This book provides a thorough introduction to the use of remotely sensed data for wetland classification and mapping, as well as information on the latest technological advancements detailed by top scientists in the wetland classification and mapping field. It presents methods readily applicable to real-world challenges. The authors describe the best techniques for mapping and classifying wetlands in a multitude of different environments with commonly available data and with cost-effective methods. It also discusses the advantages and disadvantages of using different techniques in different environments.…mehr
This book provides a thorough introduction to the use of remotely sensed data for wetland classification and mapping, as well as information on the latest technological advancements detailed by top scientists in the wetland classification and mapping field. It presents methods readily applicable to real-world challenges. The authors describe the best techniques for mapping and classifying wetlands in a multitude of different environments with commonly available data and with cost-effective methods. It also discusses the advantages and disadvantages of using different techniques in different environments.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ralph W. Tiner recently retired from the U.S. Fish and Wildlife Service (FWS) where he served as regional wetland coordinator for the Northeast Region, Hadley, Massachusetts. He has been mapping wetlands since 1970, first as a graduate student at the University of Connecticut, then with the State of South Carolina, and finally as part of the FWS's National Wetlands Inventory Program. Through his participation on national committees, he has helped standardize on-the-ground wetland delineation practices for implementing federal wetland regulations in the United States. He is editor of the Wetland Science and Practice journal and the author of over 200 publications. Megan W. Lang is a research associate professor at the Department of Geographical Sciences, University of Maryland, College Park, Maryland. Her career in wetland sciences began in 1996, as an undergraduate student researching succession in abandoned rice fields while at the College of Charleston, South Carolina. She leads the U.S. Department of Agriculture Mid-Atlantic Wetland Conservation Effects Assessment Project, serves as an associate editor for the journal Wetlands, and has published over 40 scientific articles and book chapters. She has also helped to develop wetland monitoring strategies for the state of Maryland and the United States. Victor V. Klemas is professor emeritus at the School of Marine Science and Policy, University of Delaware, Newark, Delaware. Since 1976, he has directed the university's Center for Remote Sensing, where he pioneered the application of a wide range of remote sensing techniques in the study of wetland and estuarine ecosystems in the United States and overseas. Dr. Klemas has published his research results in 120 scientific journal articles and coauthored several books. He has also served on six scientific committees of the National Research Council (National Academy of Science) and various government advisory panels.
Inhaltsangabe
Challenges in Mapping Wetlands. Advances in Wetland Mapping Technology. Combining LiDAR and optical imagery with Object-based Image Analysis to Map Wetlands. Wetland InSAR. Classification of Wetlands by Combining Optical and SAR Data. Utility of Moderate Resolution Satellite Data in Tidal Wetland Mapping. Mapping and Monitoring Wetland with SAR. Remote Sensing of Submerged Aquatic Vegetation and Coral Reefs. Remote Sensing of Mangroves. Salt Marsh Classification Approaches and Future Mapping Methods. Great Lakes Coastal Wetland Mapping. Mapping Surface Water Variance in the Prairie Potholes with Landsat Data. Mapping the State and Dynamics of Boreal Wetlands using Synthetic Aperture Radar. Invasive Species Mapping. Global Wetland Mapping.
Challenges in Mapping Wetlands. Advances in Wetland Mapping Technology. Combining LiDAR and optical imagery with Object-based Image Analysis to Map Wetlands. Wetland InSAR. Classification of Wetlands by Combining Optical and SAR Data. Utility of Moderate Resolution Satellite Data in Tidal Wetland Mapping. Mapping and Monitoring Wetland with SAR. Remote Sensing of Submerged Aquatic Vegetation and Coral Reefs. Remote Sensing of Mangroves. Salt Marsh Classification Approaches and Future Mapping Methods. Great Lakes Coastal Wetland Mapping. Mapping Surface Water Variance in the Prairie Potholes with Landsat Data. Mapping the State and Dynamics of Boreal Wetlands using Synthetic Aperture Radar. Invasive Species Mapping. Global Wetland Mapping.
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