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ISPRS Int. J. Geo-Inf. 2019, 8(2), 56; https://doi.org/10.3390/ijgi8020056

Comparative Evaluation of the Spectral and Spatial Consistency of Sentinel-2 and Landsat-8 OLI Data for Igneada Longos Forest

1
Institute of Science, Graduate Education Institute, Forest Engineering, Istanbul University-Cerrahpaşa, 34452 Istanbul, Turkey
2
Faculty of Civil Engineering, Department of Geomatic Engineering, Istanbul Technical University, 34469 Istanbul, Turkey
3
Faculty of Civil Engineering, Department of Geomatic Engineering, Yıldız Technical University, 34220 Istanbul, Turkey
4
Department of Geomatics Engineering, Institute of Science and Technology, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
*
Author to whom correspondence should be addressed.
Received: 9 December 2018 / Revised: 15 January 2019 / Accepted: 22 January 2019 / Published: 28 January 2019
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Abstract

This study aims to test the spectral and spatial consistency of Sentinel-2 and Landsat-8 OLI data for the potential of monitoring longos forests for four seasons in Igneada, Turkey. Vegetation indices, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI), were generated for the study area in addition to the five corresponding bands of Sentinel-2 and Landsat-8 OLI Images. Although the spectral consistency of the data was interpreted by cross-calibration analysis using the Pearson correlation coefficient, spatial consistency was evaluated by descriptive statistical analysis of investigated variables. In general, the highest correlation values were achieved for the images that were acquired in the spring season for almost all investigated variables. In the spring season, among the investigated variables, the Red band (B4), NDVI and EVI have the largest correlation coefficients of 0.94, 0.92 and 0.91, respectively. Regarding the spatial consistency, the mean and standard deviation values of all variables were consistent for all seasons except for the mean value of the NDVI for the fall season. As a result, if there is no atmospheric effect or data retrieval/acquisition error, either Landsat-8 or Sentinel-2 can be used as a combination or to provide the continuity data in longos monitoring applications. This study contributes to longos forest monitoring science in terms of remote sensing data analysis. View Full-Text
Keywords: flooded forests; Sentinel-2A; Landsat-8 OLI; spectral consistency; NDVI; NDWI; EVI flooded forests; Sentinel-2A; Landsat-8 OLI; spectral consistency; NDVI; NDWI; EVI
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Arekhi, M.; Goksel, C.; Balik Sanli, F.; Senel, G. Comparative Evaluation of the Spectral and Spatial Consistency of Sentinel-2 and Landsat-8 OLI Data for Igneada Longos Forest. ISPRS Int. J. Geo-Inf. 2019, 8, 56.

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