Texture-based cloud classification

The purpose of the 1988 ASEE Summer Program has been to broaden the application of texture-based cloud classification approaches to lower spatial resolution GOES imagery, and to design texture-based approaches for determining cloud cover over high albedo surfaces

The effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset

The ASTER polar cloud mask algorithm is currently under development. Several classification techniques have been developed and implemented. The merits and accuracy of each are being examined. The classification techniques under investigation include fuzzy logic, hierarchical neural network, and a pairwise histogram comparison scheme based on sample histograms called the Paired Histogram Method. Scene adaptive methods also are being investigated as a means to improve classifier performance. The feature, arctan of Band 4 and Band 5, and the Band 2 vs. Band 4 feature space are key to separating frozen water (e.g., ice/snow, slush/wet ice, etc.) from cloud over frozen water, and land from cloud over land, respectively. A total of 82 Landsat TM circumpolar scenes are being used as a basis for algorithm development and testing. Numerous spectral features are being tested and include the 7 basic Landsat TM bands, in addition to ratios, differences, arctans, and normalized differences of each combination of bands. A technique for deriving cloud base and top height is developed. It uses 2-D cross correlation between a cloud edge and its corresponding shadow to determine the displacement of the cloud from its shadow. The height is then determined from this displacement, the solar zenith angle, and the sensor viewing angle

Training for Adjunct Faculty

Professor, teacher, instructor, faculty member –all are cherished and incredibly important titles at any university. At the same time, every full-time faculty member knows that it took time to become a good teacher and that training and mentoring shortens the required train-up period. Members of the Civil Engineering Department Heads Council Executive Committee (DHCEC) have indicated that the American Society of Civil Engineers (ASCE) ExCEEd Teaching Workshop is a must have tool for developing new faculty. So why do we thrust a syllabus into the hands of adjunct faculty and wish them well – while it appears that some type of orientation training is warranted for all full-time faculty? This paper examines the topics that should be covered in such training. The results are based on a survey of existing civil engineering department heads and an examination of the training already available through universities and professional societies

Global Retrieval of Cloud Particle Size and Optical Thickness Using ISCCP Data

The primary thrust of this investigation is to develop an algorithm to retrieve cloud particle sizes using ISCCP data. The research under this grant has been successful in obtaining initial results of global distribution of ice-particle sizes. Further research about possible problems caused by nonsphericity of ice particle sizes is currently underway. An algorithm of retrieving ice-cloud particle sizes using ISCCP CX data has been developed. The first survey of ice-particle size in a near-global scale has been completed. Comparison with in situ measurements of ice crystal sizes during FIRE I shows good agreement. The initial results show that the global mean size of ice crystals (De) is about 60 micron. This result is consistent with the range of in situ measurements all over the world if definitions of effective particle size are unified (see next section). The survey also shows that there is no distinct difference of ice-particle sizes between continental and maritime ice-clouds. There are many different definitions of effective particle size used in ice-cloud research. Simple comparisons between values of in situ measurement and satellite remote sensing are misleading and may lead to incorrect conclusions. We reviewed different definitions of effective particle sizes used in the literature and compared their relative magnitudes

Simulation of AVHRR-K band ratios with AVIRIS

The Advanced Very High Resolution Radiometer (AVHRR)-K polar-orbiting imager scheduled for launch by the mid-1990's will include two new near-infrared narrowband detectors, Band 3A, 1.58- 1.64 microns, and a modified (narrower) Band 2, 0.84-0.87 microns. The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) is an ideal testbed for these bands. The results of a comparison between AVIRIS band ratio values and AVHRR-K radiances simulated from AVIRIS are summarized

Relationship Between Cirrus Particle Size and Cloud Top Temperature

The relationship between cirrus particle size and cloud top temperature is surveyed on a near-global scale. The cirrus particle size is retrieved assuming ice crystals are hexagonal columns and the cloud top temperature and the radiances in channel 1 and 3 of AVHRR used to retrieve ice particle sizes are from ISCCP product. The results show that for thick clouds over North America, the relation between particle size and cloud top temperature is consistent with a summary of this relationship based on aircraft measurement over that region for thick clouds. However, this relationship is not universal for other regions especially for for tropical zone, which has been found by other in situ measurements