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People living in both developed and developing countries face serious health challenges related to sedentary lifestyles. It is therefore essential to find new ways to improve health so that people can live longer and can age well. With an ever-growing number of smart sensing systems developed and deployed across the globe, experts are primed to help coach people toward healthier behaviors. The increasing accountability associated with app- and device-based behavior tracking not only provides timely and personalized information and support but also gives us an incentive to set goals and to do more. This book presents some of the recent efforts made towards automatic and autonomous identification and coaching of troublesome behaviors to procure lasting, beneficial behavioral changes.

activity recognition --- wearable devices --- inertial sensors --- Bluetooth beacons --- machine learning --- e-coaching --- m-health intervention --- personalization --- healthy lifestyle --- physical activity --- tangible user interface --- affordance --- multimodal cueing --- animate objects --- activities of daily living --- human activity recognition --- context-awareness --- Bayesian network --- mobile application --- wearable computing --- wrist-worn heart rate devices --- cardiac rehabilitation --- real-time wearable monitoring --- fuzzy logic --- fuzzy linguistic approach --- m-health --- remote coaching --- telemonitoring --- telehealth --- cadence --- marathon --- elevation change analysis --- personalized assistance level --- coaching --- electric bicycles --- ubiquitous computing --- health --- human-centered computing --- digital coaching --- diabetes education --- serious gaming --- self-management --- user evaluations --- sedentary lifestyle --- context recognition --- unhealthy sitting habits --- wearable sensors --- smartphones --- smart objects --- behavior change

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Remote sensing plays a pivotal role in understanding where and how floods and glacier geohazards occur; their severity, causes and types; and the risk that they may pose to populations, activities and properties. By providing a spectrum of imaging capabilities, resolutions and temporal and spatial coverage, remote sensing data acquired from satellite, aerial and ground-based platforms provide key geo-information to characterize and model these processes. This book includes research papers on novel technologies (e.g., sensors, platforms), data (e.g., multi-spectral, radar, laser scanning, GPS, gravity) and analysis methods (e.g., change detection, offset tracking, structure from motion, 3D modeling, radar interferometry, automated classification, machine learning, spectral indices, probabilistic approaches) for flood and glacier imaging. Through target applications and case studies distributed globally, these articles contribute to the discussion on the current potential and limitations of remote sensing in this specialist research field, as well as the identification of trends and future perspectives.

Research & information: general --- glacier surge --- glacier collapse --- rock-slope instability --- hazard --- Landsat --- Sentinel 2 --- Tibet --- flood extent mapping --- supervised classification --- NDWI --- synthetic aperture radar (SAR) --- web application --- synthetic aperture radar --- offset tracking --- displacements --- Sentinel-1 --- glacier monitoring --- flood mapping --- damage assessment --- SAR image --- Landsat-8 --- Google Earth Engine --- GEE --- Bangladesh --- SAR intensity time series --- urban flood mapping --- double bounce effect --- Hurricane Matthew --- flood --- FPI --- GRACE --- terrestrial water storage anomaly --- storage deficit --- mass balance --- snow depth --- glacier retreat --- surface DEM --- elevation change --- Sentinel --- Secchi disk --- chlorophyll a --- sediments --- phytoplankton --- floods --- remote sensing --- GIS --- disaster mapping --- Lower Chenab Plain --- laserscanning --- UAV-structure from Motion --- multi-spectral satellite data --- synthetic Aperture Radar --- glacier lake evolution --- glacier river --- slope processes --- rock fall --- cryosphere --- fusion --- inundation probability --- Hurricane Harvey --- ADCIRC --- glacier surge --- glacier collapse --- rock-slope instability --- hazard --- Landsat --- Sentinel 2 --- Tibet --- flood extent mapping --- supervised classification --- NDWI --- synthetic aperture radar (SAR) --- web application --- synthetic aperture radar --- offset tracking --- displacements --- Sentinel-1 --- glacier monitoring --- flood mapping --- damage assessment --- SAR image --- Landsat-8 --- Google Earth Engine --- GEE --- Bangladesh --- SAR intensity time series --- urban flood mapping --- double bounce effect --- Hurricane Matthew --- flood --- FPI --- GRACE --- terrestrial water storage anomaly --- storage deficit --- mass balance --- snow depth --- glacier retreat --- surface DEM --- elevation change --- Sentinel --- Secchi disk --- chlorophyll a --- sediments --- phytoplankton --- floods --- remote sensing --- GIS --- disaster mapping --- Lower Chenab Plain --- laserscanning --- UAV-structure from Motion --- multi-spectral satellite data --- synthetic Aperture Radar --- glacier lake evolution --- glacier river --- slope processes --- rock fall --- cryosphere --- fusion --- inundation probability --- Hurricane Harvey --- ADCIRC

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• Reference Manager
• EndNote
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Remote sensing plays a pivotal role in understanding where and how floods and glacier geohazards occur; their severity, causes and types; and the risk that they may pose to populations, activities and properties. By providing a spectrum of imaging capabilities, resolutions and temporal and spatial coverage, remote sensing data acquired from satellite, aerial and ground-based platforms provide key geo-information to characterize and model these processes. This book includes research papers on novel technologies (e.g., sensors, platforms), data (e.g., multi-spectral, radar, laser scanning, GPS, gravity) and analysis methods (e.g., change detection, offset tracking, structure from motion, 3D modeling, radar interferometry, automated classification, machine learning, spectral indices, probabilistic approaches) for flood and glacier imaging. Through target applications and case studies distributed globally, these articles contribute to the discussion on the current potential and limitations of remote sensing in this specialist research field, as well as the identification of trends and future perspectives.

glacier surge --- glacier collapse --- rock-slope instability --- hazard --- Landsat --- Sentinel 2 --- Tibet --- flood extent mapping --- supervised classification --- NDWI --- synthetic aperture radar (SAR) --- web application --- synthetic aperture radar --- offset tracking --- displacements --- Sentinel-1 --- glacier monitoring --- flood mapping --- damage assessment --- SAR image --- Landsat-8 --- Google Earth Engine --- GEE --- Bangladesh --- SAR intensity time series --- urban flood mapping --- double bounce effect --- Hurricane Matthew --- flood --- FPI --- GRACE --- terrestrial water storage anomaly --- storage deficit --- mass balance --- snow depth --- glacier retreat --- surface DEM --- elevation change --- Sentinel --- Secchi disk --- chlorophyll a --- sediments --- phytoplankton --- floods --- remote sensing --- GIS --- disaster mapping --- Lower Chenab Plain --- laserscanning --- UAV—structure from Motion --- multi-spectral satellite data --- synthetic Aperture Radar --- glacier lake evolution --- glacier river --- slope processes --- rock fall --- cryosphere --- fusion --- inundation probability --- Hurricane Harvey --- ADCIRC --- n/a --- UAV-structure from Motion