Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization

Reviewed 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 exte...

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Main Authors: Fraser, Robert H., Olthof, Ian, Kokelj, Steven V., Lantz, Trevor C., Lacelle, Denis, Brooker, Alexander, Wolfe, Stephen, Schwarz, Steve
Format: Article in Journal/Newspaper
Language:English
Published: Remote Sensing 2020
Subjects:
geo
Online Access:http://hdl.handle.net/1828/12204
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spelling fttriple:oai:gotriple.eu:12204 2023-05-15T17:09:26+02:00 Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization Fraser, Robert H. Olthof, Ian Kokelj, Steven V. Lantz, Trevor C. Lacelle, Denis Brooker, Alexander Wolfe, Stephen Schwarz, Steve 2020-10-14 http://hdl.handle.net/1828/12204 en eng Remote Sensing 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. 12204 http://hdl.handle.net/1828/12204 undefined UVic’s Research and Learning Repository geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple 2023-01-22T16:36:42Z Reviewed 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. 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 ... Article in Journal/Newspaper Mackenzie Basin Northwest Territories Thermokarst Tundra Unknown Canada Northwest Territories
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
Fraser, Robert H.
Olthof, Ian
Kokelj, Steven V.
Lantz, Trevor C.
Lacelle, Denis
Brooker, Alexander
Wolfe, Stephen
Schwarz, Steve
Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
topic_facet geo
envir
description Reviewed 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. 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 ...
format Article in Journal/Newspaper
author Fraser, Robert H.
Olthof, Ian
Kokelj, Steven V.
Lantz, Trevor C.
Lacelle, Denis
Brooker, Alexander
Wolfe, Stephen
Schwarz, Steve
author_facet Fraser, Robert H.
Olthof, Ian
Kokelj, Steven V.
Lantz, Trevor C.
Lacelle, Denis
Brooker, Alexander
Wolfe, Stephen
Schwarz, Steve
author_sort Fraser, Robert H.
title Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
title_short Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
title_full Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
title_fullStr Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
title_full_unstemmed Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
title_sort detecting landscape changes in high latitude environments using landsat trend analysis: 1. visualization
publisher Remote Sensing
publishDate 2020
url http://hdl.handle.net/1828/12204
geographic Canada
Northwest Territories
geographic_facet Canada
Northwest Territories
genre Mackenzie Basin
Northwest Territories
Thermokarst
Tundra
genre_facet Mackenzie Basin
Northwest Territories
Thermokarst
Tundra
op_source UVic’s Research and Learning Repository
op_relation 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.
12204
http://hdl.handle.net/1828/12204
op_rights undefined
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