Introduction to Machine Learning for Earth Observation
What is this course about? Throughout this course, you’ll embark on an enlightening journey into the realm of Machine Learning (ML) as applied to Earth…
What is this course about? Throughout this course, you’ll embark on an enlightening journey into the realm of Machine Learning (ML) as applied to Earth…
This resource provides a comprehensive introduction to the application of imaging spectroscopy in a soil context. Besides giving a good overview on the fundamentals of…
This resource provides a general introduction to the principles of hyperspectral image preprocessing and how this workflow is reflected in EnMAP products. Furthermore, the course…
Land Cover Classification and Accuracy Assessmentwith optical datausing Random Forest Classifierin Google Earth Engine This tutorial will teach you how to create a land cover…
This unit introduces the topic water optics and water colour remote sensing. We start with an introduction on the importance of remote sensing for aquatic…
In these tutorials, you learn how to handle large-scale datasets in the Julia language using the EarthDataLab.jl package and how to map deforestations with the…
The gross exchange of carbon between the land surface and the atmosphere is the largest flux within the global carbon cycle. Biomass at the Earth’s…
This unit presents the capabilities of imaging spectroscopy (IS) for urban mapping. A brief introduction to urban mapping is followed by the basics of IS…
This unit is one of the basic lectures provided by HYPERedu and introduces the physical basics and scientific requirements defining sensor technology, the principles of…
This tutorial introduces the Interactive Visualization of Vegetation Reflectance Models (IVVRM) tool, which is an interactive reflectance modeling setting, focusing on the PROSPECT + SAIL…
This unit gives an overview on agriculture-related hyperspectral satellite data usage. The challenges a growing world population faces in regard to agriculture and the provisioning…
Introduction into the principles and applications of radar remote sensing.
Biomass is a crucial parameter in the estimation and quantification of the global carbon cycle. In this lesson the estimation of above ground biomass from…
What is this course about? In this course you will get an overview of the most relevant parameters that have an influence on the radar…
This unit is one of the basic lectures offered by HYPERedu and introduces the theoretical process chain of sensor forward simulation. In particular, the individual…
This unit introduces the basics of Forest Imaging Spectroscopy. Firstly, the spectral characteristics of vegetation on leaf and canopy level are shown and explained using…
This unit focusses on quantification regression analysis and RTMs. A short introduction to the radiance regime of vegetation is followed by an overview on retrieval…
This tutorial focusses on the possibilities to map forest Aboveground Biomass (AGB) from simulated EnMAP imagery. Practical hands-on training for working with the EnMAP-Box, including…
This unit introduces dimensionality reduction methods related to hyperspectral data or imaging spectroscopy. Following an overview of feature engineering methods that use selected parametric and…
This tutorial focuses on regression-based unmixing of urban land cover from simulated EnMAP imagery. The slide collection provides the theoretical foundation for the tutorial, including…
The EnMAP-Box is a free and open-source plug-in for QGIS. It is designed to process imaging spectroscopy data and is particularly developed to handle data…
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