Igor Florinsky

Igor Florinsky
Keldysh Institute of Applied Mathematics · Institute of Mathematical Problems of Biology

Ph.D., D.Sc.


How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
Igor V. Florinsky received the M.Sc. degree in reprography, Ph.D. degree in remote sensing and photogrammetry, and D.Sc. degree in cartography from the Moscow State University of Geodesy and Cartography (MIIGAiK), Russia, in 1989, 1993, and 2010, respectively. Currently, he is a Principal Research Scientist at the Institute of Mathematical Problems of Biology, Keldysh Institute of Applied Mathematics, Russian Academy of Sciences. He is the author or editor of over 150 publications including 4 books and 60 papers in peer-reviewed journals. His research interests include theory, methods, and applications of digital terrain modeling and geomorphometry, as well as the influence of geological environment on humans, society, and civilization.


Cited By


Projects (4)
https://www.mdpi.com/journal/remotesensing/special_issues/DTM Guest Editor: Igor Florinsky Special Issue Information Topography is one of the main factors controlling processes taking place in the near-surface layer of the planet. At the same time, being a result of the interaction of endogenous and exogenous processes of different scales, topography reflects the geological structure of a terrain. Digital terrain modeling and geomorphometry deals with quantitative modeling and analysis of the topographic surface and relationships between topography and other natural and artificial components of geosystems. Digital terrain analysis and geomorphometric modeling are widely used to solve various multiscale problems of geomorphology, hydrology, soil science, geology, geophysics, geobotany, glaciology, oceanology, climatology, planetology, and other disciplines. In digital terrain modeling and geomorphometry, the initial data are digital elevation models (DEMs). Currently, DEMs are predominantly produced from remote sensing data. To create medium-resolution DEMs (tens of meters resolution), satellite data are used. Nearly-global models (e.g., SRTM1 DEM, ASTER GDEM, AW3D30 DSM) are currently utilized for producing filtered and edited DEMs with a regional, national, and global coverage. To create high- and very high-resolution DEMs (meter- and centimeter-range resolution), data from unmanned aerial systems (UASs) are used. To present a current overview of the advancement of remote sensing and photogrammetry in digital terrain modeling and geomorphometry, we invite papers on the following but non-exhaustive list of topics: - Methods to produce and edit near-global and regional DEMs using publicly available, satellite-based DEMs (e.g., SRTM1 DEM + ASTER GDEM + AW3D30 DSM); - Methods to derive high- and very high-resolution DEMs from UAS-based imagery; - Methods to reduce high-frequency noise in UAS-based, high- and very high-resolution DEMs; - Methods to remove artifacts from satellite- and UAS-based DEMs; - Application of satellite- and UAS-based DEMs to solve multiscale problems of geosciences.
Archived project
Individual chapters of the book "Digital Terrain Analysis in Soil Science and Geology" - 1st ed.
Archived project
Individual chapters of the book "Digital Terrain Analysis in Soil Science and Geology" - 2nd ed.