Manjula Ranagalage

Dados Biográficos

ID6323111
NOMEManjula Ranagalage
PRENOMESManjula
SOBRENOMERanagalage
ASSINATURARANAGALAGE M
AFILIAÇÕESUniversity of Tsukuba
ORCID0000-0001-7540-0103
VERIFICADOSim
TOTAL DE OBRAS6
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0

  • Overview of Lightning Trend and Recent Lightning Variability over Sri Lanka

    Open AccessVindhya Kalapuge, Dilaj Maduranga et al.ARTICLEISPRS International Journal of…2023

    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’s Tropical Rainfall Measuring Mission (TRMM) satellite from 1998 to 2014 and the Lightning Imaging Sensor placed on the International Space Station (ISS) from 2018 to 2021 were used for the study.…

  • An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

    Open AccessVyddiyaratnam PATHMANANDAKUMAR, Nadarajapillai Thasarathan et al.ARTICLEISPRS International Journal of…2021

    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 remote sensing (RS), geographic information systems (GIS) and the analytical hierarchy process (AHP). Groundwater potential zones are demarcated for the Kilinochchi district by overlaying themati…

  • Decision Tree Algorithms for Developing Rulesets for Object-Based Land Cover Classification

    Open AccessDarius Phiri, Matamyo Simwanda et al.ARTICLEISPRS International Journal of…2020

    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 compared, especially on their effectiveness to produce accurate thresholds for developing rulesets for object-based land cover classification. Here, the focus was on comparing the performance of five …

  • Examining Land Use/Land Cover Change and the Summertime Surface Urban Heat Island Effect in Fast-Growing Greater Hefei, China

    Open AccessYingying Li, Ying-Ying Li et al.ARTICLEISPRS International Journal of…2020

    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 heterogeneous patterns of LULC change. The concentric buffer-based urban–rural gradient analysis reveals that most of the newly emerging developed land occurred within downtown Hefei. In contrast, in…

  • Spatiotemporal Variation of Urban Heat Islands for Implementing Nature-Based Solutions

    Open AccessManjula Ranagalage, Sujith S Ratnayake et al.ARTICLEISPRS International Journal of…2020

    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 livelihoods and systems. This study investigated the spatiotemporal variation of the UHI in the Kurunegala urban area (KUA) of North-Western Province, Sri Lanka. The KUA is one of the most intensively deve…

  • Modeling the drivers of urban land use changes in Lusaka, Zambia using multi-criteria evaluation

    Open AccessMatamyo Simwanda, Yumi Murayama et al.ARTICLELand Use Policy2020Referências: 36