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| Remote sensing (RS) | |
|---|---|
| Name | Remote sensing |
| Abbreviation | RS |
| Field | Geospatial science |
| Introduced | 19th century |
Remote sensing (RS) is the practice of acquiring information about objects or areas from a distance, typically using sensors mounted on aircraft, satellites, or unmanned systems. It integrates measurements across electromagnetic spectra using instruments developed by institutions such as Jet Propulsion Laboratory, European Space Agency, National Aeronautics and Space Administration, United States Geological Survey, and National Oceanic and Atmospheric Administration. Techniques derive from advances in optics pioneered by figures associated with Royal Society, École Polytechnique, University of Cambridge, and Massachusetts Institute of Technology.
Remote sensing combines optics, radiometry, and signal processing with platforms like Landsat, Sentinel-2, MODIS, Ikonos, and WorldView to monitor phenomena ranging from Mount Vesuvius activity to Amazon Rainforest deforestation and Arctic sea-ice dynamics. Interdisciplinary collaborations often involve organizations such as United Nations Environment Programme, Food and Agriculture Organization, European Commission, National Science Foundation, and International Charter on Space and Major Disasters. Data products support projects led by institutions including Smithsonian Institution, Scripps Institution of Oceanography, Potsdam Institute for Climate Impact Research, and Woods Hole Oceanographic Institution.
Core principles include electromagnetic spectrum interaction, spectral signatures, and radiative transfer models developed from research at Max Planck Society, NOAA Fisheries, and Argonne National Laboratory. Methods use multispectral, hyperspectral, thermal, and radar modalities based on work by researchers affiliated with California Institute of Technology, University of Oxford, Stanford University, and University of Colorado Boulder. Sensors measure reflectance, emittance, and backscatter following theoretical frameworks influenced by James Clerk Maxwell initiatives and experimental instruments inspired by Samuel Morse era telegraphy and later innovations by Guglielmo Marconi. Radiometric calibration and atmospheric correction reference standards from National Institute of Standards and Technology and processing algorithms linked to developments at IBM research groups.
Platforms encompass polar-orbiting systems like Landsat 8, NOAA-20, geostationary platforms such as GOES-R, airborne campaigns operated by NASA Armstrong Flight Research Center, and unmanned aerial vehicles produced by companies like DJI used in projects with Rainforest Alliance and Conservation International. Sensor families include optical imagers used by SPOT missions, synthetic aperture radar systems from RADARSAT, lidar instruments developed at Leica Geosystems, and microwave radiometers carried by missions like SMAP. Instrument development often occurs in partnership with labs such as Los Alamos National Laboratory, Jet Propulsion Laboratory, and industry partners including Boeing and Airbus.
Processing pipelines use georeferencing protocols standardized by International Organization for Standardization and algorithms implemented in software from Esri, Google Earth Engine, QGIS, ENVI, and research codebases at Massachusetts Institute of Technology and Carnegie Mellon University. Analysis techniques include supervised classification influenced by statistical methods from Harvard University, unsupervised clustering related to work at Princeton University, time-series change detection referencing studies from University of California, Berkeley, and machine learning approaches pioneered by teams at DeepMind, OpenAI, and Google Research. Data fusion combines sources such as Sentinel-1 radar with Landsat optical imagery, integrating geospatial metadata standards from Open Geospatial Consortium and distribution via portals like Copernicus and Earthdata.
Applications span environmental monitoring for Great Barrier Reef health assessments used by Australian Antarctic Division, agriculture yield estimation in collaboration with International Maize and Wheat Improvement Center, disaster response coordinated with United Nations Office for Disaster Risk Reduction and International Federation of Red Cross and Red Crescent Societies, urban mapping for projects by City of New York and Greater London Authority, and climate studies contributing to reports of the Intergovernmental Panel on Climate Change. Other uses include mineral exploration in regions overseen by Geological Survey of India and British Geological Survey, marine ecosystem surveillance by Monterey Bay Aquarium Research Institute, and archeological surveys associated with British Museum and Smithsonian Institution.
Challenges include sensor noise characterized in studies from National Institute of Standards and Technology, atmospheric interference examined by European Centre for Medium-Range Weather Forecasts, data gaps linked to orbital coverage constraints of Landsat 7 and Envisat, and legal–ethical issues involving privacy and regulation under statutes like those enforced by Federal Aviation Administration and agencies such as European Space Agency policy offices. Computational burdens drive dependence on high-performance computing centers at Oak Ridge National Laboratory and cloud providers like Amazon Web Services and Microsoft Azure. Calibration drift, ground-truth scarcity, and geopolitical restrictions involving export controls referenced in policies of Bureau of Industry and Security further complicate global operations.
Historical milestones include nineteenth-century aerial photography experiments by inventors associated with French Academy of Sciences, wartime reconnaissance advances during World War I and World War II enabling developments by Royal Air Force and United States Army Air Forces, the launch of early satellites such as TIROS-1 and later operational systems like Landsat 1, and institutional programs at NASA and European Space Agency that expanded capabilities through missions including Terra and Sentinel-1. Academic consolidation occurred in departments at University of Cambridge, University of London, University of California, Los Angeles, and Ohio State University, while international cooperation matured within frameworks like Group on Earth Observations and initiatives led by World Meteorological Organization.