Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020
Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from August 2019-December 2020. We provide daily averaged vegetation indices for a mix of understory lichen and moss species in a black spruce dominated forest. We compute near-infrared vegetation index (NIRv), normalized...
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ftdatacite:10.5281/zenodo.5806488 2023-05-15T18:40:17+02:00 Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 Pierrat, Zoe Magney, Troy Stutz, Jochen 2021 https://dx.doi.org/10.5281/zenodo.5806488 https://zenodo.org/record/5806488 en eng Zenodo https://dx.doi.org/10.5281/zenodo.5806487 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY remote-sensing, vegetation reflectance, tundra ecosystems, time series, diurnal dynamics dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5806488 https://doi.org/10.5281/zenodo.5806487 2022-02-08T18:05:28Z Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from August 2019-December 2020. We provide daily averaged vegetation indices for a mix of understory lichen and moss species in a black spruce dominated forest. We compute near-infrared vegetation index (NIRv), normalized difference vegetation index (NDVI), photochemical reflectance index (PRI), and chlorophyll-carotenoid index (CCI) averaged for three understory targets at NEON Delta Junction. We also provide daily averaged photosynthetically active radiation (PAR) and solar zenith angle (SZA). Finally, we provide the average diurnal profiles of all the aforementioned metrics for 4 20-day windows in winter, spring, summer, and fall. Dataset Tundra Alaska DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
remote-sensing, vegetation reflectance, tundra ecosystems, time series, diurnal dynamics |
spellingShingle |
remote-sensing, vegetation reflectance, tundra ecosystems, time series, diurnal dynamics Pierrat, Zoe Magney, Troy Stutz, Jochen Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 |
topic_facet |
remote-sensing, vegetation reflectance, tundra ecosystems, time series, diurnal dynamics |
description |
Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from August 2019-December 2020. We provide daily averaged vegetation indices for a mix of understory lichen and moss species in a black spruce dominated forest. We compute near-infrared vegetation index (NIRv), normalized difference vegetation index (NDVI), photochemical reflectance index (PRI), and chlorophyll-carotenoid index (CCI) averaged for three understory targets at NEON Delta Junction. We also provide daily averaged photosynthetically active radiation (PAR) and solar zenith angle (SZA). Finally, we provide the average diurnal profiles of all the aforementioned metrics for 4 20-day windows in winter, spring, summer, and fall. |
format |
Dataset |
author |
Pierrat, Zoe Magney, Troy Stutz, Jochen |
author_facet |
Pierrat, Zoe Magney, Troy Stutz, Jochen |
author_sort |
Pierrat, Zoe |
title |
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 |
title_short |
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 |
title_full |
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 |
title_fullStr |
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 |
title_full_unstemmed |
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020 |
title_sort |
tower-based remote sensing data for understory vegetation at delta junction, alaska 2019-2020 |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5806488 https://zenodo.org/record/5806488 |
genre |
Tundra Alaska |
genre_facet |
Tundra Alaska |
op_relation |
https://dx.doi.org/10.5281/zenodo.5806487 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.5806488 https://doi.org/10.5281/zenodo.5806487 |
_version_ |
1766229577587228672 |