Remote sensing techniques for classifying the habitat of an endangered bird species on Mauna Kea

Author:

Riddle, Ryan

Title:

Remote sensing techniques for classifying the habitat of an endangered bird species on Mauna Kea

Periodical:

Department of Geography

Year:

2010

Volume:

M.A.

Subject:

Endangered species birds Mauna Kea Mamane-naio forest Sophora chrysophylla Myoporum sandwicense Palila Loxioides bailleui Remote sensing techniques

Summary:

This study investigates the possibility of using high-spatial resolution satellite imagery (4-meter IKONOS imagery) to differentiate between two Hawaiian forest species: Sophora chrysophylla (mamane) and Myoporum sandwicense (naio), which are critical habitat to the survival of Loxioides bailleui (palila), an avian species that is listed as endangered. This study utilizes four types of supervised classification (maximum likelihood, mahalanobis, parallelepiped, and minimum distance) in association with texture filters and vegetation indices, to classify mamane and naio in order to find the best classification technique and to compare and contrast the results obtained by each classifier.

URL:

http://hdl.handle.net/10125/101608

Date:

December 2010

Collection:

Monographs