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The Land-cover Change Mapper (LCM) and its Application to Timber Harvest Monitoring in Western Canada
Guillermo Castilla, Richard H. Guthrie, and Geoffrey J. Hay
An automated change detection and delineation tool, and how it can be used to map new clearcuts in a large forested area.
Enhancing Binary Change Detection Performance Using A Moving Threshold Window (MTW) Approach
Jungho Im, Jinyoung Rhee, and John R. Jensen
An automated calibration model using a new concept called the Moving Threshold Window (MTW) was developed to improve binary change detection methods based on the traditional Symmetric Threshold Window (STW) approach.
Individual Object Change Detection for Monitoring the Impact of a Forest Pathogen on a Hardwood Forest
Tim De Chant and Maggi Kelly
A novel change detection technique for tracking changes in individual forest canopy gaps over multiple years of imagery.
Range of Categorical Associations for Comparison of Maps with Mixed Pixels
Robert Gilmore Pontius, Jr. and John Connors
A method to quantify the range of possible statistical associations among categories in maps that have mixed pixels.
Projection of Land Use Change Patterns Using Kernel Logistic Regression
Bo Wu, Bo Huang, and Tung Fung
A kernel logistic regression framework based on feature vector set is developed to analyze and predict land-use change patterns.
A Disturbance Inventory Framework for Flexible and Reliable Landscape Monitoring
J. Linke, G.J. McDermid, D.N. Laskin, A.J. McLane, A. Pape, J. Cranston, M. Hall-Beyer, and S.E. Franklin
An approach for creating spatially consistent and categorically dynamic map time series through backdating-updating strategies and change analysis.
Quantifying Impacts of Land Ownership on Regional Forest NDVI Dynamics: A Case Study at Bankhead National Forest in Alabama, USA
Xiongwen Chen and Rory Fraser
A higher proportion of private forest land could affect regional forest NDVI dynamics in complex and ecologically significant ways.
Spatial Change Optimization:
Integrating GA with Visualization for 3D Scenario Generation
Magesh Chandramouli, Bo Huang, and Lulu Xue
A genetic algorithms (GA)-based multiobjective optimization approach for generating alternative land-use scenarios and a visual evaluation tool for assessing the Pareto solutions.
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