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Full-Text Articles in Life Sciences
Towards Greater Accuracy In Individual-Tree Mortality Regression, Clara Antón Fernández
Towards Greater Accuracy In Individual-Tree Mortality Regression, Clara Antón Fernández
Dissertations, Master's Theses and Master's Reports - Open
Background mortality is an essential component of any forest growth and yield model. Forecasts of mortality contribute largely to the variability and accuracy of model predictions at the tree, stand and forest level. In the present study, I implement and evaluate state-of-the-art techniques to increase the accuracy of individual tree mortality models, similar to those used in many of the current variants of the Forest Vegetation Simulator, using data from North Idaho and Montana. The first technique addresses methods to correct for bias induced by measurement error typically present in competition variables. The second implements survival regression and evaluates its …
Land Use/Cover Change Using Remote Sensing And Geographic Information Systems : Pic Macaya National Park, Haiti, Jessie A. Vital
Land Use/Cover Change Using Remote Sensing And Geographic Information Systems : Pic Macaya National Park, Haiti, Jessie A. Vital
Dissertations, Master's Theses and Master's Reports - Open
A post classification change detection technique based on a hybrid classification approach (unsupervised and supervised) was applied to Landsat Thematic Mapper (TM), Landsat Enhanced Thematic Plus (ETM+), and ASTER images acquired in 1987, 2000 and 2004 respectively to map land use/cover changes in the Pic Macaya National Park in the southern region of Haiti. Each image was classified individually into six land use/cover classes: built-up, agriculture, herbaceous, open pine forest, mixed forest, and barren land using unsupervised ISODATA and maximum likelihood supervised classifiers with the aid of field collected ground truth data collected in the field. Ground truth information, collected …