Retrieval of crop chlorophyll content and leaf area index from decompressed hyperspectral data: the effects of data compression

摘要: Abstract The objective of this study is to evaluate whether the retrieval leaf chlorophyll content and area index (LAI) for precision agriculture application from hyperspectral data significantly affected by compression. This analysis was carried out using sets acquired Compact Airborne Spectrographic Imager (CASI) over corn fields at L'Acadie experimental farm (Agriculture Agri-Food Canada) during summer 2000 corn, soybean wheat former Greenbelt in three intensive field campaigns 2001. Leaf LAI were retrieved original reconstructed compressed/decompressed compression algorithm called Successive approximation multi-stage vector quantization (SAMVQ) ratios 20:1, 30:1, 50:1. products evaluated against ground-truth. In (the first set), spatial patterns examined all images created proven be visually unchanged, as expected. measures R2, absolute RMSE, relative RMSE between derived cubes, laboratory-measured values calculated well. results show accuracy crop not SAMVQ 50:1, observed uncertainties ground truth values. second qualitative quantitative analyses performed. that temporal are accuracies measured ground-measured estimated either.