Cargando…
Multi-scale digital soil mapping with deep learning
We compared different methods of multi-scale terrain feature construction and their relative effectiveness for digital soil mapping with a Deep Learning algorithm. The most common approach for multi-scale feature construction in DSM is to filter terrain attributes based on different neighborhood siz...
Autores principales: | Behrens, Thorsten, Schmidt, Karsten, MacMillan, Robert A., Viscarra Rossel, Raphael A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189054/ https://www.ncbi.nlm.nih.gov/pubmed/30323355 http://dx.doi.org/10.1038/s41598-018-33516-6 |
Ejemplares similares
-
The relevant range of scales for multi-scale contextual spatial modelling
por: Behrens, Thorsten, et al.
Publicado: (2019) -
On the interpretability of predictors in spatial data science: the information horizon
por: Behrens, Thorsten, et al.
Publicado: (2020) -
Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change
por: Viscarra Rossel, Raphael A, et al.
Publicado: (2014) -
Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils †
por: Dhawale, Nandkishor M., et al.
Publicado: (2022) -
Assessment of the Effect of Soil Sample Preparation, Water Content and Excitation Time on Proximal X-ray Fluorescence Sensing
por: Li, Shuo, et al.
Publicado: (2022)