Journalartikel

Jahr der Veröffentlichung: 2022

Seiten: 5345-5362

Zeitschrift: Geocarto International

Bandnummer: 37

Heftnummer: 18

ISSN: 1010-6049

eISSN: 1752-0762

DOI Link: https://doi.org/10.1080/10106049.2021.1914745

Verlag: Taylor and Francis Group

Abstract: 
The scale of satellite images affects the recognition of landscape patterns and conditions. Therefore, this research focused on relationships between landscape fragmentation and function using multi-sensor imagery in semi-arid regions of Iran. Landscape function leakiness index (LI) and fragmentation metrics were calculated based on Sentinel-2, Landsat OLI, and MODIS data and compared using regression models and principal component analysis. Upscaled data were obtained based on changing the resolution of native Sentinel-2 from 10 to 30 m and 250 m. Results showed low (4%) and high (91%) fragmentation values in good and poor rangelands, respectively. The Sentinel-2 native LI index was the best indicator of vegetation cover (R-2 = 0.99, p < 0.001) and fragmentation (R-2 = 0.72, p < 0.05) and its upscaling to 30 m correlated better with fragmentation values than 250 m. The findings indicated that landscape functionality has reduced in the degraded areas because of increasing fragmentation and inter-patch spaces.

Harvard-Zitierstil: Safaei, M., Jafari, R., Datta, P., Bashari, H., Pothier, D. and Koch, B. (2022) Spatial scale effect of Sentinel-2, Landsat OLI, and MODIS imagery in the assessment of landscape condition of Zagros mountains, Geocarto International, 37(18), pp. 5345-5362. https://doi.org/10.1080/10106049.2021.1914745

APA-Zitierstil: Safaei, M., Jafari, R., Datta, P., Bashari, H., Pothier, D., & Koch, B. (2022). Spatial scale effect of Sentinel-2, Landsat OLI, and MODIS imagery in the assessment of landscape condition of Zagros mountains. Geocarto International. 37(18), 5345-5362. https://doi.org/10.1080/10106049.2021.1914745