175 related articles for article (PubMed ID: 37236581)
1. Remote sensing reveals unprecedented sublethal impacts of a 40-year-old oil spill on mangroves.
Lassalle G; Scafutto RDM; Lourenço RA; Mazzafera P; de Souza Filho CR
Environ Pollut; 2023 Aug; 331(Pt 2):121859. PubMed ID: 37236581
[TBL] [Abstract][Full Text] [Related]
2. Oil spill impacts on mangroves: Recommendations for operational planning and action based on a global review.
Duke NC
Mar Pollut Bull; 2016 Aug; 109(2):700-15. PubMed ID: 27373945
[TBL] [Abstract][Full Text] [Related]
3. Distribution and dynamics of mangrove forests of South Asia.
Giri C; Long J; Abbas S; Murali RM; Qamer FM; Pengra B; Thau D
J Environ Manage; 2015 Jan; 148():101-11. PubMed ID: 24735705
[TBL] [Abstract][Full Text] [Related]
4. A damage assessment model of oil spill accident combining historical data and satellite remote sensing information: a case study in Penglai 19-3 oil spill accident of China.
Wei L; Hu Z; Dong L; Zhao W
Mar Pollut Bull; 2015 Feb; 91(1):258-71. PubMed ID: 25530016
[TBL] [Abstract][Full Text] [Related]
5. Unraveling the spectral and biochemical response of mangroves to oil spills and biotic stressors.
Rodrigues FH; de Souza Filho CR; Scafutto RDM; Lassalle G
Environ Pollut; 2024 May; 348():123832. PubMed ID: 38537795
[TBL] [Abstract][Full Text] [Related]
6. Diagnosing the level of stress on a mangrove species (Laguncularia racemosa) contaminated with oil: A necessary step for monitoring mangrove ecosystems.
Reinert F; de Pinho CF; Ferreira MA
Mar Pollut Bull; 2016 Dec; 113(1-2):94-99. PubMed ID: 27600275
[TBL] [Abstract][Full Text] [Related]
7. Multidecadal mangrove forest change in Macajalar Bay, Northern Mindanao, Philippines (1950-2020) using remote sensing and geographic information systems.
Salvaña MJD; Osa JRF; Agudo GJL
Environ Monit Assess; 2024 May; 196(6):507. PubMed ID: 38703253
[TBL] [Abstract][Full Text] [Related]
8. Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods.
Ozigis MS; Kaduk JD; Jarvis CH; da Conceição Bispo P; Balzter H
Environ Pollut; 2020 Jan; 256():113360. PubMed ID: 31672372
[TBL] [Abstract][Full Text] [Related]
9. Mapping terrestrial oil spill impact using machine learning random forest and Landsat 8 OLI imagery: a case site within the Niger Delta region of Nigeria.
Ozigis MS; Kaduk JD; Jarvis CH
Environ Sci Pollut Res Int; 2019 Feb; 26(4):3621-3635. PubMed ID: 30535661
[TBL] [Abstract][Full Text] [Related]
10. Meta-analysis of salt marsh vegetation impacts and recovery: a synthesis following the Deepwater Horizon oil spill.
Zengel S; Weaver J; Mendelssohn IA; Graham SA; Lin Q; Hester MW; Willis JM; Silliman BR; Fleeger JW; McClenachan G; Rabalais NN; Turner RE; Hughes AR; Cebrian J; Deis DR; Rutherford N; Roberts BJ
Ecol Appl; 2022 Jan; 32(1):e02489. PubMed ID: 34741358
[TBL] [Abstract][Full Text] [Related]
11. Quantifying the exposure of humans and the environment to oil pollution in the Niger Delta using advanced geostatistical techniques.
Obida CB; Alan Blackburn G; Duncan Whyatt J; Semple KT
Environ Int; 2018 Feb; 111():32-42. PubMed ID: 29169077
[TBL] [Abstract][Full Text] [Related]
12. Comparing the Potential of Multispectral and Hyperspectral Data for Monitoring Oil Spill Impact.
Khanna S; Santos MJ; Ustin SL; Shapiro K; Haverkamp PJ; Lay M
Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29439504
[TBL] [Abstract][Full Text] [Related]
13. Surface oil footprint and trajectory of the Ixtoc-I oil spill determined from Landsat/MSS and CZCS observations.
Sun S; Hu C; Tunnell JW
Mar Pollut Bull; 2015 Dec; 101(2):632-41. PubMed ID: 26507512
[TBL] [Abstract][Full Text] [Related]
14. Synergistic use of an oil drift model and remote sensing observations for oil spill monitoring.
De Padova D; Mossa M; Adamo M; De Carolis G; Pasquariello G
Environ Sci Pollut Res Int; 2017 Feb; 24(6):5530-5543. PubMed ID: 28028707
[TBL] [Abstract][Full Text] [Related]
15. Ten years after the prestige oil spill: seabird trophic ecology as indicator of long-term effects on the coastal marine ecosystem.
Moreno R; Jover L; Diez C; Sardà-Palomera F; Sanpera C
PLoS One; 2013; 8(10):e77360. PubMed ID: 24130877
[TBL] [Abstract][Full Text] [Related]
16. Application of C-band sentinel-1A SAR data as proxies for detecting oil spills of Chennai, East Coast of India.
Dasari K; Anjaneyulu L; Nadimikeri J
Mar Pollut Bull; 2022 Jan; 174():113182. PubMed ID: 34844147
[TBL] [Abstract][Full Text] [Related]
17. An assessment of mangrove vegetation changes in reference to cyclone impacted climatic alterations at land-ocean interface of Indian Sundarbans with application of remote sensing-based analytical tools.
Das A; Choudhury KM; Choudhury AK
Environ Sci Pollut Res Int; 2023 Aug; 30(38):89311-89335. PubMed ID: 37452248
[TBL] [Abstract][Full Text] [Related]
18. Oil spill from the Era: Mangroves taking eons to recover.
Connolly RM; Connolly FN; Hayes MA
Mar Pollut Bull; 2020 Apr; 153():110965. PubMed ID: 32056860
[TBL] [Abstract][Full Text] [Related]
19. Diversity of hydrocarbon-degrading bacteria in mangroves rhizosphere as an indicator of oil-pollution bioremediation in mangrove forests.
Siddique A; Al Disi Z; AlGhouti M; Zouari N
Mar Pollut Bull; 2024 Jul; 205():116620. PubMed ID: 38955089
[TBL] [Abstract][Full Text] [Related]
20. Estimating Structural Damage to Mangrove Forests Using Airborne Lidar Imagery: Case Study of Damage Induced by the 2017 Hurricane Irma to Mangroves in the Florida Everglades, USA.
Chavez S; Wdowinski S; Lagomasino D; Castañeda-Moya E; Fatoyinbo T; Moyer RP; Smoak JM
Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571453
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
