Land Surface Remote Sensing in Urban and Coastal Areas

Presents recent developments in the use of instrumentation for remote sensing, exploring Earth observation with more efficient and adaptable applications

Nicolas Baghdadi (Author), Mehrez Zribi (Author)

9781785481604, Elsevier Science

Hardback, published 5 September 2016

392 pages
22.9 x 15.1 x 2.6 cm, 0.54 kg

For a long time, the dynamics of urban and coastal areas have been the focus of administrators and decision makers in charge of public policy in order to better take into account anthropogenic pressure and the impact of climate change. This volume presents applications of remote sensing in urban environments and coastal zones, including the use of remote sensing in city planning (urban expansion, light pollution, air quality, etc.), observation of the properties of ocean color, the study of coastal dynamics (identifying coastlines and estimating sediment balances, etc.) and analysis of the dynamics of mangroves. This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in remote sensing applied to the coastal environment and urban areas.Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data.

1. Optical Remote Sensing in Urban Environments2. Urban Scene Analysis with Mobile Mapping Technology3. Satellite Imagery: a Tool for Territorial Development4. Remote Sensing and Ocean Color 5. LiDAR Measurements and Applications in Coastal and Continental Waters6. Contributions of Airborne Topographic LiDAR to the Study of Coastal Systems7. Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing8. Remote Sensing-based Monitoring of the Muddy Mangrove Coastline of French Guiana

Subject Areas: Conservation of wildlife & habitats [RNKH], The environment [RN], Geographical information systems [GIS & remote sensing RGW]