2. Dips in reflectance (Fig. Spectral Reflectance of Earth Surface Features Vegetation. reflectance (%) SPOT HRG Panchromatic Pan: IKONOS, Quickbird, GeoEye, WorldView Meteosat NOAA AVHRR Landsat TM 40 20 0 0.8 60 0.4 1.2 1.6 2.0 2.4 Wageningen UR 2010 SPOT HRG multispectral Multispectral: IKONOS, Quickbird, GeoEye, WorldView Spectral band positions TIRS TIRS TIRS Typical spectral reflectance curves for vegetation, soil and water. This method assumes that different land cover objects has different spectral reflectance pattern. See Draw Conclusions on page 19, and answer some of the questions pertaining to Landsat TM data. 1.8) that can be seen at wavelengths of 0.65 .µm, 1.4 µ m and 1.9 µm are attributable to absorption of water by leaves. These curves are defined by the varying percent of reflectance. The valleys in the visible portion of the spectrum are indicative of pigments in plant leaves. 21. Spectral Reflectance Curves / Signatures •Spectral reflectance curves are graphical representations of the spectral response of a certain type of features as a function of wavelength. Graphical analysis of spectral reflectance curve The nature of GASC algorithm is to find out spectral invariant that will help to easily classify land cover objects according to their spectral reflectance characteristics. Spectral Response Curve. The spectral reflectance curves for vigorous vegetation manifests the "Peak-and-valley" configuration. When you are finished, close the display group, ENVI Plot Window, and Spectral Profile. Compare the apparent reflectance spectra to the library spectra, by dragging and dropping spectra from the ENVI Plot Window into the Spectral Profile. (2019). 20. 14 Spectral Response Curve Spectral responses from ground tragets are recorded in separate spectral bands by sensors. Spectral reflectance curves graph the reflectance (in percent) of objects as a function of wavelengths. Each feature has its own unique spectral reflectance curve. The spectral reflectance curves, or spectral signatures, of different types of ground targets provide the knowledge base for information extraction. The ECOSTRESS spectral library includes data from three other spectral libraries: Johns Hopkins University (JHU) Jet Propulsion Laboratory (JPL) United States Geological Survey (USGS - Reston) If you use data from the ECOSTRESS spectral library in a publication we ask that you reference the following articles: Meerdink, S. K., Hook, S. J., Roberts, D. A., & Abbott, E. A. 1. In general, healthy vegetation is a very good absorber of electromagnetic energy in the visible region.

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