References
- Assmann, JJ, Kerby, JT, Cunliffe, AM and Myers-Smith, IH. 2018.
Vegetation monitoring using multispectral sensors — best practices and lessons learned from high latitudes . Journal of Unmanned Vehicle Systems. Publisher: NRC Research Press. DOI: 10.1101/334730 - Bachmayer, R, Leonard, N, Graver, J, Fiorelli, E, Bhatta, P and Paley, D. 2004. Underwater gliders: recent developments and future applications. In: Proceedings of the 2004 International Symposium on Underwater Technology (
IEEE Cat. No.04EX869 ), pp. 195–200. - Barbieri, L, Kral, ST, Bailey, SCC, Frazier, AE, Jacob, JD, Reuder, J, Brus, D, Chilson, PB, Crick, C, Detweiler, C, Doddi, A, Elston, J, Foroutan, H, González-Rocha, J, Greene, BR, Guzman, MI, Houston, AL, Islam, A, Kemppinen, O, Lawrence, D, Pillar-Little, EA, Ross, SD, Sama, MP, Schmale, DG, Schuyler, TJ, Shankar, A, Smith, SW, Waugh, S, Dixon, C, Borenstein, S and de Boer, G. 2019. Intercomparison of small unmanned aircraft system (suas) measurements for atmospheric science during the lapse-rate campaign. Sensors, 19(9). DOI: 10.3390/s19092179
- Barnas, AF, Chabot, D, Hodgson, AJ, Johnston, DW, Bird, DM and Ellis-Felege, SN. 2020.
A standardized protocol for reporting methods when using drones for wildlife research . Journal of Unmanned Vehicle Systems. Publisher: NRC Research Press. DOI: 10.1139/juvs-2019-0011 - Buttigieg, PL, Morrison, N, Smith, B, Mungall, CJ, Lewis, SE and ENVO Consortium. 2013. The environment ontology: contextualising biological and biomedical entities. J. Biomed. Semantics, 4(1): 43. DOI: 10.1186/2041-1480-4-43
- Gentemann, CL, Scott, JP, Mazzini, PLF, Pianca, C, Akella, S, Minnett, PJ, Cornillon, P, Fox-Kemper, B, Cetinić, I, Chin, TM, Gomez-Valdes, J, Vazquez-Cuervo, J, Tsontos, V, Yu, L, Jenkins, R, Halleux, SD, Peacock, D and Cohen, N. 2020. Saildrone: Adaptively sampling the marine environment. Bulletin of the American Meteorological Society, 101(6): E744–E762. DOI: 10.1175/BAMS-D-19-0015.1
- Gries, C, Beaulieu, S, Brown, RF, Elmendorf, S, Garritt, H, Gastil-Buhl, G, Hsieh, H-Y, Kui, L, Martin, M, Maurer, G, Nguyen, AT, Porter, JH, Sapp, A, Servilla, M and Whiteaker, TL. 2021. Data package design for special cases. ver 1. DOI: 10.6073/pasta/9d4c803578c3fbcb45fc23f13124d052
- Group, DMW. 2021. Satacite metadata schema documentation for the publication and citation of research data and other research outputs. DOI: 10.14454/3w3z-sa82
- Janowicz, K, Haller, A, Cox, SJD, Le Phuoc, D and Lefrançois, M. 2018. SOSA: A lightweight ontology for sensors, observations, samples, and actuators. Journal of Web Semantics. DOI: 10.2139/ssrn.3248499
- Jones, M, Richard, S, Vieglais, D, Shepherd, A, Duerr, R, Fils, D and McGibbney, LJ. 2021. Scienceon-schema.org v1.2.0. DOI: 10.5281/zenodo.4477164
- Lammerding, DM. n.d. Dronetology, the UAV Ontology.
http://www.dronetology.net/ . - Lebo, T, Sahoo, S, McGuinness, D, Belhajjame, K, Cheney, J, Corsar, D, Garijo, D, Soiland-Reyes, S, Zednik, S and Zhao, J. 2013. Prov-o: The prov ontology. W3C recommendation. 30.
