SHAHEEN ALHIRMIZY

Qualifications:
1) B.Sc. Geology, Faculty of Science, University of Baghdad, Iraq (15/9/1987).
2) Certificate of Completion for Completing the “NASA Remote Sensing
Observations for Flood Management”, Applied Remote Sensing Training (ARSET)
Disaster Management National Aeronautics and Space Administration, USA August 10, 2015.
3) Certificate of Completion for Completing the “Remote Sensing Training: Methods & Best Practices” Applied Remote Sensing Training (ARSET) National Aeronautics and Space Administration, USA, October 13 – 27, 2016.
4) Certificate of Completion for Completing “Applications of Remote Sensing for Soil Moisture and Evapotranspiration” Applied Remote Sensing Training (ARSET) National Aeronautics and Space Administration, USA, September 1-29, 2016
5) Certificate of Completion for Completing “Using NASA Remote Sensing for Disaster Management” Applied Remote Sensing Training (ARSET) National Aeronautics and Space Administration, USA,
June 9 – June 30, 2016

PROFESSIONAL SKILLS:
• Image Processing Software: Experience with ENVI, ERDAS Imagine, ER Mapper, ArcView, Arc/Info, ArcGIS, Geomatica, Global mapper, Edrisi Selva etc.
• Radar image processing and interpretation, synthetic aperture radar analysis.
• Working with Tomnod team and produced an effective disaster mapper After the series of destructive earth quakes which structed Nepal, New Zealand.
• Monitoring Earthquakes, and Tsunamis Using NASA Remote Sensing and Models.
• Monitoring Landslides, Storms, & Flooding Using Remote Sensing Observations.
• Observation of Oil Spills Using Remote Sensing Measurements.
• Satellite/Aircraft Sensors: Experience with data processing, analysis & management of AVIRIS, AVHRR, Landsat, Sentinal1A, TRMM Precipitation Sensors, GPM Precipitation Sensors, ASTER, Terra and Aqua Modis,
• Detecting the areas which can contain mineral deposits like chromite, a potential copper mineralization zone in association with small granitic intrusions. In order to identify the alteration zones and mineralization characteristics of the intrusions using Landsat, ASTER, Hyperspectral, Field Spectrometry, Thermal Infrared (TIR), medium and high spatial resolution satellite images with depending on mineral spectral Reflection. Extraction of lineaments and geological Structures from remote sensing data to aid Minerals Exploration and locate outcrops, major fault zones and basic topographic control with Mapping of comprehensive, detailed and accurate lithological and geological map. A GIS–based predictive spatial analysis technique used to integrate multi ple exploration datasets in the framework of a mineral deposit mode
• Surface hydrology studies (watershed, drainage analysis) using Remote