Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR

Preprocessed data of permanent (year 2016) FAPAR observations (two-, three- and four-flux) using Wireless Sensor Networks (WSNs) and observations of wind speed, leaf color, snow coverage and season at three forest sites: The North American "Peace River Environmental Monitoring Super Site"...

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Bibliographic Details
Main Authors: Putzenlechner, Birgitta, Marzahn, Philip, Sanchez-Azofeifa, Arturo G.
Format: Dataset
Language:unknown
Published: Harvard Dataverse 2020
Subjects:
Online Access:https://dx.doi.org/10.7910/dvn/iyi4oo
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IYI4OO
id ftdatacite:10.7910/dvn/iyi4oo
record_format openpolar
spelling ftdatacite:10.7910/dvn/iyi4oo 2023-05-15T17:54:48+02:00 Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR Putzenlechner, Birgitta Marzahn, Philip Sanchez-Azofeifa, Arturo G. 2020 https://dx.doi.org/10.7910/dvn/iyi4oo https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IYI4OO unknown Harvard Dataverse https://dx.doi.org/10.7910/dvn/iyi4oo/ijjzth https://dx.doi.org/10.7910/dvn/iyi4oo/ss66fv https://dx.doi.org/10.7910/dvn/iyi4oo/ccwvqa dataset Dataset 2020 ftdatacite https://doi.org/10.7910/dvn/iyi4oo https://doi.org/10.7910/dvn/iyi4oo/ijjzth https://doi.org/10.7910/dvn/iyi4oo/ss66fv https://doi.org/10.7910/dvn/iyi4oo/ccwvqa 2021-11-05T12:55:41Z Preprocessed data of permanent (year 2016) FAPAR observations (two-, three- and four-flux) using Wireless Sensor Networks (WSNs) and observations of wind speed, leaf color, snow coverage and season at three forest sites: The North American "Peace River Environmental Monitoring Super Site" ("Peace River") in Northern Alberta, Canada with a boreal-deciduous forest; the Central American "Santa Rosa National Park Environmental Monitoring Super Site" ("Santa Rosa") in Guanacaste, Costa Rica with a tropical dry forest (TDF); the Central European site "Graswang" as part of the TERENO network (Terrestrial Environmental Observatories) at Graswang in Bavaria, Germany with a mixed-coniferous forest. Dataset Peace River DataCite Metadata Store (German National Library of Science and Technology) Canada
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Preprocessed data of permanent (year 2016) FAPAR observations (two-, three- and four-flux) using Wireless Sensor Networks (WSNs) and observations of wind speed, leaf color, snow coverage and season at three forest sites: The North American "Peace River Environmental Monitoring Super Site" ("Peace River") in Northern Alberta, Canada with a boreal-deciduous forest; the Central American "Santa Rosa National Park Environmental Monitoring Super Site" ("Santa Rosa") in Guanacaste, Costa Rica with a tropical dry forest (TDF); the Central European site "Graswang" as part of the TERENO network (Terrestrial Environmental Observatories) at Graswang in Bavaria, Germany with a mixed-coniferous forest.
format Dataset
author Putzenlechner, Birgitta
Marzahn, Philip
Sanchez-Azofeifa, Arturo G.
spellingShingle Putzenlechner, Birgitta
Marzahn, Philip
Sanchez-Azofeifa, Arturo G.
Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR
author_facet Putzenlechner, Birgitta
Marzahn, Philip
Sanchez-Azofeifa, Arturo G.
author_sort Putzenlechner, Birgitta
title Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR
title_short Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR
title_full Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR
title_fullStr Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR
title_full_unstemmed Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR
title_sort replication data for: accuracy assessment on the number of flux terms needed to estimate in situ fapar
publisher Harvard Dataverse
publishDate 2020
url https://dx.doi.org/10.7910/dvn/iyi4oo
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IYI4OO
geographic Canada
geographic_facet Canada
genre Peace River
genre_facet Peace River
op_relation https://dx.doi.org/10.7910/dvn/iyi4oo/ijjzth
https://dx.doi.org/10.7910/dvn/iyi4oo/ss66fv
https://dx.doi.org/10.7910/dvn/iyi4oo/ccwvqa
op_doi https://doi.org/10.7910/dvn/iyi4oo
https://doi.org/10.7910/dvn/iyi4oo/ijjzth
https://doi.org/10.7910/dvn/iyi4oo/ss66fv
https://doi.org/10.7910/dvn/iyi4oo/ccwvqa
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