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Proceedings Paper

Study on methods of cloud identification and data recovery for MODIS data
Author(s): Xiuju Wu; Qian Cheng
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Paper Abstract

MODIS data have great potential in rice growth monitoring and yield estimation due to the low cost and high time resolution Unfortunately MODIS which is a kind of visible-infrared sensor cannot detect land surface through cloud and cloud-free image is quite rare during rice growth period due to cloudy weather Therefore, cloud contamination is one of the main obstacles in rice growth monitoring and yield estimation using MODIS data Based on spectral characteristics of cloud and MODIS channels taking it into account that MODIS data includes thirty-six bands, especially the infrared channels subdivided, it has realized cloud detection in MODIS images by multi-spectral synthesis method, infrared difference algorithm, index methods and cloud detection index in this paper. The result shows that infrared difference algorithm, index methods analysis are the simple and effective methods to detect cloud After geometric correction the cloud-free images are obtained through interpolating using time series MODIS data and ratio value using same date data of different year

Paper Details

Date Published: 16 October 2007
PDF: 8 pages
Proc. SPIE 6745, Remote Sensing of Clouds and the Atmosphere XII, 67450P (16 October 2007); doi: 10.1117/12.731220
Show Author Affiliations
Xiuju Wu, Zhejiang Gongshang Univ. (China)
Qian Cheng, Zhejiang Gongshang Univ. (China)

Published in SPIE Proceedings Vol. 6745:
Remote Sensing of Clouds and the Atmosphere XII
Adolfo Comerón; Richard H. Picard; Klaus Schäfer; James R. Slusser; Aldo Amodeo, Editor(s)

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