Changes in tall shrub abundance on the North Slope of Alaska, 2000–2010

Rocio R. Duchesne, Mark Chopping, Ken D. Tape, Zhuosen Wang, Crystal L.B. Schaaf

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a new mapping approach that uses satellite imagery from the NASA Multi-angle Imaging SpectroRadiometer (MISR) sensor, ancillary topographic and geographic variables, derived Ross-Li Bidirectional Reflectance Distribution Function (BRDF) kernel (scattering function) weights, and a Boosted Regression Tree (BRT) model. After training and validating the BRT model, 10 predictor variables explained 53% of the variation in tall shrub fractional cover. The isotropic kernel weight from the BRDF model, topographic slope, nadir camera red reflectance, and latitude were the variables that contributed to the model the most as they were used more frequently to generate the regression trees. At a spatial resolution of 250 m, predicted tall shrub fractional cover on the North Slope ranged from 0.00 to 0.21 (RMSE = 0.03), with the vast majority of sites having fractional cover <0.02. High shrub fractional cover values were predicted along floodplains, creeks, and sloped terrain. Temporal comparisons of estimated tall shrub abundance indicated that shrubs expanded during the period 2000–2010. The extent of the area that experienced a change in tall shrub fractional cover >0.06 was <1% (808 km2) of the total area of the North Slope of Alaska (176,524 km2). Tall shrubs may have expanded throughout a larger area but there is insufficient precision in the MISR-based estimates to make an indisputable determination. Nevertheless, 94% of the locations that exhibited a robust change showed a positive trend toward an increase in shrub cover. The tall shrub fractional cover expansion rate varied between 0.006 yr−1 and 0.015 yr−1, with higher rates in the shrubby southwestern portion of the study area.

Original languageEnglish
Pages (from-to)221-232
Number of pages12
JournalRemote Sensing of Environment
Volume219
DOIs
StatePublished - 15 Dec 2018

Fingerprint

shrub
shrubs
Distribution functions
MISR
reflectance
spectroradiometers
Imaging techniques
bidirectional reflectance
Satellite imagery
NASA
Cameras
image analysis
Scattering
topographic slope
Sensors
tundra
nadir
seeds
cameras
satellite imagery

Keywords

  • Arctic
  • Boosted Regression Tree (BRT)
  • CANAPI
  • Fractional cover
  • Multi-angle Imaging SpectroRadiometer (MISR)
  • Shrub expansion
  • Tall shrubs
  • Tundra

Cite this

Duchesne, Rocio R. ; Chopping, Mark ; Tape, Ken D. ; Wang, Zhuosen ; Schaaf, Crystal L.B. / Changes in tall shrub abundance on the North Slope of Alaska, 2000–2010. In: Remote Sensing of Environment. 2018 ; Vol. 219. pp. 221-232.
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abstract = "Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a new mapping approach that uses satellite imagery from the NASA Multi-angle Imaging SpectroRadiometer (MISR) sensor, ancillary topographic and geographic variables, derived Ross-Li Bidirectional Reflectance Distribution Function (BRDF) kernel (scattering function) weights, and a Boosted Regression Tree (BRT) model. After training and validating the BRT model, 10 predictor variables explained 53{\%} of the variation in tall shrub fractional cover. The isotropic kernel weight from the BRDF model, topographic slope, nadir camera red reflectance, and latitude were the variables that contributed to the model the most as they were used more frequently to generate the regression trees. At a spatial resolution of 250 m, predicted tall shrub fractional cover on the North Slope ranged from 0.00 to 0.21 (RMSE = 0.03), with the vast majority of sites having fractional cover <0.02. High shrub fractional cover values were predicted along floodplains, creeks, and sloped terrain. Temporal comparisons of estimated tall shrub abundance indicated that shrubs expanded during the period 2000–2010. The extent of the area that experienced a change in tall shrub fractional cover >0.06 was <1{\%} (808 km2) of the total area of the North Slope of Alaska (176,524 km2). Tall shrubs may have expanded throughout a larger area but there is insufficient precision in the MISR-based estimates to make an indisputable determination. Nevertheless, 94{\%} of the locations that exhibited a robust change showed a positive trend toward an increase in shrub cover. The tall shrub fractional cover expansion rate varied between 0.006 yr−1 and 0.015 yr−1, with higher rates in the shrubby southwestern portion of the study area.",
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Changes in tall shrub abundance on the North Slope of Alaska, 2000–2010. / Duchesne, Rocio R.; Chopping, Mark; Tape, Ken D.; Wang, Zhuosen; Schaaf, Crystal L.B.

