Persistent Digital Identifiers (UIDs)
ORCID :
https://orcid.org/0000-0003-3255-9477
Highest Degree
Bachelor's Degree in Geodetic Engineering
Subject Area
Marine and Coastal Engineering
Research Support Services
Activities
I currently serve as a Project Technical Specialist IV at the Philippine Space Agency within the Space Data Mobilization and Applications Division. My work is primarily focused on advancing remote sensing applications. This involves processing and analyzing different data such as satellite and drone to derive environmental and spatial data. I specialize in applying machine learning and deep learning techniques to develop a variety of remote sensing products, including land cover classifications, benthic habitat maps, and bathymetric maps. These products are essential for various applications such as environmental monitoring, resource management, and disaster response, contributing to informed decision-making and policy development.
Skills
I specialize in processing and analyzing a diverse range of remote sensing data, including optical satellite imagery, synthetic aperture radar (SAR) data, LiDAR data, and drone imagery. My expertise lies in applying advanced machine learning techniques to extract and develop essential geospatial products, such as land cover maps, benthic cover classifications, bathymetry, and other derived outputs.
To achieve these results, I utilize a variety of remote sensing and geospatial analysis tools, including Google Earth Engine, SNAP, and QGIS. For machine learning applications, I primarily use Python as my programming language of choice, enabling the automation and enhancement of data processing workflows to produce accurate results.
In addition to generating maps from remote sensing data, I also conduct ground validation to ensure the accuracy of these products. This involves using various equipment and sensors, such as echosounder, unmanned aerial vehicles (UAVs), and GPS devices, to collect field data that can be compared with and used to calibrate the remote sensing outputs. This ground-truthing process is essential for verifying the accuracy of land cover classifications, bathymetric models, and other derived products, ultimately enhancing the reliability and credibility of the final maps.