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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Micijevic, E. Morfitt, R. |
| Copyright Year | 2010 |
| Description | Author affiliation: SGT Inc., Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198-0001, USA (Micijevic, E.; Morfitt, R.) |
| Abstract | Systematic characterization and calibration of the Landsat sensors and the assessment of image data quality are performed using the Image Assessment System (IAS). The IAS was first introduced as an element of the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) ground segment and recently extended to Landsat 4 (L4) and 5 (L5) Thematic Mappers (TM) and Multispectral Sensors (MSS) on-board the Landsat 1–5 satellites. In preparation for the Landsat Data Continuity Mission (LDCM), the IAS was developed for the Earth Observer 1 (EO-1) Advanced Land Imager (ALI) with a capability to assess pushbroom sensors. This paper describes the LDCM version of the IAS and how it relates to unique calibration and validation attributes of its on-board imaging sensors. The LDCM IAS system will have to handle a significantly larger number of detectors and the associated database than the previous IAS versions. An additional challenge is that the LDCM IAS must handle data from two sensors, as the LDCM products will combine the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) spectral bands. |
| Starting Page | 2291 |
| Ending Page | 2294 |
| File Size | 193579 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424495658 |
| ISSN | 21537003 |
| e-ISBN | 9781424495665 |
| e-ISBN | 9781424495641 |
| DOI | 10.1109/IGARSS.2010.5652207 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Detectors Calibration Earth Satellites Radiometry Remote sensing TIRS Landsat calibration characterization LDCM OLI |
| Content Type | Text |
| Resource Type | Article |
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