USING THE SPATIAL AND SPECTRAL PRECISION OF SATELLITE IMAGERY TO PREDICT WILDLIFE OCCURRENCE PATTERNS

By Edward J. Laurent, Haijing Shi, Demetrios Gatziolis, J. Lebouton, M. Walters, Jianguo Liu. 2005

57 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/7f9ad4311903b11d326f00c2f74bf0c47370670d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Murray K. Clayton
2. Volker C. Radeloff

In Ecology

1. Murray K. Clayton
2. Volker C. Radeloff
3. Anna M. Pidgeon

In Environmental Engineering

1. Volker C. Radeloff
2. Todd J. Hawbaker
3. Anna M. Pidgeon

Citations in the corpus

• High-resolution image texture as a predictor of bird species richness (2006, methodology): “NDVI and short-wave infrared (band 5) derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) effectively predict the regional occurrence of three species of warblers in Michigan ( Laurent et al., 2005 ).”