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  • 1
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    Applications of remote-sensing technology to environmental problems of Delaware and Delaware Bay (1975)
    In:  CASI
    Details
    Publication Date: 2006-01-12
    Description: Digital processing of multispectral LANDSAT data was used to develop a computerized model for predicting oil slick movement within the Delaware Bay. LANDSAT imagery was also used to monitor offshore waste disposal sites for mapping of wetlands, and charting of tidal currents.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA. Lyndon B. Johnson Space Center NASA Earth Resources Survey Symp., Vol. 2-B; p 188-194
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  • 2
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    Computer mapping of Landsat data for environmental applications (1975)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Army Eng. Topographic Labs. Workshop for Environmental Applications of Multispectral Imagery; p 118-134
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  • 3
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    Automated strip mine and reclamation mapping from ERTS (1974)
    In:  Other Sources
    Details
    Publication Date: 2011-08-16
    Description: In response to the urgent need for a faster and more economical means of generating strip mine and reclamation maps, a study was conducted to evaluate the suitability of using ERTS computer compatible tape for automatic mapping. The procedure uses computer target spectral recognition techniques as a basis for classification. The area encompassed by this investigation includes five counties in eastern Ohio that comprise nearly 7,500 square kilometers (3,000 square miles). The counties have been disrupted by coal mining since the early 1800's, and strip mining has been practiced in all of them. The environmental effects of strip mining are also discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA. Goddard Space Flight Center Third ERTS Symp., Vol. 2; p 87-101
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  • 4
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    The Remote Analysis Station (RAS) as an instructional system (1981)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: "Hands-on" training in LANDSAT data analysis techniques can be obtained using a desk-top, interactive remote analysis station (RAS) which consists of a color CRT imagery display, with alphanumeric overwrite and keyboard, as well as a cursor controller and modem. This portable station can communicate via modem and dial-up telephone with a host computer at 1200 baud or it can be hardwired to a host computer at 9600 baud. A Z80 microcomputer controls the display refresh memory and remote station processing. LANDSAT data is displayed as three-band false-color imagery, one-band color-sliced imagery, or color-coded processed imagery. Although the display memory routinely operates at 256 x 256 picture elements, a display resolution of 128 x 128 can be selected to fill the display faster. In the false color mode the computer packs the data into one 8-bit character. When the host is not sending pictorial information the characters sent are in ordinary ASCII code. System capabilities are described.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Purdue Univ. CORSE-81: The 1981 Conf. on Remote Sensing Educ.; p 269-275
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  • 5
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    Production of a water quality map of Saginaw Bay by computer processing of LANDSAT-2 data (1977)
    In:  CASI
    Details
    Publication Date: 2016-06-07
    Description: Surface truth and LANDSAT measurements collected July 31, 1975, for Saginaw Bay were used to demonstrate a technique for producing a color coded water quality map. On this map, color was used as a code to quantify five discrete ranges in the following water quality parameters: (1) temperature, (2) Secchi depth, (3) chloride, (4) conductivity, (5) total Kjeldahl nitrogen, (6) total phosphorous, (7)chlorophyll a, (8) total solids and (9) suspended solids. The LANDSAT and water quality relationship was established through the use of a set of linear regression equations where the water quality parameters are the dependent variables and LANDSAT measurements are the independent variables. Although the procedure is scene and surface truth dependent, it provides both a basis for extrapolating water quality parameters from point samples to unsampled areas and a synoptic view of water mass boundaries over the 3000 sq. km bay area made from one day's ship data that is superior, in many ways, to the traditional machine contoured maps made from three day's ship data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ERIM Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2; p 1045-1054
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  • 6
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    Forestland type identification and analysis in Western Massachussetts: A linkage of a LANDSAT forest inventory to an optimization study (1977)
    In:  CASI
    Details
    Publication Date: 2016-06-07
    Description: Digital land cover files derived from computer processing of LANDSAT and soil productivity data were linked and used by linear programming model to determine production of forested areas under different management strategies. Results of model include maps and data graphics for four-county region in Western Massachusetts.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ERIM Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2; p 1497-1505
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  • 7
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    Water-management model in Florida from LANDSAT-1 data (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: A prototype data acquisition and dissemination network and its effectiveness in improving and/or solving hydrologic problems in southern Florida are evaluated. The network utilized LANDSAT MSS imagery and in situ monitoring by LANDSAT-DCS. Results show water level and rain fall measurements were collected and disseminated in less than two hours, a significant improvement over conventional methods which took up to two months. Improved network performance has also aided the development of water budgets and water distribution to the people, funa, and flora in the area. Imagery from LANDSAT was also found to enhance the utility of ground measurements.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: W-16 , NASA. Lyndon B. Johnson Space Center NASA Earth Resources Surv. Symp., Vol. 1-D; p 2407-2442
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  • 8
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    Automatic categorization of land-water cover types of the Green Swamp, Florida, using Skylab multispectral scanner (S-192) data (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The techniques used and the results achieved in the successful application of Skylab Multispectral Scanner (EREP S-192) high-density digital tape data for the automatic categorizing and mapping of land-water cover types in the Green Swamp of Florida were summarized. Data was provided from Skylab pass number 10 on 13 June 1973. Significant results achieved included the automatic mapping of a nine-category and a three-category land-water cover map of the Green Swamp. The land-water cover map was used to make interpretations of a hydrologic condition in the Green Swamp. This type of use marks a significant breakthrough in the processing and utilization of EREP S-192 data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E-15 , NASA. Lyndon B. Johnson Space Center. NASA Earth Reseources Survey Symp. Vol. 1-A: Agr., Environment; p 479-506
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  • 9
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    Computer Mapping of Water Quality in Saginaw Bay with LANDSAT Digital Data (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The author has identified the following significant results. LANDSAT digital data and ground truth measurements for Saginaw Bay (Lake Huron), Michigan, for 31 July 1975 were correlated by stepwise linear regression and the resulting equations used to estimate invisible water quality parameters in nonsampled areas. Chloride, conductivity, total Kjeldahl nitrogen, total phosphorus, and chlorophyll a were best correlated with the ratio of LANDSAT Band 4 to Band 5. Temperature and Secchi depth correlate best with Band 5.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10124 , NASA-CR-146057 , BSR-4213
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  • 10
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    Variability of wetland reflectance and its effect on automatic catergorization of satellite imagery (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The author has identified the following significant results. A technique for training automated analysis of satellite multispectral data based on in situ measurements of target reflectance was tested and applied in delineating cover communities in Delaware's tidal wetlands. Land cover categorization of data from the same overpass in four test wetland areas was carried out using a four category classification system. The tests indicate that training data based on in situ reflectance measurements and atmospheric correction of LANDSAT data can produce comparable accuracy of categorization to that achieved using more conventional relative radiance training. Analysis of the four wetlands cover categories (salt marsh cordgrass, salt hay, water, and unvegetated tidal flat) produced average categorization accuracies of 82.1% by conventional relative radiance training and 81.4% by use of in situ reflectance measurements.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10488 , NASA-CR-148794
    Format: application/pdf
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