A standardized global approach to assess crop productivity using Earth Observations Big Data

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dc.creatorDe Simone, L.; Fahad, M.; de la O Campos, A.P.; Cabrera Cevallos, C.E.; Ondieki, V.;
dc.date2025-08-26T13:42:37Z
dc.date2025-08-26T13:42:37Z
dc.date2025
dc.date2025-08-26T13:38:10Z
dc.date.accessioned2026-06-27T21:01:08Z
dc.descriptionThis working paper introduces the Crop Potential Productivity Index (CropPI), a global index that integrates Earth Observation Big Data with FAO’s Crop Requirements Database to assess the potential productivity of key staple crops (maize, wheat, and rice). The index combines climate, water availability, and soil parameters into a high-resolution (250m) spatial indicator and includes a penalization strategy for seasonal stressors. CropPI has been tested in 11 African countries and validated against Net Primary Productivity (NPP), DSSAT-simulated yields, and GAEZ data. The paper discusses its applicability for policy, planning, and climate adaptation, and offers recommendations for future improvements, including dynamic phenology, irrigation data integration, and AI-based validation.
dc.format62 p.
dc.formatapplication/pdf
dc.identifier2521-1838
dc.identifier978-92-5-139903-3
dc.identifier2664-5785
dc.identifierhttps://openknowledge.fao.org/handle/20.500.14283/cd5796en
dc.identifier.urihttp://hdl.handle.net/123456789/211031
dc.languageEnglish
dc.publisherFAO ;
dc.relationFAO Agricultural Development Economics Working Paper
dc.relationNo. 25-05
dc.rightsFAO
dc.rightsCC BY 4.0
dc.titleA standardized global approach to assess crop productivity using Earth Observations Big Data
dc.titleDevelopment of a global Crop Potential Productivity Index using Earth Observation Big Data and FAO’s Crop Ecological Requirements Database
dc.typeBook (series)

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