Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
| dc.contributor.author | Fraser, Robert H. | |
| dc.contributor.author | Olthof, Ian | |
| dc.contributor.author | Kokelj, Steven V. | |
| dc.contributor.author | Lantz, Trevor C. | |
| dc.contributor.author | Lacelle, Denis | |
| dc.contributor.author | Brooker, Alexander | |
| dc.contributor.author | Wolfe, Stephen | |
| dc.contributor.author | Schwarz, Steve | |
| dc.date.accessioned | 2020-10-14T23:17:08Z | |
| dc.date.available | 2020-10-14T23:17:08Z | |
| dc.date.copyright | 2014 | en_US |
| dc.date.issued | 2014 | |
| dc.description.abstract | Satellite remote sensing is a promising technology for monitoring natural and anthropogenic changes occurring in remote, northern environments. It offers the potential to scale-up ground-based, local environmental monitoring efforts to document disturbance types, and characterize their extents and frequencies at regional scales. Here we present a simple, but effective means of visually assessing landscape disturbances in northern environments using trend analysis of Landsat satellite image stacks. Linear trends of the Tasseled Cap brightness, greenness, and wetness indices, when composited into an RGB image, effectively distinguish diverse landscape changes based on additive color logic. Using a variety of reference datasets within Northwest Territories, Canada, we show that the trend composites are effective for identifying wildfire regeneration, tundra greening, fluvial dynamics, thermokarst processes including lake surface area changes and retrogressive thaw slumps, and the footprint of resource development operations and municipal development. Interpretation of the trend composites is aided by a color wheel legend and contextual information related to the size, shape, and location of change features. A companion paper in this issue (Olthof and Fraser) focuses on quantitative methods for classifying these changes. | en_US |
| dc.description.reviewstatus | Reviewed | en_US |
| dc.description.scholarlevel | Faculty | en_US |
| dc.description.sponsorship | We thank Marilee Pregitzer and Alice Deschamps for assistance with satellite image and GIS processing. Vern Singhroy and Christian Prevost from CCMEO and our anonymous reviewers offered helpful comments to improve the paper. The Polar Continental Shelf Program of Natural Resources Canada provided helicopter time from Great Slave Helicopters to acquire air photos. Funding for this work was provided by Natural Resources Canada’s TRACS project led by Stephen Wolfe and by the NWT Cumulative Impacts Monitoring Program under the projects “A Multi-scale Assessment of Cumulative Impacts in the Northern Mackenzie Basin” led by Claire Marchildon and “A watershed approach to monitoring cumulative impacts of landscape change” led by Krista Chin. | en_US |
| dc.identifier.citation | Fraser, R. H., Olthof, I., Kokelj, S. V., Lantz, T. C., Lacelle, D., Brooker, A., Wolfe, S., & Schwarz, S. (2014). Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization. Remote Sensing, 6(11), 11533-11557. https://doi.org/10.3390/rs61111533. | en_US |
| dc.identifier.uri | https://doi.org/10.3390/rs61111533 | |
| dc.identifier.uri | http://hdl.handle.net/1828/12204 | |
| dc.language.iso | en | en_US |
| dc.publisher | Remote Sensing | en_US |
| dc.subject | arctic | en_US |
| dc.subject | change detection | en_US |
| dc.subject | image stacks | en_US |
| dc.subject | disturbance | en_US |
| dc.subject | lakes | en_US |
| dc.subject | slumps | en_US |
| dc.subject | fires | en_US |
| dc.subject | environmental monitoring | en_US |
| dc.subject | cumulative impacts | en_US |
| dc.title | Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization | en_US |
| dc.type | Article | en_US |