His scientific interests lie mostly in Remote sensing, Ecology, Geographic information system, Pixel and Lidar. His biological study spans a wide range of topics, including Segmentation, Prediction interval and Canopy. As a member of one scientific family, Maggi Kelly mostly works in the field of Ecology, focusing on Hydrology and, on occasion, Flux footprint, Methane and Biogeochemical cycle.
His study in Geographic information system is interdisciplinary in nature, drawing from both Abundance and Statistics, Logistic regression. His work carried out in the field of Pixel brings together such families of science as Image resolution, Vegetation classification, k-nearest neighbors algorithm, Object and Dais. His Lidar study integrates concerns from other disciplines, such as Linear regression, Accuracy and precision, Pulse, Scale and Crown.
His primary areas of investigation include Remote sensing, Vegetation, Ecology, Lidar and Canopy. Maggi Kelly has included themes like Normalized Difference Vegetation Index and Wetland in his Remote sensing study. His Vegetation research is multidisciplinary, incorporating perspectives in Ecosystem, Physical geography, Habitat and Scale.
His Ecology research is multidisciplinary, incorporating elements of Bay and Plot. As part of one scientific family, Maggi Kelly deals mainly with the area of Lidar, narrowing it down to issues related to the Basal area, and often Diameter at breast height. The concepts of his Canopy study are interwoven with issues in Forest restoration, Atmospheric sciences and Crown.
Maggi Kelly mainly focuses on Vegetation, Habitat, Remote sensing, Lidar and Physical geography. Vegetation is a subfield of Ecology that he studies. His work on Segmentation expands to the thematically related Remote sensing.
His work deals with themes such as Perspective, Canopy, Optical reflection and Atmospheric sciences, which intersect with Lidar. Maggi Kelly has researched Canopy in several fields, including Forest restoration and Basal area. Maggi Kelly interconnects Shrub, Range, Karst and China in the investigation of issues within Physical geography.
Maggi Kelly mostly deals with Remote sensing, Lidar, Vegetation, Canopy and Workflow. The study incorporates disciplines such as Understory, Coefficient of determination, Mean squared error, Scale and Wildfire modeling in addition to Remote sensing. Maggi Kelly integrates Lidar and Simulation modeling in his studies.
His Vegetation research is multidisciplinary, incorporating perspectives in Satellite Image Time Series, Euclidean distance, Pattern recognition and Object based. His work carried out in the field of Canopy brings together such families of science as Atmospheric sciences and Crown. His study looks at the relationship between Spatial analysis and topics such as Geospatial analysis, which overlap with Key and Natural resource.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Geographic Object-Based Image Analysis - Towards a new paradigm.
Thomas Blaschke;Geoffrey J. Hay;Maggi Kelly;Stefan Lang.
Isprs Journal of Photogrammetry and Remote Sensing (2014)
Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
Qian Yu;Peng Gong;Nick Clinton;Greg Biging.
Photogrammetric Engineering and Remote Sensing (2006)
Isolating individual trees in a savanna woodland using small footprint lidar data
Qi Chen;Dennis Baldocchi;Peng Gong;Maggi Kelly.
Photogrammetric Engineering and Remote Sensing (2006)
A New Method for Segmenting Individual Trees from the Lidar Point Cloud
Wenkai Li;Qinghua Guo;Marek K. Jakubowski;Maggi Kelly.
Photogrammetric Engineering and Remote Sensing (2012)
Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images.
José Manuel Peña;Jorge Torres-Sánchez;Ana Isabel de Castro;Maggi Kelly.
PLOS ONE (2013)
Support vector machines for predicting distribution of Sudden Oak Death in California
Qinghua Guo;Maggi Kelly;Catherine H. Graham;Catherine H. Graham.
Ecological Modelling (2005)
Classification of the wildland–urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography
Casey Cleve;Maggi Kelly;Faith R. Kearns;Max Moritz.
Computers, Environment and Urban Systems (2008)
Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area
Brandon M. Collins;Jay D. Miller;Andrea E. Thode;Maggi Kelly.
Spatial patterns of large natural fires in Sierra Nevada wilderness areas
Brandon M. Collins;Maggi Kelly;Jan W. van Wagtendonk;Scott L. Stephens.
Landscape Ecology (2007)
Tradeoffs between lidar pulse density and forest measurement accuracy
Marek K. Jakubowski;Qinghua Guo;Maggi Kelly.
Remote Sensing of Environment (2013)
Profile was last updated on December 6th, 2021.
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