Adapting Multi-Index Remote Sensing for Drought Early Warning in Southeast Asia: Reflections on the Ethiopian Highland Study

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Abstract

Effective and efficient drought monitoring reinforces food security, particularly under climate change. In the Philippines, this intersects with strategic plans under the Climate Change Commission’s NCCAP and the Department of Agriculture’s AMIA framework. A remotely sensed, index-based drought early warning system, rooted in the VDI-SPEI framework of Alito et al., could quicken the transition from reactive to anticipatory drought governance in the region. Alito et al. offer an exemplary remote sensing-based methodology that is highly transferable to Southeast Asian agroecosystems. Their findings advocate for the integration of multi-index drought detection systems into national disaster risk management and climate adaptation policies. Future scholarly research undertakings should focus on ground-truth validation of VDI in tropical cropping systems and assess its integration with real-time advisory platforms for farmers and local governments.

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Aban, J. L., Lucero-Prisno, D. E., Ogaya, J. B., & Usi, J. D. (2025). Adapting Multi-Index Remote Sensing for Drought Early Warning in Southeast Asia: Reflections on the Ethiopian Highland Study. Air, Soil and Water Research, 18. https://doi.org/10.1177/11786221251374648

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