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.

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

The study assesses effects of population growth on agricultural land and forest in the Volta River Basin of Ghana. Most districts of the research area are experiencing shortfalls in land suitable for agriculture and deforestation. The number of farm holdings is decreasing and practice of fallow lands (last consequences of the former shifting cultivation) is also vanishing. Although households are wealthier due to new sources of off-farm income, the use of tractor, inorganic fertilizer and improved seed variety for farming is still low due to high costs. On deforestation, increases in fuel wood use and agricultural extensification are the major causes.

An extensive review of remote sensing principles with an emphasis on environmental applications, Fundamentals of Satellite Remote Sensing discusses a wide range of topics, from physical principles to data acquisition systems and on to visual and digital interpretation techniques. The text focuses on the interpretation and analysis of remote sensing images and how they improve our understanding of environmental processes and their interaction with human activities. The authors discuss new interpretation approaches, including hyperspectral analysis, high-spatial resolution data, and radiative transfer models. The presentation includes an analysis of accuracy assessment methods and demonstrates how to integrate remote sensing results with geographic information systems. It also covers recent missions, such as Terra-Aqua, Envisat, Ikonos-Quickbird-Geoeye and SPOT-5, as well as LIDAR and interpherometric radar. The discussion of visual criteria to extract interpretation from satellite images emphasizes differences and similarities with conventional photo-interpretation techniques. A chapter on accuracy assessment and the connection between remote sensing and geographic information systems helps readers extend the interpretation of satellite images to a more operational, applications-oriented framework.