Table of Contents
Advances in Artificial Intelligence
Volume 2010, Article ID 124816, 10 pages
http://dx.doi.org/10.1155/2010/124816
Research Article

Evaluation of Data Quality and Drought Monitoring Capability of FY-3A MERSI Data

1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan Hubei 430079, China
2Network & Information Center, Changjiang Water Resources Commission, Wuhan Hubei 430010, China
3Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province and KeyOpen Laboratory of Arid Climatic Change and Reducing Disaster of CMA, Institute of Arid Meteorology, Lanzhou Gansu 730020, China

Received 22 September 2009; Accepted 18 November 2009

Academic Editor: Djamel Bouchaffra

Copyright © 2010 Daxiang Xiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.