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  • 1
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    Remote sensing research in geographic education: An alternative view (1981)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: It is noted that within many geography departments remote sensing is viewed as a mere technique a student should learn in order to carry out true geographic research. This view inhibits both students and faculty from investigation of remotely sensed data as a new source of geographic knowledge that may alter our understanding of the Earth. The tendency is for geographers to accept these new data and analysis techniques from engineers and mathematicians without questioning the accompanying premises. This black-box approach hinders geographic applications of the new remotely sensed data and limits the geographer's contribution to further development of remote sensing observation systems. It is suggested that geographers contribute to the development of remote sensing through pursuit of basic research. This research can be encouraged, particularly among students, by demonstrating the links between geographic theory and remotely sensed observations, encouraging a healthy skepticism concerning the current understanding of these data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Purdue Univ. CORSE-81: The 1981 Conf. on Remote Sensing Educ.; p 183-188
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    A case study using LARSYS for analysis of LANDSAT data (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: Techniques are described for analysis of LANDSAT multispectral using the LARSYS data processing system.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-147404 , LARS-INFORM-NOTE-050575
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    Crop Identification Technology Assessment for Remote Sensing (CITARS) (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The results of classifications and experiments performed for the Crop Identification Technology Assessment for Remote Sensing (CITARS) project are summarized. Fifteen data sets were classified using two analysis procedures. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. In addition, 20 data sets were classified using training statistics from another segment or date. The results of both the local and non-local classifications in terms of classification and proportion estimation are presented. Several additional experiments are described which were performed to provide additional understanding of the CITARS results. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, the spectral discriminability of corn, soybeans, and other, and analysis of aircraft multispectral data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-147389 , LARS-INFORM-NOTE-072175
    Format: application/pdf
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  • 4
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    Crop identification technology assessment for remote sensing (CITARS). Volume 6: Data processing at the laboratory for applications of remote sensing (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The results of classifications and experiments for the crop identification technology assessment for remote sensing are summarized. Using two analysis procedures, 15 data sets were classified. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. Additionally, 20 data sets were classified using training statistics from another segment or date. The classification and proportion estimation results of the local and nonlocal classifications are reported. Data also describe several other experiments to provide additional understanding of the results of the crop identification technology assessment for remote sensing. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, spectral discriminability of corn, soybeans, and other, and analyses of aircraft multispectral data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-144374 , JSC-09389-VOL-6
    Format: application/pdf
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  • 5
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    A first interpretation of East African swiddening via computer-assisted analysis of 3 Landsat tapes (1977)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: A preliminary application of the machine processing of Landsat data for the identification of swidden farming in East Africa is discussed. Three sets of Landsat data were analyzed: the 1972 mid-dry season, the 1973 late dry season, and the 1975 early wet season. The analysis procedure consisted of: (1) a preprocessing step to de-skew, rotate, and rescale the data, (2) a geometric correction process, (3) photographic enlargement, and (4) a procedure to obtain spectral response values for training the classification algorithm.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Annual Symposium on Machine Processing of Remotely Sensed Data; Jun 21, 1977 - Jun 23, 1977; West Lafayette, IN
    Format: text
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  • 6
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    Determining land use patterns through man-machine analysis of LANDSAT data: A tutorial simulation (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: There are no author-identified significant results in this report.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E77-10117 , NASA-CR-151162 , LARS-IN-070676 , T-1039/4
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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