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Abdelgadir Abuelgasim
Researcher at United Arab Emirates University
Publications - 49
Citations - 1199
Abdelgadir Abuelgasim is an academic researcher from United Arab Emirates University. The author has contributed to research in topics: Soil salinity & Arid. The author has an hindex of 12, co-authored 46 publications receiving 1003 citations. Previous affiliations of Abdelgadir Abuelgasim include Goddard Space Flight Center & Boston University.
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Inversion methods for physically‐based models
TL;DR: In this paper, the characteristics of the traditional inversion, table look-up, neural network and other methods are discussed as well as the major achievements, advantages/disadvantages, and research issues for each method.
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A method for detecting large-scale forest cover change using coarse spatial resolution imagery
TL;DR: Change Screening Analysis Technique (Change-SAT) as mentioned in this paper was designed as a coarse filter to identify the location and timing of large (>5-10 km 2 ) forest cover changes caused by anthropogenic and natural disturbances at an annual, continental scale.
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Change Detection Using Adaptive Fuzzy Neural Networks
TL;DR: An adaptive fuzzy neural network classifier for environmental change detection and classification applied to monitor landcover changes resulting from the Gulf War and a hybrid classifier based on conventional statistical methods (MLC/K-means classifier) is developed for comparison purposes to help evaluate the performance of the CDAF network.
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Evaluation of national and global LAI products derived from optical remote sensing instruments over Canada
TL;DR: In situ LAI measurements collected over a wide range of forest types and ecological zones in Canada are used to derive 30-m resolution reference LAI maps based on robust error-in-measurement regressions to Landsat Enhanced Thematic Mapper Plus vegetation indices.
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Classification of ASAS multiangle and multispectral measurements using artificial neural networks
TL;DR: In this paper, a multilayer feed forward neural network is trained to identify five land cover classes in Voyageurs National Park, Minnesota using multispectral data from the Advanced Solid-State Airay Spectroradiometer (ASAS).