The characterization of multispectral images of the Batangas coastline using machine learning and UAV imaging

Steven Pe; Jazzie Jao; Jumar Cadondon; Prane Mariel Ong; Ofelia Rempillo; Maria Cecilia Galvez; Arnel Beltran; Aileen Oberdico; Yves Plancherel; Pablo Brito-Parada; Myriam Prasow-Edmond; Edgar Vallar

doi:10.1117/12.3042579

20 December 2024 The characterization of multispectral images of the Batangas coastline using machine learning and UAV imaging

Steven Pe, Jazzie Jao, Jumar Cadondon, Prane Mariel Ong, Ofelia Rempillo, Maria Cecilia Galvez, Arnel Beltran, Aileen Oberdico, Yves Plancherel, Pablo Brito-Parada, Myriam Prasow-Edmond, Edgar Vallar

Author Affiliations +

Proceedings Volume 13266, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications VIII; 132660T (2024) https://doi.org/10.1117/12.3042579
Event: Asia-Pacific Remote Sensing, 2024, Kaohsiung, Taiwan

Conference Poster

Abstract

Accurate and precise monitoring of coastal environments allows for the better preservation of their biodiversity. This study applies multispectral imaging, Unmanned Aerial Vehicles (UAVs), and supervised and unsupervised techniques to characterize a coastal area in Batangas, Philippines. Multispectral image data was gathered using a DJI Mavic 3M drone. Afterwards, vegetation maps using NDVI, GNDVI, NDRE, and LCI were generated. Regions of the image were then clustered using the k-means clustering algorithm to define habitats in the area of study. These clusters were then used to train supervised machine-learning algorithms for pixel-based image classification. After classifying the entire image with these models, the identified habitats were characterized based on their associated vegetation index measurements. It was found that aquatic areas of the image possessed scores associated with healthy and photosynthetically active water.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Steven Pe, Jazzie Jao, Jumar Cadondon, Prane Mariel Ong, Ofelia Rempillo, Maria Cecilia Galvez, Arnel Beltran, Aileen Oberdico, Yves Plancherel, Pablo Brito-Parada, Myriam Prasow-Edmond, and Edgar Vallar "The characterization of multispectral images of the Batangas coastline using machine learning and UAV imaging", Proc. SPIE 13266, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications VIII, 132660T (20 December 2024); https://doi.org/10.1117/12.3042579

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE