Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Thomas Gläßle"'
Autor:
Nafiseh Kakhani, Thomas Gläßle, Ruhollah Taghizadeh-Mehrjardi, Ndiye Michael Kebonye, Thomas Scholten
Carbon is an essential element and contributor to healthy soil conditions as well as ecological soil function and productivity. Additionally, carbon is a component of all plants and animals on the planet and is a necessary component of life. Natural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6716d33eb4fa0e932b89ced1e2f5ec5e
https://doi.org/10.5194/egusphere-egu23-1083
https://doi.org/10.5194/egusphere-egu23-1083
Artificial neural networks (ANN), which are mainly used in pattern and image recognition, have now found a wide range of applications in soil science and geoscience. They have proven to be a useful tool for complex questions that also involve a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dd8db69e43beb1d1654b0403a9a250e
https://doi.org/10.5194/egusphere-egu23-689
https://doi.org/10.5194/egusphere-egu23-689
The goal of this work is to perform soil classification with uncertainty quantification for a structured treatment of the output classes. Uncertainty can help in this setting to make predictions more informative with regard to class relationships. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25cf9f66f9dc33bc51b8d0f4245d2d59
https://doi.org/10.5194/egusphere-egu22-5164
https://doi.org/10.5194/egusphere-egu22-5164
Artificial neural networks (ANN), which are mainly used in pattern and image recognition, have now found a wide range of applications. In recent years, different variants of ANN have also been increasingly used in the geosciences. They have proven to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88b73f0a8ec12a25f3672d4c9a52f97f
https://doi.org/10.5194/egusphere-egu22-2766
https://doi.org/10.5194/egusphere-egu22-2766
Gaussian Processes provide a theoretically well-understood regression framework that is widely used in the context of Digital Soil Mapping. Among the reasons to use Gaussian Process Regression (GPR) are its interpretability, its builtin support for u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44c8a643ae6e6ce5ff2afb62cfe323a2
https://doi.org/10.5194/egusphere-egu21-2452
https://doi.org/10.5194/egusphere-egu21-2452
Recently, there is a growing interest for the soil variable soil thickness in the soil science, geoscience and ecology communities. More and more scientists assume that soil thickness summarizes many different characteristics of the site that are imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8479db1af0575fdcf8aec1b0ddcdbaf0
https://doi.org/10.5194/egusphere-egu21-3368
https://doi.org/10.5194/egusphere-egu21-3368