EnMap is a hyperspectral Earth observation satellite that is built in Germany. It is planned to start in 2021. In the EnMAP Science Advisory Group (EnSAG), we developed algorithms for using hyperspectral satellite data for forestry applications.

M.S. Watt, H. Buddenbaum, E.M.C. Leonardo, H.J. Estarija, H.E. Bown, M. Gomez-Gallego, R.J.L. Hartley, G.D. Pearse, P. Massam, L. Wright & P.J. Zarco-Tejada (2020): Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery.Remote Sensing of Environment, 248, 112003. DOI

J. Hill, H. Buddenbaum & P.A. Townsend (2019):  Imaging Spectroscopy of Forest Ecosystems: Perspectives for the Use of Space-borne Hyperspectral Earth Observation Systems. Surveys in Geophysics, 40 (3), 631-656. 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

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

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

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