Detecting the Land-Cover Changes Induced by Large-Physical Disturbances Using Landscape Metrics, Spatial Sampling, Simulation and Spatial Analysis

The objectives of the study are to integrate the conditional Latin Hypercube Sampling (cLHS), sequential Gaussian simulation (SGS) and spatial analysis in remotely sensed images, to monitor the effects of large chronological disturbances on spatial characteristics of landscape changes including spat...

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Detalles Bibliográficos
Autores principales: Chu, Hone-Jay, Lin, Yu-Pin, Huang, Yu-Long, Wang, Yung-Chieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290484/
https://www.ncbi.nlm.nih.gov/pubmed/22399972
http://dx.doi.org/10.3390/s90906670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290484/
https://www.ncbi.nlm.nih.gov/pubmed/22399972
http://dx.doi.org/10.3390/s90906670

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