What is he best known for?
The fields of study he is best known for:
- Ecology
- Artificial intelligence
- Remote sensing
Albert Rango spends much of his time researching Remote sensing, Snow, Snowmelt, Surface runoff and Hydrology.
His Remote sensing research includes elements of Rangeland and Vegetation.
His Snow study results in a more complete grasp of Meteorology.
His Snowmelt research is multidisciplinary, incorporating perspectives in Energy balance, Mode and Water resources.
The Surface runoff study combines topics in areas such as Elevation, Streamflow, Shortwave and Outflow.
His Hydrology research is multidisciplinary, relying on both Meltwater, Structural basin and Precipitation.
His most cited work include:
- Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico (428 citations)
- Remote sensing in hydrology (420 citations)
- Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery (233 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Remote sensing, Snow, Hydrology, Snowmelt and Surface runoff.
His Remote sensing research is multidisciplinary, relying on both Bidirectional reflectance distribution function, Rangeland, Emissivity and Vegetation.
His Rangeland research focuses on Arid and how it relates to Shrub.
His Snow research incorporates themes from Atmospheric sciences, Precipitation and Brightness temperature.
His research investigates the connection between Snowmelt and topics such as Climate change that intersect with issues in Agriculture.
His Surface runoff study incorporates themes from Meltwater, Structural basin and Elevation.
He most often published in these fields:
- Remote sensing (45.06%)
- Snow (35.97%)
- Hydrology (29.64%)
What were the highlights of his more recent work (between 2010-2020)?
- Climate change (10.28%)
- Rangeland (10.28%)
- Remote sensing (45.06%)
In recent papers he was focusing on the following fields of study:
Albert Rango mainly focuses on Climate change, Rangeland, Remote sensing, Hydrology and Snowmelt.
His Rangeland study combines topics in areas such as Overgrazing, Grazing, Livestock and Resource.
Albert Rango works in the field of Remote sensing, namely Remote sensing.
Particularly relevant to Surface runoff is his body of work in Hydrology.
His Snowmelt study is concerned with the larger field of Snow.
His study in Snow is interdisciplinary in nature, drawing from both Regression analysis, Surface air temperature, Atmospheric sciences and Brightness temperature.
Between 2010 and 2020, his most popular works were:
- Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments (227 citations)
- Image Processing and Classification Procedures for Analysis of Sub-decimeter Imagery Acquired with an Unmanned Aircraft over Arid Rangelands (98 citations)
- A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery (98 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Artificial intelligence
- Statistics
His primary areas of study are Remote sensing, Vegetation, Ecology, Climate change and Vegetation classification.
As part of the same scientific family, he usually focuses on Remote sensing, concentrating on Artificial intelligence and intersecting with Computer vision and Data mining.
His Vegetation research is multidisciplinary, incorporating perspectives in Remote sensing and Feature selection.
His studies deal with areas such as Multispectral pattern recognition, Multispectral image, Reflectivity and Digital camera as well as Remote sensing.
He works mostly in the field of Climate change, limiting it down to topics relating to Arid and, in certain cases, Snow, Streamflow, Snowmelt, Water resources and Water year, as a part of the same area of interest.
His Vegetation classification study combines topics from a wide range of disciplines, such as Sampling, Segmentation, Classification rule and Satellite imagery.
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