Full text: Proceedings, XXth congress (Part 7)

  
International Archives of the 
  
   
   
UNITED ARAB EMIRATES 
FROM SPACE 
©) © mie £ 4 
Figure 1. satellite image showing UAE with overlay of a mosaic 
SAR image used for the study area. 
The Arabian Gulf region is the largest offshore oil development 
area in the world. Bahrain, Iran, Iraq, Kuwait, Qatar, Saudi 
Arabia, and the United Arab Emirates(UAE) produced over 
27% of the world’s oil in 2000. The area also holds 65% of the 
world’s oil reserves. The study area have one of the busiest and 
most important tanker shipping lanes in the world; one ship 
passes the strait approximately every 6 minutes, another 
statistic indicates that more than 40 % of the world’s total oil 
transportation passes through the region. The oil sludge, 
released by tankers cruising in the Arabian Gulf is estimated to 
be around 8 million metric tons per year, representing 60 % of 
the total pollution in the area. Oil of 15.5 million barrels per 
day is transported through the strait of Hormuz. Contamination 
influx is mainly from tankers releasing ballast, tank cleaning 
leakage from drilling rigs and production platforms, and ship 
accidents. 
3.2 Data set 
Ers-1/2 C-band SAR data has been used for the great majority 
of oil spill detection. However, other satellites images even 
optical sensor images have shown good capabilities for this 
purpose. Therefore, we searched all available image data 
archives and selected more than one hundred of images derived 
from different platforms that covered the most of the offshore 
water of the UAE. We conducted a search of ERS-1/2 data 
archive to compile a list of all images acquired over the study 
area. To evaluate their suitability for slick detection, historical 
wind conditions for corresponding SAR images were obtained. 
For each date of acquisition, surface wind speed histories were 
reconstructed using historical records. Because radar 
backscatter from the sea surfaces are strongly affected by 
surface wind patterns, the wind speed histories were used to rate 
the suitability of each image for oil slick detection. 
A total of more than 300 frames of ERS-1/2, Landsat-7 ETM, 
JERS-1 SAR, Terra ASTER, RADARSAR, and Space Shuttle 
photographs were used. The images were acquired within the 
period between mid 1980's and early 2001. These images were 
used. The images were not uniformly distributed over the study 
area. The frequency of coverage ranges Was maximum 5 scenes 
per frame. the following are the satellite imagery used in his 
project: 
ERS-1 SAR (Japan), 64 scenes 
Shuttle Imaging Radar C/X-SAR (US), 37 segments 
ERS-1/2 AMI (EU), 15 scenes 
Radarsat SAR (Canada), 3 scenes 
Envisat ASAR (EU), 7 scenes 
BMC 
Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
Hexagon KH-9 (US), 12 scenes 
Landsat-7 ETM+ (US), 15 scenes 
JERS-1 OPS (Japan), 92 scenes 
Terra ASTER (Japan/US), 95 scenes 
0. Shuttle Handheld Camera Photographs, 50photos 
== ND OU IO 
3.3 Image Analysis and oil Slick detection 
Briefly summarizing the characteristics of each satellite-borne 
imaging sensor in oil slick detection, in the visible and near- 
infrared region, the absorption and reflection of solar 
illumination determines the characteristics of the oil by means 
of spectral reflectance of electromagnetic energy. Crude oils 
show different colours, that is spectral reflectance varies 
depending upon chemical composition of crude oil. Sea surface 
roughness changes the direction of solar illumination reflected 
from water, due to randomly scattered sun glint from wave 
facets oriented at the specular angle, as does the presence of sea 
surface condition(berry, 1995). As a results, reflectance contrast 
between clear water and oily water varies with sea state at any 
given wavelength in the visible and near-infrared region. 
By looking at the thermal infrared region, the water surface 
temperature can be calculated. Brightness temperature is 
calculated with respect to function of both emissivity and 
kinetic temperature. A film of oil on water has the same kinetic 
temperature as the water since they are in direct contact. The 
difference of emissivity 0.02 between Seawater and crude oil 
makes an apparent difference of 1.20C in brightness 
temperature in the wavelength region of Landsat TM band 6 at 
room temperature (Salisbury et al., 1993). Generally an oil 
slicked surface shows a lower temperature than the surrounding 
clear water surface (Figure 2.). The image data observed in 
night time is more reliable to avoid the influence of solar 
illumination difference between seawater and oil slicks. 
  
Figure 2. water surface temperature of clear water and of 
slicked water. 
© 
In the microwave region, the brightness of the sea surface is 
measure of backscatter of the sea surface roughness. As smooth 
sea surface appears dark and the brightness increases as the sea 
surface becomes rougher. Oil films damp wind-generated 
gravity capillary waves on the sea surface. Hence they appear 
dark against brighter surrounding areas in a SAR image. 
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