EnMAP Science Advisory Group


EnMAP (Environmental Mapping and Analysis Program) is a planned German hyperspectral earth observation satellite mission providing high quality hyperspectral image data on a timely and frequent basis. The sensor will record images in 30 m spatial resolution in more than 200 spectral channel in the wavelength region 420 to 2450 nm. The main objective is to investigate a wide range of ecosystem parameters encompassing agriculture, forestry, soil and geological environments, coastal zones and inland waters. This will significantly increase our understanding of coupled biospheric and geospheric processes and thus, enable the management and ensure the sustainability of our vital resources. The envisaged launch of the EnMAP satellite is 2020.


The EnMAP Science Advisory Group was established to assist universities and research institutes in preparing for the use of EnMAP data. Besides the Principal Investigator (who is responsible for soil science and geology research) there are groups for water and ice applications, agriculture, urban areas, natural and transitional ecosystems and for forest applications. The EnSAG is funded by the German federal ministry for Economic Affairs and Energy.

The EnSAG group at the University of Trier (Prof. Dr. Joachim Hill, Dr. Henning Buddenbaum, Sandra Dotzler, Barbara Paschmionkal) ist responsible for the development of algorithms for using imaging spectroscopy in forestry applications.

"Hyperspectral Cube" of a forest scene with three exemplary spectra

Selected publications on hyperspectral Forest Remote Sensing

H. Buddenbaum & J. Hill (2015): PROSPECT Inversions of Leaf Laboratory Imaging Spectroscopy - a Comparison of Spectral Range and Inversion Technique Influences. Photogrammetrie - Fernerkundung - Geoinformation 2015 (3):231-40. DOI

H. Buddenbaum, G. Rock, J. Hill & W. Werner (2015): Measuring Stress Reactions of Beech Seedlings with PRI, Fluorescence, Temperatures and Emissivity from VNIR and Thermal Field Imaging Spectroscopy. European Journal of Remote Sensing, 48: 263-282. DOI

H. Buddenbaum, O. Stern, B. Paschmionka, E. Hass, T. Gattung, J. Stoffels, J. Hill & W. Werner (2015): Using VNIR and SWIR Field Imaging Spectroscopy for Drought Stress Monitoring of Beech Seedlings. International Journal of Remote Sensing, 36 (18): 4590-4605. DOI

S. Dotzler, J. Hill, H. Buddenbaum & J. Stoffels (2015): The potential of EnMAP and Sentinel-2 data for detecting drought stress phenomena in deciduous forest communities. Remote Sensing, 7 (10): 14227-14258. DOI

L. Guanter, H. Kaufmann, K. Segl, S. Foerster, C. Rogass, S. Chabrillat, T. Kuester, A. Hollstein, G. Rossner, C. Chlebek, C. Straif, S. Fischer, S. Schrader, T. Storch, U. Heiden, A. Mueller, M. Bachmann, H. Mühle, R. Müller, M. Habermeyer, A. Ohndorf, J. Hill, H. Buddenbaum, P. Hostert, S. van der Linden, P. Leitão, A. Rabe, R. Doerffer, H. Krasemann, H. Xi, W. Mauser, T. Hank, M. Locherer, M. Rast, K. Staenz & B. Sang (2015). The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation. Remote Sensing, 7 (7): 8830-8857. DOI

S. Nink, J. Hill, H. Buddenbaum, J. Stoffels, T. Sachtleber & J. Langshausen (2015): Assessing the suitability of future multi- and hyperspectral satellite systems for mapping the spatial distribution of Norway spruce timber volume. Remote Sensing, 7 (9): 12009-12040. DOI

H. Buddenbaum, S. Seeling & J. Hill (2013): Fusion of full waveform LiDAR and imaging spectroscopy remote sensing data for the characterization of forest stands. International Journal of Remote Sensing, 34 (13): 4511-4524. DOI

P. Pueschel (2013): The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans. ISPRS Journal of Photogrammetry and Remote Sensing, 78: 58-68. DOI

P. Pueschel, G. Newnham, G. Rock, T. Udelhoven, W. Werner & J. Hill (2013): The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans. ISPRS Journal of Photogrammetry and Remote Sensing, 77: 44-56. DOI

H. Buddenbaum, O. Stern, M. Stellmes, J. Stoffels, P. Pueschel, J. Hill & W. Werner (2012): Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress. Remote Sensing, 4: 3721-3740. doi:10.3390/rs4123721

P. Pueschel, H. Buddenbaum & J. Hill (2012): An efficient approach to standardizing the processing of hemispherical images for the estimation of forest structural attributes. Agricultural and Forest Meteorology, 160: 1-13.

