Velautham Daksiya

ORCID: 0000-0003-4705-261X
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Water resources management and optimization
  • Hydrology and Watershed Management Studies
  • Automated Road and Building Extraction
  • Meteorological Phenomena and Simulations
  • Remote Sensing and LiDAR Applications
  • Climate variability and models
  • Remote-Sensing Image Classification

Nanyang Technological University
2017-2022

Singapore Centre for Environmental Life Sciences Engineering
2017

Abstract The changing climate and the rapid urbanisation may alter flood severity influence decision‐making process for management. In this study, a Multi‐Criteria Decision Analysis (MCDA) framework optimal in protection is developed applied to central flood‐prone basin of Jakarta, Indonesia. Specifically, decisions are on levees corresponding under different rainfall return periods (RP), considering change associated uncertainties, urbanisation, evolving socio‐economic features plain. Three...

10.1111/jfr3.12681 article EN cc-by Journal of Flood Risk Management 2020-11-26

The impact of changing climate on the frequency daily rainfall extremes in Jakarta, Indonesia, is analysed and quantified. study used three different models to assess changes characteristics. first method involves use weather generator LARS-WG quantify between historical future maxima. second approach consists statistically downscaling general circulation model (GCM) output based empirical relationships GCM station rainfall. Lastly, employed recent downscaled global gridded projections...

10.1155/2017/2620798 article EN cc-by Advances in Meteorology 2017-01-01

Accurate building inventories are essential for city planning and disaster risk management. Traditionally generated via census or selected small surveys, these suffer from data quality and/or resolution. High-resolution satellite imagery with object segmentation provides an effective alternative, readily capturing large extents. This study develops a highly automated extraction methodology location-based exposure high (0.5 m) resolution stereo imagery. The development relied on Taipei test...

10.14358/pers.21-00053r2 article EN cc-by-nc-nd Photogrammetric Engineering & Remote Sensing 2022-10-01
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