Ayman Abdel-Hamid

ORCID: 0000-0002-4931-6765
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About
Contact & Profiles
Research Areas
  • Hydrology and Drought Analysis
  • Remote Sensing in Agriculture
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing and LiDAR Applications
  • Climate variability and models
  • Flood Risk Assessment and Management
  • Soil Moisture and Remote Sensing
  • Geographic Information Systems Studies
  • Landslides and related hazards
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Coastal wetland ecosystem dynamics
  • Soil erosion and sediment transport
  • Land Use and Ecosystem Services
  • Remote-Sensing Image Classification
  • Climate change impacts on agriculture
  • Network Security and Intrusion Detection

Arab Academy for Science, Technology, and Maritime Transport
2013-2024

University of Bonn
2017-2021

National Authority for Remote Sensing and Space Sciences
2018

Eastern Cape Province in South Africa has experienced extreme drought events during the last decade. In Africa, different land management systems exist belonging to two tenure classes: commercial large scale farming and communal small-scale subsistence farming. Communal lands are often reported be affected by degradation among others considered as trigger for this process. Against background, we analyzed vegetation response through assessing productivity trends monitoring intensity,...

10.3390/su9101728 article EN Sustainability 2017-09-26

Mangroves ecosystems dominate the coastal wetlands of tropical and subtropical regions throughout world. They are among most productive forest ecosystems. provide various ecological economic ecosystem services. Despite their importance, mangroves experience high yearly loss rates. There is a growing demand for mapping assessing changes in extents especially context climate change, land use related threats to The main objective this study develop an approach on Red Sea coastline Egypt,...

10.3390/su10030646 article EN Sustainability 2018-02-28

This study evaluates the potential of repeat-pass synthetic aperture radar interferometry (InSAR) coherence for grasslands monitoring in Eastern Cape Province, South Africa. We used 12 pairs InSAR data Interferometric Wide swath mode (IW), VV-polarization (with different spatial baseline B⊥ and temporal repeat intervals between subsequent acquisitions), covering area during two growing seasons; drought season (2015/2016) non-drought (2016/2017). Results show that has higher variability...

10.1016/j.jag.2021.102306 article EN cc-by International Journal of Applied Earth Observation and Geoinformation 2021-02-05

Grasslands are a major component of the natural vegetation in South Africa, it covers almost one-third country's land surface. The current study focuses on assessing impact drought stress communal and commercial grasslands Eastern Cape Province using multi-temporal analysis Sentinel-1 SAR data. Data included retrieval biophysical parameters backscattering coefficients. Correlation was performed between data NDVI values derived from Landsat-8 optical A linear mixed-effects regression for...

10.1080/22797254.2020.1762514 article EN cc-by European Journal of Remote Sensing 2020-05-18

Drought is one of the most severe natural disasters with a high risk for human livelihoods. Remote sensing based drought indices can identify dry periods using, e.g., precipitation or vegetation information. Besides frequency, duration, and intensity, timing onset duration are important variables to measure impact risk. This article classifies events on regard their production during different crop growing stages. nondrought seasons analyzed in Eastern Cape Province, South Africa. Here,...

10.1109/jstars.2019.2963576 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020-01-01

10.1109/isncc62547.2024.10758968 article EN 2022 International Symposium on Networks, Computers and Communications (ISNCC) 2024-10-22

10.1109/iccta35431.2014.9521607 article EN 2014-10-25

10.1109/iccta40200.2016.9512936 article EN 2016-10-25

10.1109/iccta32607.2013.9529426 article EN 2013-10-29

10.1109/iccta43079.2017.9497168 article 2017-10-28

Drought is one of the most severe natural disasters with highest risk for human livelihoods. Remote sensing based drought indices can identify dry periods using e.g. precipitation or vegetation information. Besides frequency, duration and intensity, timing a onset an important variable to measure risk. This study classifies events on onsets duration. non-drought seasons are analyzed in two sites South Africa Ukraine where characteristics different. highly depends starting point rainfall,...

10.1109/igarss.2018.8517584 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2018-07-01
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