Cargando…
Inferring Species Richness and Turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery
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, an...
Autores principales: | Convertino, Matteo, Mangoubi, Rami S., Linkov, Igor, Lowry, Nathan C., Desai, Mukund |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480366/ https://www.ncbi.nlm.nih.gov/pubmed/23115629 http://dx.doi.org/10.1371/journal.pone.0046616 |
Ejemplares similares
-
Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
por: Ortega, Julio, et al.
Publicado: (2016) -
Comparison of various texture classification methods using multiresolution analysis and linear regression modelling
por: Dhanya, S., et al.
Publicado: (2016) -
The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
por: Zhou, Jingjing, et al.
Publicado: (2017) -
Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
por: Belgiu, Mariana, et al.
Publicado: (2014) -
Generalized multiresolution analyses
por: Merrill, Kathy D
Publicado: (2018)