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Detection of oil pollution in the arabian gulf using optical remote sensing imagery.

, , and . IGARSS, page 1453-1456. IEEE, (2014)

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Evaluation of the effect of the SMOS/AMSRE soil moisture estimates on dust emission over MENA region., , and . IGARSS, page 4169-4172. IEEE, (2014)The effect of some internal neural network parameters on SAR texture classification performance., and . IGARSS, page 3845-3848. IEEE, (2004)Soil Moisture Retrieval from Radarsat Data: A Neuro-Fuzzy Approach., , and . IGARSS, page 2328-2331. IEEE, (2006)Developing a Neural-network-based "BRDF" Tool for the UAE Coastal and Inland Zones., , , and . IGARSS (2), page 460-463. IEEE, (2009)Remote sensing of red tide in the Arabian Gulf., , and . IGARSS, page 3870-3873. IEEE, (2014)The global solar and wind atlas: a unique global spatial data infrastructure for all renewable energy., , , and . MapInteract, page 36-39. ACM, (2013)Multi-sensor based approach for detection of oil pollution in the Arabian Gulf and the Sea of Oman., , , , and . IGARSS, page 2190-2193. IEEE, (2015)Combining satellite-derived chlorophyll-a data and high-resolution dubaisat-1 data to detect and monitor red tide outbreaks in the Arabian Gulf., , and . IGARSS, page 3692-3695. IEEE, (2010)Real-time retrieval of dust emissions over the UAE desert from seviri thermal bands., , , and . IGARSS, page 2242-2245. IEEE, (2013)A study on the effect of dust and wind on phytoplankton activities in the Arabian Gulf., , and . IGARSS, page 2571-2574. IEEE, (2012)