Going back to Michael T. Eismann, Air Force Research Laboratory, USA who worte about 'Hyperspectral Remote Sensing'
https://en.wikipedia.org/wiki/Hyperspectral_imaging
Hyperspectral imaging, like other spectral 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.
.. line-scan systems are particularly common in remote sensing, where it is sensible to use mobile platforms.
Hyperspectral remote sensing is used in a wide array of applications. Although originally developed for mining and geology (the ability of hyperspectral imaging to identify various minerals makes it ideal for the mining and oil industries, where it can be used to look for ore and oil),[9][18] it has now spread into fields as widespread as ecology and surveillance, as well as historical manuscript research, such as the imaging of the Archimedes Palimpsest. This technology is continually becoming more available to the public. Organizations such as NASA and the USGS have catalogues of various minerals and their spectral signatures, and have posted them online to make them readily available for researchers. On a smaller scale, NIR hyperspectral imaging can be used to rapidly monitor the application of pesticides to individual seeds for quality control of the optimum dose and homogeneous coverage.
The wiki link to 'remote sensing' : https://en.wikipedia.org/wiki/Remote_sensing
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth. Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology, oceanography, glaciology, geology); it also has military, intelligence, commercial, economic, planning, and humanitarian applications.
In current usage, the term "remote sensing" generally refers to the use of satellite- or aircraft-based sensor technologies to detect and classify objects on Earth, including on the surface and in the atmosphere and oceans, based on propagated signals (e.g. electromagnetic radiation). It may be split into "active" remote sensing (such as when a signal is emitted by a satellite or aircraft and its reflection by the object is detected by the sensor) and "passive" remote sensing (such as when the reflection of sunlight is detected by the sensor).
..Remote Sensing has a growing relevance in the modern information society. It represents a key technology as part of the aerospace industry and bears increasing economic relevance – new sensors e.g. TerraSAR-X and RapidEye are developed constantly and the demand for skilled labour is increasing steadily. Furthermore, remote sensing exceedingly influences everyday life, ranging from weather forecasts to reports on climate change or natural disasters. As an example, 80% of the German students use the services of Google Earth; in 2006 alone the software was downloaded 100 million times. But studies have shown that only a fraction of them know more about the data they are working with.[29] There exists a huge knowledge gap between the application and the understanding of satellite images. Remote sensing only plays a tangential role in schools, regardless of the political claims to strengthen the support for teaching on the subject.[30] A lot of the computer software explicitly developed for school lessons has not yet been implemented due to its complexity. Thereby, the subject is either not at all integrated into the curriculum or does not pass the step of an interpretation of analogue images. In fact, the subject of remote sensing requires a consolidation of physics and mathematics as well as competences in the fields of media and methods apart from the mere visual interpretation of satellite images.
Many teachers have great interest in the subject "remote sensing", being motivated to integrate this topic into teaching, provided that the curriculum is considered. In many cases, this encouragement fails because of confusing information.[31] In order to integrate remote sensing in a sustainable manner organizations like the EGU or Digital Earth[32] encourage the development of learning modules and learning portals. Examples include: FIS – Remote Sensing in School Lessons,[33] Geospektiv,[34] Ychange,[35] or Spatial Discovery,[36] to promote media and method qualifications as well as independent learning.
Others mixing remote sensing and GIS capabilities are: GRASS GIS, ILWIS, QGIS, and TerraLook.
Terralook? http://terralook.sourceforge.net/docs/readme.htm
April 2008 TerraLook provides access to satellite images for users that lack prior experience with remote sensing or Geographic Information System (GIS) technology. It does this by combining collections of images on user-defined themes with a set of simple visualization and analysis tools, allowing the user to explore the data and employ it for useful purposes. The images include recent high-resolution ones plus those from several historical periods going back to the early '70s to support change analysis. Simplicity is an overarching principle. TerraLook was designed to overcome the obstacles that limit access to data by user communities that lack sophisticated tools and skills.
TerraLook is of use to a wide variety of disciplines including conservation, development planning, education, urban studies, disaster planning and response, and others. It is of particular use in developing countries that may have less capacity to purchase or work with remote sensing data.
TerraLook was previously known as the Protected Area Archive, or PAA. That name reflects its origins, which lie in conservation, and the name was changed to TerraLook to better represent the broad range of user disciplines that it supports. The concept evolved out of discussions that Gary Geller had with Protected Area managers in southeast Asia, while he was on leave of absence from his job at NASA’s Jet Propulsion Laboratory in early 2002.
MercurysBall2 ago
Bill Gates and the Los Alamos Complex Systems Group: https://voat.co/v/thinkdrafts/3702298/22869792
Steven P. Brumby's research while affiliated with Los Alamos National Laboratory https://www.researchgate.net/scientific-contributions/8962297_Steven_P_Brumby
MercurysBall2 ago
Remote sensing to detect a human's physiological state
An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition - https://www.tandfonline.com/doi/abs/10.1179/174313110X12771950995716
MercurysBall2 ago
University of Arizona College of Optical Sciences https://en.wikipedia.org/wiki/University_of_Arizona_College_of_Optical_Sciences
MercurysBall2 ago
Optics Valley https://en.wikipedia.org/wiki/Optics_Valley
University of Arizona College of Optical Sciences
Steward Observatory
National Optical Astronomy Observatory
Lunar and Planetary Laboratory
Arizona Center for Mathematical Sciences
Center for Integrated Access Networks (CIAN)
Mount Graham International Observatory
Kitt Peak National Observatory
Fred Lawrence Whipple Observatory (Mount Hopkins)
Mount Lemmon Observatory
Catalina Station (Mount Bigelow)
4D Technology
Applied Energetics
Areté Associates
Arizona Optical Systems
BioVigilant Systems
Breault Research Organization
Bruker
Composite Mirror Applications, Inc.
Dataforth
Edmund Optics
Engineering Synthesis Design, Inc. (ESDI)
EOS Technologies
Everest Interscience
Faxitron Bioptics, LLC
Hextek Corporation
Instant BioScan
Lasertel
NP Photonics
Opt-E
Optical Data Associates
Photometrics
Prism Solar Technologies
Raytheon
REhnu
Ruda-Cardinal Optical Systems
Spectral Instruments
Spectral Instruments Imaging
Synopsys (formerly Optical Research Associates)
Zygo Corporation