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Person

DeAnn M Dutton

Physical Science Technician
Wyoming-Montana Water Science Center

Email: ddutton@usgs.gov
Office Phone: 406-431-4612
Fax: 406-457-5990

Location
USGS Building
3162 Bozeman Ave
Helena , MT 59601-6456
US

Supervisor: Thomas R Sando
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Digitized datasets used in channel stability study in the Colorado River headwater arroyo system of Muddy Creek, Wyoming
A before-and-after study design was used to examine effects of changes in cattle grazing practices on channel stability in Muddy Creek, an arroyo in the Colorado River headwaters. The changes in grazing practices were abrupt and focused on keeping cattle out of the riparian zone and increasing herd movement. We digitized 620 meander loop cutoff geometries within the digitized alluvial valley bottom of Muddy Creek and used the meander loop cutoff rate as a broad measure of channel stability. Poisson regression modeling of meander loop cutoff rate indicated that the change in grazing practices caused an order-of-magnitude decline in meander loop cutoff rate that was independent of other hydroclimatic and human-caused...
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The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field at 69 streamgage sites. Chase, K.J., Sando, R., Armstrong, D.W., and McCarthy, P., 2021, Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 (ver. 1.1, September 2021): U.S. Geological Survey Scientific Investigations Report 2020–5142, 49 p., https://doi.org/10.3133/sir20205142.
Categories: Data; Tags: Montana, geomorphology, water resources
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This geodatabase is to provide an example on how the Collector for ArcGIS (Classic) application can be used to collect verified field-level irrigation data that can be used to train and validate the models like the Landsat-based Irrigation Dataset (LANID) product. The 10 Montana counties included in this data release were partially mapped, digitized, and field verified for the crops grown during the 2019 and 2020 growing seasons. Attribute data were collected for selected agricultural fields including irrigation status (actively irrigated or non-irrigated), irrigation type, primary water source, crop type, multiple attributes for field remarks, verification date and team, visit status, and confidence levels of some...
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This shapefile (GIS polygon layer) is to provide an example on how the Collector for ArcGIS (Classic) application can be used to collect verified field-level irrigation data that can be used to train and validate the models like the Landsat-based Irrigation Dataset (LANID) product. The 10 Montana counties included in this data release were partially mapped, digitized, and field verified for the crops grown during the 2019 and 2020 growing seasons. Attribute data were collected for selected agricultural fields including irrigation status (actively irrigated or non-irrigated), irrigation type, primary water source, crop type, multiple attributes for field remarks, verification date and team, visit status, and confidence...
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Field-verified irrigated lands data were collected for the Remote Sensing Component of the St. Mary-Milk Rivers Consumptive Use study to aid in the identification and delineation of agricultural fields that are irrigated in 2021 and 2022 in the Milk River basin. This field verification of irrigated fields will provide data that will be used to ground truth evapotranspiration estimates obtained in the Milk River basin using remote sensing methods. This work is part of a larger project aimed at developing a historical database representing monthly actual evapotranspiration (ETa) totals in the Milk River basin from 1985-present using remote sensing. This database will lay the foundation for the establishment of a remote...
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