A Multi-scale Object-bases Approach to Mapping Coastal Natura 2000 Habitat Types Using High Spatial Resolution Airborne Imagery and LIDAR Data PDF Download
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Author: Eric Baptist
Publisher:
ISBN:
Category :
Languages : en
Pages : 69
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Book Description
Author: Eric Baptist
Publisher:
ISBN:
Category :
Languages : en
Pages : 69
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Book Description
Author: Ph.D., Prasad S. Thenkabail
Publisher: CRC Press
ISBN: 1482217988
Category : Technology & Engineering
Languages : en
Pages : 869
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Book Description
A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remo
Author: Prasad Thenkabail
Publisher: CRC Press
ISBN: 1482282674
Category : Technology & Engineering
Languages : en
Pages : 2304
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Book Description
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
Author: Junguo Liu
Publisher: Frontiers Media SA
ISBN: 2832545165
Category : Science
Languages : en
Pages : 135
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Book Description
Water plays an essential role in the development and functioning of a city, but could also be a key risk factor for urban pluvial flooding, which may occur more frequently in the context of future climate change. The traditional means of flood risk management relied heavily on engineering measures, or the use of “gray” infrastructure. Recently, there has been a call to integrate nature-based solutions (NBS), which make use of natural processes and ecosystem services, with conventional engineering approaches. NBS infrastructures and designs pay great attention to ecosystem services considerations in assessing their induced hydrological processes, as well as in managing the stormwater and mitigating urban flood and droughts. Nevertheless, compared with grey infrastructure, larger space could be demanded for NBS, while the buffer effect for NBS in extremes events is still uncertain for evaluation.
Author:
Publisher: Academic Press
ISBN: 0128130822
Category : Science
Languages : en
Pages : 4318
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Book Description
The oceans cover 70% of the Earth’s surface, and are critical components of Earth’s climate system. This new edition of Encyclopedia of Ocean Sciences, Six Volume Set summarizes the breadth of knowledge about them, providing revised, up to date entries as well coverage of new topics in the field. New and expanded sections include microbial ecology, high latitude systems and the cryosphere, climate and climate change, hydrothermal and cold seep systems. The structure of the work provides a modern presentation of the field, reflecting the input and different perspective of chemical, physical and biological oceanography, the specialized area of expertise of each of the three Editors-in-Chief. In this framework maximum attention has been devoted to making this an organic and unified reference. Represents a one-stop. organic information resource on the breadth of ocean science research Reflects the input and different perspective of chemical, physical and biological oceanography, the specialized area of expertise of each of the three Editors-in-Chief New and expanded sections include microbial ecology, high latitude systems and climate change Provides scientifically reliable information at a foundational level, making this work a resource for students as well as active researches
Author: Roger M. McCoy
Publisher: Guilford Press
ISBN: 9781593850791
Category : Science
Languages : en
Pages : 180
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Book Description
This concise, much-needed guide takes readers step by step through planning and executing field work associated with many different types of remote sensing projects. Remote sensing texts and research reports typically focus on data-analytic techniques while offering a dearth of information on procedures followed in the field. In contrast, this book provides clear recommendations for defining field work objectives, devising a valid sampling plan, finding locations using GPS, and selecting and using effective measurement techniques for field reflectance spectra and for studies of vegetation, soils, water, and urban areas. Appendices feature sample field note forms, an extensive bibliography on advanced and specialized methods, and online metadata sources.
