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

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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Bibliographic Details
Main Authors: Hone-Jay Chu, Yu-Pin Lin, Yu-Long Huang, Yung-Chieh Wang
Format: Article
Language:English
Published: MDPI AG 2009-08-01
Series:Sensors
Subjects:
spatial analysis
Latin hypercube sampling
conditional simulation
landscape metrics
land cover change
remotely sensed images
geostatistics
Google Earth
Online Access:http://www.mdpi.com/1424-8220/9/9/6670/

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