Skip to main content

Remote Sensing: Background and Applications | Prof. Anthony Vodacek


GIS and Remote Seminar presented by Prof.Vodacek and Dr.Omar Althuwaynee at 23rd Dec. 2015, Izmir Turkey.

To watch the presentation video, please click here
To download the slides, please click here



Prof. Anthony Vodacek
Digital Imaging and Remote Sensing Laboratory
Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology
vodacek@cis.rit.edu

Happy learning !         

Omar F. AlThuwaynee


keywords:
Rochester institute of technology, remote sensing, environment, GIS, modeling, research, applications, data, uav, geomatics, background, image processing, satellite , aerial, tools, technology , geography, system

Comments

Popular posts from this blog

How to produce prediction maps of Natural hazards in GIS (by Videos)

How to produce prediction maps of Natural hazards in GIS (by Videos)
Introduction
Natural hazards assessment is generally performed by summing up two main independent components: the spatial and temporal probability of the occurrence of the triggering conditions, like in landslides (Guzzetti et al., 2005). 
Many studies have been conducted to address the relationship between these two components in many areas. Literature reviews address the challenges faced by scientists, planners, and land developers in the application and development of these probabilities. These reviews also highlight the uncertainties involved in data acquisition and preparation as well as in model selection and calibration techniques.
Although few studies investigated the susceptibility analysis of prone areas using statistical and data mining approaches with promising prediction accuracy. But, there was a massive ignorance to uncertainty errors that usually accumulates along the data collection, analysis methodology…

How to fill missing data using advanced imputation techniques in R?

How to fill missing data using advanced imputation techniques in R?


To watch the tutorial videos

Video part 1:
https://youtu.be/T3kFrdhXap0
Video part 2:
https://youtu.be/XmhcKjNVtc0

To download the R code and dataset:
https://goo.gl/E3jC8Z

To download the presentation slides:
https://www.slideshare.net/OmarAlthuwaynee/missing-data-and-data-imputation-techniques

Metrological data source:
https://goo.gl/eXyyaB

Code source:
https://goo.gl/o5aUUN


Happy learning!
Omar F. Althuwaynee