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| Author | : Nickolas Lea Faust |
| Publisher | : SPIE-International Society for Optical Engineering |
| Total Pages | : 276 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : |
First conference has title: Automated geo-spatial image and data exploitation.
| Author | : Peggy Agouris |
| Publisher | : CRC Press |
| Total Pages | : 246 |
| Release | : 2005-08-11 |
| Genre | : Technology & Engineering |
| ISBN | : 0415380499 |
With the turn of the century our ability to collect and store geospatial information has increased considerably. This has resulted in ever-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made available, users rely, now more than ever, on the geospatial data infrastructure. The availability and accessibility of such data, as well as the ability to effectively manage, model, index and query the data is becoming a cornerstone in numerous applications. Moreover, the ability to formalize and represent data is becoming key to integration and interoperability. With the introduction of distributed geospatial data infrastructure and the implementation of web-based services, the impact of such issues is becoming even more evident. Inspired by these challenges, this book on Next Generation Geospatial Information offers a collection of original contributions from leading experts in spatial information modeling, image processing and analysis, database management, ontologies and data mining. It provides a unique insight into the current state-of-the-art and future challenges in geospatial information through four thematic chapters, each of which represents a primary research theme, namely distributed spatial infrastructure, image-based geospatial information management, indexing and querying geospatial databases, and ontology and semantics for geospatial data.
| Author | : Martin Werner |
| Publisher | : Springer Nature |
| Total Pages | : 641 |
| Release | : 2021-05-07 |
| Genre | : Computers |
| ISBN | : 3030554627 |
This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.
| Author | : Peggy Agouris |
| Publisher | : CRC Press |
| Total Pages | : 180 |
| Release | : 2005-09-14 |
| Genre | : Technology & Engineering |
| ISBN | : 9781134179701 |
With the turn of the century our ability to collect and store geospatial information has increased considerably. This has resulted in ever-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made available, users rely, now more than ever, on the geospatial data infrastructure. The availability and accessibility of such data, as well as the ability to effectively manage, model, index and query the data is becoming a cornerstone in numerous applications. Moreover, the ability to formalize and represent data is becoming key to integration and interoperability. With the introduction of distributed geospatial data infrastructure and the implementation of web-based services, the impact of such issues is becoming even more evident. Inspired by these challenges, this book on Next Generation Geospatial Information offers a collection of original contributions from leading experts in spatial information modeling, image processing and analysis, database management, ontologies and data mining. It provides a unique insight into the current state-of-the-art and future challenges in geospatial information through four thematic chapters, each of which represents a primary research theme, namely distributed spatial infrastructure, image-based geospatial information management, indexing and querying geospatial databases, and ontology and semantics for geospatial data.
| Author | : Society of Photo-optical Instrumentation Engineers |
| Publisher | : SPIE-International Society for Optical Engineering |
| Total Pages | : 114 |
| Release | : 2001 |
| Genre | : Technology & Engineering |
| ISBN | : |
| Author | : Martin Wegmann |
| Publisher | : Pelagic Publishing Ltd |
| Total Pages | : 372 |
| Release | : 2020-09-14 |
| Genre | : Science |
| ISBN | : 1784272140 |
This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 136 |
| Release | : 2003-05-04 |
| Genre | : Technology & Engineering |
| ISBN | : 0309087384 |
A grand challenge for science is to understand the human implications of global environmental change and to help society cope with those changes. Virtually all the scientific questions associated with this challenge depend on geospatial information (geoinformation) and on the ability of scientists, working individually and in groups, to interact with that information in flexible and increasingly complex ways. Another grand challenge is how to respond to calamities-terrorist activities, other human-induced crises, and natural disasters. Much of the information that underpins emergency preparedness, response, recovery, and mitigation is geospatial in nature. In terrorist situations, for example, origins and destinations of phone calls and e-mail messages, travel patterns of individuals, dispersal patterns of airborne chemicals, assessment of places at risk, and the allocation of resources all involve geospatial information. Much of the work addressing environment- and emergency-related concerns will depend on how productively humans are able to integrate, distill, and correlate a wide range of seemingly unrelated information. In addition to critical advances in location-aware computing, databases, and data mining methods, advances in the human-computer interface will couple new computational capabilities with human cognitive capabilities. This report outlines an interdisciplinary research roadmap at the intersection of computer science and geospatial information science. The report was developed by a committee convened by the Computer Science and Telecommunications Board of the National Research Council.
| Author | : |
| Publisher | : |
| Total Pages | : 3 |
| Release | : 2004 |
| Genre | : |
| ISBN | : |
The transition from static to motion imagery enabled by UAVs, and distributed sensor networks introduces significant challenges monitoring multiple video streams, indexing large amounts of video, and retrieving video segments with significant spatiotemporal events. Current analyst workflow systems support spatiotemporal analysis minimally: analysts roam through large image mosaics, revisit the same area, and make use of accompanying geographic information systems (GIS) databases to examine the evolution of a scene. However, the analyst still needs to decide whether the trajectory of a vehicle appears suspicious, whether a moving convoy resembles a formation of military vehicles, or whether the trajectory of a truck today resembles yesterday s pattern of movement of another vehicle. As data influx is increasing at substantially high rates, agencies are trying hard to keep up with tremendous amounts of incoming data, further exasperated during crises (e.g. military operations), where the rate of incoming information explode (e.g. as areas of interest are under heavy surveillance by fleets of UAVs).
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 198 |
| Release | : 2007-01-19 |
| Genre | : Science |
| ISBN | : 0309103401 |
In the past few years the United States has experienced a series of disasters, such as Hurricane Katrina in 2005, which have severely taxed and in many cases overwhelmed responding agencies. In all aspects of emergency management, geospatial data and tools have the potential to help save lives, limit damage, and reduce the costs of dealing with emergencies. Great strides have been made in the past four decades in the development of geospatial data and tools that describe locations of objects on the Earth's surface and make it possible for anyone with access to the Internet to witness the magnitude of a disaster. However, the effectiveness of any technology is as much about the human systems in which it is embedded as about the technology itself. Successful Response Starts with a Map assesses the status of the use of geospatial data, tools, and infrastructure in disaster management, and recommends ways to increase and improve their use. This book explores emergency planning and response; how geospatial data and tools are currently being used in this field; the current policies that govern their use; various issues related to data accessibility and security; training; and funding. Successful Response Starts with a Map recommends significant investments be made in training of personnel, coordination among agencies, sharing of data and tools, planning and preparedness, and the tools themselves.
| Author | : Thomas Blaschke |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 804 |
| Release | : 2008-08-09 |
| Genre | : Science |
| ISBN | : 3540770585 |
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).
