This study developed a satellite-based methodology for nationwide seagrass mapping using Sentinel-2 imagery and trained students in remote sensing techniques to support the BlueCARES Project Initiative. Preprocessing steps included land masking, water column correction, and shallow water bathymetry extraction. Classification using support vector machine and random forest achieved accuracies of 70–90%, validated against existing maps. By combining technical training with student involvement, the project highlights remote sensing's potential for large-scale mapping and the importance of youth engagement in marine conservation.

This study assessed the use of PRISMA hyperspectral data for detecting coral bleaching in Calatagan, Batangas, alongside sea surface temperature (SST) for validation. In-situ data and interviews with local experts provided additional insights. Sentinel-2 L2A data was used for comparison. The Spectral Angle Mapper (SAM) classified 27.12% of the coral area as bleached. T-tests showed two green bands were not separable, and box plots revealed lower reflectance values for bleached corals. The method achieved 60.6% accuracy for bleached corals and 63.4% overall. Hyperspectral imagery is effective for coral bleaching detection, with improvements suggested for sample diversity.

The Philippine Space Agency (PhilSA) launched the Space Information Infrastructure Capacity Building and Training Program (SIICaP) to promote EO awareness through free online webinars. This paper examines SIICaP's webinars, highlighting their impact on raising awareness of EO data and services. Evaluation results from participants demonstrate the program's success and reach, contributing to the development of similar capacity-building initiatives.