SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA

25 citations as recorded by crossref.

1. Modeling soil salinity using direct and indirect measurement techniques: A comparative analysis A. Abdullah et al. https://doi.org/10.1016/j.envdev.2018.12.007
2. Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh S. Sarkar et al. https://doi.org/10.1038/s41598-023-44132-4
3. Dimensionality-Transformed Remote Sensing Data Application to Map Soil Salinization at Lowlands of the Syr Darya River K. Samarkhanov et al. https://doi.org/10.3390/su142416696
4. An assessment of soil salinity and vegetation cover changes for a part of An-Najaf governorate using remote sensing data E. Al-Khakani & S. Yousif https://doi.org/10.1088/1742-6596/1234/1/012023
5. USING GOOGLE EARTH™ AND GEOGRAPHICAL INFORMATION SYSTEM DATA AS METHOD TO DETECT URBAN SPRAWL AND GREEN SPACES FOR BETTER WELL BEING CASE OF A COASTAL LANDSCAPE S. Boussema et al. https://doi.org/10.29121/granthaalayah.v8.i9.2020.1524
6. Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review G. Sahbeni et al. https://doi.org/10.3390/rs15102540
7. Increases in the soil ammonia oxidizing phylotypes and their rechange due to long-term irrigation with wastewater E. Aguilar-Rangel et al. https://doi.org/10.1371/journal.pone.0299518
8. Degradation Assessment of the M’zab Valley Oases in Algeria S. Sabrine et al. https://doi.org/10.1080/23754931.2024.2405932
9. Geospatial Assessment of Land Degradation and Desertification in the Semi-Arid Areas of Balochistan, Pakistan S. Anum et al. https://doi.org/10.1007/s10708-025-11537-9
10. Spatial prediction and mapping of soil salinity using machine learning and remote sensing covariates G. Gowera et al. https://doi.org/10.1139/cjss-2025-0092
11. Mapping the Soil Salinity Distribution and Analyzing Its Spatial and Temporal Changes in Bachu County, Xinjiang, Based on Google Earth Engine and Machine Learning Y. Zhang et al. https://doi.org/10.3390/agriculture14040630
12. A study of the responsiveness of crops to fertilizers by zones of stable intra-field heterogeneity based on big satellite data analysis N. Khitrov et al. https://doi.org/10.1080/03650340.2019.1703957
13. Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil–Land Inference Model S. Gao et al. https://doi.org/10.3390/agronomy13123074
14. Identification of salt-affected soils using remote sensing data through random forest technique: a case study from India A. Rani et al. https://doi.org/10.1007/s12517-022-09682-3
15. Assessment of the vulnerability of coastal agriculture to seawater intrusion using remote sensing, GIS, and Multi-Criteria Decision Analysis N. Gatdula & A. Blanco https://doi.org/10.1080/17538947.2024.2367733
16. An integrated approach to investigate surface and root zone salinity from multispectral and microwave remote sensing techniques S. Periasamy & K. Ravi https://doi.org/10.1007/s13762-024-05513-y
17. Precise Monitoring of Soil Salinity in China’s Yellow River Delta Using UAV-Borne Multispectral Imagery and a Soil Salinity Retrieval Index X. Yu et al. https://doi.org/10.3390/s22020546
18. Integrating machine learning with multitemporal remote sensing to quantify spatial soil salinity R. Amir Latif et al. https://doi.org/10.1016/j.ejrs.2025.08.005
19. Enhancing Soil Salinity Evaluation Accuracy in Arid Regions: An Integrated Spatiotemporal Data Fusion and AI Model Approach for Arable Lands T. Su et al. https://doi.org/10.3390/land13111837
20. Soil salinity mapping using Landsat 8 OLI data and regression modeling in the Great Hungarian Plain G. Sahbeni https://doi.org/10.1007/s42452-021-04587-4
21. Combined remote sensing and multi-criteria analysis of wetland soil potential for rice production: case study of Ogun river basin, Nigeria A. Tobore et al. https://doi.org/10.1080/19376812.2022.2104736
22. Monitoring of Soil Salinity in the Weiku Oasis Based on Feature Space Models with Typical Parameters Derived from Sentinel-2 MSI Images N. Tashpolat & A. Reheman https://doi.org/10.3390/land14020251
23. Identification of flood hazard-prone coastal zones using remote sensing tools: a study from the Sundarbans Deltaic Region of West Bengal, India S. Majumder et al. https://doi.org/10.1007/s43538-025-00681-y
24. Mapping the Spatiotemporal Nexus of Soil Moisture and Salinity in Semi-Arid Croplands for Sustainable Agriculture M. Moisa et al. https://doi.org/10.1007/s41748-025-01007-0
25. Monitoring the physical changes of lakes Bakhtegan and Tashk through land surface temperature and groundwater-level changes using remote-sensing technology A. Nasiri et al. https://doi.org/10.1007/s12665-023-11117-5