Remote Sensing for Landscape Ecology: New Metric Indicators for Monitoring, Modeling, and Assessment of Ecosystems (Mapping Science) [Hardcover]

Robert C. Frohn (Author)

Book Description

ISBN-10: 1566702755 | ISBN-13: 978-1566702751 | Publication Date: January 15, 1998 | Edition: 1

This book presents a new set of metrics that allows remotely sensed data to be used effectively in landscape ecology. This groundbreaking new work is the first to present new metrics for remote sensing of landscapes and demonstrate how they can be used to yield more accurate analyses for GIS studies. It assesses the current state of the field and how remote sensing and landscape metrics have been used to date and explains how some of the traditional metrics were developed and how they can fail in landscape studies. The new metrics are introduced and their benefits and uses are then explained. This is the first single source for complete background information and instructions on using the new metrics.

Product Details

• Hardcover: 99 pages
• Publisher: CRC-Press; 1 edition (January 15, 1998)
• Language: English
• ISBN-10: 1566702755
• ISBN-13: 978-1566702751
• Product Dimensions: 9.2 x 6.3 x 0.6 inches
• Shipping Weight: 12 ounces
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #3,622,080 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

5 of 5 people found the following review helpful:

4.0 out of 5 stars Much needed critalcal view on spatial indices, February 22, 1999

By A Customer

This review is from: Remote Sensing for Landscape Ecology: New Metric Indicators for Monitoring, Modeling, and Assessment of Ecosystems (Mapping Science) (Hardcover)

Working with the development of indices/indicators for sustainability and structural diversity of forests, I find this little book highly inspiring. Wanting to use some of the metrics that are implemented in e.g. Fragstats and r.le for GRASS - it was nice to find out that someone had already taken a critical view into the opportunities and pitfalls of this approach. The disadvantages of the "contagion" and "fractal dimension" indices are demonstrated be use of diffent land cover data sets derived from Remote Sensing sources, mostly Landsat TM. Two new metrics are proposed, and (small wonder) they are demonstrated to work much better than contagion and f.d. It is nice to see a book that really focuses on a specific subject, although it would have been nice with a review of some more indices and a discussion of other ways to evaluate landscape structure from RS (and GIS) data.