Abstract
Millions of people of all ages and expertise are using satellite and aerial data as an important input for their work in many different fields. Satellite data are also gradually finding a new place in education, especially in the fields of geography and in environmental issues. The article presents the results of an extensive research in the area of visual interpretation of image data carried out in the years 2013 - 2015 in the Czech Republic. The research was aimed at comparing the success rate of the interpretation of satellite data in relation to a) the substrates (to the selected colourfulness, the type of depicted landscape or special elements in the landscape) and b) to selected characteristics of users (expertise, gender, age). The results of the research showed that (1) false colour images have a slightly higher percentage of successful interpretation than natural colour images, (2) colourfulness of an element expected or rehearsed by the user (regardless of the real natural colour) increases the success rate of identifying the element (3) experts are faster in interpreting visual data than non-experts, with the same degree of accuracy of solving the task, and (4) men and women are equally successful in the interpretation of visual image data.
Highlights
The development of technology and the Internet has opened up the opportunity to use aerial and satellite images to people of many disciplines and interests
It is a specific process of studying the geographical reality based on the detection, identification and spatial localization of individual objects and terrain shapes captured in aerial photographs and satellite image records
The interpretation of digital images is basically possible in two ways, usually referred to as visual interpretation and computer interpretation
Summary
The development of technology and the Internet has opened up the opportunity to use aerial and satellite images to people of many disciplines and interests. The basic task in the interpretation of aerial and satellite images is systematically "reading" their contents, which includes correct recognition and classification of individual objects, determining their properties, quantitative and qualitative characteristics, accurate spatial (positional) location of the detected objects, examination and evaluation of interrelationships and causalities between the displayed objects and the phenomena, analysing these linkages and identifying patterns characterizing the crucial ingredients and attributes of the pictured area. This is a condition for its identification and facilitates the decision making proces supported by the images (Hoskova-Mayerova et al, 2013). This research study is aimed at the interpretation of image data by non-professionals
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
