Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ...
This dataset contains RGB photographs acquired from drone surveys. There are 741 harvest plots from 38 surveys at 36 sites around the world. Each site was approximately 1 ha in area. Included with the photographic images are the coordinates of ground control markers, biomass, taxonomic and location...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Language: | English |
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NERC EDS Environmental Information Data Centre
2020
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Online Access: | https://dx.doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a103853424 https://catalogue.ceh.ac.uk/id/1ec13364-cbc6-4ab5-a147-45a103853424 |
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ftdatacite:10.5285/1ec13364-cbc6-4ab5-a147-45a103853424 |
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ftdatacite:10.5285/1ec13364-cbc6-4ab5-a147-45a103853424 2024-01-28T10:04:20+01:00 Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... Cunliffe, A. Anderson, K. Boschetti, F. Graham, H. Brazier, R. Myers-Smith, I. Astor, T. Boer, M. Calvo, L. Clark, P. Cramer, M. Encinas-Lara, M. Escarzaga, S. Fernández-Guisuraga, J. Fisher, A. Gdulová, K. Gillespie, B. Griebel, A. Hanan, N. Hanggito, M. Haselberger, S. Havrilla, C. Ji, W. Karl, J. Kirchhoff, M. Kraushaar, S. Lyons, M. Marzolff, I. Mauritz, M. McIntire, C. Metzen, D. Méndez-Barroso, L. Power, S. Prošek, J. Sanz-Ablanedo, E. Sauer, K. Schulze-Brüninghoff, D. Šímová, P. Smit, J. Steele, C. Suárez-Seoane, S. Tweedie, C. Vargas, S. Villarreal, M. Visser, F. Wachendorf, M. Wirnsberger, H. Wojcikiewicz, R. 2020 text/csv Comma-separated values (CSV) image/tiff TIFF image JPEG https://dx.doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a103853424 https://catalogue.ceh.ac.uk/id/1ec13364-cbc6-4ab5-a147-45a103853424 en eng NERC EDS Environmental Information Data Centre https://data-package.ceh.ac.uk/sd/1ec13364-cbc6-4ab5-a147-45a103853424.zip https://data-package.ceh.ac.uk/sd/1ec13364-cbc6-4ab5-a147-45a103853424.zip https://dx.doi.org/10.1101/2020.07.16.206011 Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ ogl-uk-3.0 Environmental survey Salix richardsonii Artemisia nova Gutierrezia sarothrae Achnatherum nelsonii Artemisia tridentata Rumex obtusifolius Trifolium repens Festuca rubra Pseudoroegneria spicata Pteridium aquilinum Ulex gallii Calluna vulgaris Bouteloua eriopoda Yucca glauca Larrea tridentata Juniperus monosperma Elytropappus rhinocerotis Pteronia paniculata Adenostoma fasciculatum Adenostoma sparsifolium Cytisus oromediterraneus Vaccinium myrtillus Artemisia arbuscula Nardus stricta Achnatherum thurberianum Eriogonum heracleoides Symphoricarpos oreophilus Arctophila fulva Cirsium spinosissimum Prunus spinosa Opuntia phaeacantha Pinus edulis Prosopis glandulosa Atriplex canescens Pleuraphis mutica Flourensia cernua Eragrostis curvula Bothriochloa macra Nassella trichotoma Ericameria nauseosa Atriplex polycarpa Prosopis velutina Launaea arborescens Festuca idahoensis Bromus marginatus Cylindropuntia imbricata Crataegus spp. Juncus spp. Dataset dataset 2020 ftdatacite https://doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a10385342410.1101/2020.07.16.206011 2024-01-04T16:09:30Z This dataset contains RGB photographs acquired from drone surveys. There are 741 harvest plots from 38 surveys at 36 sites around the world. Each site was approximately 1 ha in area. Included with the photographic images are the coordinates of ground control markers, biomass, taxonomic and location data for harvest plots and ancillary metadata. The observations can be used to obtain allometric size-biomass models. This work was supported by the Natural Environment Research Council award number NE/R00062X/1 as part of the project 'Do dryland ecosystems control variability and recent trends in the land CO2 sink?' ... : These datasets were collected