Indirect Estimation of Subsoil Aggregate Indices Based on Hyperspectral Vis-NIR Data in the Loess Hilly-gully Region
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42729-024-01949-w.pdf
Reference43 articles.
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2. Annabi M, Raclot D, Bahri H, Bailly JS, Gomez C, Le Bissonnais Y (2017) Spatial variability of soil aggregate stability at the scale of an agricultural region in Tunisia. CATENA 153:157–167. https://doi.org/10.1016/j.catena.2017.02.010
3. Ayoubi S, Shahri AP, Karchegani PM, Sahrawat KL (2011) Application of artificial neural network (ANN) to predict soil organic matter using remote sensing data in two ecosystems. Biomass and remote sensing of biomass
4. Baranian Kabir E, Bashari H, Mosaddeghi MR, Bassiri M (2017) Soil aggregate stability and organic matter as affected by land-use change in central Iran. Arch Agron Soil Sci 63:1823–1837. https://doi.org/10.1080/03650340.2017.1308492
5. Baumert VL, Vasilyeva NA, Vladimirov AA, Meier IC, Kögel-Knabner I, Mueller CW (2018) Root exudates Induce Soil Macroaggregation facilitated by Fungi in Subsoil. Front Environ Sci 6. https://doi.org/10.3389/fenvs.2018.00140
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