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The capability of very high-resolution satellite imagery for plot-level early wheat stem rust disease detection, monitoring, and phenotyping in Ethiopia

12 Feb 2026 · 10.21203/rs.3.rs-7652033/v1

Abstract

Abstract Very high‑resolution satellites (VHRS) have potential for early crop disease detection and enhanced food security. The capability of multispectral SkySat and Pleiades‑Neo imagery for early detection and monitoring was assessed for wheat stem rust (SR) at the plot level. In randomized trials with contrasting fungicide and irrigation treatments, six bread wheat varieties with differing SR susceptibility were monitored using VHRS. 113 multispectral features were evaluated for their association with SR progression and associated yield loss. Several features demonstrated moderate to strong correlations with SR disease levels. Across early disease stages (healthy-mild-moderate), spectral sensitivity was dominated by Blue (B)‑based features, with Red-Blue (R-B) and Green-Blue (G-B) two-band features at mild and moderate levels, respectively. During late stages (severely-fully diseased), spectral sensitivity was driven by R-based features (e.g., R-B, R-G on both sensors) and by Deep Blue (DB), Red-Edge-DB (RE-DB), and R-DB combinations on Pleiades‑Neo. Early SR detection under moderate disease pressure was possible using ratio (RSI) and normalized difference (NDSI) spectral indices with B-G combinations. Key SkySat features such as RSI(NIR,B), RSI(R,B), and RSI(G,B) were sensitive across scenarios. This work delivers the first VHRS-based SR detection, advancing monitoring from plot to regional scales.

Plant phenotyping relevance

超高解像度衛星のマルチスペクトル画像からコムギ赤さび病の進行・重症度を推定する方法を、複数センサーとスペクトル特徴で評価・検証しており、植物状態の取得が研究の中心である。

abstractThe capability of multispectral SkySat and Pleiades‑Neo imagery for early detection and monitoring was assessed for wheat stem rust (SR) at the plot level.
abstract113 multispectral features were evaluated for their association with SR progression and associated yield loss.
abstractThis work delivers the first VHRS-based SR detection, advancing monitoring from plot to regional scales.

Code and data availability

The article describes satellite imagery (Pleiades-Neo, SkySat), visual disease scoring, and R-based analysis, but no public phenotype dataset, imagery deposit, author code repository, or supplement URL is provided. Satellite scenes were obtained via ESA's Third-Party Mission program (restricted), and Supplementary Data

No evidence-backed public reproduction asset is currently recorded.

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