The satellite to be launched by the Astranis-Orbits Corp. partnership is expected to generate $400 million in investment over the next eight years. The MicroGEO satellite and succeeding ones are expected to provide internet service in the unserved and underserved areas of the Philippines, covering up to 10 million users and 30,000 barangays.  photograph courtesy of Astranis-Orbit Corp.
NATION

Satellite tech offers clearer picture of flood, drought damage to rice farms

Jonas Reyes

The condition of the country’s rice industry, particularly areas affected by flooding and drought, can now be measured more accurately using satellite-based Earth Observation (EO) methods, according to a recent study.

The study, conducted by Dr. Arnan Araza of Wageningen University & Research and Engr. Elmer Alosnos of the Department of Agriculture–Philippine Rice Research Institute (DA-PhilRice), found that EO-based methods provide a more systematic and organized way of assessing damage to rice fields.

EO technology uses satellite and aerial data to monitor rice farms without the need for physical field inspections. The system integrates data from the Philippine Rice Information System (PRiSM) maps of DA-PhilRice to measure farm areas and generate projections on national rice production.

The study cited the application of EO-based methods in Iloilo during Typhoon Odette in 2021 and the drought in 2024, when PRiSM maps and data from various sources were used to determine the extent and location of affected rice fields.

Researchers said the technology makes it easier to assess the scope and severity of calamities, crop growth stages, expected yields, production costs, and farmgate prices.

The study also recommends integrating EO-based methods into the national government’s existing reporting system to help identify areas needing immediate assistance, locations vulnerable to climate-related risks, and inputs for crop insurance design.

In addition, incorporating EO-based methods into Climate Information Services could enhance impact-based forecasting and anticipatory action, helping strengthen preparedness and protect farmers’ livelihoods.