English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

On July 15, 1995, a severe windstorm in northern New York affected thousands of acres of forest. A heterogeneous impact by the high winds was captured by two Landsat Thematic Mapper (TM) images taken prior to and following the event. This article uses landscape position, vegetation cover, and edaphic conditions of the damaged areas in an attempt to quantify and explain the differential impact by the wind on the forest. Using remote sensing and geographic information system (GIS) technologies, significantly correlated variables of six site factors were used to predict damaged areas for a 50-square-mile study site. However, the predicted areas had an overall accuracy of only 60%, with a kappa coefficient of 0.22, indicating that the storm impact was too complex to be reliably predicted using the available site variables. North. J. Appl. For. 22(1):48–53.

Forest Blowdown Prediction: A Correlation of Remotely Sensed Contributing Factors