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Full-Text Articles in Life Sciences
Standardized, Cost-Effective, And Repeatable Remote Sensing Methodology To Quantify Forested Resources In Texas, Daniel Unger, James Kroll, I-Kuai Hung, Jeffrey M. Williams, Dean W. Coble
Standardized, Cost-Effective, And Repeatable Remote Sensing Methodology To Quantify Forested Resources In Texas, Daniel Unger, James Kroll, I-Kuai Hung, Jeffrey M. Williams, Dean W. Coble
Faculty Publications
A standardized remote sensing methodology was evaluated for its use in quantifying the forested resources of the state of Texas in a timely and cost-effective manner. Landsat data from 2002 were used to create a land cover base map encompassing a four-county study area in East Texas. Site-specific and non-site-specific accuracy assessments of the classified map indicate that overall the 2002 base map accuracy of 72.78% was within acceptable remote sensing standards for Landsat data and that forest cover types derived from 2002, 1987, and 1980 Landsat data were within 4.4, 0.5, and 7.4% agreement with Forest Inventory and Analysis …
Multitemporal Analysis Using Landsat Thematic Mapper (Tm) Bands For Forest Cover Classification In East Texas, Jason Grogan, I-Kuai Hung, James Kroll
Multitemporal Analysis Using Landsat Thematic Mapper (Tm) Bands For Forest Cover Classification In East Texas, Jason Grogan, I-Kuai Hung, James Kroll
Faculty Publications
Land cover maps have been produced using satellite imagery to monitor forest resources since the launch of Landsat 1. Research has shown that stacking leaf-on and leaf-off imagery (combining two separate images into one image for processing) may improve classification accuracy. It is assumed that the combination of data will aid in differentiation between forest types. In this study we explored potential benefits of using multidate imagery versus single-date imagery for operational forest cover classification as part of an annual remote sensing forest inventory system. Landsat Thematic Mapper (TM) imagery was used to classify land cover into four classes. Six …