Analysis of Resampling Methods for the Red Edge Band of MSI/Sentinel-2 for Coffee Cultivation Monitoring

Abstract

Spectral indices such as NDRE (Normalized Difference Red Edge Index), CCCI (Canopy Chlorophyll Content Index), and IRECI (Inverted Red Edge Chlorophyll Index), based on the Red Edge band of MSI/Sentinel-2 (B05, B06, B07 images), are essential tools in coffee monitoring. These indices require resampling the Red Edge band (20 m resolution) to match the NIR (10 m resolution) using methods such as nearest neighbor, bilinear, cubic, and Lanczos. In this technical note, we evaluated these resampling methods using two original B05 images, selected on November 24, 2023, and September 21, 2023, with reference points from the farms "Ouro Verde" (15 hectares) in Barra do Choça (BA) and "Canto do Rio" (45 hectares) in Luís Eduardo Magalhães (BA), respectively. A total of 500 random points were generated and analyzed using PSF, linear models, and cross-validation with metrics such as R², MAE, and RMSE. The PSF analysis indicated the integrity of the data for further analysis. The cubic method showed the best performance (R² = 0.996, MAE = 20.87, RMSE = 32.67). The validation results of the resampling methods suggest that this procedure is crucial for accurate digital processing in remote sensing for coffee cultivation and should be aligned with the study objectives.

Plant phenotyping relevance

コーヒー栽培における植物キャノピーのスペクトル指標算出を対象に、Sentinel-2赤縁バンドのリサンプリング手法を比較・検証しており、植物状態推定の技術的手法が中心である。

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