H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Environmental Sciences H-index 38 Citations 7,510 103 World Ranking 3589 National Ranking 1566

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Ecosystem

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 most cited work include:

  • Geographic Object-Based Image Analysis - Towards a new paradigm. (840 citations)
  • Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery (613 citations)
  • Isolating individual trees in a savanna woodland using small footprint lidar data (354 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Remote sensing (25.47%)
  • Vegetation (21.74%)
  • Ecology (17.39%)

What were the highlights of his more recent work (between 2016-2021)?

  • Vegetation (21.74%)
  • Habitat (13.66%)
  • Remote sensing (25.47%)

In recent papers he was focusing on the following fields of study:

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.

Between 2016 and 2021, his most popular works were:

  • Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks (61 citations)
  • UAVs in Support of Algal Bloom Research: A Review of Current Applications and Future Opportunities (32 citations)
  • Vegetation change during 40 years of repeated managed wildfires in the Sierra Nevada, California. (24 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Statistics
  • Ecosystem

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.

Top Publications

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)

1249 Citations

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)

949 Citations

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)

522 Citations

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)

428 Citations

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)

368 Citations

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)

333 Citations

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)

333 Citations

Interactions Among Wildland Fires in a Long-Established Sierra Nevada Natural Fire Area

Brandon M. Collins;Jay D. Miller;Andrea E. Thode;Maggi Kelly.
Ecosystems (2009)

268 Citations

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)

243 Citations

Tradeoffs between lidar pulse density and forest measurement accuracy

Marek K. Jakubowski;Qinghua Guo;Maggi Kelly.
Remote Sensing of Environment (2013)

226 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Maggi Kelly

Qinghua Guo

Qinghua Guo

Chinese Academy of Sciences

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Scott L. Stephens

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Dennis D. Baldocchi

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Hugh D. Safford

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US Forest Service

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North Carolina State University

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Francisca López-Granados

Spanish National Research Council

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Nicholas C. Coops

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Malcolm P. North

Malcolm P. North

US Forest Service

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Thomas Blaschke

University of Salzburg

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David M. Rizzo

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