A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA

18 citations as recorded by crossref.

1. Future runoff assessment under climate change and land-cover alteration scenarios: a case study of the Zayandeh-Roud dam upstream watershed A. Ahmadi et al. 10.2166/nh.2022.056
2. Model averaging of machine learning algorithms for digital soil mapping: A minimum variance framework P. Bogaert et al. 10.1016/j.geoderma.2023.116604
3. Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study F. Nininahazwe et al. 10.1080/15481603.2023.2190203
4. Soil security under salt attack: Protection of the soil against the salinization caused by drying up of Lake Urmia M. Faryadi 10.1016/j.soisec.2023.100113
5. Multispectral data mining: A focus on remote sensing satellite images S. Lim et al. 10.1002/widm.1522
6. Potential evaluation of visible-thermal UAV image fusion for individual tree detection based on convolutional neural network F. Moradi et al. 10.1016/j.jag.2022.103011
7. Oil palm yield prediction across blocks from multi-source data using machine learning and deep learning Y. Ang et al. 10.1007/s12145-022-00882-9
8. Root-Zone Salinity in Irrigated Arid Farmland: Revealing Driving Mechanisms of Dynamic Changes in China’s Manas River Basin over 20 Years G. Yang et al. 10.3390/rs16224294
9. Prediction of Soil Salinity/Sodicity and Salt-Affected Soil Classes from Soluble Salt Ions Using Machine Learning Algorithms D. Andrade Foronda & G. Colinet 10.3390/soilsystems7020047
10. Adaptive estimation of multi-regional soil salinization using extreme gradient boosting with Bayesian TPE optimization B. Chen et al. 10.1080/01431161.2021.2009589
11. Estimating soil salinity using multiple spectral indexes and machine learning algorithm in Songnen Plain, China H. Ge et al. 10.1109/JSTARS.2023.3274579
12. Mapping common and glossy buckthorns (Frangula alnusandRhamnus cathartica) using multi-date satellite imagery WorldView-3, GeoEye-1 and SPOT-7 F. Nininahazwe et al. 10.1080/17538947.2022.2162136
13. Assessment of soil salinity using explainable machine learning methods and Landsat 8 images S. Aksoy et al. 10.1016/j.jag.2024.103879
14. A Global Meta-Analysis of Soil Salinity Prediction Integrating Satellite Remote Sensing, Soil Sampling, and Machine Learning H. Shi et al. 10.1109/TGRS.2021.3109819
15. Extracting Plastic Greenhouses from Remote Sensing Images with a Novel U-FDS Net Y. Mo et al. 10.3390/rs15245736
16. Exploring the Potential of PRISMA Satellite Hyperspectral Image for Estimating Soil Organic Carbon in Marvdasht Region, Southern Iran M. Golkar Amoli et al. 10.3390/rs16122149
17. Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils R. Mukhamediev et al. 10.3390/agronomy14092103
18. Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean S. Mohammed et al. 10.1016/j.jenvman.2024.122640