A
Albert Rango
Researcher at United States Department of Agriculture
Publications - 223
Citations - 10270
Albert Rango is an academic researcher from United States Department of Agriculture. The author has contributed to research in topics: Snow & Snowmelt. The author has an hindex of 52, co-authored 223 publications receiving 9632 citations. Previous affiliations of Albert Rango include Agricultural Research Service & Goddard Space Flight Center.
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Remote sensing in hydrology
TL;DR: In this article, the state variables of land surface temperature from thermal infrared data, surface soil moisture from passive microwave data, snow cover using both visible and microwave data and estimating landscape surface roughness using lidar are considered.
Journal ArticleDOI
Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico
A. Laliberte,Albert Rango,Kris M. Havstad,Jack F. Paris,Reldon F. Beck,Rob McNeely,Amalia L. Gonzalez +6 more
TL;DR: In this paper, the authors used image segmentation and object-based classification to monitor vegetation changes over time and found that shrub cover increased from 0.9% in 1937 to 13.1% in 2003 while grass cover declined from 18.5% to 1.9%.
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Revisiting the Degree-Day Method for Snowmelt Computations
Albert Rango,Jaroslav Martinec +1 more
TL;DR: In this paper, the degree-day approach is used for calculating total snowmelt and runoff from mountain basins for periods of a week to the entire snowmalt season.
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Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery
Andrea S. Laliberte,Albert Rango +1 more
TL;DR: The results demonstrate that UAVs are viable platforms for rangeland monitoring and that the drawbacks of low-cost off-the-shelf digital cameras can be overcome by including texture measures and using object-based image analysis which is highly suitable for very high resolution imagery.
The Snowmelt-Runoff Model (SRM) user's manual
TL;DR: In this paper, a manual to provide a means by which a user may apply the snowmelt runoff model (SRM) unaided is presented, which is easily adaptable to most systems used by water resources agencies.