Most environmental studies are based upon data collected at fine spatial scales plots, sediments, cores, etc.. Furthermore, temporal scales of these studies have been relatively short days, weeks, months and few studies have exceeded three years duration the typical funding cycle.; Despite this history, environmental scientists are now being called upon to extrapolate findings from "plot-level" studies to broader spatial scales and from short-term studies to longer temporal scales, up to decades for questions related to long-term processes such as global warming and the rise in sea level.; The complex questions being addressed internationally require that scientists take advantage of new technologies including remote sensing, geographic information systems GIS, and powerful climatic and environmental simulation models. As more environmental scientists begin to work at these broader spatial and temporal scales, and to utilize many of the newer technologies, they are recognising a whole new class of problems.; This book aims to address the most pertinent issues, and includes a comprehensive review of selected topics, case studies, and theoretical discussions, divided into seven sections each preceded by a brief introduction.

The objective of this project was to develop a system for environmental information management and decision support for transportation plans, programs, projects, operations, and maintenance activities. This document contains the following appendixes to the implementation handbook: (B) Survey Results; (C) Use Cases; (D) Best Practices; (E) Laws and Regulations; and (F) Definitions of Entities.

The current rate and scale of environmental change around the world makes the detection and understanding of these changes increasingly urgent. Subsequently, government legislation is focusing on measurable results of environmental programs, requiring researchers to employ effective and efficient methods for acquiring high-quality data. Envi

Environmental information systems (EIS) are concerned with the management of data about the soil, the water, the air, and the species in the world around us. This first textbook on the topic gives a conceptual framework for EIS by structuring the data flow into 4 phases: data capture, storage, analysis, and metadata management. This flow corresponds to a complex aggregation process gradually transforming the incoming raw data into concise documents suitable for high-level decision support. All relevant concepts are covered, including statistical classification, data fusion, uncertainty management, knowledge based systems, GIS, spatial databases, multidimensional access methods, object-oriented databases, simulation models, and Internet-based information management. Several case studies present EIS in practice.

"This book summarizes the state of the art in the emergent field of Corporate Environmental Management Information Systems, showing researchers, managers, engineers and information technology specialists how to develop and implement effective CEMIS"--Provided by publisher.

Derived from presentations made at the fourth annual UK National Conference on GIS Research, this work consists of contributions by leading experts in: geography, mathematics, computing science, surveying, archaeology, planning and medicine.

Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implicatio

Environmental Indices: Systems Analysis Approach examines the theoretical development of environmental indices and their practical application. Indicators can be powerful tools in guiding data and information collection processes, and careful development will lead to more focused and cost-effective global monitoring and observing systems at international level. The authorship is drawn from a group of internationally distinguished scientists and researches who are actively working towards a comprehensive set of tools and protocols such as simulation models, fuzzy clustering analysis and GIS methodologies that will lead to the development of meaningful environmental indices. This book will be a vital reference work for students, teachers and researches, together with policy makers, planners and all professional involved in development programs.