In: Remote Sensing of Environment, Vol. 219, 15.12.2018, p. 221-232.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Changes in tall shrub abundance on the North Slope of Alaska, 2000–2010

AU - Duchesne, Rocio R.

AU - Chopping, Mark

AU - Tape, Ken D.

AU - Wang, Zhuosen

AU - Schaaf, Crystal L.B.

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N2 - Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a new mapping approach that uses satellite imagery from the NASA Multi-angle Imaging SpectroRadiometer (MISR) sensor, ancillary topographic and geographic variables, derived Ross-Li Bidirectional Reflectance Distribution Function (BRDF) kernel (scattering function) weights, and a Boosted Regression Tree (BRT) model. After training and validating the BRT model, 10 predictor variables explained 53% of the variation in tall shrub fractional cover. The isotropic kernel weight from the BRDF model, topographic slope, nadir camera red reflectance, and latitude were the variables that contributed to the model the most as they were used more frequently to generate the regression trees. At a spatial resolution of 250 m, predicted tall shrub fractional cover on the North Slope ranged from 0.00 to 0.21 (RMSE = 0.03), with the vast majority of sites having fractional cover <0.02. High shrub fractional cover values were predicted along floodplains, creeks, and sloped terrain. Temporal comparisons of estimated tall shrub abundance indicated that shrubs expanded during the period 2000–2010. The extent of the area that experienced a change in tall shrub fractional cover >0.06 was <1% (808 km2) of the total area of the North Slope of Alaska (176,524 km2). Tall shrubs may have expanded throughout a larger area but there is insufficient precision in the MISR-based estimates to make an indisputable determination. Nevertheless, 94% of the locations that exhibited a robust change showed a positive trend toward an increase in shrub cover. The tall shrub fractional cover expansion rate varied between 0.006 yr−1 and 0.015 yr−1, with higher rates in the shrubby southwestern portion of the study area.

AB - Mapping canopy-forming shrubs in tundra is challenging because approaches that rely on spectral information alone struggle to differentiate low and tall shrubs. We present an evaluation of changes in tall shrub (>0.5 m) fractional cover on the North Slope of Alaska between 2000 and 2010, using a new mapping approach that uses satellite imagery from the NASA Multi-angle Imaging SpectroRadiometer (MISR) sensor, ancillary topographic and geographic variables, derived Ross-Li Bidirectional Reflectance Distribution Function (BRDF) kernel (scattering function) weights, and a Boosted Regression Tree (BRT) model. After training and validating the BRT model, 10 predictor variables explained 53% of the variation in tall shrub fractional cover. The isotropic kernel weight from the BRDF model, topographic slope, nadir camera red reflectance, and latitude were the variables that contributed to the model the most as they were used more frequently to generate the regression trees. At a spatial resolution of 250 m, predicted tall shrub fractional cover on the North Slope ranged from 0.00 to 0.21 (RMSE = 0.03), with the vast majority of sites having fractional cover <0.02. High shrub fractional cover values were predicted along floodplains, creeks, and sloped terrain. Temporal comparisons of estimated tall shrub abundance indicated that shrubs expanded during the period 2000–2010. The extent of the area that experienced a change in tall shrub fractional cover >0.06 was <1% (808 km2) of the total area of the North Slope of Alaska (176,524 km2). Tall shrubs may have expanded throughout a larger area but there is insufficient precision in the MISR-based estimates to make an indisputable determination. Nevertheless, 94% of the locations that exhibited a robust change showed a positive trend toward an increase in shrub cover. The tall shrub fractional cover expansion rate varied between 0.006 yr−1 and 0.015 yr−1, with higher rates in the shrubby southwestern portion of the study area.

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KW - Multi-angle Imaging SpectroRadiometer (MISR)

KW - Shrub expansion

KW - Tall shrubs

KW - Tundra

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