Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska
Bibliographic Data
| ID | 15547656 |
|---|---|
| Authors | Sara Bratsch (University of Virginia, corresponding author), Howard E Epstein (0000-0003-2817-4486, University of Virginia), Howard Epstein, Marcel Buchhorn (0000-0002-7922-2161, Flemish Institute for Technological Research), Donald A Walker (0000-0001-9581-7811, University of Alaska Fairbanks), Donald Walker, Heather Landes (University of Virginia) |
| Year | 2017 |
| Volume | 12 |
| Issue | 2 |
| Pages | 025003-025003 |
| Publication date | 2017-01-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/aa572e |
| OpenAlex | W2569817733 |
| Language | EN |
| Citations received | 3 |
| References cited | 48 |
Warming in the Arctic has resulted in a lengthening of the growing season and changes to the distribution and composition of tundra vegetation including increased biomass quantities in the Low Arctic. Biomass has commonly been estimated using broad-band greenness indices such as NDVI; however, vegetation changes in the Arctic are occurring at spatial scales within a few meters. The aim of this paper is to assess the ability of hyperspectral remote sensing data to estimate biomass quantities among different plant tissue type categories at the North Slope site of Ivotuk, Alaska. Hand-held hyperspectral data and harvested biomass measurements were collected during the 1999 growing season. A subset of the data was used as a training set, and was regressed against the hyperspectral bands using LASSO. LASSO is a modification of SPLS and is a variable selection technique that is useful in studies with high collinearity among predictor variables such as hyperspectral remote sensing. The resulting equations were then used to predict biomass quantities for the remaining Ivotuk data. The majority of significant biomass-spectra relationships (65%) were for shrubs categories during all times of the growing season and bands in the blue, green, and red edge wavelength regions of the spectrum. The ability to identify unique biomass-spectra relationships per community is decreased at the height of the growing season when shrubs obscure lower-lying vegetation such as mosses. The results of this study support previous research arguing that shrubs are dominant controls over spectral reflectance in Low Arctic communities and that this dominance results in an increased ability to estimate shrub component biomass over other plant functional types
Arctic · Arctic vegetation · Atmospheric sciences · Biology · Biomass (ecology · Climate change · Dominance (genetics · Geography · Growing season · Hyperspectral imaging · Normalized Difference Vegetation Index · Physical geography · Remote sensing · Tundra · Vegetation (pathology · Climate change and permafrost · Cryospheric studies and observations · Environmental Science · Rangeland and Wildlife Management · Ecology · Geology
Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape
Focus on recent, present and future Arctic and boreal productivity and biomass changes
Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of Alaska
Plant community responses to experimental warming across the tundra biome
The Circumpolar Arctic vegetation map
Russian Arctic warming and ‘greening’ are closely tracked by tundra shrub willows
Circumpolar Arctic Tundra Vegetation Change Is Linked to Sea Ice Decline
Global Surface Temperature Change
Regularization Paths for Generalized Linear Models via Coordinate Descent
Regression Shrinkage and Selection Via the Lasso
Environment, vegetation and greenness (NDVI) along the North America and Eurasia Arctic transects
Recent changes in phenology over the northern high latitudes detected from multi-satellite data
Dynamics of aboveground phytomass of the circumpolar Arctic tundra during the past three decades
Shrub expansion in tundra ecosystems
Climate trends in the Arctic as observed from space
NDVI, biomass, and landscape evolution of glaciated terrain in northern Alaska
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2018 - 2020 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |