206 related articles for article (PubMed ID: 30020959)
1. The advantages of using drones over space-borne imagery in the mapping of mangrove forests.
Ruwaimana M; Satyanarayana B; Otero V; M Muslim A; Syafiq A M; Ibrahim S; Raymaekers D; Koedam N; Dahdouh-Guebas F
PLoS One; 2018; 13(7):e0200288. PubMed ID: 30020959
[TBL] [Abstract][Full Text] [Related]
2. Integrating drone imagery with existing rangeland monitoring programs.
Gillan JK; Karl JW; van Leeuwen WJD
Environ Monit Assess; 2020 Apr; 192(5):269. PubMed ID: 32253518
[TBL] [Abstract][Full Text] [Related]
3. The application of drones for mosquito larval habitat identification in rural environments: a practical approach for malaria control?
Stanton MC; Kalonde P; Zembere K; Hoek Spaans R; Jones CM
Malar J; 2021 May; 20(1):244. PubMed ID: 34059053
[TBL] [Abstract][Full Text] [Related]
4. Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China.
Chen Y; Jiao J; Wei Y; Zhao H; Yu W; Cao B; Xu H; Yan F; Wu D; Li H
Int J Environ Res Public Health; 2019 Jan; 16(3):. PubMed ID: 30696108
[TBL] [Abstract][Full Text] [Related]
5. Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d'Ivoire.
Houphlet SDK; Dusseux P; Adiko AEG; Konan-Waidhet AB; Munoz F; Bigot S; Adou Yao CY
Environ Monit Assess; 2022 Dec; 195(1):200. PubMed ID: 36520237
[TBL] [Abstract][Full Text] [Related]
6. An assessment of commonly employed satellite-based remote sensors for mapping mangrove species in Mexico using an NDVI-based classification scheme.
Valderrama-Landeros L; Flores-de-Santiago F; Kovacs JM; Flores-Verdugo F
Environ Monit Assess; 2017 Dec; 190(1):23. PubMed ID: 29242995
[TBL] [Abstract][Full Text] [Related]
7. Land use and land cover mapping in wetlands one step closer to the ground: Sentinel-2 versus landsat 8.
Sánchez-Espinosa A; Schröder C
J Environ Manage; 2019 Oct; 247():484-498. PubMed ID: 31254763
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Smart solutions for smart cities: Urban wetland mapping using very-high resolution satellite imagery and airborne LiDAR data in the City of St. John's, NL, Canada.
Mahdianpari M; Granger JE; Mohammadimanesh F; Warren S; Puestow T; Salehi B; Brisco B
J Environ Manage; 2021 Feb; 280():111676. PubMed ID: 33246750
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Status of the undisturbed mangroves at Brunei Bay, East Malaysia: a preliminary assessment based on remote sensing and ground-truth observations.
Satyanarayana B; M Muslim A; Izzaty Horsali NA; Mat Zauki NA; Otero V; Nadzri MI; Ibrahim S; Husain ML; Dahdouh-Guebas F
PeerJ; 2018; 6():e4397. PubMed ID: 29479500
[TBL] [Abstract][Full Text] [Related]
12. Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges.
Fernández-Guisuraga JM; Sanz-Ablanedo E; Suárez-Seoane S; Calvo L
Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29443914
[TBL] [Abstract][Full Text] [Related]
13. Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys.
Hodgson AJ; Kelly N; Peel D
PeerJ; 2023; 11():e16186. PubMed ID: 37941930
[TBL] [Abstract][Full Text] [Related]
14. Monitoring recent changes of vegetation in Fildes Peninsula (King George Island, Antarctica) through satellite imagery guided by UAV surveys.
Miranda V; Pina P; Heleno S; Vieira G; Mora C; E G R Schaefer C
Sci Total Environ; 2020 Feb; 704():135295. PubMed ID: 31836216
[TBL] [Abstract][Full Text] [Related]
15. A comparison of drone imagery and ground-based methods for estimating the extent of habitat destruction by lesser snow geese (Anser caerulescens caerulescens) in La Pérouse Bay.
Barnas AF; Darby BJ; Vandeberg GS; Rockwell RF; Ellis-Felege SN
PLoS One; 2019; 14(8):e0217049. PubMed ID: 31398201
[TBL] [Abstract][Full Text] [Related]
16. Using drone-mounted cameras for on-site body documentation: 3D mapping and active survey.
Urbanová P; Jurda M; Vojtíšek T; Krajsa J
Forensic Sci Int; 2017 Dec; 281():52-62. PubMed ID: 29101908
[TBL] [Abstract][Full Text] [Related]
17. A hyper-temporal remote sensing protocol for high-resolution mapping of ecological sites.
Maynard JJ; Karl JW
PLoS One; 2017; 12(4):e0175201. PubMed ID: 28414731
[TBL] [Abstract][Full Text] [Related]
18. Submerged macrophyte assessment in rivers: An automatic mapping method using Pléiades imagery.
Espel D; Courty S; Auda Y; Sheeren D; Elger A
Water Res; 2020 Nov; 186():116353. PubMed ID: 32919140
[TBL] [Abstract][Full Text] [Related]
19. Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique.
Tahara S; Sudo K; Yamakita T; Nakaoka M
PeerJ; 2022; 10():e14017. PubMed ID: 36275465
[TBL] [Abstract][Full Text] [Related]
20. Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao Wetland National Nature Reserve, China.
Wang D; Song Q; Liao X; Ye H; Shao Q; Fan J; Cong N; Xin X; Yue H; Zhang H
Sci Total Environ; 2020 Dec; 746():140327. PubMed ID: 32768776
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
