Accession Number:

ADA569976

Title:

Inferring Species Richness and Turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery

Descriptive Note:

Journal article

Corporate Author:

ENGINEER RESEARCH AND DEVELOPMENT CENTER CONCORD MA

Report Date:

2012-10-24

Pagination or Media Count:

17.0

Abstract:

Background The quantification of species-richness and species-turnover is essential to effective monitoring of ecosystems. Wetland ecosystems are particularly in need of such monitoring due to their sensitivity to rainfall, water management and other external factors that affect hydrology, soil, and species patterns. A key challenge for environmental scientists is determining the linkage between natural and human stressors, and the effect of that linkage at the species level in space and time. We propose pixel intensity based Shannon entropy for estimating species-richness, and introduce a method based on statistical wavelet multiresolution texture analysis to quantitatively assess interseasonal and interannual species turnover.

Subject Categories:

  • Ecology
  • Photography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE