What is he best known for?
The fields of study he is best known for:
- Statistics
- Remote sensing
- Artificial intelligence
Marvin E. Bauer spends much of his time researching Remote sensing, Satellite imagery, Thematic Mapper, Remote sensing and Change detection.
The Remote sensing study combines topics in areas such as Land cover, Water quality, Impervious surface and Vegetation.
The concepts of his Satellite imagery study are interwoven with issues in Multispectral pattern recognition and Tree canopy.
His study in Thematic Mapper is interdisciplinary in nature, drawing from both Surface urban heat island, Normalized Difference Vegetation Index and Impervious surface area.
His work deals with themes such as Aerial photography and Multispectral image, which intersect with Remote sensing.
His Change detection study integrates concerns from other disciplines, such as Normalization, Feature extraction, Principal component analysis and Feature selection.
His most cited work include:
- Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery (858 citations)
- Satellite remote sensing of wetlands (780 citations)
- Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing (751 citations)
What are the main themes of his work throughout his whole career to date?
Marvin E. Bauer mainly focuses on Remote sensing, Satellite imagery, Land cover, Remote sensing and Hydrology.
His Remote sensing research integrates issues from Water quality, Impervious surface and Vegetation.
The concepts of his Satellite imagery study are interwoven with issues in Spatial analysis, Ecoregion, Multispectral pattern recognition, Ocean color and Wetland.
His Wetland research is multidisciplinary, incorporating elements of Aerial photography and Surface water.
His work deals with themes such as Cartography, Drainage basin, Watershed and Metropolitan area, Twin cities, which intersect with Land cover.
His Thematic Mapper study incorporates themes from Forest management, Forest inventory, Regression analysis and k-nearest neighbors algorithm.
He most often published in these fields:
- Remote sensing (75.32%)
- Satellite imagery (24.68%)
- Land cover (22.08%)
What were the highlights of his more recent work (between 2009-2020)?
- Remote sensing (75.32%)
- Satellite imagery (24.68%)
- Land cover (22.08%)
In recent papers he was focusing on the following fields of study:
Marvin E. Bauer mainly investigates Remote sensing, Satellite imagery, Land cover, Water quality and Colored dissolved organic matter.
The study incorporates disciplines such as Cartography and Pixel in addition to Remote sensing.
The Pixel study combines topics in areas such as Brightness, SNOTEL, Snowpack, Snowmelt and Thematic Mapper.
Marvin E. Bauer has included themes like Multispectral pattern recognition, Panchromatic film and Multispectral image in his Satellite imagery study.
His biological study spans a wide range of topics, including Drainage basin, Watershed, Wetland and Hydrology.
His Remote sensing course of study focuses on Spectral bands and Image resolution.
Between 2009 and 2020, his most popular works were:
- Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters (130 citations)
- Airborne hyperspectral remote sensing to assess spatial distribution of water quality characteristics in large rivers: the Mississippi River and its tributaries in Minnesota. (127 citations)
- Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes (88 citations)
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