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

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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Journal
Air Soil and Water Research
Published
2025-09-01
DOI
https://doi.org/10.1177/11786221251374648
Primary Topic
Hydrology and Drought Analysis
Type
article
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article

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

Jomar Aban, Don Eliseo Lucero‐Prisno, Jerico Bautista Ogaya, Janice D. Usi
Air Soil and Water Research
Hydrology and Drought Analysis
article

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

Jomar Aban, Don Eliseo Lucero‐Prisno, Jerico Bautista Ogaya, Janice D. Usi
article en

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.

Air Soil and Water ResearchVol. 18
University of Makati (PH), Don Mariano Marcos Memorial State University (PH), London School of Hygiene & Tropical Medicine (GB), Far Eastern University (PH)
Openalex Percentile: Top 77%
Hydrology and Drought Analysis
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Adapting Multi-Index Remote Sensing for Drought Early Warning in Southeast Asia: Reflections on the Ethiopian Highland Study — Jomar Aban, Don Eliseo Lucero‐Prisno, et al. · Air Soil and Water Research (2025) | TGRS Research Map | TGRS