Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska
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, veget...
Published in: | Environmental Research Letters |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
IOP Publishing
2017
|
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/aa572e https://doaj.org/article/6f06200ac67444db9647c9b6fd8572e4 |
id |
ftdoajarticles:oai:doaj.org/article:6f06200ac67444db9647c9b6fd8572e4 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:6f06200ac67444db9647c9b6fd8572e4 2023-09-05T13:16:24+02:00 Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska Sara Bratsch Howard Epstein Marcel Buchhorn Donald Walker Heather Landes 2017-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/aa572e https://doaj.org/article/6f06200ac67444db9647c9b6fd8572e4 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/aa572e https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/aa572e 1748-9326 https://doaj.org/article/6f06200ac67444db9647c9b6fd8572e4 Environmental Research Letters, Vol 12, Iss 2, p 025003 (2017) arctic transitions in the land-atmosphere system (ATLAS) north american arctic transect (NAAT) spectroscopy vegetation biomass tundra vegetation communities Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2017 ftdoajarticles https://doi.org/10.1088/1748-9326/aa572e 2023-08-13T00:37:40Z 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. Article in Journal/Newspaper Arctic north slope Tundra Alaska Directory of Open Access Journals: DOAJ Articles Arctic Environmental Research Letters 12 2 025003 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
arctic transitions in the land-atmosphere system (ATLAS) north american arctic transect (NAAT) spectroscopy vegetation biomass tundra vegetation communities Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
arctic transitions in the land-atmosphere system (ATLAS) north american arctic transect (NAAT) spectroscopy vegetation biomass tundra vegetation communities Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Sara Bratsch Howard Epstein Marcel Buchhorn Donald Walker Heather Landes Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska |
topic_facet |
arctic transitions in the land-atmosphere system (ATLAS) north american arctic transect (NAAT) spectroscopy vegetation biomass tundra vegetation communities Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Sara Bratsch Howard Epstein Marcel Buchhorn Donald Walker Heather Landes |
author_facet |
Sara Bratsch Howard Epstein Marcel Buchhorn Donald Walker Heather Landes |
author_sort |
Sara Bratsch |
title |
Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska |
title_short |
Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska |
title_full |
Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska |
title_fullStr |
Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska |
title_full_unstemmed |
Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska |
title_sort |
relationships between hyperspectral data and components of vegetation biomass in low arctic tundra communities at ivotuk, alaska |
publisher |
IOP Publishing |
publishDate |
2017 |
url |
https://doi.org/10.1088/1748-9326/aa572e https://doaj.org/article/6f06200ac67444db9647c9b6fd8572e4 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic north slope Tundra Alaska |
genre_facet |
Arctic north slope Tundra Alaska |
op_source |
Environmental Research Letters, Vol 12, Iss 2, p 025003 (2017) |
op_relation |
https://doi.org/10.1088/1748-9326/aa572e https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/aa572e 1748-9326 https://doaj.org/article/6f06200ac67444db9647c9b6fd8572e4 |
op_doi |
https://doi.org/10.1088/1748-9326/aa572e |
container_title |
Environmental Research Letters |
container_volume |
12 |
container_issue |
2 |
container_start_page |
025003 |
_version_ |
1776198001457364992 |