الملف الأكاديمي

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Research Intersets
Qualifications
Publications
Prof. Nawras Nayef Turky Shatnawi
Professor of Surveying Engineering and Geomaticsics
PROFESSOR
FACULTY OF ENGINEERING
https://www.bau.edu.jo/user/@nnshatnawi
 Major: Civil Engineering
 Minor: Surveying Engineering and Geomiatics
 nnshatnawi@bau.edu.jo
 0797235408
عربي
ORCID ID: https://orcid.org/0000-0001-6752-1810 View this author?s ORCID profile
WoS: https://mjl.clarivate.com/home
Scopus Author ID: 57202075267
Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=57202075267
Researcher ID: 2000866
Google Scholar: https://scholar.google.com/citations?user=DkKer_QAAAAJ&hl=en

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Experienced in the use of Geomatics tools and techniques to provide accurate land and
infrastructure measurements, including Global Navigation Satellite Systems (GNSS)
and Remote Sensing.
Proficient in the application of various remote sensing approaches, including optical,
microwave and LiDAR, to extract information about the environment.
Experienced in using remote sensing technologies to monitor and assess water
resources, including analysis of water quality, quantity, and distribution.
Skilled in spatial analysis techniques, including Geostatistics, interpolation, and spatial
modeling, to support decision-making and problem solving.
Adept in using Python and its geospatial libraries, including GeoPandas, Folium and
Rasterio, to manipulate, analyze, and visualize geospatial data.
Experienced in the processing and analysis of satellite imagery and multispectral drone
data to extract information about the environment, including land use and land cover,
vegetation, water bodies and topographic features.

Research Intersets:
Surveying Engineering and Geomaticsics
Remote Sensing and Photogrammetry

Qualifications
# Degree University Specialization Graduation year
1PHDKarlsruhe Institute of TechnologyGeomatics Engineering2014

Publications
1- Mapping the thermal footprint of a municipal solid waste landfill using remote sensing and artificial intelligence ,Applied Geomatics, 2024,Vol. 16,no. 1.
2- Intelligent system for solid waste classification using combination of image processing and machine learning models ,Journal of Experimental & Theoretical Artificial Intelligence, 2024,Vol. 28,no. 1.
3- Monitoring Urban Expansion as a Result of Refugee Fluxes in North Jordan Using Remote Sensing Techniques ,Journal of the Urban Planning and Development Division, ASCE, 2020,Vol. 146,no. 3.


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