TY - GEN
T1 - An empirical algorithm for retreiving salinity in the Arabian Gulf
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
AU - Zhao, Jun
AU - Temimi, Marouane
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - The Arabian Gulf is located in an arid region in the Middle East. Salinity in the Arabian Gulf can exceed 43 practical salinity units (psu) caused by high evaporation, low precipitation, and desalination discharge. In this study, a regional algorithm to retrieve salinity was developed using in situ measurements conducted between June 2013 and November 2014 along the western coast of Abu Dhabi, United Arab Emirates (UAE). A multivariate linear regression model was proposed, which resulted in a determination coefficient (R2) of 0.7. Then the algorithm was applied to Landsat-8 data, which revealed the spatial distribution of salinity over the Arabian Gulf with high values in coastal waters while low values in offshore waters. The findings can assist in better understanding of the water mass exchange between the Arabian Gulf and the Sea of Oman through the Strait of Hormuz, assessing the accuracy of salinity from numerical models, illustrating the seasonal and inter-annual variations of salinity in the saline Arabian Gulf, etc.
AB - The Arabian Gulf is located in an arid region in the Middle East. Salinity in the Arabian Gulf can exceed 43 practical salinity units (psu) caused by high evaporation, low precipitation, and desalination discharge. In this study, a regional algorithm to retrieve salinity was developed using in situ measurements conducted between June 2013 and November 2014 along the western coast of Abu Dhabi, United Arab Emirates (UAE). A multivariate linear regression model was proposed, which resulted in a determination coefficient (R2) of 0.7. Then the algorithm was applied to Landsat-8 data, which revealed the spatial distribution of salinity over the Arabian Gulf with high values in coastal waters while low values in offshore waters. The findings can assist in better understanding of the water mass exchange between the Arabian Gulf and the Sea of Oman through the Strait of Hormuz, assessing the accuracy of salinity from numerical models, illustrating the seasonal and inter-annual variations of salinity in the saline Arabian Gulf, etc.
KW - Arabian Gulf
KW - Landsat 8
KW - remote sensing
KW - salinity
UR - http://www.scopus.com/inward/record.url?scp=85007433699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007433699&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2016.7730212
DO - 10.1109/IGARSS.2016.7730212
M3 - Conference contribution
AN - SCOPUS:85007433699
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4645
EP - 4648
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Y2 - 10 July 2016 through 15 July 2016
ER -