Change detection for Finnish CORINE land cover classification

Markus Törmä; Pekka Härmä; Suvi Hatunen; Riitta Teiniranta; Minna Kallio; Elise Järvenpää

doi:10.1117/12.898069

26 October 2011 Change detection for Finnish CORINE land cover classification

Markus Törmä, Pekka Härmä, Suvi Hatunen, Riitta Teiniranta, Minna Kallio, Elise Järvenpää

Proceedings Volume 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II; 81810Q (2011) https://doi.org/10.1117/12.898069
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

This paper describes the ideas, data and methods to produce Finnish Corine Land Cover 2006 (CLC2006) classification. This version is based on use of existing national GIS data and satellite images and their automated processing, instead of visual interpretation of satellite images. The main idea is that land use information is based on GIS datasets and land cover information interpretation of satellite images. Because Finland participated to CLC2000-project, also changes between years 2000 and 2006 are determined. Finnish approach is good example how national GIS data is used to produce data fulfilling European needs in bottom-up fashion.

Citation Download Citation

Markus Törmä, Pekka Härmä, Suvi Hatunen, Riitta Teiniranta, Minna Kallio, and Elise Järvenpää "Change detection for Finnish CORINE land cover classification", Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810Q (26 October 2011); https://doi.org/10.1117/12.898069

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available