H. Buddenbaum, P. Pueschel, M. Stellmes, W. Werner & J. Hill (2011): Measuring water and Chlorophyll content on the leaf and canopy scale. EARSeL eProceedings, 10 (1): 66-72.

P. Pueschel, H. Buddenbaum & J. Hill (2011): Estimation of Leaf Area Index from airborne Laser scanning and imaging spectroscopy and comparison with ground-based methods. EARSeL 7th SIG-Imaging Spectroscopy Workshop, April 11-13, Edinburgh, UK.

P. Pueschel, H. Buddenbaum & J. Hill (2011): Estimation of Leaf Area Index from ground-based methods - Standardized processing of digital hemispherical images. EARSeL 7th SIG-Imaging Spectroscopy Workshop, April 11-13, Edinburgh, UK.

M. Schlerf, C. Atzberger, J. Hill, H. Buddenbaum, W. Werner & G. Schüler (2010): Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy. International Journal of Applied Earth Observation and Geoinformation (JAG), 12 (1): 17-26. doi:10.1016/j.jag.2009.08.006

M. Förster, D. Spengler, H. Buddenbaum, J. Hill & B. Kleinschmit (2010): A review of the combination of spectral and geometric modelling for the application in forest remote sensing - Ein Überblick über die Kombination spektraler und geometrischer Modellierung zur Anwendung in der forstlichen Fernerkundung. Photogrammetrie - Fernerkundung - Geoinformation, 2010 (4): 253–265. doi:10.1127/1432-8364/2010/0053

H. Kaufmann, K. Segl, S. Itzerott, H. Bach, A. Wagner, J. Hill, B. Heim, K. Oppermann, W. Heldens, E. Stein, A. Müller, S. van der Linden, P. J. Leitão, A. Rabe & P. Hostert (2010):Hyperspectral algorithms: report in the frame of EnMAP preparation activities. Scientific Technical Report STR10/08. Potsdam. doi:10.2312/GFZ.b103-10089http://ebooks.gfz-potsdam.de/pubman/item/escidoc:18089:2

H. Buddenbaum & J. Hill (2010): Fusion of full waveform Lidar and hyperspectral remote sensing data for the characterization of forest stands. Silvilaser 2010, September 14–17, 2010, Freiburg, Germany.

H. Buddenbaum & J. Hill (2010): Retrieval of LAI from Airborne Hyperspectral and Airborne Laser Scanner Data using a Canopy Reflectance Model. ESA Hyperspectral Workshop 2010, 17–19 March 2010, Frascati, Italy.

H. Buddenbaum & J. Hill (2009): Hyperspectral Forest Remote Sensing: From operational Forest Management to Process Dynamics of Forest Ecosystems. Workshop "Waiting for EnMap - preparing methods for detailed land cover analysis." 15. Oktober 2009, Potsdam.

M. Schlerf, W. Verhoef, H. Buddenbaum, J. Hill, C. Atzberger & A. Skidmore (2007): Comparing three canopy reflectance models with hyperspectral multi-angular satellite data. ISPMSRS'07, Davos, Switzerland, March 12–14, 2007.

H. Buddenbaum, M. Schlerf & J. Hill (2005): Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods. International Journal of Remote Sensing, 26 (24): 5453–5465. doi:10.1080/01431160500285076

M. Schlerf, C. Atzberger & J. Hill (2005): Remote sensing of forest biophysical variables using HyMap imaging spectrometer data. Remote Sensing of Environment, 95: 177-194. doi:10.1016/j.rse.2004.12.016

M. Schlerf, C. Atzberger, M. Vohland, H. Buddenbaum, S. Seeling & J. Hill (2004): Derivation of forest leaf area index from multi- and hyperspectral remote sensing data. EARSeL eProceedings, 3 (3): 405-413.