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This is a shortened version of the three volume Walford's Guide to Reference Material, 5th edition: Volume 1, Science and Technology (1989), Volume 2, Social and historical sciences, philosophy and religion (1990), and Volume 3, Generalia, language and literature, the arts (1991). There are more than 3,000 entries, forming an updated compilation of what are considered to be the basic items in the main volumes, plus some more recent material up to April 1992.
This document provides an organized guide to currently available and near-term remote sensors for land managers. Inexperienced as well as more advanced users can use this guide as a source of information and guidance in remote sensing decision making. The Selection Key, contains three sections; vegetation, soils, and land management objectives. Each of the three sections is organized by ecoregion, allowing the user to identify the imagery capable of meeting their needs. Many of the management objectives within the keys contain references to applicable articles describing scientific investigations. These referenced articles can provide the resource manager with information and ideas of how to approach their management objectives. Sensor Fact Sheets provide details on each sensor, and includes information on spatial resolution, band width, cost, revisit time, and other image characteristics. Sheets can be removed from the binder to allow side-by-side comparison of the sensors identified by the Selection Key. Sample Statements of Work and sources of Acquisition Assistance are included. Land managers can use the examples given to help them procure imagery themselves or to determine if additional assistance is needed. Brief explanatory sections cover the elements that make up a remotely sensed image, and how image interpreters use those elements to extract information from the image. There are also appendices, more appropriate for advanced users, that discuss spectral information and imagery sources. This guide will be successful if it helps resource managers better understand the nature of remotely sensed imagery, how to select specific sensors for specific tasks, decide whether to work independently or to use contractor expertise, find literature that discuss case studies similar to theirs, interpret historical imagery, and locate free or inexpensive imagery already owned by government agencies.
Containing useful information sources for the management of natural resources, this comprehensive text covers a large range of spatial resolutions and spectral characteristics. The book deals with the data sources and their physical interpretation, as well as processing techniques, such as visual interpretation and automated classifications, textural and structural processing and photogrammetry. There is a section on accuracy assessment and various applications relating to crops, grasslands, soils, landscapes, mines and coasts. The CD-ROM contains software and image data sets explaining the statistical methods of reference and contains a light version of the TeraVue software enabling the reader to compute the different processing spatial data.
**** The Brit counterpart to Sheehy (in which it is recommended). The new edition places the author, title, subject indices in each volume. Many entries cite reviews from other sources. Rather tiresome recitation of selected chapter contents. 6,000 entries with references in the annotations to one or two thousand further books. Covers sci- tech and paleontology, anthro, patents, medicine, trades and crafts. Arranged by UDC classification. Provides no prices. Available in the US from American Library Assn. Annotation copyrighted by Book News, Inc., Portland, OR
Remote Sensing provides information on how remote sensing relates to the natural resources inventory, management, and monitoring, as well as environmental concerns. It explains the role of this new technology in current global challenges. "Remote Sensing" will discuss remotely sensed data application payloads and platforms, along with the methodologies involving image processing techniques as applied to remotely sensed data. This title provides information on image classification techniques and image registration, data integration, and data fusion techniques. How this technology applies to natural resources and environmental concerns will also be discussed.