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

History and Geography

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