The Philippine rice information system (PRiSM): An operational monitoring and information system on rice

Authors

Mary Rose Mabalay, Philippine Rice Research Institute
Jeny Raviz, International Rice Research Institute
Elmer Alosnos, Philippine Rice Research Institute
Massimo Barbieri, Sarmap
Emma Quicho, International Rice Research Institute
Jesiree Elena Ann Bibar, Philippine Rice Research Institute
Mabel Barroga, Philippine Rice Research Institute
Meriam Coñado, Philippine Rice Research Institute
Pristine Mabalot, Philippine Rice Research Institute
Jean Rochielle Mirandilla, Philippine Rice Research Institute
Arturo Arocena, Philippine Rice Research Institute
Juanito Maloom, Philippine Rice Research Institute
Gerald Bello, Philippine Rice Research Institute
Ederlina Cariño, Philippine Rice Research Institute
Gina de Mesa, Philippine Rice Research Institute
Norlyn Detoito, Philippine Rice Research Institute
Harvey Gonzaga, Philippine Rice Research Institute
Nonilon Martin, Philippine Rice Research Institute
Mitzi Philline Tejada, Philippine Rice Research Institute
Mary Jane Vives, Philippine Rice Research Institute
Marjie Lastimoso, Philippine Rice Research Institute
Darlynne Kaye Bumagat, Philippine Rice Research Institute
Henry Cayaban, Philippine Rice Research Institute
Michael Barroga, Philippine Rice Research Institute
Ruvicyn Bayot, International Rice Research Institute
Abel Melquiades Callejo, International Rice Research Institute
Neale Marvin Paguirigan, International Rice Research Institute
Mary Anne Gutierrez, International Rice Research Institute
Gene Christhopher Romuga, International Rice Research Institute
Frances Grace Amanquiton, International Rice Research Institute
Janica Gan, Philippine Rice Research Institute
Ethel Princess Banasihan, International Rice Research Institute
Creigton Czar Guevarra, International Rice Research Institute

Document Type

Article

Publication Date

3-28-2022

Abstract

The Philippine Rice Information System (PRiSM) is an operational monitoring and information system that delivers timely information on rice production at a national level. PRiSM uses time series Synthetic Aperture Radar (SAR) and smartphone-based field surveys to gather actual crop growth parameters. Pre-processing of SAR is done automatically, and a rule-based algorithm and a crop simulation model are used to classify rice areas and estimate yield. The PRiSM products consist of: (i) rice area; (ii) start of season (SoS) maps or planting dates; and (iii) mid-season forecast and end of season yield estimates. Data generated by PRiSM are analyzed, validated and shared with target users through its website (). The users of PRiSM data include the Department of Agriculture Central and Regional Field Offices, government agencies, universities, and private sectors. This chapter presents the PRiSM data from 2016 to 2018. The technology, partnership, achievements, and lessons learned in establishing the remote sensing-based national rice monitoring system are also presented.

Publication Source (Journal or Book title)

Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries

First Page

133

Last Page

150

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