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Showing results 475 to 494 of 608
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Issue Date
Title
Author(s)
2018-05-01
Quantification of Runoff as Influenced by Morphometric Characteristics in a Rural Complex Catchment
Abdulkareem, JH
;
Pradhan, B
;
Sulaiman, WNA
;
Jamil, NR
2017
Quantifying Spatiotemporal Urban Sprawl Patterns in the City of Tripoli Metropolis (Libya) Over the Past Four Decades Using Satellite Data Sets
Al-sharif, AAA
;
Pradhan, B
2018-11-01
Quantitative assessment for detection and monitoring of coastline dynamics with temporal RADARSAT images
Pradhan, B
;
Rizeei, HM
;
Abdulle, A
2018-12-01
Quantitative assessment of desertification in an arid oasis using remote sensing data and spectral index techniques
Lamqadem, AA
;
Saber, H
;
Pradhan, B
2020-04-01
Rainfall induced landslide studies in indian himalayan region: A critical review
Dikshit, A
;
Sarkar, R
;
Pradhan, B
;
Segoni, S
;
Alamri, AM
2020-04-01
Rainfall threshold estimation and landslide forecasting for Kalimpong, India using SIGMA model
Abraham, MT
;
Satyam, N
;
Kushal, S
;
Rosi, A
;
Pradhan, B
;
Segoni, S
2017-02-01
Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
Hong, H
;
Chen, W
;
Xu, C
;
Youssef, AM
;
Pradhan, B
;
Tien Bui, D
2016
Rainfall–runoff modelling and water balance analysis for Al-Hindiyah barrage, Iraq using remote sensing and GIS
Jaber, HS
;
Mansor, S
;
Pradhan, B
;
Ahmad, N
2023-01-01
Regional-Scale Analysis of Vegetation Dynamics Using Satellite Data and Machine Learning Algorithms: A Multi-Factorial Approach
Abdollahi, A
;
Pradhan, B
;
Alamri, A
2018-07-01
Relationship between design floods and land use land cover (LULC) changes in a tropical complex catchment
Abdulkareem, JH
;
Sulaiman, WNA
;
Pradhan, B
;
Jamil, NR
2023-04-01
Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review
Joshi, A
;
Pradhan, B
;
Gite, S
;
Chakraborty, S
2018-09-01
A review of neural networks in plant disease detection using hyperspectral data
Golhani, K
;
Balasundram, SK
;
Vadamalai, G
;
Pradhan, B
2018-12
Review of studies on hydrological modelling in Malaysia
Abdulkareem, JH
;
Pradhan, B
;
Sulaiman, WNA
;
Jamil, NR
2021-01-01
Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural Network
Abdollahi, A
;
Pradhan, B
;
Shukla, N
2020-01-01
Road Geometric Modeling Using Laser Scanning Data: A Critical Review
Pradhan, B
;
Ibrahim Sameen, M
2021-01-01
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up
Abdollahi, A
;
Pradhan, B
;
Alamri, A
2021-01-01
Robustness 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
2017-05-04
Rockfall hazard assessment: An overview
Pradhan, B
;
Fanos, AM
2019-02
Rockfall Source Identification Using a Hybrid Gaussian Mixture-Ensemble Machine Learning Model and LiDAR Data
Pradhan, B
;
Fanos, AM
;
Mansor, S
;
Abdullah, AFB
;
Jung, H-S
2022-12-01
Rule-based Learning Techniques to Derive Automated Digital Terrain Model Using Airborne LiDAR Data
Jifroudi, HM
;
Mansor, SB
;
Pradhan, B