From MAAP to ASCEND
ESA’s Biomass mission is a major step in monitoring global forests. It’s the first satellite to use P-band synthetic aperture radar (SAR) for detailed forest biomass measurement. But Biomass…
Language: English
The Future of Remote Sensing with Artificial Intelligence
Transforming Remote Sensing Through AI Artificial Intelligence (AI), particularly deep learning, is revolutionizing remote sensing by dramatically improving data processing capabilities. Convolutional Neural Networks (CNNs)…
The Future of the Japanese ALOS Program: Advancing Earth Observation for a Changing Planet
Introduction The Advanced Land Observing Satellite (ALOS) program, developed by the Japan Aerospace Exploration Agency (JAXA), is one of Japan’s most important contributions to global…
The Argentinian SAOCOM 1 Mission and the Upcoming SAOCOM 2 Program
Introduction The SAOCOM program (Satélite Argentino de Observación Con Microondas) is Argentina’s leading Earth observation initiative, managed by its national space agency, CONAE (Comisión Nacional…
Tandem-L: Germany’s Future L-Band SAR Mission for Dynamic Earth Observation
Introduction The Tandem-L mission is an ambitious Earth observation project led by the German Aerospace Center (DLR). It aims to revolutionize our ability to observe…
Introduction to Machine Learning for Earth Observation
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Cubes & Clouds
Cloud Native Open Data Science for Earth Observation
Beyond the Visible – EnMAP data access and image preprocessing techniques
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…
Spaceborne imaging spectroscopy of aquatic ecosystems
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…
Beyond the Visible – Introduction to Hyperspectral Remote Sensing
This unit provides a thorough introduction to the basics of imaging spectroscopy and was designed for all users, no matter the professional background…
Beyond the Visible – Imaging Spectroscopy for Agricultural Applications
This resource provides a thorough introduction to the application of imaging spectroscopy in an agricultural context. Besides imparting the fundamenta…
Large-scale EO data handling
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…
ESA BIOMASS mission overview
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…
Imaging spectroscopy for urban mapping
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…
Imaging spectroscopy sensor technologies
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…
Interactive Visualization of Vegetation Reflectance Models (IVVRM)
This tutorial introduces the Interactive Visualization of Vegetation Reflectance Models (IVVRM) tool, which is an interactive reflectance modeling setting, focusing on the PROSPECT + SAIL…
Spaceborne Imaging Spectroscopy of Agricultural Systems
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…
Echoes in space
Introduction into the principles and applications of radar remote sensing.
Biomass
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…
Basic Principles of Radar Backscatter
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Sensor simulation
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…
Imaging spectroscopy of forest ecosystems
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…
Retrieval approaches of vegetation traits from imaging spectroscopy data
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…
Regression-based mapping of forest aboveground biomass
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…