using a standardised sampling protocol during peak biomass by multiple teams using different equipment. Datasets have been reviewed and further details are available in the supporting documentation. Further information on the collection and processing of these data are given in Cunliffe et al. ‘Drone photogrammetry-derived canopy height predicts aboveground biomass across non-forest ecosystems’ (In Press) and the accompanying supplementary materials. ... Dataset Arctophila fulva DataCite Metadata Store (German National Library of Science and Technology) Larrea ENVELOPE(-62.000,-62.000,-62.833,-62.833) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Environmental survey Salix richardsonii Artemisia nova Gutierrezia sarothrae Achnatherum nelsonii Artemisia tridentata Rumex obtusifolius Trifolium repens Festuca rubra Pseudoroegneria spicata Pteridium aquilinum Ulex gallii Calluna vulgaris Bouteloua eriopoda Yucca glauca Larrea tridentata Juniperus monosperma Elytropappus rhinocerotis Pteronia paniculata Adenostoma fasciculatum Adenostoma sparsifolium Cytisus oromediterraneus Vaccinium myrtillus Artemisia arbuscula Nardus stricta Achnatherum thurberianum Eriogonum heracleoides Symphoricarpos oreophilus Arctophila fulva Cirsium spinosissimum Prunus spinosa Opuntia phaeacantha Pinus edulis Prosopis glandulosa Atriplex canescens Pleuraphis mutica Flourensia cernua Eragrostis curvula Bothriochloa macra Nassella trichotoma Ericameria nauseosa Atriplex polycarpa Prosopis velutina Launaea arborescens Festuca idahoensis Bromus marginatus Cylindropuntia imbricata Crataegus spp. Juncus spp. |
spellingShingle |
Environmental survey Salix richardsonii Artemisia nova Gutierrezia sarothrae Achnatherum nelsonii Artemisia tridentata Rumex obtusifolius Trifolium repens Festuca rubra Pseudoroegneria spicata Pteridium aquilinum Ulex gallii Calluna vulgaris Bouteloua eriopoda Yucca glauca Larrea tridentata Juniperus monosperma Elytropappus rhinocerotis Pteronia paniculata Adenostoma fasciculatum Adenostoma sparsifolium Cytisus oromediterraneus Vaccinium myrtillus Artemisia arbuscula Nardus stricta Achnatherum thurberianum Eriogonum heracleoides Symphoricarpos oreophilus Arctophila fulva Cirsium spinosissimum Prunus spinosa Opuntia phaeacantha Pinus edulis Prosopis glandulosa Atriplex canescens Pleuraphis mutica Flourensia cernua Eragrostis curvula Bothriochloa macra Nassella trichotoma Ericameria nauseosa Atriplex polycarpa Prosopis velutina Launaea arborescens Festuca idahoensis Bromus marginatus Cylindropuntia imbricata Crataegus spp. Juncus spp. Cunliffe, A. Anderson, K. Boschetti, F. Graham, H. Brazier, R. Myers-Smith, I. Astor, T. Boer, M. Calvo, L. Clark, P. Cramer, M. Encinas-Lara, M. Escarzaga, S. Fernández-Guisuraga, J. Fisher, A. Gdulová, K. Gillespie, B. Griebel, A. Hanan, N. Hanggito, M. Haselberger, S. Havrilla, C. Ji, W. Karl, J. Kirchhoff, M. Kraushaar, S. Lyons, M. Marzolff, I. Mauritz, M. McIntire, C. Metzen, D. Méndez-Barroso, L. Power, S. Prošek, J. Sanz-Ablanedo, E. Sauer, K. Schulze-Brüninghoff, D. Šímová, P. Smit, J. Steele, C. Suárez-Seoane, S. Tweedie, C. Vargas, S. Villarreal, M. Visser, F. Wachendorf, M. Wirnsberger, H. Wojcikiewicz, R. Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
topic_facet |
Environmental survey Salix richardsonii Artemisia nova Gutierrezia sarothrae Achnatherum nelsonii Artemisia tridentata Rumex obtusifolius Trifolium repens Festuca rubra Pseudoroegneria spicata Pteridium aquilinum Ulex gallii Calluna vulgaris Bouteloua eriopoda Yucca glauca Larrea tridentata Juniperus monosperma Elytropappus rhinocerotis Pteronia paniculata Adenostoma fasciculatum Adenostoma sparsifolium Cytisus oromediterraneus Vaccinium myrtillus Artemisia arbuscula Nardus stricta Achnatherum thurberianum Eriogonum heracleoides Symphoricarpos oreophilus Arctophila fulva Cirsium spinosissimum Prunus spinosa Opuntia phaeacantha Pinus edulis Prosopis glandulosa Atriplex canescens Pleuraphis mutica Flourensia cernua Eragrostis curvula Bothriochloa macra Nassella trichotoma Ericameria nauseosa Atriplex polycarpa Prosopis velutina Launaea arborescens Festuca idahoensis Bromus marginatus Cylindropuntia imbricata Crataegus spp. Juncus spp. |
