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Earth, The Final Frontier...

The Global Environmental Analysis and Remote Sensing (GEARS) Laboratory, led by Dr. Jonathan A. Greenberg, focuses on addressing questions of the impacts of climate change and land use/land cover change on vegetated ecosystems using remote sensing data. Our research ranges across scales from individual plants to the globe, across many terrestrial and aquatic ecosystems, and utilizes state-of-the-art remote sensing imagery including hyperspectral, hyperspatial, multitemporal, thermal, and LiDAR data, collected from spaceborne, airborne, and terrestrial sensors.​

PLANT-CLIMATE INTERACTIONS​
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We apply remote sensing, GIS, and modeling to answer the following questions: 1) How do plants respond to their climate at multiple scales? 2) What will be the future state of vegetated ecosystems under climate change? 3) How do non-climate factors impact the distribution of plants?

Remote Sensing Science
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We generate novel techniques to extract more accurate and precise products from remote sensing data utilizing LiDAR, hyperspectral, hyperspatial, and hypertemporal datasets.

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Enabling Technologies in RS and GIS

​To improve the scale and resolution of analyses, and enable the use of more advanced and computationally costly algorithms for remote sensing and GIS analyses.
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Want to work with us?

​Get a degree at UNR!
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GEARS Lab is part of the Department of Natural Resources and Environmental Sciences at the University of Nevada, Reno.  We are always looking for folks interested in working towards a Master's or PhD Degree in our lab.  Please take a look at our graduate degrees.  

Interested in our research?

Learn more about the exciting research our lab is involved in!

Our lab works on projects from the scale of leaves to the globe.  Our research involves ecology, natural resource management, computer science, and engineering.  

LOOKING FOR DATA AND SOFTWARE?

Take a look at our published datasets and open source code!

Our lab has a commitment to Open Content and Open Source standards for our data and code.