Browsing byAuthorPradhan, B

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Issue DateTitleAuthor(s)
2018-05-01Quantification of Runoff as Influenced by Morphometric Characteristics in a Rural Complex CatchmentAbdulkareem, JH; Pradhan, B; Sulaiman, WNA; Jamil, NR
2017Quantifying Spatiotemporal Urban Sprawl Patterns in the City of Tripoli Metropolis (Libya) Over the Past Four Decades Using Satellite Data SetsAl-sharif, AAA; Pradhan, B
2018-11-01Quantitative assessment for detection and monitoring of coastline dynamics with temporal RADARSAT imagesPradhan, B; Rizeei, HM; Abdulle, A
2018-12-01Quantitative assessment of desertification in an arid oasis using remote sensing data and spectral index techniquesLamqadem, AA; Saber, H; Pradhan, B
2020-04-01Rainfall induced landslide studies in indian himalayan region: A critical reviewDikshit, A; Sarkar, R; Pradhan, B; Segoni, S; Alamri, AM
2020-04-01Rainfall threshold estimation and landslide forecasting for Kalimpong, India using SIGMA modelAbraham, MT; Satyam, N; Kushal, S; Rosi, A; Pradhan, B; Segoni, S
2017-02-01Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropyHong, H; Chen, W; Xu, C; Youssef, AM; Pradhan, B; Tien Bui, D
2016Rainfall–runoff modelling and water balance analysis for Al-Hindiyah barrage, Iraq using remote sensing and GISJaber, HS; Mansor, S; Pradhan, B; Ahmad, N
2023-01-01Regional-Scale Analysis of Vegetation Dynamics Using Satellite Data and Machine Learning Algorithms: A Multi-Factorial ApproachAbdollahi, A; Pradhan, B; Alamri, A
2018-07-01Relationship between design floods and land use land cover (LULC) changes in a tropical complex catchmentAbdulkareem, JH; Sulaiman, WNA; Pradhan, B; Jamil, NR
2023-04-01Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic ReviewJoshi, A; Pradhan, B; Gite, S; Chakraborty, S
2018-09-01A review of neural networks in plant disease detection using hyperspectral dataGolhani, K; Balasundram, SK; Vadamalai, G; Pradhan, B
2018-12Review of studies on hydrological modelling in MalaysiaAbdulkareem, JH; Pradhan, B; Sulaiman, WNA; Jamil, NR
2021-01-01Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural NetworkAbdollahi, A; Pradhan, B; Shukla, N
2020-01-01Road Geometric Modeling Using Laser Scanning Data: A Critical ReviewPradhan, B; Ibrahim Sameen, M
2021-01-01RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-upAbdollahi, A; Pradhan, B; Alamri, A
2021-01-01Robustness analysis of machine learning classifiers in predicting spatial gully erosion susceptibility with altered training samples“This is an Accepted Manuscript of an article published by Taylor & Francis in [Geomatics Natural Hazards and Risk, 2021, 12, (1), pp. 794-828], available online: https://www.tandfonline.com/doi/full/10.1080/19475705.2021.1890644]”; Hembram, TK; Saha, S; Pradhan, B; Abdul Maulud, KN; Alamri, AM
2017-05-04Rockfall hazard assessment: An overviewPradhan, B; Fanos, AM
2019-02Rockfall Source Identification Using a Hybrid Gaussian Mixture-Ensemble Machine Learning Model and LiDAR DataPradhan, B; Fanos, AM; Mansor, S; Abdullah, AFB; Jung, H-S
2022-12-01Rule-based Learning Techniques to Derive Automated Digital Terrain Model Using Airborne LiDAR DataJifroudi, HM; Mansor, SB; Pradhan, B