Western Geographic Science Center

Multimedia

Filter Total Items: 77
A graphic depicting an image classification
June 17, 2020

A UAS Image Used in Data Classification

Example map showing UAS image (A) and resulting image classification (B). 

A conceptual model of ecosystem services for the wetland habitats of Nisqually River Delta.
June 17, 2020

A Conceptual Model of Ecosystem Services of Nisqually River Delta.

A conceptual model of ecosystem services for the wetland habitats of Nisqually River Delta. Exogenous factors influence the quality and quantity of wetland habitat. This, in turn, controls the many functions that occur within wetlands. Ecosystem services, or benefits to people, are derived from the ability of wetlands to perform critical ecological functions.

 

Aerial map of modeling area in the Nisqually River Delta
June 15, 2020

Aerial Map of Modeling Area in the Nisqually River Delta

Aerial map of modeling area in the Nisqually River Delta. Managed freshwater marsh at the southern end of the refuge is excluded. Inset: Black point on terrain map shows the location of Billy Frank Jr. Nisqually National Wildlife Refuge within Washington State (grey outline).

Graphic of wells pads in the Colorado Plateau ecoregion
June 12, 2020

Well Pads in the Colorado Plateau

Density of oil and gas well pads per km2 in the Colorado Plateau ecoregion (including parts of Utah, Colorado and New Mexico) as counted in 2016. Oil/gas wells are particularly concentrated in this region with ~100,000 abandoned and current wells spanning 60 years of activity. These numbers are dramatically increasing with time.

Two photos of an active well pad and an abandoned well pad
June 12, 2020

Active and Reclaimed Well Pads

An active oil and gas well pad and an abandoned pad being reclaimed (top left inset).

A carousel photo of energy pads
June 11, 2020

Energy Pads

Engergy pads in an arid enverionment

A photo of a tidal forest of the Nisqually River Delta
June 11, 2020

Tidal Forest of the Nasqually River Delta

The tidal forests of the Nisqually River Delta become inundated to just below the trunk during the highest tides of the year.

A diagram of sampling approach for remote measurement of invasives around wind turbines.
June 2, 2020

Wind Turbine Sampling Approach

Sampling approach for remote measurements of invasives around wind turbines. 

Graphic of invasives increases after wind turbine construction
June 2, 2020

Invasives Increases After Wind Turbine Construction

Invasives index values before and after turbine construction compared to surrounding control areas (top). Green indicates turbines with higher index values in the period after construction, and yellow indicates no change or lower invasive index values after construction. 5-year average Early Season Invasives index values for 1989–1993 (middle) and 2014–2018 (bottom)

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An image depiction how remote sensing is used to sense soil erosion
June 2, 2020

How Remote Sensing Was Used To Detect Soil Erosion

Information from satellite imagery helped to differentiate areas vulnerable to soil erosion from off-highway vehicle use. For this study we developed a “P-factor” by scaling ground measurements of soil compaction to vehicle disturbances mapped from aerial imagery. We also used NDVI to better represent the spatial complexity of vegetation cover, which helps to reduce soil

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A graph depicting how an area changes through time with a well pad
May 29, 2020

How an area changes through time with a well pad

Graph showing A) Landsat time series of the Soil-Adjusted Total Vegetation Index (SATVI) from 1984-2011. Phases include pre-drilling from 1984-2002, active from 2002-2006, and post-abandonment 2006-2011, B) Bfast model of trends used to estimate breaks in the time series, and C) orhtophotos showing the site during different points in time and where those dates fall on the

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A graphic showing well pads in the Colorado Plateau
May 29, 2020

Well pads in the Colorado Plateau

Location map of the Colorado Plateau ecoregion; ecoregion detail (A) with individual well sites identified by a black dot; Google Earth Pro aerial photography showing the footprint of oil and gas development at the landscape scale as small light colored patches (B); Google Earth Pro close-up of well pads and roads (C).