DocumentCode :
2670524
Title :
Change detection using spatial data problems and challenges
Author :
Törmä, Markus ; Härmä, Pekka ; Järvenpää, Elise
Author_Institution :
Finnish Environ. Inst. SYKE, Helsinki
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
1947
Lastpage :
1950
Abstract :
This article describes the SYKE´s approach to change detection using high and medium resolution satellite images and present experiences concerning change detection. If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical ground truth information makes the classification of old images and the validation of result difficult. The size of reliably detectable change in the case of forest clear cuts seems to be 5 pixels. The most important characteristics of map data are metadata and accuracy assessment.
Keywords :
forestry; geophysical signal processing; image classification; remote sensing; vegetation mapping; visual databases; SYKE; atmospheric correction; change detection; cloud-free Landsat images; digital map data; forest clearing; high resolution satellite images; historical ground truth information; image classification; land use; medium resolution satellite images; spatial data; Geometry; Image resolution; Instruments; MODIS; Radiometry; Remote sensing; Satellites; Soil moisture; Spatial resolution; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423208
Filename :
4423208
Link To Document :
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