Monitoring salinity in bare soil based on Sentinel-1/2 image fusion and machine learning
Author:
Publisher
Elsevier BV
Subject
Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference56 articles.
1. Multidimensional soil salinity data mining and evaluation from different satellites;Cao;Sci. Total Environ.,2022
2. Using spatiotemporal fusion algorithms to fill in potentially absent satellite images for calculating soil salinity: A feasibility study;Han;Int. J. Appl. Earth Obs. Geoinf.,2022
3. 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
4. Estimating the soil salinity over partially vegetated surfaces from multispectral remote sensing image using non-negative matrix factorization;Liu;Geoderma,2019
5. Improving remote sensing of salinity on topsoil with crop residues using novel indices of optical and microwave bands;Wang;Geoderma,2022
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1. Evaluating Drought Effects on Soil: Innovative Soil Salinity Monitoring via SAR Data, Sentinel-2 Imagery, and Machine Learning Algorithms in Kerkennah Archipelago;Atmosphere;2023-09-29
2. Spatiotemporal Variation and Future Predictions of Soil Salinization in the Werigan–Kuqa River Delta Oasis of China;Sustainability;2023-09-21
3. Application of Machine Learning Algorithms for Digital Mapping of Soil Salinity Levels and Assessing Their Spatial Transferability in Arid Regions;Land;2023-08-28
4. Spatial Prediction and Mapping of Soil Water Content by TPE-GBDT Model in Chinese Coastal Delta Farmland with Sentinel-2 Remote Sensing Data;Agriculture;2023-05-19
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