Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 101-108, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-101-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
28 Apr 2015
The Tasseled Cap Transformation for RapidEye data and the estimation of vital and senescent crop parameters
M. Schönert1, E. Zillmann1, H. Weichelt1, J.U.H. Eitel2, T.S. Magney2, H. Lilienthal3, B. Siegmann4, and T. Jarmer4 1BlackBridge, Dept. of Application Research, 10719 Berlin, Germany
2Geospatial Laboratory for Environmental Dynamics, University of Idaho, Moscow, USA
3Julius-Kühn-Institut (JKI), Federal Research Centre for Cultivated Plants, Braunschweig, Germany
4Institute for Geoinformatics and Remote Sensing, University of Osnabrueck, Osnabrueck, Germany
Keywords: Tasseled Cap, RapidEye, crop biophysical parameters, Greenness, Yellowness, NDVI, PSRI, LAI, chlorophyll, nitrogen Abstract. The retrieval of crop biophysical parameters using spectral indices obtained from high temporal and spatial resolution satellite data, is a valuable tool to monitor crop growth and status. Tasseled Cap Features (TCFs) for RapidEye data were derived from spectral variances 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, with relatively higher reflectance in the visible portion of the spectrum due to chlorophyll breakdown, and lower reflectance in the NIR range due to cell structure decomposition compared to vital green vegetation. The goal of this work was to assess the potential of RapidEye’s TCFs for the prediction of green leaf area index (LAI), plant chlorophyll (Chl), and nitrogen (N) concentration, as well as the identification of senescence patterns. The linear relationships between the biophysical parameters and the TCFs were compared to the performance of the widely used indices NDVI and PSRI. Preliminary results indicate that GRE is strongly related to LAI in vital crops and suggests a higher predictive power than NDVI. YEL demonstrated a strong linear relation and a higher potential to estimate Chl and N concentration in senescent soft white winter wheat (Triticum aestivum L.) in comparison to PSRI. PSRI showed a stronger correlation to Chl in senescent soft white spring wheat (Triticum aestivum L.), compared to YEL. Results indicate that YEL may be used 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.
Conference paper (PDF, 1113 KB)


Citation: Schönert, M., Zillmann, E., Weichelt, H., Eitel, J. U. H., Magney, T. S., Lilienthal, H., Siegmann, B., and Jarmer, T.: The Tasseled Cap Transformation for RapidEye data and the estimation of vital and senescent crop parameters, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 101-108, https://doi.org/10.5194/isprsarchives-XL-7-W3-101-2015, 2015.

BibTeX EndNote Reference Manager XML