Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)

The analysis of a series of five normalized difference vegetation index (NDVI) images produced information about a Labrador (Canada) portion of the tundra-taiga interface. The twenty-five year observation period ranges from 1983 to 2008. The series composed of Landsat, SPOT and ASTER images, provide...

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Published in:Remote Sensing
Main Authors: Élizabeth Simms, Heather Ward
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2013
Subjects:
Online Access:https://doi.org/10.3390/rs5031066
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spelling ftmdpi:oai:mdpi.com:/2072-4292/5/3/1066/ 2023-08-20T04:10:03+02:00 Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada) Élizabeth Simms Heather Ward agris 2013-03-01 application/pdf https://doi.org/10.3390/rs5031066 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs5031066 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 5; Issue 3; Pages: 1066-1090 ASTER Canada Labrador Landsat multisensor multitemporal Normalized Difference Vegetation Index (NDVI) Subarctic tree line tundra-taiga interface SPOT Text 2013 ftmdpi https://doi.org/10.3390/rs5031066 2023-07-31T20:31:44Z The analysis of a series of five normalized difference vegetation index (NDVI) images produced information about a Labrador (Canada) portion of the tundra-taiga interface. The twenty-five year observation period ranges from 1983 to 2008. The series composed of Landsat, SPOT and ASTER images, provided insight into regional scale characteristics of the tundra-taiga interface that is usually monitored from coarse resolution images. The image set was analyzed by considering an ordinal classification of the NDVI to account for the cumulative effect of differences of near-infrared spectral resolutions, the temperature anomalies, and atmospheric conditions. An increasing trend of the median values in the low, intermediate and high NDVI classes is clearly marked while accounting for variations attributed to cross-sensor radiometry, phenology and atmospheric disturbances. An encroachment of the forest on the tundra for the whole study area was estimated at 0 to 60 m, depending on the period of observation, as calculated by the difference between the median retreat and advance of an estimated location of the tree line. In small sections, advances and retreats of up to 320 m are reported for the most recent four- and seven-year periods of observations. Text Subarctic taiga Tundra MDPI Open Access Publishing Canada Mealy Mountains ENVELOPE(-59.465,-59.465,53.383,53.383) Remote Sensing 5 3 1066 1090
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic ASTER
Canada
Labrador
Landsat
multisensor
multitemporal
Normalized Difference Vegetation Index (NDVI)
Subarctic
tree line
tundra-taiga interface
SPOT
spellingShingle ASTER
Canada
Labrador
Landsat
multisensor
multitemporal
Normalized Difference Vegetation Index (NDVI)
Subarctic
tree line
tundra-taiga interface
SPOT
Élizabeth Simms
Heather Ward
Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)
topic_facet ASTER
Canada
Labrador
Landsat
multisensor
multitemporal
Normalized Difference Vegetation Index (NDVI)
Subarctic
tree line
tundra-taiga interface
SPOT
description The analysis of a series of five normalized difference vegetation index (NDVI) images produced information about a Labrador (Canada) portion of the tundra-taiga interface. The twenty-five year observation period ranges from 1983 to 2008. The series composed of Landsat, SPOT and ASTER images, provided insight into regional scale characteristics of the tundra-taiga interface that is usually monitored from coarse resolution images. The image set was analyzed by considering an ordinal classification of the NDVI to account for the cumulative effect of differences of near-infrared spectral resolutions, the temperature anomalies, and atmospheric conditions. An increasing trend of the median values in the low, intermediate and high NDVI classes is clearly marked while accounting for variations attributed to cross-sensor radiometry, phenology and atmospheric disturbances. An encroachment of the forest on the tundra for the whole study area was estimated at 0 to 60 m, depending on the period of observation, as calculated by the difference between the median retreat and advance of an estimated location of the tree line. In small sections, advances and retreats of up to 320 m are reported for the most recent four- and seven-year periods of observations.
format Text
author Élizabeth Simms
Heather Ward
author_facet Élizabeth Simms
Heather Ward
author_sort Élizabeth Simms
title Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)
title_short Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)
title_full Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)
title_fullStr Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)
title_full_unstemmed Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada)
title_sort multisensor ndvi-based monitoring of the tundra-taiga interface (mealy mountains, labrador, canada)
publisher Multidisciplinary Digital Publishing Institute
publishDate 2013
url https://doi.org/10.3390/rs5031066
op_coverage agris
long_lat ENVELOPE(-59.465,-59.465,53.383,53.383)
geographic Canada
Mealy Mountains
geographic_facet Canada
Mealy Mountains
genre Subarctic
taiga
Tundra
genre_facet Subarctic
taiga
Tundra
op_source Remote Sensing; Volume 5; Issue 3; Pages: 1066-1090
op_relation https://dx.doi.org/10.3390/rs5031066
op_rights https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/rs5031066
container_title Remote Sensing
container_volume 5
container_issue 3
container_start_page 1066
op_container_end_page 1090
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