The universal cloud detection algorithm of MODIS data

Wei Li; Deren Li

doi:10.1117/12.712722

28 October 2006 The universal cloud detection algorithm of MODIS data

Wei Li, Deren Li

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64190F (2006) https://doi.org/10.1117/12.712722
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

In order to extract objective information more effectively, cloud should be removed from these remote sensing images contaminated by clouds. High accurate and automatic detection of clouds in satellite multi-spectral data lays a good foundation for the cloud classification or cloud removing. This paper is established in studying a simple, quick, automatic and efficient cloud detection algorithm based on spectral characteristic for different earth's surface. The authors take account of the spectrums specificity of different objects (cloud, snow, desert, land, plateau, vegetation, water and so on) and the MODIS instrument channel characteristic. We experiment on a lot of MODIS data including different times (spring, summer, autumn and winter) and different earth's surface (snow, desert, land, plateau, vegetation, water and so on). The experimental results indicate that the multi-spectral synthesis algorithm of the composite normalization algebraic operation for cloud detection is very useful. It can detect most clouds of MODIS data, including very thin cloud, on the different earth's surfaces, especially snow and desert.

Citation Download Citation

Wei Li and Deren Li "The universal cloud detection algorithm of MODIS data", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64190F (28 October 2006); https://doi.org/10.1117/12.712722

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