ISBN: 9780470844083 - uncertainty in remote sensing and gis (11 Ergebnisse)

Zustand: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. …

Zustand: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. xviii 307 4 of lates Illus.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 326 pages. 9.50x6.75x0.75 inches. In Stock.

Zustand: New. Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets a.

Buch. Zustand: Neu. Uncertainty in Remote Sensing and GIS | Giles M. Foody (u. a.) | Buch | 326 S. | Englisch | 2003 | John Wiley & Sons Inc | EAN 9780470844083 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.

Zustand: New. The potential of remote sensing and geographical information science within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. This book discusses the uncertainty in remote sensing. Editor(s): Foody, Giles M.; Atkinson, Peter M. Num Pages: 326 pages, Illustrations (some col.), maps (some col.). BIC Classification: RB; RGW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 172 x 24. Weight in Grams: 777. . 2002. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it. This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made. Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject: \* Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics \* Covers range of material from base overviews to specific applications \* Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.…