Cargando…
Monitoring Urban Greenness Dynamics Using Multiple Endmember Spectral Mixture Analysis
Urban greenness is increasingly recognized as an essential constituent of the urban environment and can provide a range of services and enhance residents’ quality of life. Understanding the pattern of urban greenness and exploring its spatiotemporal dynamics would contribute valuable information for...
Autores principales: | Gan, Muye, Deng, Jinsong, Zheng, Xinyu, Hong, Yang, Wang, Ke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4223042/ https://www.ncbi.nlm.nih.gov/pubmed/25375176 http://dx.doi.org/10.1371/journal.pone.0112202 |
Ejemplares similares
-
An Improved Spatiotemporal Fusion Approach Based on Multiple Endmember Spectral Mixture Analysis
por: Liu, Wenjie, et al.
Publicado: (2019) -
Fractional Vegetation Cover Estimation Based on an Improved Selective Endmember Spectral Mixture Model
por: Li, Ying, et al.
Publicado: (2015) -
A Geographic Information-Assisted Temporal Mixture Analysis for Addressing the Issue of Endmember Class and Endmember Spectra Variability
por: Li, Wenliang, et al.
Publicado: (2017) -
Dynamics of Hierarchical Urban Green Space Patches and Implications for Management Policy
por: Yu, Zhoulu, et al.
Publicado: (2017) -
A Tetrahedron-Based Endmember Selection Approach for Urban Impervious Surface Mapping
por: Wang, Wei, et al.
Publicado: (2014)