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  • 1
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    A look at the commonly used LANDSAT vegetation indices (1981)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: The origins, development, and logic of the indices are discussed. The relationships of the indices to ground-based measurements of vegetation are highlighted. An effort was made to preserve the order in which the various indices appeared in the literature in order to historically trace their underlying concepts.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10123 , NASA-CR-167474 , NAS 1.26:167474 , EW-L1-04134 , JSC-17413 , LEMSCO-16844
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Area estimation of environmental phenomena from NOAA-n satellite data (1982)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A technique for documenting changes in size of NOAA-n pixels in order to calibrate the data for use in performing area calculations is described. Based on Earth-satellite geometry, a function for calculating the effective pixel size, measured in terms of ground area, on any given pixel was derived. The equation is an application of the law of sines plus an arclength formula. Effective pixel dimensions for NOAA 6 and 7 satellites for all pixels between nadir and the extreme view angles are presented. The NOAA 6 data were used to estimate the areas of several lakes, with an accuracy within 5%. Sources of error are discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10275 , NASA-CR-167569 , EW-L1-04190 , JSC-17437 , NAS 1.26:167569 , LEMSCO-17312
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    Light interception and leaf area estimates from measurements of grass canopy reflectance (1986)
    In:  Other Sources
    Details
    Publication Date: 2019-07-12
    Description: Grassland is a major component of the earth's available land. The vast area and remoteness of this ecosystem makes it difficult to assess its condition and monitor productivity by traditional methods. Remote sensing potentially offers a rapid nondestructive approach for monitoring such ecosystems. A study was carried out in a tallgrass prairie site near Manhattan, Kansas, during the 1983 and 1984 seasons to investigate the feasibility of estimating light interception and green leaf area index (LAI) from measurements of canopy multispectral reflectance. Greenness (Gn) index was found to be strongly correlated with intercepted photosynthetically active radiation (PAR). Two methods, a direct regression (RGR) and an indirect approach (IND), were used to estimate LAI from Gn index. The LAI values estimated by RGR method were consistently lower than the measured ones; however, good agreement was obtained between the LAI values estimated by IND method and the measured LAI. This suggests that Gn transformation of canopy spectral reflectance is more closely related to the fraction of intercepted PAR by green foliage than the quantity of green LAI.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892); GE-24; 76-82
    Format: text
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    NASA TECHNICAL REPORTS
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