Lecture

Earth Observation Infrastructures: Space4Impact

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Description

This lecture by the instructor Andrea Alberti from PMOD/WRC explores Earth Observation infrastructures in the context of the New Space Economy. It covers the Earth Observation ecosystem, satellites, passive and active payloads, enablers, and market share. The lecture delves into the importance of Earth Observation for monitoring and assessing the Earth's systems, emphasizing the role of data in enabling fact-based decisions. It discusses various Earth Observation payloads, such as optical, hyperspectral, and radar, showcasing their applications in monitoring the environment, natural disasters, and human activities. The lecture also highlights the significance of open data policies, data access, and the exponential growth of Earth Observation data.

In MOOC

New Space Economy

The New Space sector is a fast-growing market, boosting the historical institutional space exploration economy. The roughly 366 billion USD global space industry in 2019 is estimated to surge to over $1 trillion by 2040. The current growth in the development of space infrastructures and production of data from space is opening a full range of new applications for new customers. New business models for space encompass launchers, satellite manufacturers, in-orbit servicing, telecommunication, cybersecurity, e

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Related concepts (32)

Hyperspectral imaging

Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. There are three general types of spectral imagers. There are push broom scanners and the related whisk broom scanners (spatial scanning), which read images over time, band sequential scanners (spectral scanning), which acquire images of an area at different wavelengths, and snapshot hyperspectral imagers, which uses a staring array to generate an image in an instant.

Earth observation satellite

An Earth observation satellite or Earth remote sensing satellite is a satellite used or designed for Earth observation (EO) from orbit, including spy satellites and similar ones intended for non-military uses such as environmental monitoring, meteorology, cartography and others. The most common type are Earth imaging satellites, that take s, analogous to aerial photographs; some EO satellites may perform remote sensing without forming pictures, such as in GNSS radio occultation.

Satellite

A satellite or artificial satellite is an object intentionally placed into orbit around a celestial body. Satellites have a variety of uses, including communication relay, weather forecasting, navigation (GPS), broadcasting, scientific research, and Earth observation. Additional military uses are reconnaissance, early warning, signals intelligence and, potentially, weapon delivery. Other satellites include the final rocket stages that place satellites in orbit and formerly useful satellites that later become defunct.

Spectral imaging

Spectral imaging is imaging that uses multiple bands across the electromagnetic spectrum. While an ordinary camera captures light across three wavelength bands in the visible spectrum, red, green, and blue (RGB), spectral imaging encompasses a wide variety of techniques that go beyond RGB. Spectral imaging may use the infrared, the visible spectrum, the ultraviolet, x-rays, or some combination of the above.

Multispectral imaging

Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, i.e. infrared and ultra-violet. It can allow extraction of additional information the human eye fails to capture with its visible receptors for red, green and blue.

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