Volume IV-4/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 271-277, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-271-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 271-277, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-271-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Nov 2017

13 Nov 2017

MAPPING AND MONITORING WETLANDS USING SENTINEL-2 SATELLITE IMAGERY

G. Kaplan and U. Avdan G. Kaplan and U. Avdan
  • Anadolu University, Earth and Space Research Institute, Eskisehir, Turkey

Keywords: Wetlands; Remote Sensing; Sentinel-2; Classification; NDVI; NDWI

Abstract. Mapping and monitoring of wetlands as one of the world`s most valuable natural resource has gained importance with the developed of the remote sensing techniques. This paper presents the capabilities of Sentinel-2 successfully launched in June 2015 for mapping and monitoring wetlands. For this purpose, three different approaches were used, pixel-based, object-based and index-based classification. Additional, for more successful extraction of wetlands, a combination of object-based and index-based method was proposed. It was proposed the use of object-based classification for extraction of the wetlands boundaries and the use of Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) for classifying the contents within the wetlands boundaries. As a study area in this paper Sakarbasi spring in Eskisehir, Turkey was chosen. The results showed successful mapping and monitoring of wetlands with kappa coefficient of 0.95.