Digital Soil Mapping Dataset — Northern Kazakhstan Steppe Zone (2022–2023)
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866902048994230272 |
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| author | Ysqaq, A. Yermoldina, G.T. Nugmanov, A.B. Rakhimbayev, B.S. Suyimbayeva, Zh. Fominov, V.D. Irzhanov, Zh.B. Paramonova, T.A. Bulayev, A.G. |
| author_facet | Ysqaq, A. Yermoldina, G.T. Nugmanov, A.B. Rakhimbayev, B.S. Suyimbayeva, Zh. Fominov, V.D. Irzhanov, Zh.B. Paramonova, T.A. Bulayev, A.G. |
| contents | <p>Multimodal remote sensing and soil agrochemical dataset for digital soil mapping in the steppe zone of Northern Kazakhstan.</p><p><strong>Study area:</strong> Kostanay Region, 20 farms, 81 fields, 1,085 soil samples (2022–2023).</p><p><strong>Soil properties (targets):</strong> pH, SOC (humus), NO₃, P₂O₅, K₂O, S — analyzed per GOST standards at certified laboratories.</p><p><strong>Remote sensing features:</strong></p><ul><li>Sentinel-2 MSI (10–20 m): 10 spectral bands + 16 vegetation/soil indices × 4 seasons</li><li>Landsat-8 OLI (30 m): 6 bands + 3 indices × 4 seasons</li><li>Sentinel-1 SAR (10 m): VV, VH, VV/VH</li><li>SRTM DEM (30 m): elevation, slope, aspect, TWI, TPI, curvatures</li><li>ERA5-Land (0.1°): MAT, MAP, growing-season temperature and precipitation</li></ul><p><strong>Derived features:</strong> GLCM textures, cross-sensor ratios, seasonal deltas, temporal statistics, spectral engineering (PCA, band ratios).</p><p><strong>CNN patches:</strong> Pre-extracted image patches (8×8 to 64×64 px) for deep learning models.</p><p><strong>Associated code:</strong> <a href="https://github.com/vel5id/science_SOC_predicting">github.com/vel5id/science_SOC_predicting</a></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19495929 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Digital Soil Mapping Dataset — Northern Kazakhstan Steppe Zone (2022–2023) Ysqaq, A. Yermoldina, G.T. Nugmanov, A.B. Rakhimbayev, B.S. Suyimbayeva, Zh. Fominov, V.D. Irzhanov, Zh.B. Paramonova, T.A. Bulayev, A.G. digital soil mapping remote sensing soil properties machine learning Northern Kazakhstan Sentinel-2 Landsat-8 precision agriculture <p>Multimodal remote sensing and soil agrochemical dataset for digital soil mapping in the steppe zone of Northern Kazakhstan.</p><p><strong>Study area:</strong> Kostanay Region, 20 farms, 81 fields, 1,085 soil samples (2022–2023).</p><p><strong>Soil properties (targets):</strong> pH, SOC (humus), NO₃, P₂O₅, K₂O, S — analyzed per GOST standards at certified laboratories.</p><p><strong>Remote sensing features:</strong></p><ul><li>Sentinel-2 MSI (10–20 m): 10 spectral bands + 16 vegetation/soil indices × 4 seasons</li><li>Landsat-8 OLI (30 m): 6 bands + 3 indices × 4 seasons</li><li>Sentinel-1 SAR (10 m): VV, VH, VV/VH</li><li>SRTM DEM (30 m): elevation, slope, aspect, TWI, TPI, curvatures</li><li>ERA5-Land (0.1°): MAT, MAP, growing-season temperature and precipitation</li></ul><p><strong>Derived features:</strong> GLCM textures, cross-sensor ratios, seasonal deltas, temporal statistics, spectral engineering (PCA, band ratios).</p><p><strong>CNN patches:</strong> Pre-extracted image patches (8×8 to 64×64 px) for deep learning models.</p><p><strong>Associated code:</strong> <a href="https://github.com/vel5id/science_SOC_predicting">github.com/vel5id/science_SOC_predicting</a></p> |
| title | Digital Soil Mapping Dataset — Northern Kazakhstan Steppe Zone (2022–2023) |
| topic | digital soil mapping remote sensing soil properties machine learning Northern Kazakhstan Sentinel-2 Landsat-8 precision agriculture |
| url | https://doi.org/10.5281/zenodo.19495929 |