Mr. Kesav Unnithan Sreekuttan Lakshmi Devi
Department of Civil Engineering
With my background in Computer Science, I got introduced to the practical and implementable applications of Remote Sensing and Geographical Information Systems (GIS) under the expert supervision of Indian Space Research Organisation (ISRO).
I am currently pursuing my research on the Application of model data fusion techniques for natural hazards modeling and analytics in developing countries especially in the Indian subcontinent working with of Dr. Basudev Biswal (IIT Bombay), Dr. Christoph Rudiger (Monash University), and Dr. Mahesh Prakash (CSIRO).
This work primarily focusses on the development of computationally efficient methods for modeling flood events in large data scarce regions which can be executed by using novel remote sensing data including GNSS-R, as in the case of CYGNSS. Primarily an ocean-based remote sensing mission, Cyclone – GNSS (CYGNSS) data has been found to be useful in the detection of flood events over land surfaces. I am currently involved in whether such data can be fused with conceptual flood models with a lead time of 2-3 days.
Master of Technology (Geoinformatics), Indian Institute of Space Science and Technology, 2018
Bachelor of Technology (Computer Science and Engineering), Cochin University of Science and Technology, 2016
- Optical Remote Sensing
- SAR Remote Sensing
- Geographical Information Systems (GIS)
- Advanced Hydrological Analysis and Design
- Statistical Geospatial Analysis and Modelling
- Student Member, IEEE – Geoscience and Remote Sensing Society
- Student Member, International Society for Photogrammtery and Remote Sensing (ISPRS)
- Student Member, Indian Society for Remote Sensing (ISRS)
- Student Member, IEEE
Novel Flood Mapping Methods including GNSS-R, Conceptual Models for Flood prediction using Remote Sensing and GIS
Spatio-Temporal Mixed Effect Modelling for the Estimation of PM2.5 from MODIS AOD over the Indian subcontinent (Jul 2017 – May 2018)
A novel method to calibrate AOD obtained from the MODerate resolution Imaging Spectrometer (MODIS – Terra) satellite. The Combined Deep Blue DeepTarget daily product from the MODIS AOD data acquired across the Indian Subcontinent was used as input and the PM2.5pollution level data averaged daily obtained from 33 monitoring stations spread across the country was used for calibration. The Mixed Effect Model(MEM) was applied to the data obtained for the period from January to August 2017.
Estimation accuracy was further improved up to an R2 value of 0.75 upon the inclusion of temporal (meteorological) variables such as temperature, and spatial variables such as the percentage of agricultural area, forest cover, barren land and road density within one grid cell.
Automated Cloud and Cloud Shadow Detection using Modified F – Mask Algorithm (Mar 2018)
Detecting both Cloud pixels and Cloud Shadow Pixels using modified F-Mask Algorithm for given Landsat 8 Optical Imagery.
Impact of Direct Aerosol Radiative Forcing over the Himalayan region (Nov 2017)
Investigated the anomalous forest fire events and their impact on atmospheric radiation budget and glaciated snow cover over the Himalayan region.
Remote Sensing Data Repository for Remote Sensing Lab, Indian Institute of Space Science and Technology (ISRO) implemented using Open-Layers Maps (Apr 2017 – Jun 2017)
Live Weather Balloon Tracking Visualization on Google Earth of Radiosonde balloon released at Vikram Sarabhai Space Center (ISRO) (Dec 2016 – Mar 2017)
GIS Site Suitability Analysis of Hospitals in Nedumangad Taluk in Thiruvananthapuram, Kerala implementing Analytical Hierarchical Processing (Aug 2016 – Nov 2016)
Android Implementation of Brainwave Sensing is a gaming application that improves the ability of concentration of a particular individual done with the help of Neurosky Thinkgear Technology (Jul 2015 – Apr 2016)
- S L Kesav Unnithan, L. Gnanappzham, Estimation of PM2.5 from MODIS Aerosol Optical Depth over the Indian subcontinent, Applications of Geomatics in Civil Engineering: Select Proceedings of ICGCE 2018, Springer, ISBN 978-981-13-7067-0.
- S L Kesav Unnithan, Lakshmi Devi C, Sreekuttan Unnithan C, Survey of Detection of Sinkhole Attacks in Wireless Sensor Networks, International Journal of Computer Science and Information Technologies, Vol. 6 (6), 2015, 4904-4909.
Last modified: 22/11/2019