Activities
I want to grow my knowledge in vast ocean data and I attended online classes from
INCOIS learn how to use FERRET tools and Ocean Colour Remote sensing and GIS,
Remote Sensing experience from IIRS also hand on experience in using python
programming and R and Matlab
Skills
When i was perusing my Internship at The National Remote Sensing Centre (NRSC) in Shadnagar, India, plays a pivotal role in
advancing remote sensing research and applications, particularly in the domain of
oceanography. As part of an internship during the second year of my Master of Science
(MSc) program, I had the privilege of working at NRSC under the guidance of esteemed
scientists. The focus of my internship was on the "Identification of Thermal Fronts in the
North Indian Ocean using MODIS SST Data." Under the mentorship of experienced
scientists, I embarked on a journey to explore the intricate dynamics of oceanic thermal
fronts and their detection using state-of-the-art remote sensing techniques. The primary
objective of my internship was to develop methodologies for detecting and characterizing
thermal fronts in the North Indian Ocean using MODIS SST data. To achieve this goal, I
employed a combination of remote sensing tools, geospatial analysis techniques, and
established oceanographic principles. The workflow involved the acquisition of MODIS
SST imagery, preprocessing of the data to remove artifacts and enhance quality, and the
application of specialized algorithms for front detection. One such tool utilized in my
research was the Marine Geospatial Ecology Tools (MGET), which provided a
comprehensive suite of functionalities for processing and analyzing oceanographic data.
The identification of thermal fronts in the North Indian Ocean presented several
challenges due to the complex nature of the regions oceanography. The North Indian
Ocean is characterized by diverse oceanographic features, including coastal upwelling
zones, monsoonal variability, and interactions with the Arabian Sea, Bay of Bengal, and
the Indian Ocean basin. These factors contribute to the formation and variability of
thermal fronts, making their detection and characterization a non-trivial task. Furthermore,
the presence of cloud cover, atmospheric interference, and sun glint in satellite imagery
posed additional challenges to the accurate extraction of SST data and front detection
algorithms. One of the notable features in the oceanic environment is the occurrence of
thermal fronts. Thermal fronts are boundaries between water masses with distinct
temperature gradients, where warmer and cooler waters meet. These fronts often manifest
as sharp transitions between different temperature regimes, indicating areas of enhanced
oceanic activity and mixing. Thermal fronts can arise due to a variety of processes,
including differential heating, ocean currents, wind-driven convergence, and interactions
with coastal features. They occur in both coastal and open ocean environments and exhibit
dynamic behavior, shifting in response to seasonal changes, atmospheric forcing, and
oceanic circulation patterns. Sea Surface Temperature (SST) is a fundamental parameter
in understanding the dynamics of the worlds oceans. It refers to the temperature of the
uppermost layer of the ocean, typically the top few millimeters, and plays a crucial role in
influencing weather patterns, marine ecosystems, and global climate dynamics. SST is a
key indicator of oceanic processes such as upwelling, mixing, and circulation patterns,
which have significant implications for marine life, fisheries, and climate regulation.
Variations in SST are influenced by a multitude of factors, including solar radiation, ocean
currents, wind patterns, and geographical features such as coastlines and bathymetry.
Comment(s)
I want to grow my knowledge in vast ocean data and I attended online classes from INCOIS learn how to use FERRET tools and Ocean Colour Remote sensing and GIS, Remote Sensing experience from IIRS also hand on experience in using python programming and R and Matlab
