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基本説明
Discusses recent technologies and techniques of remote sensing as applied to topographic and environmental mapping.
Full Description
Advances in Mapping from Remote Sensor Imagery: Techniques and Applications reviews some of the latest developments in remote sensing and information extraction techniques applicable to topographic and thematic mapping. Providing an interdisciplinary perspective, leading experts from around the world have contributed chapters examining state-of-the-art techniques as well as widely used methods.
The book covers a broad range of topics including photogrammetric mapping and LiDAR remote sensing for generating high quality topographic products, global digital elevation models, current methods for shoreline mapping, and the identification and classification of residential buildings. Contributors also showcase cutting-edge developments for environmental and ecological mapping, including assessment of urbanization patterns, mapping vegetation cover, monitoring invasive species, and mapping marine oil spills—crucial for monitoring this significant environmental hazard.
The authors exemplify the information presented in this text with case studies from around the world. Examples include:
Envisat/ERS-2 images used to generate digital elevation models over northern Alaska
In situ radiometric observations and MERIS images employed to retrieve chlorophyll a concentration in inland waters in Australia
ERS-1/2 SAR images utilized to map spatiotemporal deformation in the southwestern United States
Aerospace sensors and related information extraction techniques that support various mapping applications have recently garnered more attention due to the advances in remote sensing theories and technologies. This book brings together top researchers in the field, providing a state-of-the-art review of some of the latest advancements in remote sensing and mapping technologies.
Contents
Modern photogrammetric mapping. Airborne LiDAR remote sensing and its applications. Advanced algorithms for land use and cover classification. Global digital elevation model development from satellite remote-sensing data. Digital elevation model generation from satellite interferometric synthetic aperture radar. Shoreline mapping. Seeing residential buildings from remotely sensed imagery: An object-oriented approach. Assessment of urbanization patterns and trends in the Gulf of Mexico region of the southeast United States with Landsat and nighttime lights imagery. Fractional vegetation cover mapping from the HJ-1 small satellite hyperspectral data. Estimating and mapping forest leaf area index using satellite imagery. Effects of the spatial pattern of vegetation cover on urban warming in a desert city. Remote sensing of algal blooms in inland waters using the matrix inversion method and semiempirical algorithms. Advanced geospatial techniques for mapping and monitoring invasive species. Surface deformation mapping with persistent scatterer radar interferometry. Mapping marine oil spills from space. Remote-sensing techniques for natural disaster impact assessment.
