173 related articles for article (PubMed ID: 35944320)
1. Semi-automated detection of ungulates using UAV imagery and reflective spectrometry.
De Kock ME; Pohůnek V; Hejcmanová P
J Environ Manage; 2022 Oct; 320():115807. PubMed ID: 35944320
[TBL] [Abstract][Full Text] [Related]
2. Cost benefit analysis of survey methods for assessing intertidal sediment disturbance: A bait collection case study.
White SM; Schaefer M; Barfield P; Cantrell R; Watson GJ
J Environ Manage; 2022 Mar; 306():114386. PubMed ID: 35030426
[TBL] [Abstract][Full Text] [Related]
3. Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system.
Michez A; Piégay H; Lisein J; Claessens H; Lejeune P
Environ Monit Assess; 2016 Mar; 188(3):146. PubMed ID: 26850712
[TBL] [Abstract][Full Text] [Related]
4. Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping.
Borra-Serrano I; Peña JM; Torres-Sánchez J; Mesas-Carrascosa FJ; López-Granados F
Sensors (Basel); 2015 Aug; 15(8):19688-708. PubMed ID: 26274960
[TBL] [Abstract][Full Text] [Related]
5. A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery.
Huang H; Deng J; Lan Y; Yang A; Deng X; Zhang L
PLoS One; 2018; 13(4):e0196302. PubMed ID: 29698500
[TBL] [Abstract][Full Text] [Related]
6. UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.
Parsons M; Bratanov D; Gaston KJ; Gonzalez F
Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29941801
[TBL] [Abstract][Full Text] [Related]
7. Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery.
Kattenborn T; Eichel J; Fassnacht FE
Sci Rep; 2019 Nov; 9(1):17656. PubMed ID: 31776370
[TBL] [Abstract][Full Text] [Related]
8. Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.
Ofli F; Meier P; Imran M; Castillo C; Tuia D; Rey N; Briant J; Millet P; Reinhard F; Parkan M; Joost S
Big Data; 2016 Mar; 4(1):47-59. PubMed ID: 27441584
[TBL] [Abstract][Full Text] [Related]
9. New tools for old problems - comparing drone- and field-based assessments of a problematic plant species.
Oldeland J; Revermann R; Luther-Mosebach J; Buttschardt T; Lehmann JRK
Environ Monit Assess; 2021 Jan; 193(2):90. PubMed ID: 33501565
[TBL] [Abstract][Full Text] [Related]
10. Monitoring the invasion of Spartina alterniflora using very high resolution unmanned aerial vehicle imagery in Beihai, Guangxi (China).
Wan H; Wang Q; Jiang D; Fu J; Yang Y; Liu X
ScientificWorldJournal; 2014; 2014():638296. PubMed ID: 24892066
[TBL] [Abstract][Full Text] [Related]
11. Integrated Satellite, Unmanned Aerial Vehicle (UAV) and Ground Inversion of the SPAD of Winter Wheat in the Reviving Stage.
Zhang S; Zhao G; Lang K; Su B; Chen X; Xi X; Zhang H
Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30934683
[TBL] [Abstract][Full Text] [Related]
12. Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images.
Peña JM; Torres-Sánchez J; de Castro AI; Kelly M; López-Granados F
PLoS One; 2013; 8(10):e77151. PubMed ID: 24146963
[TBL] [Abstract][Full Text] [Related]
13. Automated mapping of
Galuszynski NC; Duker R; Potts AJ; Kattenborn T
PeerJ; 2022; 10():e14219. PubMed ID: 36262418
[TBL] [Abstract][Full Text] [Related]
14. Mapping burned areas in Thailand using Sentinel-2 imagery and OBIA techniques.
Suwanprasit C; Shahnawaz
Sci Rep; 2024 Apr; 14(1):9609. PubMed ID: 38671156
[TBL] [Abstract][Full Text] [Related]
15. Automatic UAV-based detection of Cynodon dactylon for site-specific vineyard management.
Jiménez-Brenes FM; López-Granados F; Torres-Sánchez J; Peña JM; Ramírez P; Castillejo-González IL; de Castro AI
PLoS One; 2019; 14(6):e0218132. PubMed ID: 31185068
[TBL] [Abstract][Full Text] [Related]
16. Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicle.
van Andel AC; Wich SA; Boesch C; Koh LP; Robbins MM; Kelly J; Kuehl HS
Am J Primatol; 2015 Oct; 77(10):1122-34. PubMed ID: 26179423
[TBL] [Abstract][Full Text] [Related]
17. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
Gonzalez LF; Montes GA; Puig E; Johnson S; Mengersen K; Gaston KJ
Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26784196
[TBL] [Abstract][Full Text] [Related]
18. A novel semi-supervised framework for UAV based crop/weed classification.
Khan S; Tufail M; Khan MT; Khan ZA; Iqbal J; Alam M
PLoS One; 2021; 16(5):e0251008. PubMed ID: 33970938
[TBL] [Abstract][Full Text] [Related]
19. Unmanned aerial vehicles for surveying marine fauna: assessing detection probability.
Hodgson A; Peel D; Kelly N
Ecol Appl; 2017 Jun; 27(4):1253-1267. PubMed ID: 28178755
[TBL] [Abstract][Full Text] [Related]
20. Explainable identification and mapping of trees using UAV RGB image and deep learning.
Onishi M; Ise T
Sci Rep; 2021 Jan; 11(1):903. PubMed ID: 33441689
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
