarchy process and weighted sum analysis for watersheds prioritization. A study of Ulindi catchment, Congo River Basin. Geocarto International, 1-37. https://doi.org/10.1080/10106049.2021.2002426 [ IF. 4.88]
16. Pham, Binh Thai, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Neelima Satyam, Md Masroor et al. "Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides." International Journal of Digital Earth (2020): 1-22. https://doi.org/10.1080/17538947.2020.1860145 [ IF. 4.60]
17. Roshani, Rahaman, H., Masroor, M., Rehman, S., Sajjad, H. (2022). Indicator-Based Inherent Forest Vulnerability Using Multicriteria Decision-Making Analysis in the Darjeeling District of West Bengal. In: Rani, M., Chaudhary, B.S., Jamal, S., Kumar, P. (eds) Towards Sustainable Natural Resources. Springer, Cham. https://doi.org/10.1007/978-3-031-06443-2_4
18. Kumari, G., Sajjad, H., Rahaman, M.H., Masroor, M., Roshani, & Ahmed, R. et al. (2022) Climate variability induced livelihood vulnerability: A systematic review and future prospects. Area, 00, 1– 9. Available from: https://doi.org/10.1111/area.12822
19. Mandal, V. P., Rehman, S., Ahmed, R., Masroor, M., Kumar, P., & Sajjad, H. (2020). Land suitability assessment for optimal cropping sequences in Katihar district of Bihar, India using GIS and AHP. Spatial Information Research, 28, 589-599.