2016 - Fellow of American Geophysical Union (AGU)
Dar A. Roberts mainly investigates Remote sensing, Vegetation, Endmember, Hyperspectral imaging and Land cover. His Remote sensing study incorporates themes from Pixel and Airborne visible/infrared imaging spectrometer, Imaging spectrometer. His biological study spans a wide range of topics, including Chaparral, Canopy, Mean squared error, Mixture model and Impervious surface.
Dar A. Roberts combines subjects such as Soil water and Model selection with his study of Endmember. He interconnects Lidar, Spectral bands, Linear discriminant analysis and Sunglint in the investigation of issues within Hyperspectral imaging. Dar A. Roberts has researched Land cover in several fields, including Data collection, Decision tree learning, Amazon rainforest, Bhattacharyya distance and Field.
His primary areas of study are Remote sensing, Vegetation, Endmember, Hyperspectral imaging and Imaging spectrometer. His studies deal with areas such as Land cover, Pixel and Airborne visible/infrared imaging spectrometer as well as Remote sensing. The Land cover study which covers Forestry that intersects with Amazon rainforest.
His study in Vegetation is interdisciplinary in nature, drawing from both Hydrology, Water content, Canopy and Chaparral. His Hyperspectral imaging research incorporates elements of Lidar and Meteorology. His Imaging spectrometer research includes themes of Snow and Radiance.
Dar A. Roberts mainly focuses on Remote sensing, Hyperspectral imaging, Vegetation, Hydrology and Endmember. His Remote sensing research focuses on Imaging spectrometer and how it connects with Atmospheric sciences. His Hyperspectral imaging study deals with Lidar intersecting with Scale and Canopy.
His Vegetation research incorporates themes from Agriculture, Climate change, Satellite imagery and Forest ecology. In his study, which falls under the umbrella issue of Endmember, Normalized Difference Vegetation Index is strongly linked to Physical geography. His Multispectral image course of study focuses on Pixel and Land cover.
His primary areas of investigation include Remote sensing, Hyperspectral imaging, Vegetation, Imaging spectrometer and Endmember. The concepts of his Remote sensing study are interwoven with issues in Image resolution, Pixel and Canopy. His work investigates the relationship between Hyperspectral imaging and topics such as Lidar that intersect with problems in Earth system science, Multispectral pattern recognition, Remote sensing and EnMAP.
His Vegetation study incorporates themes from Water stress, Agriculture, Forest ecology and Calibration and validation. His research integrates issues of Impervious surface and Atmospheric sciences in his study of Imaging spectrometer. As part of one scientific family, Dar A. Roberts deals mainly with the area of Endmember, narrowing it down to issues related to the Physical geography, and often Maquis shrubland, Lidar data, Principle of maximum entropy, Mediterranean climate and Slash-and-burn.
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Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models
D.A. Roberts;M. Gardner;R. Church;S. Ustin.
Edge Influence on Forest Structure and Composition in Fragmented Landscapes
Karen A. Harper;S. Ellen Macdonald;Philip J. Burton;Jiquan Chen.
Conservation Biology (2005)
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
Matthew L. Clark;Dar A. Roberts;David B. Clark.
Remote Sensing of Environment (2005)
Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data
D.A. Roberts;M.O. Smith;J.B. Adams.
Remote Sensing of Environment (1993)
Using Imaging Spectroscopy to Study Ecosystem Processes and Properties
Susan L. Ustin;Dar A. Roberts;John A. Gamon;Gregory P. Asner.
A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery
John Rogan;Janet Franklin;Dar A Roberts.
Remote Sensing of Environment (2002)
Census from Heaven: An estimate of the global human population using night-time satellite imagery
P. Sutton;D. Roberts;C. Elvidge;K. Baugh.
International Journal of Remote Sensing (2001)
Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil
Rebecca L. Powell;Dar A. Roberts;Philip E. Dennison;Laura L. Hess.
Remote Sensing of Environment (2007)
Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE
Philip E. Dennison;Dar A. Roberts.
Remote Sensing of Environment (2003)
Spectrometry for urban area remote sensing—Development and analysis of a spectral library from 350 to 2400 nm
Martin Herold;Dar A Roberts;Margaret E Gardner;Philip E Dennison.
Remote Sensing of Environment (2004)
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