Comparison of MIVIS and IKONOS data for high-resolution land-cover classification in a rural/mountainous area

Tiziana Simoniello; Stefano Pignatti; Maria Lanfredi; Maria Macchiato

doi:10.1117/12.511359

13 February 2004 Comparison of MIVIS and IKONOS data for high-resolution land-cover classification in a rural/mountainous area

Tiziana Simoniello, Stefano Pignatti, Maria Lanfredi, Maria Macchiato

Author Affiliations +

Proceedings Volume 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III; (2004) https://doi.org/10.1117/12.511359
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

Land cover classification is one of the main applications of remotely sensed data and the capability of airborne hyperspectral data for such a purpose is known. The recent availability of high spatial resolution multispectral data, such as IKONOS and QuickBird, puts the question about advantages and disadvantages of these data in comparison with the hyperspectral ones. We evaluated the cost and accuracy of using IKONOS imagery to perform a land cover classification at high spatial resolution and compared them with results obtained from MIVIS airborne hyper-spectral scanner data (102 bands from VIS to TIR). The study was performed in a rural area (25 km²) of Basilicata region (Southern Italy) characterized by complex topography (altitude ranges from 600 to 1400m) and different land cover patterns (forests, lakes, cultivated areas, and small urban areas). Evaluations were made taking into account time-processing, feature extraction, accuracy for different classification levels, and costs as a function of the extension of the area to be classified. Quite high accuracies were obtained for the first classification level, whereas increasing the class number IKONOS was less accurate than MIVIS. Multispectral classification well identified the different forest species, but had some problems in distinguishing between gravel road and some plowed lands. The obtained results showed that IKONOS data are cost-effective for updating thematic maps to support planning and decision-making processes at local government scale.

Citation Download Citation

Tiziana Simoniello, Stefano Pignatti, Maria Lanfredi, and Maria Macchiato "Comparison of MIVIS and IKONOS data for high-resolution land-cover classification in a rural/mountainous area", Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); https://doi.org/10.1117/12.511359

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