Landscape Pattern Analysis for Assessing Ecosystem Condition

Name: Landscape Pattern Analysis for Assessing Ecosystem Condition
Brand: Springer-Verlag New York Inc.
SKU: 9781441942494
Price: 634.56 PLN
Availability: InStock

Autor: Glen D. Johnson, Ganapati P. Patil

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

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This book presents a new method for assessing spatial pattern in raster land cover maps based on sat...

Informacje o książce

Autor

Glen D. Johnson, Ganapati P. Patil

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2010

strony

130

EAN

9781441942494

ISBN

1441942491

Enbook ID

01422754

Wydawca

Springer-Verlag New York Inc.

Waga

237

Wymiary

155 x 235 x 9

Pełny opis

This book presents a new method for assessing spatial pattern in raster land cover maps based on satellite imagery in a way that incorporates multiple pixel resolutions. This is combined with more conventional single-resolution measurements of spatial pattern and simple non-spatial land cover proportions to assess predictability of both surface water quality and ecological integrity within watersheds of the state of Pennsylvania (USA).As we begin the 21st century, one of our greatest challenges is the preservation and remediation of ecosystem integrity. This requires monitoring and assessment over large geographic areas, repeatedly over time, and therefore cannot be practically fulfilled by field measurements alone. Remotely sensed imagery therefore plays a crucial role by its ability to monitor large spatially continuous areas. This technology increasingly provides extensive spatial-temporal data; however, the challenge is to extract meaningful environmental information from such extensive data.§Landscape Pattern Analysis for Assessing Ecosystem Condition presents a new method for assessing spatial pattern in raster land cover maps based on satellite imagery in a way that incorporates multiple pixel resolutions. This is combined with more conventional single-resolution measurements of spatial pattern and simple non-spatial land cover proportions to assess predictability of both surface water quality and ecological integrity within watersheds of the state of Pennsylvania (USA). The efficiency of remote sensing for rapidly assessing large areas is realized through the ability to explain much of the variability of field observations that took several years and many people to obtain.

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