An exploration of systems providing hyperdimensional data with accuracy and fine resolution. The volume reflects the research results of the network of the EARSeL member laboratories. Topics include: data mining; agriculture and forestry; techniques and methods; hyperdimensional data; and more.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened.This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.

It collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.

Urban Remote Sensing is designed for upper level undergraduates, graduates, researchers and practitioners, and has a clear focus on the development of remote sensing technology for monitoring, synthesis and modeling in the urban environment. It covers four major areas: the use of high-resolution satellite imagery or alternative sources of image date (such as high-resolution SAR and LIDAR) for urban feature extraction; the development of improved image processing algorithms and techniques for deriving accurate and consistent information on urban attributes from remote sensor data; the development of analytical techniques and methods for deriving indicators of socioeconomic and environmental conditions that prevail within urban landscape; and the development of remote sensing and spatial analytical techniques for urban growth simulation and predictive modeling.

Hyperspectral remote sensing has been increasingly used in studding and assessing biophysical and biochemical properties of agricultural crops. This volume demonstrates the experience and the methods used in studying terrestrial vegetation using hyperspectral data. It focuses on specific applications, reviews existing “state-of-art” knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing and how to implement data processing mechanisms.

Advances in Agronomy has the highest impact factor among serial publications in agriculture. The Science Citation Index, 1986, reports an impact factor over 2,459 and a cited half-life over 10 years. Volume 75 contains four outstanding reviews dealing with phytoremediation, issues related to water use in China, humic substances, and remote sensing. Chapter 1 is an extensive review on phytoremediation of metals, metalloids, and radionuclides, including discussion on phytoextraction technologies, hyperaccumulator plants, chemically induced phytoextraction, and phytovolatilization. Chapter 2 covers the conservation and use of water in Chinese agriculture including engineering, economic, and agronomic aspects and considerations. Chapter 3 presents advances in understanding the structure of humic substances, particularly the concept of a supramolecular structure. Analytical and molecular scale evidence for this latter structure are presented as well as discussions on the role of humic superstructures in soils. Chapter 4 presents frontiers in quantitative remote sensing of soil properties including principles, methods, mechanisms, and limitations. - Volume 75 contains four outstanding reviews dealing with phytoremediation, issues related to water use in China, humic substances, and remote sensing - Chapter 1 is an extensive review on phytoremediation of metals, metalloids, and radionuclides, including discussion on phytoextraction technologies, hyperaccumulator plants, chemically induced phytoextraction, and phytovolatilization - Chapter 2 covers the conservation and use of water in Chinese agriculture including engineering, economic, and agronomic aspects and considerations - Chapter 3 presents advances in understanding the structure of humic substances, particularly the concept of a supramolecular structure. Analytical and molecular scale evidence for this latter structure are presented as well as discussions on the role of humic superstructures in soils - Chapter 4 presents frontiers in quantitative remote sensing of soil properties including principles, methods, mechanisms, and limitations

Four unique pan-European CORINE Land Cover datasets—CLC1990, CLC2000, CLC2006, and CLC2012— and three datasets concerning changes between 1990 and 2012 have presented the first-ever opportunity to observe the European landscape by means of land cover and its change. This book brings together all these datasets to demonstrate the methods of identification, analysis and assessment of the European land cover and its changes that took place during the intervals of 1990–2000, 2000–2006, and 2006–2012. It provides examples in which CLC data plays a role in offering solutions to European environmental problems such as the monitoring of urban dynamics, land fragmentation, ecosystems mapping and assessment, and high nature value farmland characteristics. Existing environmental problems require new approaches, and European Landscape Dynamics: CORINE Land Cover Data indicates a set of outlooks for CLC data generation that produce more detailed levels of analysis and bottom-up approaches while addressing the relationship of CLC data to the Infrastructure for Spatial Information in Europe (INSPIRE). It also discusses the future of CLC data generation. A valuable resource of up-to-date information, it is useful to professionals such as scientists, territorial planners, and environmentalists as well as students of geosciences and all those who are interested in cognition of the European landscape, its changes and development.

This work reflects preoccupations with the threats posed to our environment due to climatic factors, major and natural hazards of all kinds and demographic influences. Topics covered include land surface processes, coastal zones and atmospheric risks.