RETRIEVAL AND MAPPING OF HEAVY METAL CONCENTRATION IN SOIL USING TIME SERIES LANDSAT 8 IMAGERY

8 citations as recorded by crossref.

1. Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models Y. Fang et al. https://doi.org/10.3390/rs14102311
2. Comparison of laser-induced breakdown spectroscopy, colour sensing, as well as visible, near-infrared, and mid-infrared spectroscopy to predict soil properties M. Marmette et al. https://doi.org/10.1016/j.geoderma.2025.117638
3. From mineral exploration to mine closure: a systematic review of multispectral and hyperspectral remote sensing for soil monitoring in mining landscapes M. Lenardón Sánchez et al. https://doi.org/10.1080/22797254.2026.2708095
4. Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7 A. Mouazen et al. https://doi.org/10.3390/rs13224615
5. Optical remote spectral acquisition of elemental stoichiometry J. Reeves et al. https://doi.org/10.3389/fevo.2024.1505125
6. Spatial assessment of heavy metal variation in agricultural soils irrigated by the Kali river, Aligarh District, India, based on Sentinel-2A imagery S. Khan & S. Said https://doi.org/10.1080/00207233.2025.2535117
7. Monitoring Heavy Metals and Metalloids in Soils and Vegetation by Remote Sensing: A Review V. Lovynska et al. https://doi.org/10.3390/rs16173221
8. Mapping soil trace metal distribution using remote sensing and multivariate analysis S. Singh https://doi.org/10.1007/s10661-024-12682-3