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Full-Text Articles in Life Sciences
Spectral Variability Of Oil Slicks Under Different Observing Conditions Derived From Satellite And Airborne Optical Remote Sensing, Chuanmin Hu
C-IMAGE data
In this dataset, we present the spectral variability of oil slicks under different observing conditions using MODIS (Moderate Resolution Imaging Spectroradiometer), MERIS (Medium Resolution Imaging Spectrometer), MISR (Multi-angle Imaging SpectroRadiometer), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and AVIRIS (Airborne Visible/ Infrared Imaging Spectrometer). Optical remote sensing is commonly used to detect oil in the surface ocean due to the spectral differences between oil and water, allowing to modulate oil–water spatial and spectral contrasts. However, understanding these contrasts is challenging because of variable results from laboratory and field experiments, as well as different observing conditions and spatial/spectral resolutions of remote …
Landsat Based Sargassum Coverage In The Northern Gulf Of Mexico, 2010, Chuanmin Hu, Lian Feng
Landsat Based Sargassum Coverage In The Northern Gulf Of Mexico, 2010, Chuanmin Hu, Lian Feng
C-IMAGE data
This dataset contains the sargassum coverage in the northeastern Gulf of Mexico detected using both Landsat remote sensing images and airborne AVIRIS data. The mean Sargassum coverage during the four quarters of 2010 for the study region are also provided. Dataset results are provided in Excel format and correspond to the the publication: Hu, C.; Hardy, R.; Ruder, E.; Geggel, A.; Feng, L.; Powers, S.; Hernandez, F.; Graettinger, G.; Bodnar, J.; McDonald, T. (2016). Sargassum coverage in the northeastern Gulf of Mexico during 2010 from Landsat and airborne observations: Implications for the Deepwater Horizon oil spill impact assessment. Marine Pollution …
Remote Sensing Estimation Of Surface Oil Volume During The 2010 Deepwater Horizon Oil Blowout In The Gulf Of Mexico: Scaling Up Aviris Observation With Modis Measurements, Chuanmin Hu, Lian Feng
Remote Sensing Estimation Of Surface Oil Volume During The 2010 Deepwater Horizon Oil Blowout In The Gulf Of Mexico: Scaling Up Aviris Observation With Modis Measurements, Chuanmin Hu, Lian Feng
C-IMAGE data
This dataset contains Rayleigh corrected reflectance data from 19 MODIS images collected between April and July 2010, along with their corresponding maps of surface oil volume, maps of relative oil thickness of different classes, and maps of probability distributions of different thicknesses. Surface oil was estimated by spatially scaling up AVIRIS observations to synoptic MODIS measurements, which were the used to derived oil classification and probability maps.
Sargassum Detection Using Modis, Aviris, Landsat, And Hico Imagery, Chuanmin Hu, Lian Feng
Sargassum Detection Using Modis, Aviris, Landsat, And Hico Imagery, Chuanmin Hu, Lian Feng
C-IMAGE data
This dataset includes Moderate Resolution Imaging Spectroradiometer (MODIS), Airborne Visible-InfraRed Imaging Spectrometer (AVIRIS), Landsat and Hyperspectral Imager for the Coastal Ocean (HICO) images used in the paper: Hu, C., Feng, L., Hardy, R. F., & Hochberg, E. J. (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macroalgae. Remote Sensing of Environment, 167, 229–246. doi:10.1016/j.rse.2015.05.022, together with the delineated sargassum features. The in situ spectral measurements used as endmembers to simulate the results are also included.
Deepwater Horizon Incident Oil Slick Morphology Determined From United States Geological Survey Oil Volume Product, May 17 2010, Shaojie Sun
C-IMAGE data
This dataset includes original oil volume product download from USGS, post processing file to remove noise and then classified to different oil thickness class file. All the afterward analysis and statistics are based on the classified oil thickness class file. Ascii files of oil slicks' area and length.