Author: Thomas Blaschke
Publisher: Springer Science & Business Media
ISBN: 3540770585
Category : Science
Languages : en
Pages : 804
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Book Description
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
Author: Georgia H. De Stoppelaire
Publisher:
ISBN:
Category : Coastal zone management
Languages : en
Pages : 153
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Book Description
Knowledge of the geospatial distribution of vegetation is fundamental for resource management. The objective of this study is to investigate the possible use of airborne LIDAR (light detection and ranging) data to improve classification accuracy of high spatial resolution optical imagery and compare the ability of two classification algorithms to accurately identify and map wetland vegetation communities. In this study, high resolution imagery integrated with LIDAR data was compared jointly and alone; and the nearest neighbor (NN) and machine learning random forest (RF) classifiers were assessed in semi-automated geographic object-based image analysis (GEOBIA) approaches for classification accuracy of heterogeneous vegetation assemblages at Everglades National Park, FL, USA. Within the 145 ha study area, five dominant vegetation communities that establish the vegetation pattern were mapped: Subtropical hardwood forest, Slash pine with hardwoods, Pine savanna, Hardwood scrub, and Sawgrass. A LIDAR-derived canopy height model (CHM) was produced at 1 m spatial resolution and integrated with Digital Orthophoto Quarter-Quadrangle (DOQQ) optical imagery. Object-based segmentation was performed using the multi-resolution segmentation algorithm at optimal scale based on a global score. In a series of 42 experiments using the NN and RF classifiers, two data schemes were tested: fused data and optical imagery. Inclusion of additional first-order statistical features were also tested in the RF experiments. Results showed that the fused data produced significantly higher classification accuracy at the 95% confidence level than optical imagery alone in both sets of experiments. Among the classifiers, data schemes, and feature sets tested, the NN experiment using fused data with features of mean spectral values and mean CHM elevation values produced the highest overall accuracy (OA) of 83.6% and Kappa of 0.782, while the highest accuracy RF experiment produced an OA of 75.73% and Kappa of 0.695. Pairwise comparison of error matrices for the highest accuracy NN and RF experimental results were significantly different at the 95% confidence level with a Z score of 3.26. Findings show that the integration of LIDAR significantly improved classification accuracy of high spatial resolution optical imagery to identify and map wetland vegetation. Results from this study demonstrate fused LIDAR and high resolution imagery can be used to accurately map wetland vegetation assemblages in a repeatable, semi-automated GEOBIA approach.
Author: James A. Goodman
Publisher: Springer Science & Business Media
ISBN: 9048192927
Category : Technology & Engineering
Languages : en
Pages : 446
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Book Description
Remote sensing stands as the defining technology in our ability to monitor coral reefs, as well as their biophysical properties and associated processes, at regional to global scales. With overwhelming evidence that much of Earth’s reefs are in decline, our need for large-scale, repeatable assessments of reefs has never been so great. Fortunately, the last two decades have seen a rapid expansion in the ability for remote sensing to map and monitor the coral reef ecosystem, its overlying water column, and surrounding environment. Remote sensing is now a fundamental tool for the mapping, monitoring and management of coral reef ecosystems. Remote sensing offers repeatable, quantitative assessments of habitat and environmental characteristics over spatially extensive areas. As the multi-disciplinary field of coral reef remote sensing continues to mature, results demonstrate that the techniques and capabilities continue to improve. New developments allow reef assessments and mapping to be performed with higher accuracy, across greater spatial areas, and with greater temporal frequency. The increased level of information that remote sensing now makes available also allows more complex scientific questions to be addressed. As defined for this book, remote sensing includes the vast array of geospatial data collected from land, water, ship, airborne and satellite platforms. The book is organized by technology, including: visible and infrared sensing using photographic, multispectral and hyperspectral instruments; active sensing using light detection and ranging (LiDAR); acoustic sensing using ship, autonomous underwater vehicle (AUV) and in-water platforms; and thermal and radar instruments. Emphasis and Audience This book serves multiple roles. It offers an overview of the current state-of-the-art technologies for reef mapping, provides detailed technical information for coral reef remote sensing specialists, imparts insight on the scientific questions that can be tackled using this technology, and also includes a foundation for those new to reef remote sensing. The individual sections of the book include introductory overviews of four main types of remotely sensed data used to study coral reefs, followed by specific examples demonstrating practical applications of the different technologies being discussed. Guidelines for selecting the most appropriate sensor for particular applications are provided, including an overview of how to utilize remote sensing data as an effective tool in science and management. The text is richly illustrated with examples of each sensing technology applied to a range of scientific, monitoring and management questions in reefs around the world. As such, the book is broadly accessible to a general audience, as well as students, managers, remote sensing specialists and anyone else working with coral reef ecosystems.
Author: Sarah M. Hamylton
Publisher: Cambridge University Press
ISBN: 1107070473
Category : Science
Languages : en
Pages : 339
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Book Description
This book covers the spatial analytical tools needed to map, monitor and explain or predict coastal features, with accompanying online exercises.
