Original scientific paper

Evaluating the Atmospheric Correction Impact on Landsat 8 and Sentinel-2 Data for Soil Salinity Determination

Ugur Avdan ; Institute of Earth and Space Sciences, Eskisehir Technical University, Eskisehir, Turkey
Dilek Kucuk Matci orcid.org/0000-0002-4078-8782 ; Institute of Earth and Space Sciences, Eskisehir Technical University, Eskisehir, Turkey
Gordana Kaplan orcid.org/0000-0001-7522-9924 ; Institute of Earth and Space Sciences, Eskisehir Technical University, Eskisehir, Turkey
Zehra Yigit Avdan orcid.org/0000-0001-7445-3393 ; Faculty of Engineering, Eskisehir Technical University, Eskisehir, Turkey
Firat Erdem ; Institute of Earth and Space Sciences, Eskisehir Technical University, Eskisehir, Turkey
Ilknur Demirtas orcid.org/0000-0002-5264-4559 ; Graduate School of Science, Eskisehir Technical University, Eskisehir, Turkey
Ece Tugba Mızık ; Graduate School of Science, Eskisehir Technical University, Eskisehir, Turkey

Abstract

Remote sensing technology effectively determines and evaluates salinity-affected areas' spatial and temporal distribution. Soil salinity maps for large areas can be obtained with low cost and low effort using remote sensing methods and techniques. Remote sensing data are delivered raw as Level-1 data, and they can be further atmospherically corrected to surface reflectance values, Level-2 data. This study evaluates the atmospheric correction impact on Landsat 8 and Sentinel-2 data for soil salinity determination. The study has been supported with in-situ measurements in Alpu, Eskisehir, Turkey, where samples were collected from various agricultural fields simultaneously with the overpass of the satellites. Two different analysis cases have been used to determine the effect of atmospheric correction. The first is to examine the relationship between the measurements taken from the areas with mixed product groups and the salinity indices for both data types. The other is to investigate the relationship between the measurement values taken only from the wheat and beet groups and the salinity index values. The results show that atmospheric correction has a high effect on the relationship between spectral indices and in situ salinity measurement values. Especially in all cases examined in Landsat, it was observed that atmospheric correction led to an improvement of over 140%, while nearly 50% was observed in Sentinel on a product basis.

Keywords

remote sensing; atmospheric correction; soil salinity; Landsat 8; Sentinel-2

Hrčak ID:

269414

URI

https://hrcak.srce.hr/269414

Publication date:

29.9.2021.

Article data in other languages: croatian

Visits: 1.537 *