Oil spills: Detection and concentration estimation in satellite imagery, a machine learning approach

Author:

Trujillo-Acatitla Rubicel,Tuxpan-Vargas José,Ovando-Vázquez Cesaré

Publisher

Elsevier BV

Subject

Pollution,Aquatic Science,Oceanography

Reference86 articles.

1. Sensors, features, and machine learning for oil spill detection and monitoring: a review;Al-Ruzouq;Remote Sens.,2020

2. Assessment of oil spills using sentinel 1 C-band SAR and Landsat 8 multispectral sensors;Arslan;Environ. Monit. Assess.,2018

3. The ASTER spectral library version 2.0;Baldridge;Remote Sens. Environ.,2009

4. Spatio-temporal analysis of oil spill impact and recovery pattern of coastal vegetation and wetland using multispectral satellite Landsat 8-OLI imagery and machine learning models;Balogun;Remote Sens.,2020

5. Landsat-8 and Sentinel-2 based Forest fire burn area mapping using machine learning algorithms on GEE cloud platform over Uttarakhand, Western himalaya;Bar;Remote Sens. Appl. Soc. Environ.,2020

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