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jollygoodjacob/README.md
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Jacob Nesslage

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I am a Ph.D Candidate in the Environmental Systems Graduate Group at the University of California, Merced (UC Merced). I am a member of the Earth Observation and Remote Sensing (EORS) Lab at UC Merced (PI: Dr. Erin Hestir).

My background is in environmental engineering, community and ecosystem ecology, and remote sensing.

In my dissertation research, I utilize remote sensing data from satellites, drones, and aircraft, as well as in-situ surveys of plants and macroinvertebrates, and collections of environmental DNA from soils, sediments, and water to assess, monitor, and model biodiversity. I am also very interested in how hydrology and geomorphology converge to shape biodiversity and ecosystem services across watersheds. Given the intrinsic link between life and water, much of my research focuses on the unique ecosystems where biodiversity and water converge, such as floodplains, rivers, and ephemeral wetlands.

A separate area of research I have began to work on is spatiotemporal data fusion, particularly as it relates to satellite and UAV data. In this research, I am interested in developing synthetic fine-resolution imagery for applications in precision agriculture and other areas where high spatial and temporal resolution is needed in remote sensing applications.

I am an advocate for the use of open-source geospatial code, tools, and data. I am most comfortable coding in R or Python, although I occasionally use Javascript and Bash for specific geospatial applications.


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  1. OpenRES OpenRES Public

    OpenRES: A QGIS plugin for automated extraction of hydrogeomorphic features to support functional process zone classification of river networks

    Python 1

  2. NASA-Space-Apps-Workshop-2024 NASA-Space-Apps-Workshop-2024 Public

    Scripts and tutorials for NASA SpaceApps Challenge 2024 workshops at UC Merced

    Jupyter Notebook 1 2

  3. GDM_workshop GDM_workshop Public

    Generalized Dissimilarity Modeling workshop slides, scripts, and readings from a workshop I led in Summer 2023 at UC Merced

    R

  4. GEE-GOES-cloud-cover GEE-GOES-cloud-cover Public

    Small project on deriving fog percentages by month from GOES-16 satellite data in Google Earth Engine using JavaScript

    JavaScript 1