description |
This dataset contains RGB photographs acquired from drone surveys. There are 741 harvest plots from 38 surveys at 36 sites around the world. Each site was approximately 1 ha in area. Included with the photographic images are the coordinates of ground control markers, biomass, taxonomic and location data for harvest plots and ancillary metadata. The observations can be used to obtain allometric size-biomass models. This work was supported by the Natural Environment Research Council award number NE/R00062X/1 as part of the project 'Do dryland ecosystems control variability and recent trends in the land CO2 sink?' ... : These datasets were collected using a standardised sampling protocol during peak biomass by multiple teams using different equipment. Datasets have been reviewed and further details are available in the supporting documentation. Further information on the collection and processing of these data are given in Cunliffe et al. ‘Drone photogrammetry-derived canopy height predicts aboveground biomass across non-forest ecosystems’ (In Press) and the accompanying supplementary materials. ... |
format |
Dataset |
author |
Cunliffe, A. Anderson, K. Boschetti, F. Graham, H. Brazier, R. Myers-Smith, I. Astor, T. Boer, M. Calvo, L. Clark, P. Cramer, M. Encinas-Lara, M. Escarzaga, S. Fernández-Guisuraga, J. Fisher, A. Gdulová, K. Gillespie, B. Griebel, A. Hanan, N. Hanggito, M. Haselberger, S. Havrilla, C. Ji, W. Karl, J. Kirchhoff, M. Kraushaar, S. Lyons, M. Marzolff, I. Mauritz, M. McIntire, C. Metzen, D. Méndez-Barroso, L. Power, S. Prošek, J. Sanz-Ablanedo, E. Sauer, K. Schulze-Brüninghoff, D. Šímová, P. Smit, J. Steele, C. Suárez-Seoane, S. Tweedie, C. Vargas, S. Villarreal, M. Visser, F. Wachendorf, M. Wirnsberger, H. Wojcikiewicz, R. |
author_facet |
Cunliffe, A. Anderson, K. Boschetti, F. Graham, H. Brazier, R. Myers-Smith, I. Astor, T. Boer, M. Calvo, L. Clark, P. Cramer, M. Encinas-Lara, M. Escarzaga, S. Fernández-Guisuraga, J. Fisher, A. Gdulová, K. Gillespie, B. Griebel, A. Hanan, N. Hanggito, M. Haselberger, S. Havrilla, C. Ji, W. Karl, J. Kirchhoff, M. Kraushaar, S. Lyons, M. Marzolff, I. Mauritz, M. McIntire, C. Metzen, D. Méndez-Barroso, L. Power, S. Prošek, J. Sanz-Ablanedo, E. Sauer, K. Schulze-Brüninghoff, D. Šímová, P. Smit, J. Steele, C. Suárez-Seoane, S. Tweedie, C. Vargas, S. Villarreal, M. Visser, F. Wachendorf, M. Wirnsberger, H. Wojcikiewicz, R. |
author_sort |
Cunliffe, A. |
title |
Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
title_short |
Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
title_full |
Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
title_fullStr |
Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
title_full_unstemmed |
Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
title_sort |
allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020 ... |
publisher |
NERC EDS Environmental Information Data Centre |
publishDate |
2020 |
url |
https://dx.doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a103853424 https://catalogue.ceh.ac.uk/id/1ec13364-cbc6-4ab5-a147-45a103853424 |
long_lat |
ENVELOPE(-62.000,-62.000,-62.833,-62.833) |
geographic |
Larrea |
geographic_facet |
Larrea |
genre |
Arctophila fulva |
genre_facet |
Arctophila fulva |
op_relation |
https://data-package.ceh.ac.uk/sd/1ec13364-cbc6-4ab5-a147-45a103853424.zip https://data-package.ceh.ac.uk/sd/1ec13364-cbc6-4ab5-a147-45a103853424.zip https://dx.doi.org/10.1101/2020.07.16.206011 |
op_rights |
Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ ogl-uk-3.0 |
op_doi |
https://doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a10385342410.1101/2020.07.16.206011 |
_version_ |
1789329970155225088 |