Environmental application of aerial reconnaissance to search for open dumps
Three approaches to using aerial photography are evaluated for searching for open dumps in the state of Indiana. Photography with hand-held cameras from a small airplane proved more effective and flexible than either photo-interpretation of existing air photos or subcontracting to a federal agency for new aerial photography. The rationale for our choice of aerial reconnaissance, other uses of low-level aerial surveillance, the utility of small-format camera aerial photography for environmental analysis, and methods used for locating open dumps are discussed.
Object-oriented industrial solid waste identification using HJ satellite imagery: a case study of phosphogypsum
The increasing volume of industrial solid wastes presents a critical problem for the global environment. In the detection and monitoring of these industrial solid wastes, the traditional field methods are generally expensive and time consuming. With the advantages of quick observations taken at a large area, remote sensing provides an effective means for detecting and monitoring the industrial solid wastes in a large scale. In this paper, we employ an object-oriented method for detecting the industrial solid waste from HJ satellite imagery. We select phosphogypsum which is a typical industrial solid waste as our target. Our study area is located in Fuquan in Guizhou province of China. The object oriented method we adopted consists of the following steps: 1) Multiresolution segmentation method is adopted to segment the remote sensing images for obtaining the object-based images. 2) Build the feature knowledge set of the object types. 3) Detect the industrial solid wastes based on the object-oriented decision tree rule set. We analyze the heterogeneity in features of different objects. According to the feature heterogeneity, an object-oriented decision tree rule set is then built for aiding the identification of industrial solid waste. Then, based on this decision tree rule set, the industrial solid waste can be identified automatically from remote sensing images. Finally, the identified results are validated using ground survey data. Experiments and results indicate that the object-oriented method provides an effective method for detecting industrial solid wastes.
Russian Imperialism from Ivan the Great to the Revolution
Chapter 1 Preface to the Paperback Edition Chapter 2 Foreword Chapter 3 Introduction Chapter 4 The Origins of Russian Imperialism Chapter 5 Pan-Slavism or Pan-Russianism Chapter 6 Russia and the Baltic Chapter 7 Russo-Polish Confrontation Chapter 8 The Ukraine and Muscovite Expansion Chapter 9 Russian Domination in the Balkans Chapter 10 Russian Penetration of the Caucasus Chapter 11 Russian Conquest and Colonization of Central Asia Chapter 12 Russian Designs on the Far East Chapter 13 Notes Chapter 14 About the Authors Chapter 15 Index Chapter 16 Maps