Contributors: Felix M. Riese

Name: Felix M. Riese
Login: felixriese
Email: mail@felixriese.de
Description: Ph.D. & MBA | Head of Product | Physicist with 9+ Years in Data Science and Machine Learning | First-Principles Thinking
Website: felixriese.de
Location: Munich, Germany
Company: @Peter-Park-Systems-GmbH
Repositories count: 17
Last synced at: 2024-06-11T15:39:01.250Z
Total stars: 278
Followers: 114
Following: 47
OST Projects: 2
Languages: Python, Jupyter Notebook
Categories: Natural Resources
Sub Categories: Soil and Land
Topics: field-campaigns, hyperspectral, soil-moisture, 1d-cnn, conference, convolutional-neural-networks, hyperspectral-data, publication, publication-code, soil-texture-classification, data-processing, hydrology, hyperspectral-data-processing, self-organizing-map, semi-supervised-learning, som, sphinx-doc, supervised-learning, unsupervised-learning, sentinel-data, book-chapter, thermal-camera, thermal-imaging, csv, lucas-topsoil-database, rdata, soil-texture

Contributed Projects

CNN-SoilTextureClassification

One-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data.

1d-cnn classification cnn conference convolutional-neural-networks hyperspectral-data publication publication-code soil-texture-classification

Natural Resources - Soil and Land - Last synced: 02 May 2025 - Ranking: 4.8

Hyperspectral Soilmoisture Dataset

Hyperspectral benchmark dataset on soil moisture.

benchmark dataset field-campaigns hyperspectral soil-moisture

Natural Resources - Soil and Land - Last synced: 02 May 2025 - Ranking: 4.5