TY - JOUR ID - blackburn2007 AU - Blackburn, George Alan TI - Hyperspectral remote sensing of plant pigments UR - http://jxb.oxfordjournals.org/content/58/4/855.abstract DO - 10.1093/jxb/erl123 T2 - Journal of Experimental Botany PY - 2007 DA - March 1, 2007 VL - 58 IS - 4 SP - 855-867 AB - The dynamics of pigment concentrations are diagnostic of a range of plant physiological properties and processes. This paper appraises the developing technologies and analytical methods for quantifying pigments non-destructively and repeatedly across a range of spatial scales using hyperspectral remote sensing. Progress in deriving predictive relationships between various characteristics and transforms of hyperspectral reflectance data are evaluated and the roles of leaf and canopy radiative transfer models are reviewed. Requirements are identified for more extensive intercomparisons of different approaches and for further work on the strategies for interpreting canopy scale data. The paper examines the prospects for extending research to the wider range of pigments in addition to chlorophyll, testing emerging methods of hyperspectral analysis and exploring the fusion of hyperspectral and LIDAR remote sensing. In spite of these opportunities for further development and the refinement of techniques, current evidence of an expanding range of applications in the ecophysiological, environmental, agricultural, and forestry sciences highlights the growing value of hyperspectral remote sensing of plant pigments. ER - TY - CONF ID - dorigo2007 AU - Dorigo, Wouter AU - Gerighausen, Heike TI - Automatic retrieval of crop characteristics: an example for hyperspectral AHS data from the AgriSAR campaign T2 - Proc. on AGRISAR and EAGLE Campaigns Final Workshop CY - Noordwijk, The Netherlands PY - 2007 DA - 2007-10-15 - 2007-10-16 KW - hyperspectral, AHS, imaging spectroscopy, radiative transfer model inversion, CRASh, PROSPECT, SAILh, LAI, chlorophyll, winter wheat, winter barley, winter rape, maize, sugar beet ER - TY - CONF ID - gandia2004 AU - Gandia, S. AU - Fernández, G. AU - García, J. C. AU - & Moreno, J. TI - Retrieval of vegetation biophysical variables from CHRIS/PROBA data in the SPARC campaing T2 - Proceedings of the 2nd CHRISProba Workshop ESAESRIN Frascati Italy 2830 PY - 2004 AB - In the context of the SPARC campaign, a total of 10 different view angle images are available from CHRIS/PROBA data, all of them acquired in Mode 1 (62 spectral bands). These data make possible to test some of the algorithms developed to extract vegetation biophysical variables from high-spectral resolution data with multiangular capabilities, in the context of the SPECTRA mission. Validation of retrievals with the large dataset of ground measurements that is available in SPARC represents a unique opportunity to exploit the innovative CHRIS/PROBA data. Variability in ground measurements was evaluated by statistical techniques, according to the sampling used in the data collection. Two different approaches have been followed in the retrieval of vegetation biophysical variables. First, a large number of spectral indices have been tested with the available spectral information. The second method used is based on model inversion techniques. A combination of adapted versions of PROSPECT 1, and SAIL 2, models have been tested in forward mode, by using all available ground measurements to reproduce the top-of-canopy reflectance, and then compare these forward simulations with atmospherically corrected CHRIS data. ER - TY - JOUR ID - richter2009 AU - Richter, K. AU - Atzberger, C. AU - Vuolo, F. AU - Weihs, P. AU - D’Urso, G. TI - Experimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize UR - http://dx.doi.org/10.5589/m09-010 DO - 10.5589/m09-010 T2 - Canadian Journal of Remote Sensing PY - 2009 DA - 2009/06/01 VL - 35 IS - 3 SP - 230-247 ER - TY - ELEC ID - idb AU - Henrich, V. AU - Krauss, G. AU - Götze, C. AU - Sandow, C. TI - The IndexDatabase UR - https://www.indexdatabase.de/ CY - Bonn PY - 2011 DA - 2011 ER -