Search
Abstract
Currently the fastest growing area of geodesy is undoubtedly remote sensing. The importance that it has recently conducted on the effectiveness of worldwide research determines its huge success. Examination of the specific characteristics of objects without direct contact with them is a key feature has opened the way to the new very interesting areas of contemporary research. In this light, it seems reasonable to say that there is a need that the modern methods of collecting and analysing remote sensing data currently widely used in the world of science and technology needs implement in the programs of teaching students, that they would be familiar with the level at which primarily remote sensing now is, and about its interdisciplinary nature. Modern remote sensing meets the expectations and provides methods from different fields of science, the one thing common is remote test of characteristic features of interested objects. This article presents the ways in which universities are trying to meet this need.
Authors (5)
-
Beata Hejmanowska dr hab. inż
- AGH, Wydział Geodezji Górniczej i Inżynierii Środowiska -
-
Krystian Pyka prof. dr hab. inż.
- AGH, Wydział Geodezji Górniczej i Inżynierii Środowiska -
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 7th International Conference on Education and New Learning Technologies strony 6549 - 6558
- ISSN:
- 2340-1117
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Hejmanowska B., Kamiński W., Przyborski M., Pyka K., Pyrchla J..: Modern remote sensing and the challenges facing education systems in terms of its teaching, W: 7th International Conference on Education and New Learning Technologies, 2015, IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT, LAURI VOLPI 6, VALENICA, BURJASSOT 46100, SPAIN,.
- Verified by:
- Gdańsk University of Technology
seen 271 times
Recommended for you
New skills for architects: 3D scanning for an immersive experience in architectural education
- S. Kowalski,
- J. Lebiedź,
- S. Parinello
- + 1 authors
Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
- A. Stateczny,
- S. C. Narahari,
- P. Vurubindi
- + 2 authors
Non-invasive investigation of a submerged medieval harbour, a case study from Puck Lagoon
- Ł. Janowski,
- A. Pydyn,
- M. Popek
- + 1 authors