- Liolios, K, Schriml, L, Hirschman, L, Pagani, I, Nosrat, B, Sterk, P, White, O, Rocca-Serra, P, Sansone, S-A, Taylor, C, Kyrpides, NC and Field, D. 2012. The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness. Standards in Genomic Sciences, 6(3); 444–453. DOI: 10.4056/sigs.2675953
- Margaritopoulos, M, Margaritopoulos, T, Mavridis, I and Manitsaris, A. 2012. Quantifying and measuring metadata completeness. Journal of the American Society for Information Science and Technology. 63(4); 724–737. DOI: 10.1002/asi.21706
- Mattben, MH. n.d. CF conventions home page.
http://cfconventions.org/ . - Millerand, F and Bowker, GC. 2009.
Trajectories and Enactment in the Life of an Ontology In: Star, SL and Lampland, M (eds.), Standards and Their Stories. Cornell University Press. pp. 149–165. - Mordy, CW, Cokelet, ED, Robertis, AD, Jenkins, R, Kuhn, CE, Lawrence-Slavas, N, Berchok, CL, Crance, JL, Sterling, JT, Cross, JN, Stabeno, PJ, Meinig, C, Tabisola, HM, Burgess, W and Wangen, I. 2017. Advances in ecosystem research: Saildrone surveys of oceanography, fish, and marine mammals in the bering sea. Oceanography, 30(2); 113–115. DOI: 10.5670/oceanog.2017.230
- Open Geospatial Consortium. n.d. Observations and measurements. Available at
https://www.opengeospatial.org/standards/om . Accessed: 1-31-2019. - Palmer, CL, Thomer, AK, Baker, KS, Wickett, KM, Hendrix, CL, Rodman, A, Sigler, S and Fouke, BW. 2017. Site-based data curation based on hot spring geobiology. PLOS ONE, 12(3);
e0172090 . DOI: 10.1371/journal.pone.0172090 - Rakha, T and Gorodetsky, A. 2018. Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones. Automation in Construction, 93; 252–264. DOI: 10.1016/j.autcon.2018.05.002
- Ryssevik, J. n.d.
The data documentation initiative (ddi) metadata specification . Ann Arbor, MI: Data Documentation Alliance. - Taleisnik, S. 2020. Ogc testbed-16: Aviation engineering report.
https://docs.ogc.org/per/20-020.html . - Thomer, AK. 2022. Integrative data reuse at scientifically significant sites: Case studies at yellowstone national park and the la brea tar pits. Journal of the Association for Information Science and Technology, 73(8); 1155–1170. DOI: 10.1002/asi.24620
- Thomer, AK, Wickett, KM, Baker, KS, Fouke, BW and Palmer, CL. 2018. Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park. Journal of the Association for Information Science and Technology, 69(10); 1234–1245. DOI: 10.1002/asi.24039
- Thomer, A, Swanz, S, Barbieri, L and Wyngaard, J. 2020. A minimum information framework the FAIR collection of earth and environmental science data with drones. DOI: 10.5281/zenodo.4124167
- Wilkinson, MD, Dumontier, M, Aalbersberg, IJ, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, da Silva Santos, LB, Bourne, PE, Bouwman, J, Brookes, AJ, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, CT, Finkers, R, Gonzalez-Beltran, A, Gray, AJG, Groth, P, Goble, C, Grethe, JS, Heringa, J, Hoen, PACT, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, SJ, Martone, ME, Mons, A, Packer, AL, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R, Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, MA, Thompson, M, van der Lei, J, van Mulligen, E, Velterop, J, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J and Mons, B. 2016. The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3; 160018. DOI: 10.1038/sdata.2016.18
- Wyngaard, J, Barbieri, L, Thomer, A, Adams, J, Sullivan, D, Crosby, C, Parr, C, Klump, J, Raj Shrestha, S and Bell, T. 2019. Emergent challenges for science suas data management: Fairness through community engagement and best practices development. Remote Sensing, 11(15). DOI: 10.3390/rs11151797
- Wyngaard, CV. 2021. Linked and networked drones. https://docs.ogc.org/per/20-020.html.
https://landrs.org .
