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RS-GIS based Rice Residue Energy Potential Assessment: A Case Study in Ubay, Bohol
Galang W.N. (a*), Abucejo M.I.(b), Cinco F.R.(b), Daquio R.(a), Japos A.M.(a), Madanguit V.(a) and Mende, G.(a)

(a) College of Engineering and Computer Studies, Engineering Department, Holy Name University, Philippines
*wgalang[at]hnu.edu.ph
(b)College of Engineering and Computer Studies, Computer Studies Department, Holy Name University, Philippines


Abstract

Rice residue management is a critical aspect of sustainable agriculture and renewable energy development. This study explores the application of geospatial technology for assessing the energy potential of rice residues in Ubay, Bohol. Utilizing remote sensing (RS) and geographic information system (GIS), spatial distribution and biomass availability were analyzed to estimate the recoverable energy from rice husks and straw. The study highlighted the use of data collected from SENTINEL-2 satellite images that was customized for environmental monitoring depicting the province of Bohol vegetation index for the past five years. The satellite images was complemented by Unmanned Aerial Systems (UAS) equipped with multi-spectral sensors enabling the identification of vegetation and agricultural residues. As a result, it was found that the municipality of Ubay rice crop residue in the form of rice husk and rice straw theoretical potential in mass amounted to 2,584,433 metric tons and 3,022,729 metric tons annually. The majority of Ubay^s rice plantations are concentrated in the northwest and central parts of the municipality, which aligns with the clustering of villages that ranked highest in bioenergy potential. The bioenergy potential estimates can reach up to 5,851,350 GJ for rice husk and 6,236,230 GJ for rice straw. Findings emphasized the potential of geospatial tools in identifying high-yield areas, optimizing collection strategies, and promoting sustainable energy solutions.&#8232-

Keywords: remote sensing, GIS, biomass, waste-to-energy, geospatial technology

Topic: Topic A: General Remote Sensing

Plain Format | Corresponding Author (Wenyville Nabor Galang)

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