As coastal environments around the world face unprecedented natural and anthropogenic threats, advancements in the technologies that support geospatial data acquisition, imaging, and computing have profoundly enhanced monitoring capabilities in coastal studies. Providing systematic treatment of the key developments, Remote Sensing of Coastal Environments brings together renowned scholars to supply a clear presentation of the stateoftheart in this technically complex arena. Edited by a recipient of the prestigious PECASE award, this book provides unrivaled coverage of the issues unique to coastal environments. It presents the best available data for measuring and monitoring coastal zones and explains how decision makers and resource managers can use this data to address contemporary issues in coastal zone management. The text illustrates the latest developments in active remote sensing, hyperspectral remote sensing, high spatial resolution remote sensing, the integration of remote sensing and in situ data, and covers the effects of landcover and landuse change on coastal environments. Complete with representative case studies, this authoritative resource provides a timely snapshot of the wide range of remote sensing applications in coastal issues to enhance the understanding of how increasing disturbances to our coastal regions are affecting the ecological dynamics, biological diversity, and ecosystem health of our coastal environments.
[...]... Graduate School of Oceanography, University of Rhode Island Their 14 Remote Sensing of Coastal Environments insightful and visionary understanding of the coastal environments represents the authority on the issues of coastal management and the advancement of geospatial science and technology in coastal research and applications My research experience in coastal remote sensing and inspiration of working... Sciences Purdue University West Lafayette, Indiana Sensing of 1 Remote Environments: Coastal An Overview Yeqiao Wang CONTENTS 1.1 Introduction 1 1.2 Active Remote Sensing .4 1.3 Hyperspectral Remote Sensing .6 1.4 High Spatial Resolution Remote Sensing 8 1.5 Integration of Remote Sensing and In Situ Data 10 1.6 Effects of LCLUC 11 1.7 Remarks and Acknowledgments... to enhance the capacity in identification of coastal habitats Space-borne and airborne high spatial resolution remote sensing data, in meter and submeter levels, provide refined spatial details for mapping the coastal 4 Remote Sensing of Coastal Environments landscape and seascape Remote sensing is well known for its unique role in the study of dynamics of coastal landscape and land-cover/land-use... extraordinary data capturing capability for quantitative analysis of coastal topographic morphology 1.3 HYPERSPECTRAL REMOTE SENSING Part II of this book consists of three chapters under the category of hyperspectral remote sensing Hyperspectral technology brings new insights about remote sensing of the coastal environments Hyperion sensor on board of EO-1 satellite, launched in November 2000, is a representative... monitor large areas of coastal ecosystems or dense datasets where pixel sizes are expressed in centimeters is becoming less and less of an issue Remote sensing of the coastal waters is a challenge: The coastal environment is the boundary between the land and the ocean, and remote sensing of the coastal environment straddles the technical boundary of land and ocean satellite remote sensing Satellite radiometers... optimized for remote sensing of terrestrial environments, as well as those for the open ocean, are not well suited for quantitative remote sensing of phytoplankton biomass, sediment, and other constituents of coastal waters Remote sensing of coastal waters requires high spatial resolution to resolve characteristically small features, as well as daily or higher frequency coverage to understand many of the... NASA’s remote sensing assets have been used to address coastal issues, such as land-use and land-cover change (LCLUC) detection, harmful algal bloom Remote Sensing of Coastal Environments: An Overview 3 forecasting, regional sediment management, monitoring coastal forest conditions, and coastal line assessment and synthesis (Peek et al., 2008) Landsat type of remote sensing data has been used in coastal. .. INTEGRATION OF REMOTE SENSING AND IN SITU DATA Part IV of this book consists of four chapters under the category of integration of remote sensing and in situ measurements for habitat mapping Integration of multispectral, multitemporal, multisensor airborne and space-borne remote sensing data with GPS-guided in situ observations is becoming necessary for effective and timely inventory and monitoring of the coastal. .. Although Landsat and SPOT types of multispectral and medium spatial resolution remote sensing data have been broadly applied to address a variety of coastal issues, the complexity of coastal constituents imposes significant challenges in application of remote sensing technologies due to the dynamic spatial and temporal nature of coastal habitats Recent development in active remote sensing, such as LiDAR (light... Neeson, I., 2001, Evaluation of C-band SAR data for wetlands mapping, International Journal of Remote Sensing, 22(1): 71–88 Belluco, E., Camuffo, M., Ferrari, S., Modenese, L., Silvestri, S., Marani, A., and Marani, M., 2006, Mapping salt marsh vegetation by multispectral and hyperspectral remote sensing, Remote Sensing of Environment, 105: 54–67 Remote Sensing of Coastal Environments: An Overview 15 . (hardcover : alk. paper) 1. Coastal ecology Remote sensing. 2. Coats Remote sensing. 3. Coastal zone management Remote sensing. 4. Environmental monitoring Remote sensing. I. Wang, Yeqiao. II professorship by the Ministry of Education of China. In this book, Remote Sensing of Coastal Environment, Professor Wang examines three new research frontiers in coastal remote sensing, x Series Foreword t. less and less of an issue. Remote sensing of the coastal waters is a challenge: The coastal environment is the boundary between the land and the ocean, and remote sensing of the coastal environment