A landsat data tiling and compositing approach optimized for change detection in the conterminous United States

Photogrammetric Engineering and Remote Sensing
By:  and 

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Abstract

Annual disturbance maps are produced by the LANDFIRE program across the conterminous United States (CONUS). Existing LANDFIRE disturbance data from 1999 to 2010 are available and current efforts will produce disturbance data through 2012. A tiling and compositing approach was developed to produce bi-annual images optimized for change detection. A tiled grid of 10,000 × 10,000 30 m pixels was defined for CONUS and adjusted to consolidate smaller tiles along national borders, resulting in 98 non-overlapping tiles. Data from Landsat-5,-7, and -8 were re-projected to the tile extents, masked to remove clouds, shadows, water, and snow/ice, then composited using a cosine similarity approach. The resultant images were used in a change detection algorithm to determine areas of vegetation change. This approach enabled more efficient processing compared to using single Landsat scenes, by taking advantage of overlap between adjacent paths, and allowed an automated system to be developed for the entire process.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title A landsat data tiling and compositing approach optimized for change detection in the conterminous United States
Series title Photogrammetric Engineering and Remote Sensing
DOI 10.14358/PERS.81.7.573
Volume 81
Issue 7
Year Published 2015
Language English
Publisher American Society of Photogrammetry
Publisher location Falls Church, VA
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 14 p.
First page 573
Last page 586
Country United States
Online Only (Y/N) N
Additional Online Files (Y/N) N