Perfil personal
Research interests
Dr. Daniel R. Unger’s teaching and research interests include the quantification, qualification, mapping, monitoring and management of natural resources via the spatial analysis fields of aerial photo interpretation, digital image processing, geographic information system and global positioning system technology. He holds a PhD in remote sensing and geographic information systems from the University of Idaho and a Master of Science in forest biometrics from The Pennsylvania State University. Dr. Unger is a recipient of the Kenneth G. Waterston Teaching Excellence Award from the Arthur Temple College of Forestry and Agriculture. Furthermore, he received the Carl Schenck Award from the Society of American Foresters, the most prestigious teaching award from that organization.
Documentos relacionados
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Comparing Remote Sensing Methodologies to Evaluate the Impact of Building Demolition using Drone Imagery
Unger, D., Williams, V., Ironsmith, E., Kulhavy, D., Hung, I. K. & Zhang, Y., 2025, En: International Journal of Geospatial and Environmental Research. 12, 1Producción científica: Article › revisión exhaustiva
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Accuracy Assessment of Measuring Linear and Areal Features in Aerial Imagery
Hung, I. K., Kulhavy, D. L., Unger, D. R., Viegut, R. A. & Zhang, Y., 2023, En: International Journal of Geospatial and Environmental Research. 10, 1Producción científica: Article › revisión exhaustiva
Acceso abierto -
Assessing the Impacts of Climate Change on the At-Risk Species Anaxyrus microscaphus (The Arizona Toad): A Local and Range-Wide Habitat Suitability Analysis
Driver, S. M., Eversole, C. B., Unger, D. R., Kulhavy, D. L., Schalk, C. M. & Hung, I. K., dic 2023, En: Ecologies. 4, 4, p. 762-778 17 p.Producción científica: Article › revisión exhaustiva
Acceso abierto -
Comparing Drone2Map versus Pix4Dmapper when Creating Orthophoto Mosaics over Homogeneous Land Features
Williams, V., Unger, D. R., Kulhavy, D., Hung, I. K. & Zhang, Y., 2023, En: International Journal of Geospatial and Environmental Research. 10, 1, 2.Producción científica: Article › revisión exhaustiva
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Erratum: Comparison of AR.Drone quadricopter video and the visual CTLA method for urban tree hazard rating (Journal of Forestry DOI: 10.5849/jof.15-005)
Kulhavy, D. L., Unger, D. R., Hung, I. K. & Zhang, Y., ene 1 2021, En: Journal of Forestry. 119, 1, p. 109 1 p.Producción científica: Comment/debate › revisión exhaustiva