Search Results - "Kneubühler, M."

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  1. 1

    Progress in field spectroscopy by Milton, Edward J., Schaepman, Michael E., Anderson, Karen, Kneubühler, Mathias, Fox, Nigel

    Published in Remote sensing of environment (01-09-2009)
    “…This paper reviews developments in the science of field spectroscopy, focusing on the last twenty years in particular. During this period field spectroscopy…”
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    Journal Article
  2. 2

    Hyperspectral remote sensing for estimating aboveground biomass and for exploring species richness patterns of grassland habitats by Psomas, A, Kneubühler, M, Huber, S, Itten, K, Zimmermann, N. E

    Published in International journal of remote sensing (01-01-2011)
    “…Dry grassland sites are amongst the most species-rich habitats of central Europe and it is necessary to design effective management schemes for monitoring of…”
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    Journal Article
  3. 3

    The spectral database SPECCHIO for improved long-term usability and data sharing by Hueni, A., Nieke, J., Schopfer, J., Kneubühler, M., Itten, K.I.

    Published in Computers & geosciences (01-03-2009)
    “…The organised storage of spectral data described by metadata is important for long-term use and data sharing with other scientists. Metadata describing the…”
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    Journal Article
  4. 4

    Remotely Sensing Variation in Ecological Strategies and Plant Traits of Willows in Perialpine Floodplains by Milani, G., Kneubühler, M., Tonolla, D., Doering, M., Schaepman, M. E.

    “…Natural floodplains are characterized by a complex habitat mosaic. However, damming, water storage, and hydropower production affect many floodplains by…”
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    Journal Article
  5. 5

    Estimating foliar biochemistry from hyperspectral data in mixed forest canopy by Huber, Silvia, Kneubühler, Mathias, Psomas, Achilleas, Itten, Klaus, Zimmermann, Niklaus E.

    Published in Forest ecology and management (30-07-2008)
    “…Estimating canopy biochemical composition in mixed forests at the level of tree species represents a critical tool for a better understanding and modeling of…”
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    Journal Article
  6. 6

    Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data by Verrelst, J., Schaepman, M.E., Koetz, B., Kneubühler, M.

    Published in Remote sensing of environment (15-05-2008)
    “…View angle effects present in spectral vegetation indices can either be regarded as an added source of uncertainty for variable retrieval or as a source of…”
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    Journal Article
  7. 7
  8. 8

    Toward a direct comparison of field and laboratory goniometer measurements by Dangel, S., Verstraete, M.M., Schopfer, J., Kneubuhler, M., Schaepman, M., Itten, K.I.

    “…Field and laboratory goniometers are widely used in the remote sensing community to assess spectrodirectional reflection properties of selected targets. Even…”
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    Journal Article
  9. 9

    Experimental Approach to Camouflaged Target Detection and Camouflage Evaluation by Gross, W., Queck, F., Schreiner, S., Mispelhorn, J., Kuester, J., Middelmann, W., Vogtli, M., Kneubuhler, M.

    “…This work discusses three individual camouflage experiments from a drone-based hyperspectral measurement campaign conducted in 2021. The experiments were…”
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    Conference Proceeding
  10. 10

    Hyperthun'22: A Multi-Sensor Multi-Temporal Camouflage Detection Campaign by Vogtli, M., Sierro, L., Kneubuhler, M., Schreiner, S., Gross, W., Queck, F., Kuester, J., Mispelhorn, J., Middelmann, W.

    “…HyperThun'22 was a multi-sensor and multi-temporal camouflage detection campaign with drone-carried hyper-spectral, thermal, and RGB instruments. In more than…”
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    Conference Proceeding
  11. 11

    Angular sensitivity of vegetation indices derived from CHRIS/PROBA data by Verrelst, J, Schaepman, M.E, Kötz, B, Kneubühler, M

    Published in Remote sensing of environment (2008)
    “…View angle effects present in spectral vegetation indices can either be regarded as an added source of uncertainty for variable retrieval or as a source of…”
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    Journal Article
  12. 12

    A Multi-Scale and Multi-Temporal Hyperspectral Target Detection Experiment - From Design to First Results by Vogtli, M., Schreiner, S., Bohler, J., Gross, W., Kuester, J., Mispelhorn, J., Hueni, A., Middelmann, W., Kneubuhler, M.

    “…Hyperspectral target detection experiments under nonideal conditions are scarce. An extensive multi-scale and multi-temporal field experiment was designed…”
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    Conference Proceeding
  13. 13
  14. 14

    Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization by Koetz, Benjamin, Sun, Guoqing, Morsdorf, Felix, Ranson, K.J., Kneubühler, Mathias, Itten, Klaus, Allgöwer, Britta

    Published in Remote sensing of environment (28-02-2007)
    “…A comprehensive canopy characterization of forests is derived from the combined remote sensing signal of imaging spectrometry and large footprint LIDAR. The…”
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    Journal Article
  15. 15

    Comparing Machine Learning and Classical Approaches for Detection of Camouflage Targets in Hyperspectral Data by Gross, W., Schreiner, S., Kuester, J., Michel, A., Middelmann, W., Vogtli, M., Sierro, L., Kneubuhler, M.

    “…This study compares two machine learning pixel classifiers with classical approaches for detecting camouflage targets in hyperspectral data. Recent…”
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    Conference Proceeding
  16. 16

    Inversion of Combined Radiative Transfer Models for Imaging Spectrometer and LIDAR Data by Koetz, B., Sun, G., Morsdorf, F., Ranson, K.J., Kneubuhler, M., Itten, K., Allgower, B.

    “…The spectral information domain provided by imaging spectrometers contains information about the biochemical composition of a vegetation canopy such as foliage…”
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    Conference Proceeding
  17. 17

    Evaluation of gross primary production (GPP) variability over several ecosystems in Switzerland using sun-induced chlorophyll fluorescence derived from APEX data by Damm, A., Kneubuhler, M., Schaepman, M. E., Rascher, U.

    “…Plant photosynthesis mediates about 60Gt of the carbon uptake by vegetated ecosystems and is considered to be a critical component of the terrestrial carbon…”
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    Conference Proceeding
  18. 18

    MERIS Chl-a Timeseries of Lake Constance 2003-2006 by Odermatt, D., Heege, T., Nieke, J., Kneubuhler, M., Itten, K.

    “…A physically based water constituent retrieval algorithm is used for the automatic processing of MERIS level 1B full resolution data. The algorithm requires…”
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    Conference Proceeding
  19. 19

    Calibration, parameterization and application of MERIS water constituent algorithms for perialpine lakes by Odermatt, D., Kiselev, V., Heege, T., Giardino, C., Bresciani, M., Kneubuhler, M., Nieke, J., Itten, K.

    “…The applicability of MERIS data for the retrieval of water constituent concentrations in oligo- to mesotrophic perialpine lakes is demonstrated by means of two…”
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    Conference Proceeding
  20. 20

    Combined field and laboratory goniometer system - FIGOS and LAGOS by Dangel, S., Kneubuhler, M., Kohler, R., Schaepman, M., Schopfer, J., Schaepman-Strub, G., Itten, K.

    “…Ground level measurements of surface directional reflectance properties can be performed either in the field or within a laboratory setup. The latter has the…”
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    Conference Proceeding