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Proceedings Paper

A new architecture of NOAA AVHRR/3 data preprocessing system: design and implementation
Author(s): Lingli Mu; Bingfang Wu; Nana Yan; Xiong Jun
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Paper Abstract

NOAA AVHRR/3 data are very important in scientific study and operational applications, which have been widely used in environment monitoring, drought monitoring and crop yield evaluation in China. For this reason, it is necessary to set up a stable, robust and automatic data preprocessing system. In this paper, a NOAA AVHRR/3 data preprocessing System is designed and implemented, which is developed by Interactive Data Language (IDL). At first in the paper, the importance of The NOAA AVHRR/3 data preprocessing is addressed. And then an architecture of NOAA AVHRR/3 data Preprocessing System is presented, which includes the Automatic Data Receiving, Radiant Calibration, Brightness Temperature Calibration, Geometric Correction, Cloud Detect, Atmosphere Correction, BRDF Correction, Land Surface Parameter Retrieval, Data Visualization and Mapping. In addition, Management of above output data is realized using Oracle 9.0 in this paper. At last, the performance of this system is analyzed .The result shows that this architecture of NOAA AVHRR/3 Data Preprocessing System is feasible.

Paper Details

Date Published: 3 November 2005
PDF: 10 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604309 (3 November 2005); doi: 10.1117/12.652408
Show Author Affiliations
Lingli Mu, Institute of Remote Sensing Applications, CAS (China)
Bingfang Wu, Institute of Remote Sensing Applications, CAS (China)
Nana Yan, Institute of Remote Sensing Applications, CAS (China)
Xiong Jun, Institute of Remote Sensing Applications, CAS (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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