Assessment of soil salinity using explainable machine learning methods and Landsat 8 images
Author:
Funder
German Research Foundation
Istanbul Technical University
Publisher
Elsevier BV
Reference43 articles.
1. Semantic segmentation of soil salinity using in-situ EC measurements and deep learning based U-NET architecture;Akca;Catena,2022
2. Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data;Aksoy;Adv. Space Res.,2022
3. Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: a review;Allbed;Adv. Remote Sens.,2013
4. The grammar of interactive explanatory model analysis;Baniecki;Data Min. Knowl. Disc.,2023
5. Random Forests;Breiman;Mach. Learn.,2001
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