[OSGeo-Jobs] Remote Sensing specialist with the Natural Capital Project at Stanford

[Ginger Kowal]

 Hi everyone,
Please spread the word about this very exciting opportunity to work with
the Natural Capital Project at Stanford University!  A summary is below;
find more info at
https://careersearch.stanford.edu/jobs/remote-sensing-specialist-3371.

Geographic Info Systems Specialist 1
The Natural Capital Project, Stanford Woods Institute for the Environment
Job Family: Information Analytics
Job Series: Geographic Information Systems
Job Code: 4767
Grade: G
Exemption: Non-exempt
The Natural Capital Project is a partnership among Stanford University’s
Woods Institute for the Environment, University of Minnesota’s Institute on
the Environment, The Nature Conservancy, and World Wildlife Fund. We
develop tools to model and map the distribution of biodiversity and the
flow of multiple ecosystem services (ES) across land- and seascapes.

We seek a creative and talented remote-sensing expert for a Geographic
Information Systems Specialist position to advance the use of
remote-sensing in our ES models. With remotely-sensed indicators of
ecosystem condition, phenology or biomass, and other ecosystem
characteristics such as soil moisture becoming available at increasingly
fine resolutions and broad extents, ES tools should be adapted to make
better use of this information. Cutting-edge approaches to derive ecosystem
structure and function from continuous variables could be mainstreamed into
ES tools, to replace or augment inputs currently represented by categorical
land-use information. This position will identify useful data sources
derived from remote-sensing, perform routine spatial data analyses and
derive new products where necessary, test these products against observed
data, create and maintain spatial databases of remote-sensing inputs to ES
models, and prepare maps and graphics using a variety of geospatial
software and graphic applications. Please note this position is fixed-term
for 18 months with a possibility of  reappointment based on programmatic
and funding needs.
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