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Sub-meter resolution imagery proves crucial for accurate cocoa mapping in Cote d'Ivoire

A new research paper evaluates the necessity of sub-meter resolution imagery for accurate cocoa mapping in Cote d'Ivoire. The study found that very high resolution (VHR) imagery, specifically 0.5 m Pleiades, achieved the highest performance (F1 = 0.92) and maintained accuracy across various landscape conditions. While decametric inputs like TESSERA (F1 = 0.86) and foundation-model embeddings from AlphaEarth Foundations (AEF) (F1 = 0.82) offer scalable alternatives, VHR imagery proved particularly beneficial in complex, fragmented landscapes. AI

IMPACT Foundation models offer a scalable alternative for large-area cocoa mapping, potentially aiding deforestation monitoring and supply-chain transparency.

RANK_REASON The cluster contains a research paper published on arXiv detailing a study on Earth observation imagery for cocoa mapping.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Sub-meter resolution imagery proves crucial for accurate cocoa mapping in Cote d'Ivoire

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The cluster contains a research paper published on arXiv detailing a study on Earth observation imagery for cocoa mapping.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Kasimir Orlowski, Filip Sabo, Michele Meroni, Astrid Verhegghen, Mariana Belgiu, Felix Rembold ·

    Is sub-metre resolution necessary for cocoa mapping? A landscape-stratified evaluation of very high resolution imagery, decametric Earth Observation inputs, and operational products in Cote d'Ivoire

    arXiv:2607.08945v1 Announce Type: new Abstract: Accurate cocoa mapping is increasingly important for deforestation monitoring, supply-chain transparency, and regulatory applications. Spatial aggregation in conventional medium-resolution Earth observation (EO) imagery may limit co…

  2. arXiv cs.CV TIER_1 English(EN) · Felix Rembold ·

    Is sub-metre resolution necessary for cocoa mapping? A landscape-stratified evaluation of very high resolution imagery, decametric Earth Observation inputs, and operational products in Cote d'Ivoire

    Accurate cocoa mapping is increasingly important for deforestation monitoring, supply-chain transparency, and regulatory applications. Spatial aggregation in conventional medium-resolution Earth observation (EO) imagery may limit cocoa detection in heterogeneous smallholder lands…