DocumentCode :
3346439
Title :
Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS)
Author :
Micijevic, Esad ; Morfitt, Ron
Author_Institution :
Earth Resources Obs. & Sci. (EROS) Center, SGT Inc., Sioux Falls, SD, USA
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2291
Lastpage :
2294
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.
Keywords :
geophysical image processing; Earth Observer 1 advanced land imager; Landsat 1-5 satellite; Landsat 7 Enhanced Thematic Mapper Plus; Landsat data continuity mission sensors; image assessment system; image data quality assessment; multispectral sensors; operational calibration; operational land imager; operational validation; thermal infrared sensor spectral band; Calibration; Detectors; Earth; Radiometry; Remote sensing; Satellites; LDCM; Landsat; OLI; TIRS; calibration; characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5652207
Filename :
5652207
Link To Document :
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