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The retrieval of crop biophysical parameters using spectral indices obtained from high temporal and spatial resolution satellite data, isa valuable tool to monitor crop growth and status. Tasseled Cap Features (TCFs) for RapidEye data were derived from spectralvariances typically present in agricultural scenes. The TCF Greenness (GRE) was aligned to the spectral variance of vital vegetation,and therefore, it represents the typical reflectance characteristics of green vegetation, with relatively higher reflectance at the nearinfrared(NIR) range. The TCF Yellowness (YEL) was aligned to correspond to the reflectance characteristics of senescent crops, withrelatively higher reflectance in the visible portion of the spectrum due to chlorophyll breakdown, and lower reflectance in the NIRrange due to cell structure decomposition compared to vital green vegetation. The goal of this work was to assess the potential ofRapidEye’s TCFs for the prediction of green leaf area index (LAI), plant chlorophyll (Chl), and nitrogen (N) concentration, as well asthe identification of senescence patterns. The linear relationships between the biophysical parameters and the TCFs were compared tothe performance of the widely used indices NDVI and PSRI. Preliminary results indicate that GRE is strongly related to LAI in vitalcrops and suggests a higher predictive power than NDVI. YEL demonstrated a strong linear relation and a higher potential to estimateChl and N concentration in senescent soft white winter wheat (<i>Triticum aestivum</i> L.) in comparison to PSRI. PSRI showed a strongercorrelation to Chl in senescent soft white spring wheat (<i>Triticum aestivum</i> L.), compared to YEL. Results indicate that YEL may beused to characterize the variability in senescence status within fields. This information, in conjunction with soil fertility and yield maps,can potentially be used to designate precision management zones

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

The Tasseled Cap Transformation for RapidEye data and the estimation of vital and senescent crop parameters