Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019
Arctic landscapes are rapidly changing with climate warming. Vegetation communities are restructuring, which in turn impacts wildlife, permafrost, carbon cycling and climate feedbacks. Accurately monitoring vegetation change is thus crucial, but notable mismatches in scale occur between current fiel...
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Arctic Data Center
2022
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dataone:urn:uuid:243d50f8-02df-4aff-a4fe-39b212117ad1 2024-06-03T18:46:31+00:00 Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 Kathleen Orndahl Central and northern Alaska, northwest Canada – primarily alpine and arctic tundra ENVELOPE(-148.35403,-136.05113,69.47969,62.72937) BEGINDATE: 2018-01-01T00:00:00Z ENDDATE: 2019-01-01T00:00:00Z 2022-01-01T00:00:00Z https://search.dataone.org/view/urn:uuid:243d50f8-02df-4aff-a4fe-39b212117ad1 unknown Arctic Data Center Arctic tundra vegetation mapping aboveground biomass drones UAV structure from motion top cover Dataset 2022 dataone:urn:node:ARCTIC 2024-06-03T18:18:20Z Arctic landscapes are rapidly changing with climate warming. Vegetation communities are restructuring, which in turn impacts wildlife, permafrost, carbon cycling and climate feedbacks. Accurately monitoring vegetation change is thus crucial, but notable mismatches in scale occur between current field and satellite-based monitoring. Remote sensing from unmanned aerial vehicles (UAVs) has emerged as a bridge between field data and satellite imagery mapping. In this work we assess the viability of using high resolution UAV imagery (RGB and multispectral), along with UAV derived Structure from Motion (SfM) to predict cover, height and above-ground biomass of common Arctic plant functional types (PFTs) across a wide range of vegetation community types. We collected field data and UAV imagery from 45 sites across Alaska and northwest Canada. We then classified UAV imagery by PFT, estimated cover and height, and modeled biomass from UAV-derived volume estimates. Here we present datasets summarizing this data. Dataset Arctic permafrost Tundra Alaska Arctic Data Center (via DataONE) Arctic Canada ENVELOPE(-148.35403,-136.05113,69.47969,62.72937) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
Arctic tundra vegetation mapping aboveground biomass drones UAV structure from motion top cover |
spellingShingle |
Arctic tundra vegetation mapping aboveground biomass drones UAV structure from motion top cover Kathleen Orndahl Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 |
topic_facet |
Arctic tundra vegetation mapping aboveground biomass drones UAV structure from motion top cover |
description |
Arctic landscapes are rapidly changing with climate warming. Vegetation communities are restructuring, which in turn impacts wildlife, permafrost, carbon cycling and climate feedbacks. Accurately monitoring vegetation change is thus crucial, but notable mismatches in scale occur between current field and satellite-based monitoring. Remote sensing from unmanned aerial vehicles (UAVs) has emerged as a bridge between field data and satellite imagery mapping. In this work we assess the viability of using high resolution UAV imagery (RGB and multispectral), along with UAV derived Structure from Motion (SfM) to predict cover, height and above-ground biomass of common Arctic plant functional types (PFTs) across a wide range of vegetation community types. We collected field data and UAV imagery from 45 sites across Alaska and northwest Canada. We then classified UAV imagery by PFT, estimated cover and height, and modeled biomass from UAV-derived volume estimates. Here we present datasets summarizing this data. |
format |
Dataset |
author |
Kathleen Orndahl |
author_facet |
Kathleen Orndahl |
author_sort |
Kathleen Orndahl |
title |
Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 |
title_short |
Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 |
title_full |
Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 |
title_fullStr |
Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 |
title_full_unstemmed |
Mapping tundra ecosystem plant functional type cover, height and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles, 2018-2019 |
title_sort |
mapping tundra ecosystem plant functional type cover, height and aboveground biomass in alaska and northwest canada using unmanned aerial vehicles, 2018-2019 |
publisher |
Arctic Data Center |
publishDate |
2022 |
url |
https://search.dataone.org/view/urn:uuid:243d50f8-02df-4aff-a4fe-39b212117ad1 |
op_coverage |
Central and northern Alaska, northwest Canada – primarily alpine and arctic tundra ENVELOPE(-148.35403,-136.05113,69.47969,62.72937) BEGINDATE: 2018-01-01T00:00:00Z ENDDATE: 2019-01-01T00:00:00Z |
long_lat |
ENVELOPE(-148.35403,-136.05113,69.47969,62.72937) |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic permafrost Tundra Alaska |
genre_facet |
Arctic permafrost Tundra Alaska |
_version_ |
1800867113935568896 |