NEW AUTOMATED CLOUD AND CLOUD-SHADOW DETECTION USING LANDSAT IMAGERY

Authors

  • Kustiyo Remote Sensing Technology and Data Center, National Institute of Aeronautics and Space (LAPAN)
  • Dianovita Remote Sensing Technology and Data Center, National Institute of Aeronautics and Space (LAPAN)
  • Hedi Ismaya Remote Sensing Technology and Data Center, National Institute of Aeronautics and Space (LAPAN)
  • Mulia Inda Rahayu Remote Sensing Technology and Data Center, National Institute of Aeronautics and Space (LAPAN)
  • Erna Sri Adiningsih Remote Sensing Technology and Data Center, National Institute of Aeronautics and Space (LAPAN)

DOI:

https://doi.org/10.30536/j.ijreses.2012.v9.a1831

Keywords:

Landsat, Cloud pixel, Potential cloud pixel, Cloud shadow

Abstract

Cloud cover has become a major problem in the use of optical satellite imageries, particularly in Indonesian region located along equator or tropical region with high cloud cover almost all year round. In this study, a new method for cloud and cloud shadow detection using Landsat imagery for specific Indonesian region was developed to provide a more efficient and effective way to detect clouds and cloud shadows. Landsat Top of Atmosphere (TOA) reflectance and Brightness Temperature (BT) were used as inputs into the model. The first step was to detect cloud based on cloud physical properties using albedo and thermal bands, the second step was to detect cloud shadows using the Near Infrared (NIR), and Short Wave Infrared (SWIR) bands, and finally, the geometric relationships were used to match the cloud and cloud shadow layer, before proceeding to the production of the final cloud and cloud shadow mask. The results were then compared with other method such as tree base cloud separation. It showed that method we proposed could provide better result than tree base method, the accuracy result of this method was 98.75%.

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Published

2025-11-26

Issue

Vol. 9 No. 2 (2012)

Section

Articles

License

Copyright (c) 2012 Author (S)

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