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Developing a Neural-network-based "BRDF" Tool for the UAE Coastal and Inland Zones.

, , , and . IGARSS (2), page 460-463. IEEE, (2009)

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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)Remote sensing of red tide in the Arabian Gulf., , and . IGARSS, page 3870-3873. IEEE, (2014)Developing a Neural-network-based "BRDF" Tool for the UAE Coastal and Inland Zones., , , and . IGARSS (2), page 460-463. IEEE, (2009)Mapping of the Solar Irradiance in the UAE Using Advanced Artificial Neural Network Ensemble., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (8): 3668-3680 (2014)Soil Moisture Retrieval from Radarsat Data: A Neuro-Fuzzy Approach., , and . IGARSS, page 2328-2331. IEEE, (2006)Effect of Land Cover Heterogeneity on Soil Moisture Retrieval Using Active Microwave Remote Sensing Data., , , , and . Remote. Sens., 1 (2): 80-91 (2009)The global solar and wind atlas: a unique global spatial data infrastructure for all renewable energy., , , and . MapInteract, page 36-39. ACM, (2013)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)