Author of the publication

Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”

, , , , , , , , , , , , and . (9-13 may 2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”, , , , , , , , , and 3 other author(s). (9-13 05 2016)Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes., , , , , , and . Remote. Sens., 12 (11): 1788 (2020)Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites., , , , and . Remote. Sens., 14 (10): 2295 (2022)Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (6): 3172-3182 (2015)The Landsat soil composite mapping processor (SCMAP): AN OPUS product., , , , , and . IGARSS, page 4497-4500. IEEE, (2017)Evaluating Soil Reflectance Composites generated by SCMaP using different Sentinel-2 reflectance data inputs., , , , and . IGARSS, page 495-498. IEEE, (2021)Overview of terrestrial imaging spectroscopy missions., , and . IGARSS, page 3502-3505. IEEE, (2013)The ring-barking experiment: Analysis of forest vitality using multi-temporal hyperspectral data, , , , , , , , , and . (9.-13. 05 2016)Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling, , , , , and . Remote Sensing, 7 (9): 11776 (2015)Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (11): 6518-6531 (2022)