Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019
This data set contains remote sensing imagery collected using uncrewed aerial vehicles at a series of fire perimeters in larch forests located in northeastern Siberia in 2018 and 2019. Images were collected using visible sensors (blue, green, and red wavelengths) and multispectral sensors (green, re...
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Arctic Data Center
2020
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Online Access: | https://doi.org/10.18739/A2ZC7RV6H |
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dataone:doi:10.18739/A2ZC7RV6H 2024-06-03T18:46:40+00:00 Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 Michael Loranty Elena Forbath Anna Talucci Heather Alexander Jennie DeMarco Rebecca Hewitt Jeremy Lichstein Michelle Mack Alison Paulson Ryan McEwan Data were collected at a series of fire perimeters located in the general vicinity of the town of Cherskiy in northeastern Siberia. ENVELOPE(160.2,162.5,68.9,67.7) BEGINDATE: 2018-01-01T00:00:00Z ENDDATE: 2019-01-01T00:00:00Z 2020-01-01T00:00:00Z https://doi.org/10.18739/A2ZC7RV6H unknown Arctic Data Center FORESTS FIRE ECOLOGY VEGETATION COVER VEGETATION INDEX REMOTE SENSING UAV Dataset 2020 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2ZC7RV6H 2024-06-03T18:16:43Z This data set contains remote sensing imagery collected using uncrewed aerial vehicles at a series of fire perimeters in larch forests located in northeastern Siberia in 2018 and 2019. Images were collected using visible sensors (blue, green, and red wavelengths) and multispectral sensors (green, red, red-edge, and near-infrared wavelengths). The data were collected perpendicular to fire perimeter boundaries in order to characterize variation vegetation composition and structure between burned and burned forests, and as a function of distance from the unburned forest edge. The resulting images are co-located with field observations of ecosystem properties collected as part of this project that are posted in a related data set (Alexander et al, 2018). Heather Alexander, Jennie DeMarco, Rebecca Hewitt, Jeremy Lichstein, Michael Loranty, et al. 2018. Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, June-July 2018. Arctic Data Center. urn:uuid:a5de1514-78d3-449f-aad1-2ff8f8d0fb27. Dataset Arctic Cherskiy Siberia Arctic Data Center (via DataONE) Arctic Cherskiy ENVELOPE(161.332,161.332,68.753,68.753) Jeremy ENVELOPE(-68.838,-68.838,-69.402,-69.402) ENVELOPE(160.2,162.5,68.9,67.7) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
FORESTS FIRE ECOLOGY VEGETATION COVER VEGETATION INDEX REMOTE SENSING UAV |
spellingShingle |
FORESTS FIRE ECOLOGY VEGETATION COVER VEGETATION INDEX REMOTE SENSING UAV Michael Loranty Elena Forbath Anna Talucci Heather Alexander Jennie DeMarco Rebecca Hewitt Jeremy Lichstein Michelle Mack Alison Paulson Ryan McEwan Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 |
topic_facet |
FORESTS FIRE ECOLOGY VEGETATION COVER VEGETATION INDEX REMOTE SENSING UAV |
description |
This data set contains remote sensing imagery collected using uncrewed aerial vehicles at a series of fire perimeters in larch forests located in northeastern Siberia in 2018 and 2019. Images were collected using visible sensors (blue, green, and red wavelengths) and multispectral sensors (green, red, red-edge, and near-infrared wavelengths). The data were collected perpendicular to fire perimeter boundaries in order to characterize variation vegetation composition and structure between burned and burned forests, and as a function of distance from the unburned forest edge. The resulting images are co-located with field observations of ecosystem properties collected as part of this project that are posted in a related data set (Alexander et al, 2018). Heather Alexander, Jennie DeMarco, Rebecca Hewitt, Jeremy Lichstein, Michael Loranty, et al. 2018. Fire influences on forest recovery and associated climate feedbacks in Siberian Larch Forests, Russia, June-July 2018. Arctic Data Center. urn:uuid:a5de1514-78d3-449f-aad1-2ff8f8d0fb27. |
format |
Dataset |
author |
Michael Loranty Elena Forbath Anna Talucci Heather Alexander Jennie DeMarco Rebecca Hewitt Jeremy Lichstein Michelle Mack Alison Paulson Ryan McEwan |
author_facet |
Michael Loranty Elena Forbath Anna Talucci Heather Alexander Jennie DeMarco Rebecca Hewitt Jeremy Lichstein Michelle Mack Alison Paulson Ryan McEwan |
author_sort |
Michael Loranty |
title |
Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 |
title_short |
Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 |
title_full |
Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 |
title_fullStr |
Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 |
title_full_unstemmed |
Uncrewed aerial vehicle remote sensing imagery of postfire vegetation in Siberian larch forests 2018-2019 |
title_sort |
uncrewed aerial vehicle remote sensing imagery of postfire vegetation in siberian larch forests 2018-2019 |
publisher |
Arctic Data Center |
publishDate |
2020 |
url |
https://doi.org/10.18739/A2ZC7RV6H |
op_coverage |
Data were collected at a series of fire perimeters located in the general vicinity of the town of Cherskiy in northeastern Siberia. ENVELOPE(160.2,162.5,68.9,67.7) BEGINDATE: 2018-01-01T00:00:00Z ENDDATE: 2019-01-01T00:00:00Z |
long_lat |
ENVELOPE(161.332,161.332,68.753,68.753) ENVELOPE(-68.838,-68.838,-69.402,-69.402) ENVELOPE(160.2,162.5,68.9,67.7) |
geographic |
Arctic Cherskiy Jeremy |
geographic_facet |
Arctic Cherskiy Jeremy |
genre |
Arctic Cherskiy Siberia |
genre_facet |
Arctic Cherskiy Siberia |
op_doi |
https://doi.org/10.18739/A2ZC7RV6H |
_version_ |
1800869639928938496 |