2023 - Research.com Environmental Sciences in Canada Leader Award
Steven E. Franklin spends much of his time researching Remote sensing, Pixel, Land cover, Cartography and Remote sensing. Remote sensing is often connected to Vegetation in his work. The study incorporates disciplines such as Image resolution, Elevation and Image segmentation in addition to Pixel.
His Land cover research incorporates themes from Decision tree, Random forest, Artificial intelligence, Earth observation and Pattern recognition. His Decision tree study combines topics from a wide range of disciplines, such as Object, Algorithm, Statistical classification and Support vector machine. His Remote sensing research integrates issues from Ecology, Ecology, Field and Geographic information system.
Steven E. Franklin mostly deals with Remote sensing, Cartography, Land cover, Remote sensing and Forestry. Image segmentation is closely connected to Pixel in his research, which is encompassed under the umbrella topic of Remote sensing. His work in Cartography tackles topics such as Change detection which are related to areas like Time series.
Steven E. Franklin combines subjects such as Decision tree, Random forest, Earth observation and Pattern recognition with his study of Land cover. His Remote sensing research is multidisciplinary, incorporating elements of Synthetic aperture radar, Ecology and Habitat. In his research, Leaf area index is intimately related to Vegetation, which falls under the overarching field of Forestry.
His main research concerns Remote sensing, Random forest, Land cover, Time series and Lidar. Steven E. Franklin has included themes like Pixel and Linear regression in his Remote sensing study. Steven E. Franklin interconnects Mean annual increment, Forestry, Site index, Geomorphometrics and Climatic variables in the investigation of issues within Random forest.
His study in Land cover is interdisciplinary in nature, drawing from both Cartography, Leaf area index, Snow, Artificial intelligence and Pattern recognition. His work carried out in the field of Artificial intelligence brings together such families of science as Algorithm and Computer vision. The Pattern recognition study combines topics in areas such as Decision tree, Machine learning and Image resolution.
Remote sensing, Random forest, Land cover, Pattern recognition and Artificial intelligence are his primary areas of study. His biological study focuses on Multispectral image. Steven E. Franklin has included themes like Data mining, Time series, Transect, Lidar and Object based in his Random forest study.
His Land cover study combines topics in areas such as Classifier, Earth observation, Vegetation, Digital camera and Multi sensor. His biological study spans a wide range of topics, including Image resolution, Pixel and Decision tree, Machine learning. His Artificial intelligence study incorporates themes from Algorithm and Computer vision.
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.
Refugia: identifying and understanding safe havens for biodiversity under climate change
Gunnar Keppel;K. Van Niel;Grant Wardell-Johnson;C. Yates.
Global Ecology and Biogeography (2012)
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
Dennis C. Duro;Steven E. Franklin;Steven E. Franklin;Monique G. Dubé.
Remote Sensing of Environment (2012)
Remote Sensing for Sustainable Forest Management
Steven E. Franklin.
High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization
Michael A. Wulder;Ronald J. Hall;Nicholas C. Coops;Steven E. Franklin.
Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas
S. E. Franklin;M. A. Wulder.
Progress in Physical Geography (2002)
Incorporating texture into classification of forest species composition from airborne multispectral images
S. E. Franklin;R. J. Hall;L. M. Moskal;A. J. Maudie.
International Journal of Remote Sensing (2000)
OBJECT-BASED ANALYSIS OF IKONOS-2 IMAGERY FOR EXTRACTION OF FOREST INVENTORY PARAMETERS
Michael S. Chubey;Steven E. Franklin;Michael A. Wulder.
Photogrammetric Engineering and Remote Sensing (2006)
Remote sensing of ecology, biodiversity and conservation: a review from the perspective of remote sensing specialists.
Kai Wang;Steven E. Franklin;Xulin Guo;Marc Cattet.
Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage
Robert S. Skakun;Michael A. Wulder;Steven E. Franklin.
Remote Sensing of Environment (2003)
Aerial Image Texture Information in the Estimation of Northern Deciduous and Mixed Wood Forest Leaf Area Index (LAI)
Mike A. Wulder;Ellsworth F. LeDrew;Steven E. Franklin;Mike B. Lavigne.
Remote Sensing of Environment (1998)
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