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Digital Terrain Modeling: Principles and Methodology [Hardcover]

Zhilin Li (Author), Qing Zhu (Author), Chris Gold (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0415324629 978-0415324625 November 29, 2004

Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data acquisition, DTM accuracy assessment and mathematical models for DTM accuracy prediction, multi-scale representation, data management, contouring, visual analysis (or visualization), the derivation of various types of terrain parameters, and future development and applications.


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Product Details

  • Hardcover: 323 pages
  • Publisher: CRC Press (November 29, 2004)
  • Language: English
  • ISBN-10: 0415324629
  • ISBN-13: 978-0415324625
  • Product Dimensions: 9.3 x 6.4 x 0.9 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,220,344 in Books (See Top 100 in Books)

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2 of 2 people found the following review helpful:
4.0 out of 5 stars Excellent overview of digital terrain modeling, December 29, 2007
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This review is from: Digital Terrain Modeling: Principles and Methodology (Hardcover)
This is an excellent text providing a complete overview of the principles of digital terrain modeling. The reader will obtain a thorough understanding of terrain modeling from data sources and acquisition methods, to surface modeling. It provides insight into the methodology of creating a triangular irregular network, or TIN, model. It also provides insight into contouring, aspect angles, slope, drains (hydrological interpretation), etc. It also provides an excellent discussion of error and accuracy and how each are affected in the different phases of terrain data processing, from source/acquisition to final digital elevation model. Many mathematical methods are presented. I would recommend this text to anyone wishing to obtain an understanding of the processes and methodologies behind digital terrain modeling. The only reason that I did not give this text a 5-star rating is that I would have liked to have seen a more in-depth examination of efficient data processing algorithms with examples. But this is a minor deficiency and I would not let this keep someone from purchasing this text if he/she wishes to obtain a full understanded of digital terrain modeling. The References section is also quite useful pointing to many other interesting sources of information to further your knowledge.
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Inside This Book (learn more)
First Sentence:
People live on Earth and learn to cope with its terrain. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
terrain surface modeling, terrain feature points, having gross errors, digital terrain modeling, regular grid data, raster distance, stereo model, linear facets, geodetic coordinate system, contour data, maximum unambiguous range, moving averaging, planimetric accuracy, bilinear surface, raster mode, airborne laser scanning, photogrammetric system, triangular network, analytical plotter, plan curvature, grid interval, accuracy loss, triangulation network, skeleton lines, azimuth resolution
Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Hong Kong, Low Large
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