Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary
Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Debrecen University Press.
2016-06-01
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| Series: | Acta Geographica Debrecina. Landscape & Environment Series |
| Subjects: | |
| Online Access: | http://landscape.geo.klte.hu/pdf/agd/2016/2016v10is2_1.pdf |
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| Summary: | Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area
using the Maximum Likelihood algorithm and used segmentation techniques for training area selection.
We validated the results of all sensors to reveal which one produced the most accurate data. According to
our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on
EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%). |
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| ISSN: | 1789-4921 1789-7556 |