• DocumentCode
    484539
  • Title

    An Increased Potential for the Landsat Data Continuity Mission to Contribute to Water Quality Studies for Inland, Case 2 Waters

  • Author

    Gerace, Aaron ; Schott, John

  • Author_Institution
    Center of Imaging Sci., Rochester Inst. of Technol., Rochester, NY
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The Landsat Data Continuity Mission´s (LDCM) Operational Land Imager (OLI) is a new sensor being developed by NASA which is both radiometrically and spatially sufficient for the monitoring of case 2 waters. This study, based on the sensor´s design, presents the initial results of an experiment to determine what impact its improved features will have on water quality assessment. Specifically, we investigate how the addition of a deep blue band, 12-bit quantization, and improved signal-to-noise ratios affects our ability to retrieve water constituents. Preliminary tests are performed in the absence of atmospheric effects and indicate that the LDCM sensor can achieve about 5% error in the retrieval process while its predecessor ETM+ produces errors of over 20%. These results illustrate LDCM´s potential to be a useful tool for the continuous monitoring of coastal and inland water resources. Ongoing work is focused on atmospherically compensating the data from the OLI instrument to actually achieve the potential demonstrated in this study.
  • Keywords
    hydrological equipment; oceanographic equipment; remote sensing; water quality; water resources; 12-bit quantization; LDCM; Landsat Data Continuity Mission´s; NASA; Operational Land Imager sensor; blue band; coastal water resources; inland water resources; retrieve water constituents; signal-to-noise ratios affects; water quality assessment; Image sensors; Monitoring; NASA; Quality assessment; Quantization; Radiometry; Remote sensing; Satellites; Sensor phenomena and characterization; Signal to noise ratio; LDCM; Landsat; OLI; Water Quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779737
  • Filename
    4779737