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Landscape Ecology and Geospatial Analsysis

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Chris McGinty

on 14 October 2014

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Transcript of Landscape Ecology and Geospatial Analsysis

Landscape Ecology
& Geospatial Analysis

What is geospatial and how is it related to Landscape Ecology?
How is GIS used in Landscape Ecology?
A birds-eye view of a
landscape provides us
with a greater understanding
of patern and process.
Humans have long sought to
view their landscapes from above
While oblique views contain much information,
remotely sensed views provide a unique context
with regard to the landscape.
Same landscape, new context - more data
What causes these features?
1.
2.
What are a few unique features on this landscape?
Lets define:
Scale
Resolution
Pattern

Questions?
(Please ask questions or make a comment at any time!)
Oblique View
Nadir, or overhead, view
Different views,
different patterns,
different processes.
Landscape Eoclogy and GIS have evolved together and share similar terminology.

Scale of some object, treatment, or event we wish to understand

Resolution at which [something occurs] and from which we wish to draw meaningful conclusions
What is the scale (extent) of the event?
Ecoregion?
State?
County?
Pasture?
Riparian
Zone?
Timber Stand?
There are three types of resolution that are important to understnad with respect to geosatial data.
Spatial Resolution
Spectral Resolution
Temporal Resolution
Raw RS data is an average of the
reflectance, absorbtion,
and transmitted EM energy.
Sensors record this data at
different scales - or spatial resolution.
Many plants and surfaces reflect differently and so not all sensors may be applicable for monitoring.
The number and width of the spectral bands detecte by an instrument and recorded as data.
The measure of how frequently a sensor must obtain imagery of the study area to meet monitoring requirements.
Daily, weekly, monthly, yearly...
Scale and Extent yield different patterns:
Monitoring & Analysis
of Landscape Ecology using geospatial data.
Invasive plants - Cheatgrasse
Evaluating historic presence and future issues
Using MODIS satellite imagery, the RS/GIS Laboratory
has developed models that can be used to monitor
cheatgrass across the Great Basin every 16 days throught
the growing season.
MODIS data was acquired for
each 16-day period from
2000 - 2011.
Using logistic regression and
Random Forests, models were
developed to identify likely
occurrences of cheatgrass.
2000
2001
2002
2004
2006
2008
2010
2011
Evaluating Riparian Zones and the impacts of
grazing rotation.
Monitoring Lake Changes
Bioregional Planning, Urban Development, and Landscape Chage:
Virtual Utah
http://earth.gis.usu.edu/utah/
Google Earth
ArcGIS Online
http://www.arcgis.com/home/
Utah Critical Lands Mapping Tool
http://earth.gis.usu.edu/cltoolkit/
Fiscal Impacts Toolkit
http://www.planning.utah.gov/fiscalimpactshome.htm
Monitoring landcover change using RS greeness
Beetle Kill Monitoring (Oblique)
Developed by Chris McGinty (mcginty.chris@gmail.com)
Some content courtesy of Dr. R. Douglas Ramsey and the Remote Sensing/GIS Laboratory
at Utah State University
C. McGinty 2010
C. McGinty 2010
NASA
Ramsey & McGinty
R.D. Ramsey
USGS
C. McGinty 2011
W. Macfarlane 2010
Landscape Ecology
Geospatial analysis allows us to take unique viewsof our landscapes by evaluating unseen patterns and processes.
Scale (GIS): The ratio or relationship between a distance or area on a map and the corresponding distance or area on the ground.
Scale (LE): Can refer to either resolution (grain) or extent.
Keep in mind:

Large scale vs. Small scale
High Resolution vs. Low Resolution
Scale and measurement must be well understood to convey proper understanding and correct information.
Full transcript