G2F Maize UAV Data, College Station, Texas 2017

In 2017 the maize Genomes to Fields (G2F; https://www.genomes2fields.org/ ) trials in College Station, Texas, were flown using two separate unmanned aerial systems (UAS, i.e. drones) nearly weekly; one UAS was a rotocopter (DJI Phantom 3 Pro with DJI FC300X 12 MP camera)and the other a fixed wing aircraft (Tuffwing UAV Mapper with 24 MP Sony a6000 or MicaSense RedEdge). The College Station 2017 G2F test consisted of 1500 two row plots (250 genotypes x 3 management environments x 2 replicates). , Readme; Flight dates file; Master note sheet; Field map and agronomic information; GCP coordinates; Shapefiles; Raw images; Flight data; Mosaics; Point Clouds; Digital surface model (DSM); Image processing report

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Autors Ramona L. Walls, Scott Wilde, Nathalia Cruzato, Jinha Jung, Anjin Chang, Steven L. Anderson, Dale Cope, Sorin Popescu, Malambo Lonesome, Seth C. Murray
Versija 1.1
Pēdējā atjaunināšana aprīlis 10, 2026, 23:02 (UTC)
Published aprīlis 8, 2026, 06:59 (UTC)
Citation Ramona L. Walls, Scott Wilde, Nathalia Cruzato, Jinha Jung, Anjin Chang, Steven L. Anderson, Dale Cope, Sorin Popescu, Malambo Lonesome, Seth C. Murray 2019. G2F Maize UAV Data, College Station, Texas 2017. CyVerse Data Commons. DOI 10.25739/4ext-5e97
compressed_data true
contributor Ramona L. Walls, Scott Wilde, Nathalia Cruzato, Jinha Jung, Anjin Chang, Steven L. Anderson, Dale Cope, Sorin Popescu, Malambo Lonesome, Seth C. Murray
de_created_date 2019-02-07T20:59:16Z
de_modified_date 2020-02-20T22:05:33Z
format pdf, tif, zip, laz, shp, xlsx
fundingReference This project was made possible by financial support from USDA-NIFA-AFRI Award No. 2017-67013-26185, USDA-NIFA Hatch funds, Texas A&M AgriLife Research the Texas Corn Producers Board the Iowa Corn Promotion Board and the Eugene Butler Endowed Chair in Biotechnology. , grid.482914.2
geoLocation Texas A&M University Research Farm, FM 60, Burleson County, TX (a.k.a. College Station Farm) - Fields 210, 212, 214
geoLocationPoint 30.546025 -96.432623
identifierType DOI
language en-us
publisher CyVerse Data Commons
relatedIdentifier 10.1186/s13104-018-3508-1, 10.1038/s41467-017-01450-2
resourceType Remote Sensing
reuse_or_citation_conditions Please acknowledge the DOI of this data with any use.