Search Results - "USTIN, S.L"

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  1. 1

    Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response by Casas, A., Riaño, D., Ustin, S.L., Dennison, P., Salas, J.

    Published in Remote sensing of environment (01-05-2014)
    “…Vegetation biochemical and biophysical parameters related to water are pivotal to understanding the water cycle and its interactions with carbon and energy…”
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  2. 2

    Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing by Zomer, R.J., Trabucco, A., Ustin, S.L.

    Published in Journal of environmental management (01-05-2009)
    “…Recent advances in remote sensing provide opportunities to map plant species and vegetation within wetlands at management relevant scales and resolutions…”
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  3. 3

    Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level by Riano, D., Vaughan, P., Chuvieco, E., Zarco-Tejada, P.J., Ustin, S.L.

    “…Fire danger models identify fuel moisture content (FMC) of live vegetation as a critical variable, since it affects fire ignition and propagation. FMC can be…”
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  4. 4

    Evaluation of the potential of Hyperion for fire danger assessment by comparison to the Airborne Visible/Infrared Imaging Spectrometer by Roberts, D.A., Dennison, P.E., Gardner, M.E., Hetzel, Y., Ustin, S.L., Lee, C.T.

    “…Parameters derived from remote sensing that can be used to assess fire danger include surface reflectance, live and dead biomass, canopy water content, species…”
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  5. 5

    Basin-scale and travertine dam-scale controls on fluvial travertine, Jiuzhaigou, southwestern China by Florsheim, J.L., Ustin, S.L., Tang, Y., Di, B., Huang, C., Qiao, X., Peng, H., Zhang, M., Cai, Y.

    Published in Geomorphology (Amsterdam, Netherlands) (01-01-2013)
    “…Travertine deposition in fluvial systems builds dams and other forms that create diversity in geomorphic processes, morphology, and associated wetland…”
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  6. 6

    Retrieval of Fresh Leaf Fuel Moisture Content Using Genetic Algorithm Partial Least Squares (GA-PLS) Modeling by Lin Li, Ustin, S.L., Riano, D.

    Published in IEEE geoscience and remote sensing letters (01-04-2007)
    “…Fuel moisture content (FMC) is an important parameter in forest fire modeling. We investigated the performance of genetic algorithms with partial least squares…”
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  7. 7

    Estimating leaf biochemistry using the PROSPECT leaf optical properties model by Jacquemoud, S., Ustin, S.L., Verdebout, J., Schmuck, G., Andreoli, G., Hosgood, B.

    Published in Remote sensing of environment (01-06-1996)
    “…The biophysical, biochemical, and optical properties of 63 fresh leaves and 58 dry leaves were measured to investigate the potential of remote sensing to…”
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  8. 8

    Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data by Grossman, Y.L., Ustin, S.L., Jacquemoud, S., Sanderson, E.W., Schmuck, G., Verdebout, J.

    Published in Remote sensing of environment (01-06-1996)
    “…This study examined the use of stepwise multiple linear regression to quantify leaf carbon, nitrogen, lignin, cellulose, dry weight, and water compositions…”
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  9. 9

    Detection of interannual vegetation responses to climatic variability using AVIRIS data in a coastal savanna in California by Garcia, M., Ustin, S.L.

    “…Ecosystem responses to interannual weather variability are large and superimposed over any long-term directional climatic responses making it difficult to…”
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  10. 10

    Intercomparison of AVHRR PAL and LTDR Version 2 Long-Term Data Sets for Africa From 1982 to 2000 and Its Impact on Mapping Burned Area by Moreno-Ruiz, J.A., Riano, D., Garcia-Lazaro, J.R., Ustin, S.L.

    Published in IEEE geoscience and remote sensing letters (01-10-2009)
    “…The long-term data record (LTDR) project funded by the National Aeronautics and Space Administration has created a global daily data set at 0.05deg spatial…”
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  11. 11

    Classification of contamination in salt marsh plants using hyperspectral reflectance by Wilson, M.D., Ustin, S.L., Rocke, D.M.

    “…In this paper, we compare the classification effectiveness of two relatively new techniques on data consisting of leaf-level reflectance from five species of…”
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  12. 12

    Retrieval of foliar information about plant pigment systems from high resolution spectroscopy by Ustin, Susan L., Gitelson, A.A., Jacquemoud, Stéphane, Schaepman, Michael, Asner, Gregory P., Gamon, John A., Zarco-Tejada, Pablo

    Published in Remote sensing of environment (01-09-2009)
    “…Life on Earth depends on photosynthesis. Photosynthetic systems evolved early in Earth history and have been stable for 2.5 billion years, providing prima…”
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  13. 13

    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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  14. 14

    Inundation discriminated using sun glint by Vanderbilt, V.C., Perry, G.L., Livingston, G.P., Ustin, S.L., Diax Barrios, M.C., Breon, F.-M., Leroy, M.M., Balois, J.-Y., Morrissey, L.A., Shewchuk, S.R., Stearn, J.A., Zedler, S.E., Syder, J.L., Bouffies-Cloche, S., Herman, M.

    “…Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote-sensing technique for identifying inundated…”
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  15. 15
  16. 16

    Using Imaging Spectroscopy to Study Ecosystem Processes and Properties by USTIN, SUSAN L, ROBERTS, DAR A, GAMON, JOHN A, ASNER, GREGORY P, GREEN, ROBERT O

    Published in Bioscience (01-06-2004)
    “…Remote sensing data provide essential input for today's climate and ecosystem models. It is generally agreed that many model processes are not accurately…”
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  17. 17

    Water content estimation in vegetation with MODIS reflectance data and model inversion methods by Zarco-Tejada, P.J, Rueda, C.A, Ustin, S.L

    Published in Remote sensing of environment (25-04-2003)
    “…Statistical and radiative-transfer physically based studies have previously demonstrated the relationship between leaf water content and leaf-level reflectance…”
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  18. 18

    PROSPECT + SAIL models: A review of use for vegetation characterization by Jacquemoud, Stéphane, Verhoef, Wout, Baret, Frédéric, Bacour, Cédric, Zarco-Tejada, Pablo J., Asner, Gregory P., François, Christophe, Ustin, Susan L.

    Published in Remote sensing of environment (2009)
    “…The combined PROSPECT leaf optical properties model and SAIL canopy bidirectional reflectance model, also referred to as PROSAIL, has been used for about…”
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  19. 19

    Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale by Dobrowski, S.Z., Pushnik, J.C., Zarco-Tejada, P.J., Ustin, S.L.

    Published in Remote sensing of environment (15-08-2005)
    “…Non-invasive remote sensing techniques for monitoring plant stress and photosynthetic status have received much attention. The majority of published vegetation…”
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  20. 20

    Use of lidar to study changes associated with Spartina invasion in San Francisco Bay marshes by Rosso, P.H., Ustin, S.L., Hastings, A.

    Published in Remote sensing of environment (15-02-2006)
    “…Extensive alteration of the tidal salt marshes of San Francisco Bay has created an urgent need to preserve the few remaining areas of relatively pristine tidal…”
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