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This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.

Environmental science, engineering & technology --- groundwater potential --- specific capacity --- machine learning --- boosted tree --- ensemble models --- prototype selection --- river pollution --- supervised classification --- WSN --- probabilistic method --- Monte Carlo simulation --- physical slope model --- Mt. Umyeon landslides --- Seoul --- synthetic aperture radar --- land subsidence --- GIS --- time-series --- Jakarta --- land subsidence susceptibility mapping --- time-series InSAR --- StaMPS processing --- seismic vulnerability map --- DPM method --- Sentinel-1 --- seismic literacy --- neural networks --- urban vegetation --- urban open spaces --- Monterrey Metropolitan Area --- sustainable development --- deep learning --- transfer learning --- artificial intelligence --- remote sensing --- earth observation --- DInSAR --- change detection --- space data science

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This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.

Environmental science, engineering & technology --- groundwater potential --- specific capacity --- machine learning --- boosted tree --- ensemble models --- prototype selection --- river pollution --- supervised classification --- WSN --- probabilistic method --- Monte Carlo simulation --- physical slope model --- Mt. Umyeon landslides --- Seoul --- synthetic aperture radar --- land subsidence --- GIS --- time-series --- Jakarta --- land subsidence susceptibility mapping --- time-series InSAR --- StaMPS processing --- seismic vulnerability map --- DPM method --- Sentinel-1 --- seismic literacy --- neural networks --- urban vegetation --- urban open spaces --- Monterrey Metropolitan Area --- sustainable development --- deep learning --- transfer learning --- artificial intelligence --- remote sensing --- earth observation --- DInSAR --- change detection --- space data science

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Synthetic aperture radar (SAR) interferometry (InSAR) is an important remote sensing technology used for topographic mapping and deformation monitoring, and has created a new type of radar datum that has significantly evolved during the last couple of decades. This book includes the latest InSAR studies published in the Special Issue “InSAR Signal and Data Processing” of Sensors. We hope that readers of all levels will be able to gain a better understanding of InSAR as well as the when, how, and why of applying this technology.

time-series InSAR --- subsidence --- GNSS --- coastal urban area --- heterogeneous array --- SAR imaging --- data cross-placement --- computing resource management --- Gaofen-3 satellite --- ScanSAR --- interferometry --- interferometric coherence --- phase compensation --- DEM geolocation --- InSAR --- Qinghai-Tibet Engineering Corridor --- deformation --- permafrost --- interferometric synthetic aperture radar (InSAR) --- phase error calibration --- phase difference measurement --- under-sampling --- coherent accumulation --- SBAS-InSAR --- rock salt mine --- drilling solution mining --- time series --- phase unwrapping (PU) --- multi-baseline (MB) --- two-stage programming approach (TSPA) --- phase unwrapping max-flow/min-cut (PUMA) --- multibaseline interferometric synthetic aperture radar (InSAR) --- non-subsampled shearlet transform (NSST) --- kurtosis --- noise level eatimation --- coherence coefficient --- DEM --- DSM --- hierarchical adaptive surface fitting --- markov random field --- residue --- persistent scatterers --- polarimetric optimization --- deformation monitoring --- interferometric radar --- helicopter landing --- simulation model --- n/a

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This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this field

surface subsidence --- PS --- permanent scatterers --- land subsidence --- PS-InSAR --- thermal dilation --- SBAS-InSAR --- Sepulveda Transit Corridor --- deformation --- differential SAR interferometry --- reclaimed land --- Istanbul --- deformation monitoring --- skyscrapers --- generalized likelihood ratio test --- validation --- uplift --- displacement monitoring --- pursuit monostatic --- radar interferometry --- Sentinel-1A --- urbanization --- synthetic aperture radar --- Turkey --- terraSAR-X --- geological and geomorphological mapping --- London --- differential compaction --- expansive soils --- health monitoring --- Copernicus Sentinel-1 --- displacement mapping --- PALSAR --- land reclamation --- tomography --- Venetian-Friulian Plain --- ALOS PALSAR --- multi-temporal DInSAR --- SAR interferometry --- InSAR --- persistent scatterers --- carbonate karstification --- ENVISAT ASAR --- multiple PS detection --- sparse signals --- urban subsidence --- time series InSAR analysis --- time series analysis --- Persistent Scatterer Interferometry (PSI) --- engineering construction --- Rome --- persistent scatterer interferometry --- subsidence --- persistent scatterer interferometry (PSI) --- SNAP-StaMPS --- Lingang New City --- dewatering --- atmospheric component --- urban deformation monitoring --- Sentinel-1 --- differential interferometry --- Late-Quaternary deposits --- modelling --- Generalized Likelihood Ratio Test --- Persistent Scatterer Interferometry --- synthetic aperture radar (SAR) --- Capon estimation --- differential tomography --- deformation time series --- groundwater level variation --- radar detection --- multi-look SAR tomography --- spaceborne SAR --- SAR --- ERS-1/-2 --- reclamation settlements --- Wuhan --- subsidence monitoring --- water level changes --- polarimetry --- asymmetric subsidence --- urban monitoring --- urban areas --- landslide --- SAR tomography --- Urayasu City --- risk --- Los Angeles --- PALSAR-2

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Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes—resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on “Application of Remote Sensing in Coastal Areas” is specifically addresses those successful applications—from local to regional scale—in coastal environments related to ecosystem productivity, biodiversity, sea level rise.

Research & information: general --- Geography --- satellite remote sensing --- Landsat --- coastline --- barrier island --- morphological change --- coastal ocean --- Photon-counting lidar --- MABEL --- land cover --- remote sensing --- signal photons --- ground settlement --- marine reclamation land --- time series InSAR --- Sentinel-1 --- Xiamen New Airport --- Pleiades --- photogrammetry --- LiDAR --- RTK-GPS --- beach topography --- cliff coastlines --- time-series analysis --- terrestrial laser scanner --- southern Baltic Sea --- non-parametric Bayesian network --- satellite-derived bathymetry --- hydrography --- CubeSats --- hypertemporal --- zones of confidence --- PlanetScope --- vegetation mapping --- dunes --- unmanned aerial system --- pixel-based classification --- object-based classification --- dune vegetation classification --- coastal monitoring --- multispectral satellite images --- multi-temporal NDVI --- pixels based supervised classification --- Random Forest --- harmonization --- shoreline mapping --- semi-global subpixel localization --- intensity integral error --- polarimetric SAR --- polarimetric decomposition --- ship detection --- Euclidean distance --- mutual information --- new feature --- Bohai sea ice --- sea ice extent --- OLCI imagery --- sea ice information index --- waterline extraction --- sub-pixel --- surface water mapping --- data cube --- contour extraction --- water extraction --- water indices --- thresholding --- Coastal process --- wind wake --- heat advection --- multi-sensor --- ASAR --- oceanic thermal response --- Hainan Island --- coastal remote sensing --- habitat mapping --- unmanned aerial vehicle (UAV) --- unmanned aircraft system (UAS) --- drone --- object-based image analysis (OBIA) --- UAS data acquisition