講演情報
[U06-08]An Integrated Geospatial Framework for Sustainable Aquaculture Monitoring and Development
Loucel Cui1、*Decibel Villarisco Faustino-Eslava1、Moises Dorado2、Danilo III Gonzales1、Rosemarie Laila Areglado-Dimasuay1、Ericha Montecillo-Amante1、Donald Luna1、Sofia Alaira1、Concepcion Khan3、Maria Regina Regalado1、Leo Neil Viado2 (1.School of Environmental Science and Management, University of the Philippines Los Baños, Philippines、2.Institute of Agricultural and Biosystems Engineering, College of Engineering and Agro-industrial Technology, University of the Philippines Los Baños, Philippines、3.Institute of Computer Science, College of Arts and Sciences, University of the Philippines Los Baños, Philippines)
キーワード：
aquaculture、remote sensing、GIS、Philippines
Aquaculture is a critical component of food security, livelihoods, and regional economic development in the Philippines, yet its effective management is constrained by the limited availability of spatially explicit and up-to-date information. This study demonstrates an integrated geospatial framework for nationwide aquaculture monitoring, with a pilot application in three municipalities in Quezon Province. Freely available satellite data from Sentinel-1 (SAR), Sentinel-2 (MSI), and Landsat missions were combined with GIS-based analysis and manual digitization to map aquaculture ponds and cage structures and to assess temporal changes in their spatial extent.
Satellite-derived products were further used to generate high-resolution spatial indicators of water quality, including surface water temperature, turbidity, and chlorophyll-a concentration. Results reveal pronounced spatial variability in these parameters across aquaculture sites, underscoring the influence of localized environmental conditions and the need for site-specific management interventions. The integration of multi-sensor remote sensing data with field observations provides a cost-effective, scalable, and repeatable approach for monitoring aquaculture systems, particularly in data-limited settings.
The proposed framework supports evidence-based decision-making, strengthens policy and regulatory planning, and enhances the capacity of local communities and institutions to respond to environmental variability and climate-related pressures. By demonstrating the utility of integrated geospatial systems for aquaculture assessment, this study contributes to advancing sustainable aquaculture development at both local and national scales.
Satellite-derived products were further used to generate high-resolution spatial indicators of water quality, including surface water temperature, turbidity, and chlorophyll-a concentration. Results reveal pronounced spatial variability in these parameters across aquaculture sites, underscoring the influence of localized environmental conditions and the need for site-specific management interventions. The integration of multi-sensor remote sensing data with field observations provides a cost-effective, scalable, and repeatable approach for monitoring aquaculture systems, particularly in data-limited settings.
The proposed framework supports evidence-based decision-making, strengthens policy and regulatory planning, and enhances the capacity of local communities and institutions to respond to environmental variability and climate-related pressures. By demonstrating the utility of integrated geospatial systems for aquaculture assessment, this study contributes to advancing sustainable aquaculture development at both local and national scales.