GIS-Based Land Suitability Analysis for Solar Powered Irrigation System in Non-Irrigated Rice Production Areas of Davao Del Norte

  • Sheila Cogay University of Southeastern Philippines
  • Ireneo P. Amplayo University of Southeastern Philippines
  • Roland R. Bayron University of Southeastern Philippines
  • Ruben V. Cantones University of Southeastern Philippines
Keywords: solar power, irrigation, analytical hierarchy process, multiple criteria decision-making

Abstract

The Solar-Powered Irrigation System (SPIS) flagship program of the Department of Agriculture (DA) has been undertaken with the purpose of creating a vibrant agricultural economy, but its provision is currently limited due to its budget allocation. Because of this, detailed information and accurate planning are essential in identifying the most suitable locations for SPIS installation, optimizing system potential and maximizing limited resources. This study aimed to develop a provincial land suitability map of SPIS that will serve as a tool for farmers, Local Government Units, and other interested entities. Its result was obtained by combining the Analytical Hierarchy Process and the Geographical Information System Weighted overlay technique. The obtained data indicates that 0.10% (334.93 ha), 29.40% (102,696.34 ha), 37.24% (130,078.61 ha), 4.79% (16,746.29 ha) and 28.47% (99,439.60 ha) of Davao del Norte province are positioned in extremely, highly, moderately, less, and unsuitable areas, respectively. Extremely suitable areas are found in Samal (314 ha), Sto. Tomas (15 ha), and Panabo (7 ha), with non-irrigated rice production areas of 67 ha, 288 ha, and 125 ha, respectively. Asuncion and Kapalong have the highest non-irrigated rice areas of 739 and 721 hectares, respectively, with a total rating of 90% for highly suitable (22,097.95 ha) and 29% (11,241.40 ha) for moderately suitable. Non-irrigated rice areas intersect mostly in highly suitable regions; it is highly recommended that these municipalities are prioritized in establishing SPIS projects.

Published
2020-03-31
How to Cite
Cogay, S., Amplayo, I., Bayron, R., & Cantones, R. (2020). GIS-Based Land Suitability Analysis for Solar Powered Irrigation System in Non-Irrigated Rice Production Areas of Davao Del Norte. Southeastern Philippines Journal of Research and Development, 25(1), 47-73. Retrieved from https://journal.usep.edu.ph/index.php/Southeastern_Philippines_Journal/article/view/45