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Evaluation of Data Quality and Drought Monitoring Capability of FY-3A MERSI Data
Joint Authors
Liu, Liangming
Wang, Qiao
Yang, Na
Han, Tao
Xiang, Daxiang
Source
Advances in Artificial Intelligence
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-02-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Topics
Abstract EN
FY-3A is the second Chinese Polar Orbital Meteorological Satellite with global, three-dimensional, quantitative, and multispectral capabilities.
Its missions include monitoring global disasters and environment changes.
This study describes some basic parameters and major technical indicators of the FY-3A and evaluates data quality and drought monitoring capability of the Medium-Resolution Imager (MERSI) onboard the FY-3A.
Data obtained with the MERSI was compared with that of the MODerate-resolution Imaging Spectroradiometer (MODIS), imaged at the same time period and geographic zone.
In addition, the Temperature/Vegetation Drought Index (TVDI), a highly accurate and stable monitoring model, was used to monitor drought condition with MERSI and MODIS sensors.
It is found in the study that the relative accuracy of data, obtained with these two devices, was consistent with the acceptable overall accuracy of 93.8.
Furthermore, spatial resolution of MERSI is superior as compared to that of MODIS.
Therefore, FY-3A MERSI can serve a reliable and new data source for drought monitoring.
American Psychological Association (APA)
Xiang, Daxiang& Liu, Liangming& Wang, Qiao& Yang, Na& Han, Tao. 2010. Evaluation of Data Quality and Drought Monitoring Capability of FY-3A MERSI Data. Advances in Artificial Intelligence،Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-447534
Modern Language Association (MLA)
Xiang, Daxiang…[et al.]. Evaluation of Data Quality and Drought Monitoring Capability of FY-3A MERSI Data. Advances in Artificial Intelligence No. 2010 (2010), pp.1-10.
https://search.emarefa.net/detail/BIM-447534
American Medical Association (AMA)
Xiang, Daxiang& Liu, Liangming& Wang, Qiao& Yang, Na& Han, Tao. Evaluation of Data Quality and Drought Monitoring Capability of FY-3A MERSI Data. Advances in Artificial Intelligence. 2010. Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-447534
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447534