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Radiometric Calibration: Theory and Methods contains an engineering development of the theories and methods of radiometric calibration. This book is organized into 18 chapters. Chapters I to V present an introduction to nomenclature, radiation geometry, and blackbody radiation that serves to simplify the discussion of the calibration theory. The rest of the chapters provide the theory of sensor calibration, reviewing numerous examples in which laboratory equipment and specific techniques are described. Algorithms are also covered for digital computer processing as appropriate for each functional aspect of sensor characterization. This publication is intended for engineers and applied physicists concerned with sensor calibration and the interpretation of sensor data.
Increasingly, in the field of earth observation imagery, there is a need for image quality to be assessable in traceable Standard International Units (SIU), and for the standardization of common mapping projections. These two needs, plus the increased usage of combinations of data and image types, provided the stimuli for the development of this im
A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of
The agriculture system is under pressure to increase production every year as global population expands and more people move from a diet mostly made up of grains, to one with more meat, dairy and processed foods. This book uses a decade of primary research to examine how weather and climate, as measured by variations in the growing season using satellite remote sensing, has affected agricultural production, food prices and access to food in food-insecure regions of the world. The author reviews environmental, economics and multidisciplinary research to describe the connection between global environmental change, changing weather conditions and local staple food price variability. The context of the analysis is the humanitarian aid community, using the guidance of the USAID Famine Early Warning Systems Network and the United Nation’s World Food Program in their response to food security crises. These organizations have worked over the past three decades to provide baseline information on food production through satellite remote sensing data and agricultural yield models, as well as assessments of food access through a food price database. These datasets are used to describe the connection, and to demonstrate the importance of these metrics in overall outcomes in food-insecure communities.