{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"6a434f4e-775c-4d49-9c59-a57f2e572f75","name":"data-demography-drones-detecting-growth-and-survival-shrubs-unoccupied-aerial-systems","title":"Data from: Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems","author":"Peter J Olsoy, Andrii Zaiats, Donna Delparte, Matthew J Germino, Bryce A Richardson, Anna V Roser, Jennifer Sorenson Forbey, Megan E Cattau, T Trevor Caughlin","author_email":"peter.olsoy@usda.gov","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","license_title":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","notes":"\u003Cp\u003ELarge-scale disturbances, such as megafires, motivate restoration at equally large extents. Measuring the survival and growth of individual plants plays a key role in current efforts to monitor restoration success. However, the scale of modern restoration (e.g., \u0026gt;10,000 ha) challenges measurements of demographic rates with field data. In this study, we demonstrate how unoccupied aerial system (UAS) flights can provide an efficient solution to the tradeoff of precision and spatial extent in detecting demographic rates from the air. We flew two, sequential UAS flights at two sagebrush (Artemisia tridentata) common gardens to measure the survival and growth of individual plants. The accuracy of Bayesian-optimized segmentation of individual shrub canopies was high (73\u201395%, depending on the year and site), and remotely sensed survival estimates were within 10% of ground-truthed survival censuses. Stand age structure affected remotely sensed estimates of growth; growth was overestimated relative to field-based estimates by 57% in the first garden with older stands, but agreement was high in the second garden with younger stands. Further, younger stands (similar to those just after disturbance) with shorter, smaller plants were sometimes confused with other shrub species and bunchgrasses, demonstrating a need for integrating spectral classification approaches that are increasingly available on affordable UAS platforms. The older stand had several merged canopies, which led to an underestimation of abundance but did not bias remotely sensed survival estimates. Advances in segmentation and UAS structure from motion photogrammetry will enable demographic rate measurements at management-relevant extents.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EData Use\u003C\/strong\u003E\u003Cbr \/\u003E\n\u003Cem\u003ELicense\u003C\/em\u003E:\u003Cbr \/\u003E\nCreative Commons Attribution 4.0 License (\u003Ca href=\u0022https:\/\/creativecommons.org\/licenses\/by\/4.0\/\u0022\u003ECC-BY 4.0\u003C\/a\u003E)\u003Cbr \/\u003E\n\u003Cem\u003ERecommended Citation\u003C\/em\u003E:\u003Cbr \/\u003E\nOlsoy PJ, Zaiats A, Delparte DM, Germino MJ, Richardson BA, Roser AV, Forbey JS, Cattau ME, Caughlin TT. 2023. Data from: Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems [Dataset]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/xj7r-1d86\u0022\u003Ehttps:\/\/doi.org\/10.7923\/xj7r-1d86\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EFunding\u003C\/strong\u003E\u003Cbr \/\u003E\nUS National Science Foundation and Idaho EPSCoR: OIA-1757324\u003Cbr \/\u003E\nUS National Science Foundation and Idaho EPSCoR: OIA-1826801\u003Cbr \/\u003E\nUS National Science Foundation: BIO-2207158\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EAncillary Data Sets\u003C\/strong\u003E\u003Cbr \/\u003E\nOlsoy P, Zaiats A, Delparte D, Roop S, Roser A, Caughlin TT. 2022. Data from: High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/B68T-2S83\u0022\u003Ehttps:\/\/doi.org\/10.7923\/B68T-2S83\u003C\/a\u003E\u003C\/p\u003E\n","url":"https:\/\/data.nkn.uidaho.edu\/dataset\/data-demography-drones-detecting-growth-and-survival-shrubs-unoccupied-aerial-systems","state":"Active","log_message":"Edited by awchild.","private":true,"revision_timestamp":"Mon, 01\/08\/2024 - 14:25","metadata_created":"Tue, 09\/19\/2023 - 14:05","metadata_modified":"Mon, 01\/08\/2024 - 14:25","creator_user_id":"6cc16f2c-77c2-4d12-ac06-56bbb86b535b","type":"Dataset","resources":[{"id":"252c3c78-1d8c-423a-a14c-ea53cb578dea","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/6a434f4e-775c-4d49-9c59-a57f2e572f75","description":"","format":"WAF","state":"Active","revision_timestamp":"Mon, 