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  • EARTH RESOURCES AND REMOTE SENSING  (80)
  • 2010-2014
  • 1980-1984  (80)
  • 1
    Publication Date: 2019-06-28
    Description: Data derived from the Nimbus 7 scanning multichannel microwave radiometer (SMMR) are discussed and the types of problems users have with satellite data are documented. The development of software for assessing the SMMR data is mentioned. Two case studies were conducted to verify the SMMR-derived sea ice concentrations and multi-year ice fractions. The results of a survey of potential users of SMMR data are presented, along with SMMR-derived sea ice concentration and multiyear ice fraction maps. The interaction of the Arctic atmosphere with the ice was studied using the Nimbus 7 SMMR. In addition, the characteristics of ice in the Arctic ocean were determined from SMMR data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-175255 , NAS 1.26:175255
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  • 2
    Publication Date: 2019-06-28
    Description: Research performed in the accuracy assessment of remotely sensed data is updated and reviewed. The use of discrete multivariate analysis techniques for the assessment of error matrices, the use of computer simulation for assessing various sampling strategies, and an investigation of spatial autocorrelation techniques are examined.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10029 , NASA-CR-171703 , RR-U3-04435 , NAS 1.26:171703 , USDAES-83-NFAP-327 , RRR-83-1
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  • 3
    Publication Date: 2019-06-28
    Description: The development of LANDSAT classification accuracy assessment techniques, and of a computerized system for assessing wildlife habitat from land cover maps are considered. A literature review on accuracy assessment techniques and an explanation for the techniques development under both projects are included along with listings of the computer programs. The presentations and discussions at the National Working Conference on LANDSAT Classification Accuracy are summarized. Two symposium papers which were published on the results of this project are appended.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E81-10183 , NASA-CR-160949 , RR-U1-04066 , JSC-17123
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  • 4
    Publication Date: 2019-06-28
    Description: A review and update of the discrete multivariate analysis techniques used for accuracy assessment is given. A listing of the computer program written to implement these techniques is given. New work on evaluating accuracy assessment using Monte Carlo simulation with different sampling schemes is given. The results of matrices from the mapping effort of the San Juan National Forest is given. A method for estimating the sample size requirements for implementing the accuracy assessment procedures is given. A proposed method for determining the reliability of change detection between two maps of the same area produced at different times is given.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: PB82-250432 , NFAP-276 , REMOTE-SENSING-RR-82-1
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  • 5
    Publication Date: 2019-06-28
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-169217 , NAS 1.26:169217 , PB82-164500 , RR-U1-04066 , RR-81-1 , NFAP-239 , JSC-17123
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  • 6
    Publication Date: 2011-08-18
    Description: The validity of using data from the Advanced Very High Resolution Radiometer (AVHRR) of the satellites NOAA-6 and NOAA-7 for land cover mapping is assessed by making comparisons with much higher resolution LANDSAT multi-spectral scanner (MSS) data. Near synchronous data for both systems are analysed for test sites in the Imperial Valley, California, the Nile Delta, and southern Italy. The results strongly indicate that despite the very coarse resolution of the AVHRR data compared with conventional MSS data they are sufficiently strongly correlated to suggest that the former have significant potential for land cover mapping, especially at small scales and for large areas. Hence the outstanding benefits of AVHRR data, namely their high temporal frequency, relative cheapness and low data volumes for image processing, may readily be taken advantage of for such tasks.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Journal of Remote Sensing (ISSN 0143-1161); 5; 497-504
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  • 7
    Publication Date: 2011-08-17
    Description: The various stages in carrying out a monocluster block unsupervised classification using Landsat MSS data are described. Procedures for carrying out these various stages were found to be far from well-established for the type of terrain being investigated, which is rugged and contains many small land cover units. Two particular difficulties were encountered: first, that of precise ground location of pixels; and, secondly, that of objectively evaluating the results. Ways in which these can be surmounted are suggested.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 8
    Publication Date: 2011-08-18
    Description: An approach is described for providing periodic inflight absolute radiometric calibrations of the LANDSAT-4 sensors by reference to selected, instrumented ground areas. Results of some early ground measurements and computer simulations are presented. Selection of a suitable ground reference site, accurate measurement of the spectral reflectance of the selected area, determination of atmospheric characteristics during the morning of the sensor overpass, reduction of the measured data and their use in an appropriate atmospheric radiative transfer program, and comparison of the radiance level data with the digital counts of for the images of the selected areas are discussed. Preliminary measurements of gypsum are being made as an aid in defining the characteristics of field equipment to be constructed and calibrated for use over the White Sands Missile Range.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA. Goddard Space Flight Center LANDSAT-4 Sci. Characterization; 3 p
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  • 9
    Publication Date: 2011-08-18
    Description: LANDSAT data from July 1973 and June 1978 for the Patuxent River Watershed of Maryland were processed in an effort to devise an economical method of monitoring the reclamation of sand and gravel pits. ASTEP-II and IDIMS software were utilized to derive signatures for sand and gravel pits and other land use/land cover types. Both unsupervised and supervised classifications of the two data sets were produced. Resultant statistics and color output products were compared in order to determine the extent of reclamation and expansion of sand and gravel pits over the five-year time span and to check the locations of more recent sand and gravel pits. Preliminary results indicate that, for a selected northern sub-acre, signatures derived for sand and gravel pits were nearly 90 percent accurate.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: 2nd Eastern Reg. Remote Sensing Appl. Conf.; p 191-200
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  • 10
    Publication Date: 2011-08-18
    Description: Strip and contour mining techniques are reviewed as well as some studies conducted to determine the applicability of LANDSAT and associated digital image processing techniques to the surficial problems associated with mining operations. A nontraditional unsupervised classification approach to multispectral data is considered which renders increased classification separability in land cover analysis of surface mined areas. The approach also reduces the dimensionality of the data and requires only minimal analytical skills in digital data processing.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: 2nd Eastern Reg. Remote Sensing Appl. Conf.; p 167-190
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