¬¬A surface cover change detection method based on the Australian Geoscience Data Cube  

Authors / CoAuthors

Tan, P. | Sagar, S. | Mueller, N. | Lymburner, L. | Thankappan, M. | Lewis, A.

Abstract

We describe a surface cover change detection method based on the Australian Geoscience Data Cube (AGDC). The AGDC is a common analytical framework for large volumes of regularly gridded geoscientific data initially developed by Geoscience Australia (GA). AGDC effectively links geoscience data sets from various sources by spatial and temporal stamps associated with the data. Therefore, AGDC enables analysis of generations of consistent remote sensing time series data across Australia. The Australian Reflectance Grid 25m is one of the remote sensing data sets in the AGDC. The data is currently hosted at the high performance computational cloud at the National Computational Infrastructure. Our change detection method takes advantage of temporally rich data in the AGDC, applying time series analysis to identify changes in surface cover. To detect change we apply a series of modules, which are independent of each other. The modules include: - a pixel quality mask and time series noise detection mask, which detects and filters out noise in data; - classification modules based on a random forests algorithm, which classifies pixels into specific objects using spectral information; - training modules, which create classification modules using known surface cover data; - time series analysis modules, which model and reduce time series data into coefficients relevant to change detection targets; - temporal and spatial classification modules, which classify pixels into predefined land cover classes. This paper summarises development of the work flow and the initial results from example applications, such as reforestation / deforestation detection and coastal zone mapping.

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nonGeographicDataset

eCat Id

84544

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Keywords

• External PublicationConference Paper

Australian and New Zealand Standard Research Classification (ANZSRC)

• Earth Sciences

• Published_Internal

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2015-01-01T00:00:00

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Australian Government Security ClassificationSystem    

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geoscientificInformation

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