Search Results - "Schaepman, M"

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  1. 1

    The use of remote sensing in soil and terrain mapping — A review by Mulder, V.L., de Bruin, S., Schaepman, M.E., Mayr, T.R.

    Published in Geoderma (15-04-2011)
    “…This article reviews the use of optical and microwave remote sensing data for soil and terrain mapping with emphasis on applications at regional and coarser…”
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    Journal Article
  2. 2

    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
  3. 3

    Proxy global assessment of land degradation by Bai, Z.G, Dent, D.L, Olsson, L, Schaepman, M.E

    Published in Soil use and management (01-09-2008)
    “…Land degradation is always with us but its causes, extent and severity are contested. We define land degradation as a long-term decline in ecosystem function…”
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    Journal Article
  4. 4

    Assessing Vegetation Function with Imaging Spectroscopy by Gamon, J. A., Somers, B., Malenovský, Z., Middleton, E. M., Rascher, U., Schaepman, M. E.

    Published in Surveys in geophysics (01-05-2019)
    “…Healthy vegetation function supports diverse biological communities and ecosystem processes, and provides crops, forest products, forage, and countless other…”
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    Journal Article
  5. 5

    Reflectance quantities in optical remote sensing—definitions and case studies by Schaepman-Strub, G., Schaepman, M.E., Painter, T.H., Dangel, S., Martonchik, J.V.

    Published in Remote sensing of environment (01-07-2006)
    “…The remote sensing community puts major efforts into calibration and validation of sensors, measurements, and derived products to quantify and reduce…”
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  6. 6

    Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics by Zurita-Milla, R., Kaiser, G., Clevers, J.G.P.W., Schneider, W., Schaepman, M.E.

    Published in Remote sensing of environment (01-09-2009)
    “…Monitoring vegetation dynamics is fundamental for improving Earth system models and for increasing our understanding of the terrestrial carbon cycle and the…”
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    Journal Article
  7. 7

    FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data by Damm, A., Guanter, L., Laurent, V.C.E., Schaepman, M.E., Schickling, A., Rascher, U.

    Published in Remote sensing of environment (05-05-2014)
    “…Sun-induced chlorophyll fluorescence (Fs) is the radiation flux emitted from chlorophyll molecules and can be used as a remote sensing (RS) observable to be…”
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    Journal Article
  8. 8

    Estimating canopy water content using hyperspectral remote sensing data by Clevers, J.G.P.W, Kooistra, L, Schaepman, M.E

    Published in ITC journal (01-04-2010)
    “…Hyperspectral remote sensing has demonstrated great potential for accurate retrieval of canopy water content (CWC). This CWC is defined by the product of the…”
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  9. 9

    Close-range laser scanning in forests: towards physically based semantics across scales by Morsdorf, F., Kükenbrink, D., Schneider, F. D., Abegg, M., Schaepman, M. E.

    Published in Interface focus (06-04-2018)
    “…Laser scanning with its unique measurement concept holds the potential to revolutionize the way we assess and quantify three-dimensional vegetation structure…”
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    Journal Article
  10. 10

    Desertification in the Sahel: Towards better accounting for ecosystem dynamics in the interpretation of remote sensing images by Hein, L., de Ridder, N., Hiernaux, P., Leemans, R., de Wit, A., Schaepman, M.

    Published in Journal of arid environments (01-11-2011)
    “…To date, the interpretation of remote sensing images has not revealed wide-spread degradation of the vegetation in the Sahel. However, the interpretation of…”
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  11. 11

    Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches by Damm, A., Guanter, L., Paul-Limoges, E., van der Tol, C., Hueni, A., Buchmann, N., Eugster, W., Ammann, C., Schaepman, M.E.

    Published in Remote sensing of environment (01-09-2015)
    “…Sun-induced chlorophyll fluorescence (SIF) is a radiation flux emitted from chlorophyll molecules and is considered an indicator of the actual functional state…”
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    Journal Article
  12. 12

    Spectral reflectance based indices for soil organic carbon quantification by Bartholomeus, H.M., Schaepman, M.E., Kooistra, L., Stevens, A., Hoogmoed, W.B., Spaargaren, O.S.P.

    Published in Geoderma (15-05-2008)
    “…We investigated 40 samples from nine different soil types, originating from several climatic zones and a large variety in SOC content (0.06–45.1%). Spectral…”
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    Journal Article
  13. 13

    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
  14. 14

    Characterizing regional soil mineral composition using spectroscopy and geostatistics by Mulder, V.L., de Bruin, S., Weyermann, J., Kokaly, R.F., Schaepman, M.E.

    Published in Remote sensing of environment (01-12-2013)
    “…This work aims at improving the mapping of major mineral variability at regional scale using scale-dependent spatial variability observed in remote sensing…”
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  15. 15

    Impact of varying irradiance on vegetation indices and chlorophyll fluorescence derived from spectroscopy data by Damm, A., Guanter, L., Verhoef, W., Schläpfer, D., Garbari, S., Schaepman, M.E.

    Published in Remote sensing of environment (01-01-2015)
    “…Imaging spectroscopy (IS) provides an efficient tool to assess vegetation status and functioning at ecologically relevant scales. Reliable extraction of…”
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    Journal Article
  16. 16

    Using spectral information from the NIR water absorption features for the retrieval of canopy water content by Clevers, J.G.P.W, Kooistra, L, Schaepman, M.E

    Published in ITC journal (01-09-2008)
    “…Canopy water content (CWC) is important for mapping and monitoring the condition of the terrestrial ecosystem. Spectral information related to the water…”
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    Journal Article
  17. 17

    Earth system science related imaging spectroscopy—An assessment by Schaepman, Michael E., Ustin, Susan L., Plaza, Antonio J., Painter, Thomas H., Verrelst, Jochem, Liang, Shunlin

    Published in Remote sensing of environment (01-09-2009)
    “…The science of spectroscopy has existed for more than three centuries, and imaging spectroscopy for the Earth system for three decades. We first discuss the…”
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  18. 18

    Applicability of the PROSPECT model for Norway spruce needles by Malenovský, Z., Albrechtová, J., Lhotáková, Z., Zurita-Milla, R., Clevers, J. G. P. W., Schaepman, M. E., Cudlín, P.

    Published in International journal of remote sensing (01-12-2006)
    “…The potential applicability of the leaf radiative transfer model PROSPECT (version 3.01) was tested for Norway spruce (Picea abies (L.) Karst.) needles…”
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    Journal Article
  19. 19

    Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands by Homolová, L, Schaepman, M. E, Lamarque, P, Clevers, J. G. P. W, de Bello, F, Thuiller, W, Lavorel, S

    Published in Ecosphere (Washington, D.C) (01-08-2014)
    “…There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and remote sensing (RS) can provide valuable data to meet this…”
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  20. 20

    Data exchange between distributed spectral databases by Hueni, A., Malthus, T, Kneubuehler, M., Schaepman, M.

    Published in Computers & geosciences (01-07-2011)
    “…Spectral databases constitute one of the components of a complete observing system, storing in situ spectroscopic measurements plus associated metadata and…”
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