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  • 1
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    Vegetation classification based on advanced very high resolution radiometer (AVHRR) satellite imagery (1983)
    Elsevier
    Details
    Publication Date: 1983-03-01
    Print ISSN: 0034-4257
    Electronic ISSN: 1879-0704
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Elsevier
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    PAPER CURRENT
  • 2
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    A gradient model of vegetation and climate utilizing NOAA satellite imagery. Phase 1: Texas transect (1981)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: A new experimental climatological model/variable termed the sponge, a measure of moisture availability based on daily temperature maxima and minima and precipitation, is tested for potential biogeographic, ecological, and agro-climatological applications. Results, depicted in tabular and graphic from, suggest that, as a generalized climatic index, sponge's simplicity and sensitivity make particularly appropriate for trans-regional biogeographic studies (e.g., large-area and global vegetation monitoring). The feasibility of utilizing NOAA/AVHRR data for vegetation classification was investigated and a vegetation gradient model that utilizes sponge, and AVHRR pixel data (channels 1 and 2) were obtained for 12 locations. The normalized difference values for the AVHRR data when plotted against vegetation characteristics (biomass, net productivity, leaf area) and sponge values suggest that a multivariate gradient model incorporating AVHRR and sponge data may indeed be useful in global vegetation stratification and monitoring.
    Keywords: METEOROLOGY AND CLIMATOLOGY
    Type: Houston Univ. The 1981 NASA ASEE Summer Fac. Fellowship Program, Vol. 1; 63 p
    Format: text
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    NASA TECHNICAL REPORTS
  • 3
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    Vegetation monitoring and classification using NOAA/AVHRR satellite data (1983)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: A vegetation gradient model, based on a new surface hydrologic index and NOAA/AVHRR meteorological satellite data, has been analyzed along a 1300 km east-west transect across the state of Texas. The model was developed to test the potential usefulness of such low-resolution data for vegetation stratification and monitoring. Normalized Difference values (ratio of AVHRR bands 1 and 2, considered to be an index of greenness) were determined and evaluated against climatological and vegetation characteristics at 50 sample locations (regular intervals of 0.25 deg longitude) along the transect on five days in 1980. Statistical treatment of the data indicate that a multivariate model incorporating satellite-measured spectral greenness values and a surface hydrologic factor offer promise as a new technique for regional-scale vegetation stratification and monitoring.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Format: text
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    NASA TECHNICAL REPORTS
  • 4
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    Vegetation classification based on Advanced Very High Resolution Radiometer /AVHRR/ satellite imagery (1983)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: Data from the NOAA-6 spacecraft Advanced Very High Resolution Radiometer (AVHRR) were tested for effectiveness for vegetation classification. Vegetation, climatological, and meteorological data were gathered for three days over 12 locations, and the normalized differences between the AVHRR bands 1 and 2 were determined. A vegetative greenness index was compared with a hydrologic factor and vegetation characteristics as measured by ground truth. A multivariate vegetation gradient model was formulated, incorporating AVHRR and climatological data. The hydrologic factor was calculated in terms of the precipitation, evaporation, maximum and minimum temperatures, and the hydrologic capacity. The observations were taken over Texas, which has a wide range of climates. A high correlation was found in the vegetation-HF index. The AVHRR data are concluded to be an effective tool for analysis of vegetation/climate relationships.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Remote Sensing of Environment; 13; Mar. 198
    Format: text
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    NASA TECHNICAL REPORTS
  • 5
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    A gradient model of vegetation and climate utilizing NOAA satellite imagery. Phase 1: Texas transect (1981)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A climatological model/variable termed the sponge (a measure of moisture availability based on daily temperature maxima and minima, and precipitation) was tested for potential biogeograhic, ecological, and agro-climatological applications. Results, depicted in tabular and graphic form, suggest that, as generalized climatic index, sponge is particularly appropriate for large-area and global vegetation monitoring. The feasibility of utilizing NOAA/AVHRR data for vegetation classification was investigated and a vegetation gradient model that utilizes sponge and AVHRR data was initiated. Along an east-west Texas gradient, vegetation, sponge, and AVHRR pixel data (channels 1 and 2) were obtained for 12 locations. The normalized difference values for the AVHRR data when plotted against vegetation characteristics (biomass, net productivity, leaf area) and sponge values along the Texas gradient suggest that a multivariate gradient model incorporating AVHRR and sponge data may indeed be useful in global vegetation stratification and monitoring.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10107 , NASA-CR-167454 , NAS 1.26:167454 , FC-J1-04176 , JSC-17435
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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