Pages: 1 – 11
DOI: 10.12760/02-2015-2-01
History
Submitted: 26 Apr 2015
Revised: 01 Oct 2015
Accepted: 10 Oct 2015
Published: 13 Oct 2015
Responsible editor: Rainer Reuter
Citation
Verrelst J, J P Rivera & J Moreno, 2015. ARTMO’s Global Sensitivity Analysis (GSA) toolbox to quantify driving variables of leaf and canopy radiative transfer models. EARSeL eProceedings, 14(S2): 1-11
Pages: 12 – 26
DOI: 10.12760/02-2015-2-02
History
Submitted: 13 Apr 2015
Revised: 05 Nov 2015
Accepted: 07 Nov 2015
Published: 24 Nov 2015
Responsible editor: Rainer Reuter
Citation
Rousset-Rouviere L, C Coudrain, S Fabre, Y Ferrec, L Poutier, T Løke, A Fridman, S Blaaberg, I Baarstard, T Skauli & I Sisakoun, 2015. SYSIPHE System: A state of the art airborne hyperspectral imaging system. Initial results from the first airborne campaign. EARSeL eProceedings, 14(S2): 12-26
Pages: 27 – 39
DOI: 10.12760/02-2015-2-03
History
Submitted: 28 Aug 2015
Revised: 19 Nov 2015
Accepted: 03 Nov 2015
Published: 07 Dec 2015
Responsible editor: Martin Schlerf
Citation
Middleton E M, Y-B Cheng, P E Campbell, K F Huemmrich, L A Corp, S Bernardes, Q Zhang, D R Landis, W P Kustas, C S T Daughtry, J G Alfieri & A L Russ, 2015. Multi-angle hyperspectral observations using fluorescence and PRI to detect plant stress and productivity in a cornfield. EARSeL eProceedings, 14(S2): 27-39
Pages: 40 – 48
DOI: 10.12760/02-2015-2-04
History
Submitted: 7 July 2015
Revised: 16 Nov 2015
Accepted: 19 Nov 2015
Published: 18 Jan 2016
Responsible editor: Martin Schlerf
Citation
Schläpfer D & R Richter, 2015. Recent developments in ATCOR for atmospheric compensation and radiometric processing of imaging spectroscopy data. EARSeL eProceedings, 14(S2): 40-48
Pages: 49 – 70
DOI: 10.12760/02-2015-2-05
History
Submitted: 6 Aug 2015
Revised: 17 Dec 2015
Accepted: 7 Jan 2016
Published: 28 Jan 2016
Responsible editor: Henning Buddenbaum
Citation
Sommer C, S Holzwarth, U Heiden, M Heurich, J Müller & W Mauser, 2016. Feature-based tree species classification using hyperspectral and Lidar data in the Bavarian Forest National Park. EARSeL eProceedings, 14(S2): 49-70
Pages: 71 – 90
DOI: 10.12760/02-2015-2-06
History
Submitted: 10 Aug 2015
Revised: 8 Apr 2016
Accepted: 30 May 2016
Published: 14 June 2016
Responsible editor: Miriam Machwitz
Citation
Gerighausen H, H Lilienthal, T Jarmer & B Siegmann, 2016. Evaluation of leaf area index and dry matter predictions for crop growth modelling and yield estimation based on field reflectance measurements. EARSeL eProceedings, 14(S2): 71-90