Geographic information systems (GIS), mapping, and geostatistics
Rozenstein, O. and Karnieli, A. 2011. Comparison of methods for land-use classification incorporating remote sensing and GIS inputs. Applied Geography,31, 533-544.
Volcani, A., Karnieli, A. and Svoray, T. The use of remote sensing and GIS for spatio-temporal analysis of the physiological state of a semi-arid forest with respect to drought years. Accepted for publication in Forest Ecology and Management.
Okeke, F. and Karnieli, A. Methods for fuzzy classification and accuracy assessment of historical aerial photographs for vegetation change analyses. Part I: Algorithm development. Accepted for publication in International Journal of Remote Sensing.
Levin, N., Ben-Dor, E. and Karnieli A. 2004. Topographic information of sand dunes as extracted from shading effects using Landsat images. Remote Sensing of Environment, 90, 190-209.
Karnieli, A., Verchovsky, I., Hall, J.K., and Oren, E. 1998. Geographic information system for semi-detailed mapping of soils in semi-arid region. Geocarto International, 13(3), 29-43.
Ichoku, C., Karnieli, A. and Verchovsky I. 1996. Application of fractal techniques to the comparative evaluation of two methods of extracting channel networks from Digital Elevation Models. Water Resources Research, 32, 389-399.
Karnieli, A., Meisels, A., Fisher L. and Arkin, Y. 1996. Automatic extraction and evaluation of geological linear features from digital remote sensing data using a Hough transform. Photogrammetric Engineering and Remote Sensing,62, 525-531.
Ichoku, C., Karnieli, A., Meisels, A. and Chorowicz, J. 1996. Detection of drainage channel networks on conventional digital satellite images. International Journal of Remote Sensing, 8, 1659-1678.
Meisels, A., Raizman, S. and Karnieli, A. 1995. Skeletonizing a DEM into a drainage network. Computers & Geosciences, 21, 187-196.
Karnieli, A. 1991. Stepwise overlay approach for utilizing a geographic information system with a soil moisture accounting model. ITC Journal, 1991-1, 11-18.
Posters & Presentations
COMPARISON OF METHODS FOR LAND-USE CLASSIFICATION INCORPORATING REMOTE SENSING AND GIS INPUTS