Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/55806E25-131E-4738-9E12-C2553A9759F1 | - |
| Αναγνωριστικό | https://doi.org/10.3390/rs12020319 | - |
| Αναγνωριστικό | https://www.mdpi.com/2072-4292/12/2/319/htm | - |
| Γλώσσα | en | - |
| Μέγεθος | 25 pages | en |
| Μέγεθος | 9,47 megabytes | en |
| Τίτλος | Exploring the impact of various spectral indices on land cover change detection using change vector analysis: a case study of Crete island, Greece | en |
| Δημιουργός | Polykretis Christos | en |
| Δημιουργός | Gryllakis Emmanouil | en |
| Δημιουργός | Γρυλλακης Εμμανουηλ | el |
| Δημιουργός | Alexakis Dimitrios | en |
| Δημιουργός | Αλεξακης Δημητριος | el |
| Εκδότης | MDPI | en |
| Περίληψη | The main objective of this study was to explore the impact of various spectral indices on the performance of change vector analysis (CVA) for detecting the land cover changes on the island of Crete, Greece, between the last two decades (1999–2009 and 2009–2019). A set of such indices, namely, normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), albedo, bare soil index (BSI), tasseled cap greenness (TCG), and tasseled cap brightness (TCB), representing both the vegetation and soil conditions of the study area, were estimated on Landsat satellite images captured in 1999, 2009, and 2019. Change vector analysis was then applied for five different index combinations resulting to the relative change outputs. The evaluation of these outputs was performed towards detailed land cover maps produced by supervised classification of the aforementioned images. The results from the two examined periods revealed that the five index combinations provided promising performance results in terms of kappa index (with a range of 0.60–0.69) and overall accuracy (with a range of 0.86–0.96). Moreover, among the different combinations, the use of NDVI and albedo were found to provide superior results against the other combinations. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2021-09-29 | - |
| Ημερομηνία Δημοσίευσης | 2020 | - |
| Θεματική Κατηγορία | Land cover | en |
| Θεματική Κατηγορία | Change vector analysis | en |
| Θεματική Κατηγορία | Spectral index | en |
| Θεματική Κατηγορία | Landsat | en |
| Θεματική Κατηγορία | Crete | en |
| Θεματική Κατηγορία | Greece | en |
| Βιβλιογραφική Αναφορά | C. Polykretis, M. Grillakis, and D. Alexakis, “Exploring the impact of various spectral indices on land cover change detection using change vector analysis: a case study of Crete island, Greece,” Remote Sens., vol. 12, no. 2, Jan. 2020. doi: 10.3390/rs12020319 | en |
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