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  • 1
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    Interpreting forest and grassland biome productivity utilizing nested scales of image resolution and biogeographical analysis (1986)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: Several hardware, software, and data collection problems encountered were conquered. The Geographic Information System (GIS) data from other systems were converted to ERDAS format for incorporation with the image data. Statistical analysis of the relationship between spectral values and productivity is being pursued. Several project sites, including Jackson, Pope, Boulder, Smokies, and Huntington Forest are evolving as the most intensively studied areas, primarily due to availability of data and time. Progress with data acquisition and quality checking, more details on experimental sites, and brief summarizations of research results and future plans are discussed. Material on personnel, collaborators, facilities, site background, and meetings and publications of the investigators are included.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-179739 , NAS 1.26:179739 , PR-2
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Interpreting forest and grassland biome productivity utilizing nested scales of image resolution and biogeographical analysis (1986)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: Data acquisition, initial site characterization, image and geographic information methods available, and brief evaluations of first-year for NASA's Thematic Mapper (TM) working group are presented. The TM and other spectral data are examined in order to relate local, intensive ecosystem research findings to estimates of carbon cycling rates over wide geographic regions. The effort is to span environments ranging from dry to moist climates and from good to poor site quality using the TM capability, with and without the inclusion of geographic information system (GIS) data, and thus to interpret the local spatial pattern of factors conditioning biomass or productivity. Twenty-eight TM data sets were acquired, archived, and evaluated. The ERDAS image processing and GIS system were installed on the microcomputer (PC-AT) and its capabilities are being investigated. The TM coverage of seven study areas were exported via ELAS software on the Prime to the ERDAS system. Statistical analysis procedures to be used on the spectral data are being identified.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-176803 , NAS 1.26:176803
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    A technique for extrapolating and validating forest cover across large regions - Calibrating AVHRR data with TM data (1989)
    In:  Other Sources
    Details
    Publication Date: 2019-07-12
    Description: A method is presented for extending high-resolution forest cover information across large regions. Using Landsat TM data with AVHRR data, an empirical relationship beween AVHRR spectral signatures and forest cover is developed. The resulting regression equation is applied to an AVHRR scene covering a large area centered around southern Illinois. The map is used to estimate forest cover within a geographical information system. The results are compared with U.S. Forest Service estimates, showing good agreement.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Journal of Remote Sensing (ISSN 0143-1161); 10; 1805-181
    Format: text
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    NASA TECHNICAL REPORTS
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