Editing Synthetic-aperture radar (section)

== Motivation and applications ==
[[File:Venus globe.jpg|thumb|right|The surface of [[Venus]], as imaged by the [[Magellan probe]] using SAR, colorized with [[false color]].]]
SAR is capable of high-resolution [[Radar remote sensing|remote sensing]], independent of flight altitude, and independent of weather, as SAR can select frequencies to avoid weather-caused signal attenuation. SAR has day and night imaging capability as illumination is provided by the SAR.<ref name=":2">Tomographic SAR. Gianfranco Fornaro. National Research Council (CNR). Institute for Electromagnetic Sensing of the Environment (IREA) Via Diocleziano, 328, I-80124 Napoli, ITALY</ref><ref>Oliver, C. and Quegan, S. Understanding Synthetic Aperture Radar Images. Artech House, Boston, 1998.</ref><ref name=":3">Synthetic Aperture Radar Imaging Using Spectral Estimation Techniques. Shivakumar Ramakrishnan, Vincent Demarcus, Jerome Le Ny, Neal Patwari, Joel Gussy. University of Michigan.</ref>

SAR images have wide applications in remote sensing and mapping of surfaces of the Earth and other planets. Applications of SAR are numerous. Examples include topography, oceanography, glaciology, geology (for example, terrain discrimination and subsurface imaging). SAR can also be used in forestry to determine forest height, biomass, and deforestation. Volcano and earthquake monitoring use differential [[Interferometric synthetic-aperture radar|interferometry]]. SAR can also be applied for monitoring civil infrastructure stability such as bridges.<ref>{{Cite web | url=https://sciengsustainability.blogspot.com/2017/02/bridge-monitoring-with-satellite-data.html |title = Science Engineering & Sustainability: Bridge monitoring with satellite data SAR}}</ref> SAR is useful in environment monitoring such as oil spills, flooding,<ref>{{Cite journal |last1=Wu |first1=Xuan |last2=Zhang |first2=Zhijie |last3=Xiong |first3=Shengqing |last4=Zhang |first4=Wanchang |last5=Tang |first5=Jiakui |last6=Li |first6=Zhenghao |last7=An |first7=Bangsheng |last8=Li |first8=Rui |date=12 April 2023 |title=A Near-Real-Time Flood Detection Method Based on Deep Learning and SAR Images |journal=Remote Sensing |language=en |volume=15 |issue=8 |pages=2046 |doi=10.3390/rs15082046 |bibcode=2023RemS...15.2046W |issn=2072-4292 |doi-access=free }}</ref><ref>{{Cite journal |last1=Garg |first1=Shubhika |last2=Feinstein |first2=Ben |last3=Timnat |first3=Shahar |last4=Batchu |first4=Vishal |last5=Dror |first5=Gideon |last6=Rosenthal |first6=Adi Gerzi |last7=Gulshan |first7=Varun |date=7 November 2023 |title=Cross-modal distillation for flood extent mapping |journal=Environmental Data Science |language=en |volume=2 |pages=e37 |doi=10.1017/eds.2023.34 |issn=2634-4602|doi-access=free |arxiv=2302.08180 |bibcode=2023EnvDS...2E..37G }}</ref> urban growth,<ref>{{cite arXiv |author=A. Maity |title=Supervised Classification of RADARSAT-2 Polarimetric Data for Different Land Features|year=2016|eprint=1608.00501|class=cs.CV}}</ref> military surveillance: including strategic policy and tactical assessment.<ref name=":3" /> SAR can be implemented as [[Inverse synthetic-aperture radar|inverse SAR]] by observing a moving target over a substantial time with a stationary antenna.