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

~ (Author) "This book introduces two improved metrics of fragmentation and patch shape complexity for landscape ecology analysis of remote sensing images..." (more)
Key Phrases: Sierra Nevada, Sensitivity of Metrics, Ouro Preto (more...)
4.0 out of 5 stars  See all reviews (1 customer review)


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Product Description

Landscape ecology is a rapidly growing science of quantifying the ways in which ecosystems interact - of establishing a link between activities in one region and repercussions in another region. Remote sensing is a fast, inexpensive tool for conducting the landscape inventories that are essential to this branch of science. However, anyone who has conducted studies in the field has already found that traditional landscape ecology metrics are not always reliable with remote images. Landscape Ecology: New Metric Indicators for Monitoring, Modeling, and Assessment of Ecosystems with Remote Sensing 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. The new metrics expand the capabilities of GIS, reduce interference and incorrect readings, help ecologists better understand ecosystem relationships, and reduce study costs. This set of metrics should be adopted by the EPA and will be the standard measure for future landscape analysis.This authoritative guide assesses the current state of the field and how remote sensing and landscape metrics have been used to date. It also explains how some of the traditional metrics were developed and how they can fail in landscape studies. Once this background has been established, the new metrics are introduced and their benefits and uses explained. The information in this book has previously been available only in scattered journal articles; 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.com Sales Rank: #2,574,254 in Books (See Bestsellers in Books)

More About the Author

Robert C. Frohn
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Inside This Book (learn more)
First Sentence:
This book introduces two improved metrics of fragmentation and patch shape complexity for landscape ecology analysis of remote sensing images. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sierra Nevada, Sensitivity of Metrics, Ouro Preto, Environmental Protection Agency, Model Typical Case, Status Contagion
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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
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.
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