By James K. Lein
Remote sensing has witnessed a renaissance as new sensor structures, facts assortment functions and photograph processing methodologies have accelerated the technological services of this technology into new and significant purposes components. possibly nowhere has this pattern been extra obtrusive than within the examine of earth environments. inside of this vast software zone distant sensing has confirmed to be a useful asset assisting well timed facts accumulating at more than a few synoptic scales, facilitating the mapping of complicated landscapes and selling the research of environmental approach. but distant sensing’s contribution to the research of human/environmental interplay is scattered all through a wealthy and numerous literature spanning the social and actual sciences, which frustrates entry to, and the sharing of the information received via, those fresh advances, and inhibits the operational use of those tools and methods in daily environmental perform, a famous hole that reduces the effectiveness of environmental administration courses. the target of this e-book is to deal with this hole and supply the synthesis of approach and alertness that's presently lacking within the environmental technology, re-introducing distant sensing as a huge decision-support technology.
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Additional resources for Environmental Sensing: Analytical Techniques for Earth Observation
Example text
Scale in this context is also defined in terms of generalization, where scale controls the apparent detail or complexity phenomena that may assume. Using this conceptual model, the connection between the idea of scale, “visibility,” and the observational detail a remote sensing device provides can be neatly established, which helps to identify the appropriate level of detail required to address an environmental problem and the capacity of a sensor to deliver that detail. At the macro-level, scale defines pattern and process in its most generalized form.
2006) The Global Earth Observation System: science serving society, Space Policy, 22, 8–11. Lein, J. (1999) Developing a Statewide Environmental Monitoring Program Using Landsat Data: The OhioView Example, Proceedings of the Pecora 14/Land Satellite Information Conference, pp. 303–313. Madhok, V. A. (2002) A process model for remote sensing data analysis, IEEE Transactions on Geoscience and Remote Sensing, 40, 680–686. Manson, S. (2001) Simplifying Complexity: a review of complexity theory, Geoforum, 32, 405–414.
The freedom to study how the program works, and adapt it to your needs. The freedom to redistribute copies so you can help your neighbor. The freedom to improve the program and to release your improvements to the public. Because open source software is freely available and licensed so that it can be freely distributed and modified, it removes several of the bottlenecks that frustrate application development. There are several licensing options for open source software but follow the same set of basic rules: • • • • • • • • Free redistribution Source code Integrity of the author’s source code No discrimination against persons or groups Distribution of license License must not be specific to a product License must not restrict other software License must be technology-neutral.