Accuracy assessment for Landsat 8 thermal bands in measuring sea surface temperature over Kuwait and North West Arabian Gulf
DOI:
https://doi.org/10.48129/kjs.v49i1.9549Keywords:
Kuwait, Arabian Gulf, Remote Sensing, Sea Surface Temperature, Physical OceanographyAbstract
Studying the marine environment is one of the important fields of remote sensing applications. Previously, the thermal mapping of seas and oceans relied on primitive methods, such as the use of sensors installed on buoys, extracting contour lines and deriving the values from the confluence of contour lines. Today's remote sensing provides more advanced methods for extracting SST values for all bodies of water as a continued raster model, through thermal sensors installed on satellites designated to monitor and observe the Earth.. The Landsat program has facilitated a quantum leap by providing its data for free. What has become increasingly important is the inclusion in Landsat 8 of a thermal band on TIRS sensor through which SST can be extracted with a spatial resolution of 100 m2. In this article, the accuracy of the two thermal bands of Landsat 8 was validated in monitoring the SST of Kuwaiti and Northwest Arabian Gulf waters, through the use of 62 thermal images and 66 ground control points (GCPs) taken in the period from July 2013 to March 2020 using buoys and field data. This was through a function provided by the ENVI 5.3 software - “brightness temperature” - to derive the surface temperature. The accuracy of Landsat 8 to monitor the SST of Kuwait and north-west Arabian Gulf waters was validated by calculating the root mean square error (RMSE) and the mean absolute percentage error (MAPE). The accuracy of the thermal band 10 was ± 2.03 degrees (7.9%), while the accuracy of the thermal band 11 was ± 3.13 degrees (13.7%). Therefore, this study demonstrated that the thermal band 10 of Landsat 8 is more accurate than the thermal band 11 in monitoring the SST of Kuwaiti and north-west Arabian Gulf waters, with a difference of ± 1.1 degrees (5.8%).
References
Ahn, Y. H., Shanmugam, P., Lee, J. H., & Kang, Y. Q. (2006). Application of satellite infrared data for mapping of thermal plume contamination in coastal ecosystem of Korea. Marine Environmental Research, 61(2), 186–201. https://doi.org/10.1016/j.marenvres.2005.09.001
Al-Rashidi, T. B., El-Gamily, H. I., Amos, C. L., & Rakha, K. A. (2009). Sea surface temperature trends in Kuwait Bay, Arabian Gulf. Natural Hazards, 50(1), 73–82. https://doi.org/10.1007/s11069-008-9320-9
Albanai, J. A. (2019). A GIS Science Simulation for the Expected Sea Level Rise Scenarios on Failka Island in The State of Kuwait (1st ed.). Kuwait: Center For Research and Studies on Kuwait.
Alyamani, F., Bishop, J., Ramadhan, E., Al-Husaini, M., & Al-Ghadban, A. (2004). Oceanographic Atlas of Kuwait’s waters (1st ed.). KISR.
Barseem, M. S., Sayed, A. N. El, & Youssef, A. M. (2013). Impact of geologic setting on the groundwater occurrence in wadis El Sanab , Hashem , and Khrega using geoelectrical methods — northwestern coast , Egypt. https://doi.org/10.1007/s12517-013-1129-5
Environment Public Authority. (2020). eMISK. Retrieved April 10, 2019, from epa.org.kw
Ghanea, M., Moradi, M., Kabiri, K., & Mehdinia, A. (2016). Investigation and validation of MODIS SST in the northern Persian Gulf. Advances in Space Research. https://doi.org/10.1016/j.asr.2015.10.040
Khalaf, F. I., & Misak, R. (1995). Sedimentological and morphological characteristics of some nabkha deposits in the northern coastal plain of Kuwait , Arabia Physiographic setting. 267–292.
Kuwait Meteorological Department. (2020). Kuwait Meotrlogical Department. Retrieved February 11, 2020, from met.gov.kw
L3HARRIS Geospatial soultions. (2020). Radiometric Calibration.
Moradi, M., & Kabiri, K. (2015). Spatio-temporal variability of SST and Chlorophyll-a from MODIS data in the Persian Gulf. Marine Pollution Bulletin, 98(1–2), 14–25. https://doi.org/10.1016/j.marpolbul.2015.07.018
NASA. (2020). Landsat Science. Retrieved from https://landsat.gsfc.nasa.gov/landsat-data-continuity-mission/
PACI. (2018). Kuwait Statistics. Retrieved December 1, 2018, from https://www.paci.gov.kw/stat/
Syariz, M. A., Jaelani, L. M., Subehi, L., Pamungkas, A., Koenhardono, E. S., & Sulisetyono, A. (2015). Retrieval of sea surface temperature over Poteran Island water of Indonesia with Landsat 8 TIRS image: A preliminary algorithm. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(2W4), 87–90. https://doi.org/10.5194/isprsarchives-XL-2-W4-87-2015
Taylor, P., Seida, M. M. A., & Sarawi, M. A. Al. (n.d.). Utilization and management of coastal areas in Kuwait Utilization and Management of Coastal Areas in Kuwait. (February 2015), 37–41. https://doi.org/10.1080/08920759009362122
USGS. (2020a). Earthexplorer. Retrieved January 7, 2020, from earthexplorer.usgs.gov
USGS. (2020b). Landsat 8 band designations. Retrieved March 14, 2020, from https://www.usgs.gov/media/images/landsat-8-band-designations
Wloczyk, C., Richter, R., Borg, E., & Neubert, W. (2006). Sea and lake surface temperature retrieval from Landsat thermal data in Northern Germany. International Journal of Remote Sensing, 27(12), 2489–2502. https://doi.org/10.1080/01431160500300206
