Uri Gilad
PhD candidate
Research focus
Predictive modeling of archeological sites by GIS and remote sensing
Supervisors
Dr. Xuan Zhu, Prof. Marika Vicziany
Thesis title
The Kashgar oasis: Predictive modeling of ancient settlement distribution by means of GIS and remote sensing
Research aims
- Establish an effective approach for modeling archaeological sites in the ancient Kashgar Oasis
- Generate an archaeological predictive model for the area and assess its accuracy
- Explore the spatial relationship between archaeological sites: settlements, stupas, tombs and burial sites
Publications
Karnieli, A., Gilead, U., Ponzet, M., Svoray, T., Mirzadinov, R. and Fedorina, O. Assessing land cover changes around watering points in the Central Asian deserts using satellite image processing and geo-statistical methods. Remote Sensing of Environment (In review, Submitted May 2006).
Karnieli, A., Gilead, U., Ponzet, M. and Svoray, T. Satellite image processing and geo-statistical methods for assessing land degradation around watering points in the Central Asian deserts. In A. Roder and J. Hill (Eds.) Proceedings of the 1st International Conference on Remote Sensing and Geoinformation Processing in the Assessmentand Monitoring of Land Degradation and Desertification, held in Trier (Germany), September 7-9, 2005. pp. 301-308.
Gilead, U. and Karnieli, A. (2004). Locating potential vicarious calibration sites for high-spectral resolution sensors in the Negev Desert by GIS analysis. In: Moran, S.A. and Budge, A.M. (Eds.) Post Calibration of satellite Sensors, A.A. Balkema Publishers, Leiden, 181-187.
Conferences
Karnieli, A., Gileadu, U., Poznat, M. and Svoray, T., Satellite Image Processing and Geo-statistical Methods for Assessing Land Degradation around Watering Points in the Central Asian Desert. International Conference on Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification. Trier,Germany, September 7-9, 2005.
Gilead, U. and Karnieli, A., Validation of SPOT 4 HRVIR1 data at Shizafon Playa. ILSPRS (Israeli Society of Photogrammetry and Remote Sensing) Annual Meeting, Tel-Aviv: May 26, 2005.
Previous research experience
- Performing and analyzing vicarious calibration for multi-spectral satellite sensors over arid regions
- BRDF measurements and data analysis, in framework of the project "Testing a Soil Bidirectional Model for Satellite Image Correction of Desert Surfaces"
- Geostatistical analysis and mapping using ‘Kriging’ interpolation methods in framework of the project "Assessing land degradation in the Central Asian Deserts with respect to Socio-economic changes after the collapse of the Soviet Union using satellite image processing and geo-statistical methods"
- Landuse and land cover change analysis using satellite images in framework of the project “Assessing human impact on land cover changes in Mali using remote sensing methods and GIS”
- Classify and map land cover in Nigeria in framework of the project "Ile - Ife Dam Project - Topographic Land Survey of Dam Site and the Surrounding Area"
- Mapping research sites in Israel in framework of the ‘Venµs’ satellite project
Software packages and field instruments
ESRI computer software (ArcInfo, ArcView, Erdas Imagine), ENVI, 6S, Surfer, STATISTICA, Photoshop, Microsoft Office, FrontPage. Field Spectrometers, GPS.
E-mail: Uri.Gilad@arts.monash.edu