Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data

Travers-Smith, H.; Coops, N.C.; Mulverhill, C.; Wulder, M.A.; Ignace, D.; Lantz, T.C.

doi:10.1016/j.rse.2024.114097

Remote Sensing of Environment

2024

DOI: 10.1016/j.rse.2024.114097

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Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data

H. Travers-Smith,

N.C. Coops,

C. Mulverhill

et al.

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Cited by 6 publications

References 77 publications

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Utilization of Sentinel-2 satellite imagery for correlation analysis of shoreline variation and incident waves: Application to Wonpyeong-Chogok Beach, Korea

Kim,

Lim,

Lee

2025

International Journal of Applied Earth Observation and Geoinfor

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Utilization of Sentinel-2 satellite imagery for correlation analysis of shoreline variation and incident waves: Application to Wonpyeong-Chogok Beach, Korea

Kim,

Lim,

Lee

2025

International Journal of Applied Earth Observation and Geoinfor

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The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests

Zhang,

He,

Chen

et al. 2024

GIScience & Remote Sensing

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Lidar-derived estimates of boreal shrub biomass in Southcentral Alaska

Martin,

Dial,

Cook

et al. 2024

Environ. Res. Lett.

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Despite widespread observations of shrub proliferation and expansion (shrubification), few studies quantify shrub biomass at the regional scale. Here we describe and implement a two-part modeling approach to estimate and map tall shrub (diameter at root collar > 2.5 cm) expected aboveground biomass, or E[SHB], across a 16.6 million ha boreal region where shrubification occurs in wetlands and subalpine ecosystems. Using n = 384 field plots nested within m = 11 study sites across southcentral Alaska, we constructed random forest models of the probability (pSH) that shrub wood volume surpasses tree wood volume, and generalized additive models (GAMs) of aboveground biomass of tall shrubs (SHB) using rasterized aerial lidar variables collected by NASA Goddard’s Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager, together with gridded climate data from a Parameter-elevation Regressions on Independent Slopes Model 30-year normal climatology (PRISM). Applying those models to G-LiHT tiles, then averaging across tiles within n = 843 watersheds covering 9.2 million ha, we estimated that below 1,000 m asl, the area-weighted mean value of E[SHB] = pSH x SHB = 6.6 Mg ha-1 with sd = 4.5 Mg ha-1. This is the first study to estimate current shrub biomass density at the regional scale in southcentral Alaska and serves as a biomass baseline for measuring and modeling aboveground carbon fluxes where plant communities are undergoing climate-driven change.

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Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data

Cited by 6 publications

References 77 publications

Utilization of Sentinel-2 satellite imagery for correlation analysis of shoreline variation and incident waves: Application to Wonpyeong-Chogok Beach, Korea

Utilization of Sentinel-2 satellite imagery for correlation analysis of shoreline variation and incident waves: Application to Wonpyeong-Chogok Beach, Korea

The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests

Lidar-derived estimates of boreal shrub biomass in Southcentral Alaska

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