A new semi-automatic seamless cloud-free landsat mosaicking approach tracks forest change over large extents

Hislop, S, Jones, S, Soto-Berelov, M, Skidmore, A, Haywood, A and Nguyen, T 2018, 'A new semi-automatic seamless cloud-free landsat mosaicking approach tracks forest change over large extents', in Proceedings of the 38th International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Spain, 22-27 July 2018, pp. 4954-4957.


Document type: Conference Paper
Collection: Conference Papers

Title A new semi-automatic seamless cloud-free landsat mosaicking approach tracks forest change over large extents
Author(s) Hislop, S
Jones, S
Soto-Berelov, M
Skidmore, A
Haywood, A
Nguyen, T
Year 2018
Conference name IGARSS 2018
Conference location Valencia, Spain
Conference dates 22-27 July 2018
Proceedings title Proceedings of the 38th International Geoscience and Remote Sensing Symposium (IGARSS 2018)
Publisher IEEE
Place of publication United States
Start page 4954
End page 4957
Total pages 4
Abstract The extensive and freely available archive of Landsat satellite data is used throughout the world to assess forest changes over large areas and long time periods (30-40 years). But analyzing Landsat data in time-series is not free of challenges (e.g. data processing and storage capabilities, dealing with cloud cover and other data gaps, and accounting for changes in illumination conditions due to atmospheric effects, sun angle and vegetation phenology). In this research, we present a method used to create annual seamless cloud-free mosaics for the entire state of Victoria, Australia (19 Landsat tiles), for a 30 year period. These mosaics were created by first constructing yearly Best Available Pixel (BAP) composites from over 3000 individual scenes. Then, forested areas were analyzed in time-series to determine breakpoints (e.g. a disturbance event such as fire). Following this, the breakpoints were used to fit a piece-wise linear regression model through each pixel's temporal trajectory. In this way, data gaps and other radiometric anomalies were removed. These gap-free composites can be used by a variety of stakeholders for land management, statutory reporting and decision making activities. This ensures state-wide consistency, and offers significant savings in processing and storage requirements.
Subjects Photogrammetry and Remote Sensing
Keyword(s) Landsat
Time Series
Compositing
DOI - identifier 10.1109/IGARSS.2018.8518009
Copyright notice © 2018 IEEE
ISBN 9781538671504
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