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Present Research Interests: 1. Scope of Landsat satellite data in Precision Agriculture 2. Application of Emissivity and Land Surface Temperature in studies related to Thermal Pollution, Forest Fires, Coal Fires, Volcano Monitoring, Pre-Earthquake Thermal Anomalies, Geothermal Anomalies. 3. Other Interests: Natural Resource Management, Natural Hazards, Coastal Zone Management, Disaster Management, Utilities, Urban Studies, Anthropology, Humanitarian Aid, Public Health, Land Surveying
August 2020 - present
Derek G. Graham Limited
- Survey Assistant
- Assisting Derek Gibson Graham OLS OLIP with Professional Land Surveying, Land Use Planning and Drainage Engineering in Centre Wellington, South-Central Ontario, Canada
February 2020 - present
- Independent Researcher
- Remote Sensing and GIS applications in Precision Agriculture, Natural Resource Management, Coastal Zone Management and Forestry.
April 2018 - January 2020
National Centre for Earth Science Studies (NCESS), Ministry of Earth Sciences (MoES), Govt. of India
- GIS Analyst (Project Assistant)
- Working on Coastal Zone Management Plan (CZMP) of Kerala and Maharashtra states in India, based on the Coastal Regulation Zone (CRZ) Notification, 2011.
July 2013 - July 2014
Field of study
- Remote Sensing, GIS, Computers & Programming, Environmental Statistics, Cartography, Applied Mathematics, Digital Image Processing, Multivariate Data Analysis, Photogrammetry, Spatial Data Modeling, Research methodology & Thesis Writing
The Normalized Difference Vegetation Index (NDVI) is a commonly used vegetation index for a wide range of purposes. In crop production NDVI is applied, amongst others, to monitor crop status and vigour, predict yields and prescript doses of nitrogen fertilizers. The calculation of NDVI requires the reflectance in Near Infrared (NIR) and Red (RED) w...
Estimating the influence of soil moisture on geothermal anomalies in remotely sensed thermal infrared data can be a worthwhile pursuit in reconnaissance stage of geothermal energy exploration. Such an activity can assist in making informed decisions while selecting suitable sites for preliminary survey. Previous studies have examined the effects o...
An area in the US Region was selected for LST estimation because provisional Surface Temperature product was available for comparison with the LST output from the RTM ArcGIS model. Landsat 8 thermal infrared Band 10.8 µm was used as input along with the corresponding NDVI image for TOA Reflectance and Emissivity calculations respectively. Emissivit...
A concise summary of a week long project work on 'Landslide Susceptibility Assessment for St. Lucia Island in the Caribbean Sea' as a part of the Course Module - 'Empirical Modeling of Hazard Processes'. The findings of the project were presented in the form of a Susceptibility Map.
Landsat 8 satellite captured the ’before’ and ’ongoing’ situation of the Blue Cut Wildfire in the Cajon Pass, northeastern San Gabriel Mountains, and Mojave Desert in San Bernardino County, California. The fire was reported to have started on 16th August, 2016. Landsat 8 imagery from 18th Aug. shows the already burnt areas as well as the ongoing fi...
A tropical disturbance which caused havoc in Southern Africa turned towards Madagascar in mid January 2015 developing into a tropical storm Chedza affecting many lives and resources there. This map was made in order to asses the extent of flooding in western Madagascar. Pre and Post disaster images were acquired with LANDSAT 8 to carry out a prelim...
This is an unpublished research poster which has the objective of identifying 5 greenest neighborhoods in Enschede, a Municipality in the Province of Overijssel in the Netherlands. Landsat multispectral satellite datasets of two different time periods were used for generating NDVI Maps for the region and for identifying the greenest neighborhoods i...
Currently, USGS has started providing provisional Surface Temperature Images for Landsat scenes for the conterminous United States, including Hawaii and Alaska. However, there is no provisional or operational LST product for the Rest of the World. The goal of this project is to create a functional Landsat LST Model using the simplified Radiative Transfer Model for any Landsat scene with the help of ArcGIS Model Builder.