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Vindhya Kalapuge, Dilaj Maduranga, Niranga Alahacoon, Mahesh Edirisinghe, Rushan Abeygunawardana and Manjula Ranagalage
The study was conducted to analyze spatial and temporal variations of lightning activity over Sri Lanka and the surrounding coastal belt region bounded by 5.75?10.00 N and 79.50?89.00 E. Flash data collected by the Lightning Imaging Sensor (LIS) on NASA?...
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Uruvitiya Gamage Dilaj Maduranga, Mahesh Edirisinghe, Niranga Alahacoon and Manjula Ranagalage
This study is oriented towards the investigation of the spatiotemporal variability of the lightning activity over the railway network in Sri Lanka using -lightning data from 1998 to 2014 that were downloaded from the database of Lightning Imaging Sensor ...
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Manjula Sharma, Akshita Gupta, Sachin Kumar Gupta, Saeed Hamood Alsamhi and Alexey V. Shvetsov
In recent years, the area of Unmanned Aerial Vehicles (UAVs) has seen rapid growth. There has been a trend to build and produce UAVs that can carry out planetary exploration throughout the past decade. The technology of UAVs has tremendous potential to s...
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Manjula Lingala, Phani Chandrasekhar Nelapatla and Kusumita Arora
Continuous time series data from geomagnetic observatories are increasingly contaminated by anthropogenic noise related to developing socio-economic activities. More and more sophisticated techniques of data processing are used to eliminate this noise; n...
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Lanthika Dhanapala, M. H. J. P. Gunarathna, M. K. N. Kumari, Manjula Ranagalage, Kazuhito Sakai and T. J. Meegastenna
The Nilwala river basin is prone to frequent flooding during the southwest monsoon and second intermonsoon periods. Several studies have recommended coupling 1D and 2D models for flood modelling as they provide sufficient descriptive information of flood...
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Vyddiyaratnam Pathmanandakumar, Nadarajapillai Thasarathan and Manjula Ranagalage
The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the main objective of this study is to delineate potential groundwater zones in Kilinochchi, Sri Lanka, using integrated...
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Darius Phiri, Matamyo Simwanda, Vincent Nyirenda, Yuji Murayama and Manjula Ranagalage
Decision tree (DT) algorithms are important non-parametric tools used for land cover classification. While different DTs have been applied to Landsat land cover classification, their individual classification accuracies and performance have not been comp...
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Ying-ying Li, Yu Liu, Manjula Ranagalage, Hao Zhang and Rui Zhou
In this study, a retrospective analysis of the relationship between the land use/land cover (LULC) change and associated surface urban heat island (SUHI) effect in fast-growing Greater Hefei between 1995 and 2016 was performed. Our results reveal the het...
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Manjula Ranagalage, Sujith S. Ratnayake, DMSLB Dissanayake, Lalit Kumar, Hasula Wickremasinghe, Jagathdeva Vidanagama, Hanna Cho, Susantha Udagedara, Keshav Kumar Jha, Matamyo Simwanda, Darius Phiri, ENC Perera and Priyantha Muthunayake
Changes in the urban landscape resulting from rapid urbanisation and climate change have the potential to increase land surface temperature (LST) and the incidence of the urban heat island (UHI). An increase in urban heat directly affects urban livelihoo...
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DMSLB Dissanayake, Takehiro Morimoto, Manjula Ranagalage and Yuji Murayama
An urban heat island (UHI) is a phenomenon that shows a higher temperature in urban areas compared to surrounding rural areas due to the impact of impervious surface (IS) density, and other anthropogenic activities including changes of land use/land cove...
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