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Comparison between high-resolution aerial imagery and lidar data classification of canopy and grass in the NESCO neighborhood, Indianapolis, Indiana
GIS Remote Sensing LiDAR Classification Canopy
2015/1/9
Urban forestry is a very important element of urban structures that can improve the environment and life quality within the urban areas. Having an accurate classification of urban forests and grass ar...
Using high resolution satellite imagery to map aquatic macropyhtes on multiple lakes in northern Indiana
aquatic plants aquatic macropyhtes high resolution satellite imagery remote sensing Quickbird freshwater lakes Indiana Lagrange Noble
2015/1/9
Resource managers need to be able to quickly and accurately map aquatic plants in freshwater lakes and ponds for regulatory purposes, to monitor the health of native species and to monitor the spread ...