Measurement of habitat predictor variables for organism-habitat models using remote sensing and image segmentation

Remote sensing of habitat characteristics using echo metrics and image-based seabed classes

The seabed can be classified using data from vertical, split-beam echosounders. This was demonstrated recently using amodel parameterized with acoustic estimates of slope, roughness, normal-incidence backscattering strength, and variation of backscattering strength by frequency and incidence angle. These seabed classifications were interpreted and validated using published surficial geology map...

Multi-scale Forest Habitat Monitoring Using Remote Sensing Data

Remote sensing imagery and advanced image analysis methods show high potential for monitoring forest habitat issues. The objective of this paper is to provide ready-to-use information on forest habitats by conducting a multi-scale approach for the delineation of such, and the assessment of their conservation status on multi-spectral satellite imagery of high and very high spatial resolution, as...

Managing Loggerhead Shrike Habitat Using Remote Sensing Products

The prairie population of the loggerhead shrike (Lanius ludovicianus excubitorides) is dependent upon two characteristics of a grassland landscape that require specific management to maintain: shrubs taller than 1.8 m tall for nesting and tall grass for foraging. The purpose of this study is to measure the landscape variables that are important to loggerhead shrike persistence at landscape spat...

A Remote Sensing and GIS-Based Model of Habitat as a Predictor of Biodiversity

Radar Remote Sensing of Habitat Structure for Biodiversity Informatics