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Full-Text Articles in Life Sciences
Multi-Temporal Unmixing Analysis Of Hyperion Images Over The Guanica Dry Forest, Maria C. Torres-Madronero, Miguel Velez-Reyes, Skip J. Van Bloem, Jesus D. Chinea
Multi-Temporal Unmixing Analysis Of Hyperion Images Over The Guanica Dry Forest, Maria C. Torres-Madronero, Miguel Velez-Reyes, Skip J. Van Bloem, Jesus D. Chinea
Publications
This paper presents a methodology to analyze time-series data from Hyperion to study seasonal vegetation dynamics on the Guánica Dry Forest in Puerto Rico. Unmixing analysis is performed over ten near-cloud-free Hyperion images collected in different months in 2008. Abundance maps and endmembers estimated from the unmixing procedure are used to analyze the seasonal changes in the forest. Results from the analysis are compared with published knowledge of the Guanica Forest phenology.
Developing Digital Vegetation For Central Hardwood Forest Types: A Case Study From Leslie County, Ky, William Conner, Bo Song, Wei-Lun Tsai, Chiao-Ying Chou, Thomas M. Williams, Brian J. Williams
Developing Digital Vegetation For Central Hardwood Forest Types: A Case Study From Leslie County, Ky, William Conner, Bo Song, Wei-Lun Tsai, Chiao-Ying Chou, Thomas M. Williams, Brian J. Williams
Publications
Digital vegetation is the computerized representation, with either virtual images or animations, of vegetation types and conditions based on current measurements or ecological models. Digital vegetation can be useful in evaluating past, present, or future land use; changes in vegetation linked to climate change; or restoration efforts. Digital vegetation can be spatially explicit at various scales: region, subregion, landscape, landtype, forest, or stand. Advances in computer technology allow us to build digital vegetation based on integrated environmental information (i.e., soils, topography, forest types, and vegetation composition).