01\/08\/2024 - 10:26","name":"Data Access | Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems (file explorer)","mimetype":"WAF","size":"","created":"Tue, 09\/19\/2023 - 14:22","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed  Mon, 01\/08\/2024 - 10:26"},{"id":"7ea6a0d0-73e0-4a6a-bb19-0d9165d768e8","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/6a434f4e-775c-4d49-9c59-a57f2e572f75\/readme.txt","description":"","format":"txt","state":"Active","revision_timestamp":"Mon, 01\/08\/2024 - 10:27","name":"Metadata Access | Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems (readme.txt)","mimetype":"txt","size":"","created":"Tue, 09\/19\/2023 - 14:24","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed  Mon, 01\/08\/2024 - 10:27"},{"id":"ce8fc1e7-412e-425a-9be0-abfe033d5b38","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/6a434f4e-775c-4d49-9c59-a57f2e572f75\/xj7r-1d86.xml","description":"","format":"xml","state":"Active","revision_timestamp":"Mon, 01\/08\/2024 - 10:27","name":"Metadata Access | Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems (DataCite xml)","mimetype":"xml","size":"","created":"Tue, 09\/19\/2023 - 14:25","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed  Mon, 01\/08\/2024 - 10:27"}],"tags":[{"id":"9d5ec6b9-6f00-4d93-91af-3326069cc7c8","vocabulary_id":"2","name":"plant demography"},{"id":"a9c3998c-c114-453e-9100-8b112f7cc245","vocabulary_id":"2","name":"segmentation"},{"id":"15630280-92f9-415b-967a-1a7440d4fd2f","vocabulary_id":"2","name":"unoccupied aerial systems (UAS)"},{"id":"127bde05-e87e-4131-8f5b-f4ce08c506c0","vocabulary_id":"2","name":"drones"},{"id":"bfd62175-0785-4c6b-ad66-b98ab6501123","vocabulary_id":"2","name":"Artemisia tridentata (sagebrush)"},{"id":"44cc7a02-8341-4b47-8b66-57351ac349aa","vocabulary_id":"2","name":"stand age structure"},{"id":"654b4dce-8d42-4b28-8e73-0c648510a419","vocabulary_id":"2","name":"structure from motion photogrammetry"},{"id":"1f5cb421-8adc-430c-bb27-a3f8283dafbd","vocabulary_id":"2","name":"UAS"}],"groups":[{"description":"\u003Cp\u003EBoise State University is a Carnegie-classified doctoral research university and our students have opportunities to work with talented and accomplished faculty on research, even as undergraduates.  Our students go into the workforce better prepared, with expertise outside of their major by taking advantage of opportunities such as certificates in business anthropology, entrepreneurship, or cybersecurity.  \u003C\/p\u003E\n\u003Cp\u003ELearn more at \u003Ca href=\u0022https:\/\/www.boisestate.edu\/\u0022\u003Ehttps:\/\/www.boisestate.edu\/\u003C\/a\u003E\u003C\/p\u003E\n","id":"bff301ea-b742-427b-954e-e6a326c2ea45","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/bsu_logo.jpg","title":"Boise State University","name":"group\/boise-state-university"},{"description":"\u003Cp\u003EThe primary objective of Idaho EPSCoR is to stimulate research in niche areas that can become fully competitive in the disciplinary and multidisciplinary research programs of the National Science Foundation and other relevant agencies. Idaho EPSCoR provides support for sustainable increases in Research and Development capacity and advances science and engineering capabilities within the state. \u003C\/p\u003E\n\u003Cp\u003EVisit them at \u003Ca href=\u0022https:\/\/www.idahoepscor.org\u0022\u003Ehttps:\/\/www.idahoepscor.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/Idaho_epscor_logo_no_white_background.png","title":"Idaho EPSCoR","name":"group\/idaho-epscor"},{"description":"\u003Cp\u003EGEM3 is an NSF EPSCoR research program seeking to understand how genetic diversity and phenotypic plasticity affect species response to environmental change, shaping both population response and adaptive capacity.\u003C\/p\u003E\n\u003Cp\u003EVisit them at: \u003Ca href=\u0022https:\/\/www.idahogem3.org\u0022\u003Ehttps:\/\/www.idahogem3.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"1812a312-11a4-492d-960b-9a78b4abfe0c","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/GEM3_nov5_logo.png","title":"EPSCoR GEM3","name":"group\/epscor-gem3"}]}]}<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"
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