Advanced Monitoring of Migratory Birds on Military Lands

Abstract

Department of Defense natural resource managers need information on where specific bird species of conservation concern are most likely to occur, and where hotspots of migratory species richness are located, in order to successfully implement installation-specific Integrated Natural Resource Management Plans. In this project, the research team developed an approach to characterizing the patterns of presence and abundance of bird species in open-canopy ecosystems. The approach integrates landscape level analysis with spatially detailed habitat information, using remotely sensed image texture which is derived from unclassified imagery. We calculated image texture from digital aerial photos, from Landsat Thematic Mapper satellite imagery which provides data on individual bands of the electromagnetic spectrum, and from a derived product, the Normalized Difference Vegetation Index. Maps of avian abundance and occurrence were developed from models using image texture. The mapping effort revealed that texture measures account for variability within landcover classes, reflecting fine-scale patterns of species abundance and occurrence that are not apparent in maps based on models using landcover class data only, while retaining a broad-extent perspective. In summary, image texture is a useful measure in models of habitat. Models based on image texture performed equal to or better than models based on classified habitat maps for characterizing habitat use by birds, across broad extents. This project has highlighted the potential to integrate remotely sensed measures of habitat structure in habitat models. Our study represents a major step forward for habitat assessments across large areas.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA571378

Entities

People

  • Anna M. Pidgeon

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Birds
  • Cells
  • Habitats
  • Lepidoptera
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Computer Vision.
  • Wetland-Land-Environmental Management.

Technology Areas

  • Space