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Hesham El-Askary

Researcher at Chapman University

Publications -  89
Citations -  1794

Hesham El-Askary is an academic researcher from Chapman University. The author has contributed to research in topics: Moderate-resolution imaging spectroradiometer & Aerosol. The author has an hindex of 21, co-authored 83 publications receiving 1398 citations. Previous affiliations of Hesham El-Askary include Alexandria University & National Authority for Remote Sensing and Space Sciences.

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Proceedings ArticleDOI

Efficient Hierarchical-PCA Dimension Reduction for Hyperspectral Imagery

TL;DR: An hierarchical algorithm is reported, which can effectively reduce the hyperspectral data to intrinsic dimensionality and shows that reduced data obtained by hierarchical PCA can compare favorably to the results obtained from original data.
Journal ArticleDOI

Melting of Major Glaciers in the Western Himalayas: Evidence of Climatic Changes from Long Term MSU Derived Tropospheric Temperature Trend (1979-2008)

TL;DR: In this article, the authors used the Microwave Sounding Unit (MSU) data for long-term observations of atmospheric temperatures acquired from the MSU since 1979-2008 and found that the unequal distribution of the warming trend over the year is partially attributed to a number of controlling factors such as sunlight duration, CO2 trends over the region (2003-2008), water vapor and aerosol distribution.
Journal ArticleDOI

Dust storms detection over the Indo-Gangetic basin using multi sensor data

TL;DR: In this paper, the authors used multi-sensor data to study the characteristics of dust storms over the Indo-Gangetic basin and found that these data show characteristic behavior of brightness temperature and Aerosol Index due to dust, which change significantly as dust migrates towards east over Kanpur.
Journal ArticleDOI

Regional dust storm modeling for health services: The case of valley fever

TL;DR: In this article, a quasi-operational experimental airborne dust forecast system predicted the 2011 dust storm and provided model output for continuing analysis in collaboration with public health and air quality communities.