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 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.
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.
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.
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.
Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico
Andrea S. Laliberte;Albert Rango;Kris M. Havstad;Jack F. Paris.
Remote Sensing of Environment (2004)
Remote sensing in hydrology
Thomas J. Schmugge;William P. Kustas;Jerry C. Ritchie;Thomas J. Jackson.
Advances in Water Resources (2002)
Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management.
Albert Rango;Andrea Laliberte;Jeffrey E. Herrick;Craig Winters.
Journal of Applied Remote Sensing (2009)
A simple energy budget algorithm for the snowmelt runoff model.
William P. Kustas;Albert Rango;Remko Uijlenhoet.
Water Resources Research (1994)
Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery
A.S. Laliberte;A. Rango.
IEEE Transactions on Geoscience and Remote Sensing (2009)
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
Andrea S. Laliberte;Mark A. Goforth;Caitriana M. Steele;Albert Rango.
Remote Sensing (2011)
Revisiting the Degree-Day Method for Snowmelt Computations
A. Rango;J. Martinec.
Journal of The American Water Resources Association (1995)
Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV) imagery for rangeland monitoring.
Andrea S. Laliberte;Jeffrey E. Herrick;Albert Rango;Craig Winters.
Photogrammetric Engineering and Remote Sensing (2010)
The Snowmelt-Runoff Model (SRM) user's manual
J. Martinec;Albert. Rango;E. Major.
Parameter values for snowmelt runoff modelling
J. Martinec;A. Rango.
Journal of Hydrology (1986)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: