A Bloom Filter (BF) is a data structure suitable for performing set membership queries very efficiently. A Standard Bloom Filter representing a set of n elements is generated by an array of m bits and uses k independent hash functions. Bloom Filters have some attractive properties including low storage requirement, fast membership checking and no false negatives. False positives are possible bu...

Bloom filters provide a spaceand time-efficient mean to check the inclusion of an element in a set. In some applications it is beneficial, if the set represented by the Bloom filter is only revealed to authorized parties. Particularly, operations data in supply chain management can be very sensitive and Bloom filters can be applied to supply chain integrity validation. Despite the protection of...

Long-term information of phytoplankton bloom is critical for assessing the processes driving blooms in lakes. A three-decade survey of the phytoplankton blooms was completed for Erhai Lake from 1987 to 2016 with Landsat imagery. A modified three-band model using Landsat broad bands is developed by comparing reflectance data from Landsat imagery to two field datasets. The model is applied to the...

The advantages of geostationary observations of sediment plumes and phytoplankton blooms have been reported for coastal waters in the southern North Sea and west Pacific. So far, similar observations have not been possible for the Gulf of Mexico where blooms of Trichodesmium erythraeum often occur. Here, using data collected by the Geostationary Operational Environmental Satellite (GOES) Imager...