christopher_post-01-optWelcome to the Clemson University Environmental Information Science Laboratory, directed by Dr. Christopher Post.  We focus on developing technologies and methods for environmental monitoring and on the analysis of the resulting data in a spatial context to help better understand and manage our world.  Our toolbox includes direct sensing (soil and water sensing), remote sensing (UAV and Satellite based), geographic information systems (GIS), and high performance computing.  Please don’t hesitate to contact us.

Dr. Post presents an update on low-cost sensor technologies to improve the spatial density of water level sensing

Dr. Post presented "Small stream hydrologic monitoring using outdoor IoT technologies: A pilot project at Clemson University" at the 2019 MOXXI workshop on Innovation in Hydrometry.  Photo credit to: Pete Marchetto....
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Dr. Post speaks about Clemson Urban Forestry UAV program at the 2017 ISA Southern Chapter

Dr. Post speaks about Clemson Urban Forestry UAV program at the 2017 ISA Southern Chapter.  His talk titled "Tree Inventory Using High-Resolution UAV (Drone) Imagery" is available...
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Dr. Post participates on 1.4 million dollar Center for Connected Multimodal Mobility Grant

Dr. Post is participating on a funded grant from the U.S. Transportation department to help revolutionize our transportation system.  More details about the new Clemson Center for Connected Multimodal Mobility led by Clemson Professor Dr. Ronnie Chowdhury can be found...
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Intelligent River Research Enterprise

Dr. Post is a principal with the Clemson University Intelligent River (R) program and directs the Clemson portion of the related NSF MRI project with Florida Atlantic University.

LiDAR data for the Clemson University campus processed by Dr. Chris Post, Clemson, SC


The laboratory is expert in processing LiDAR data to represent both landforms as well as forest structure.  Available tools can be scaled to run at local and large scales.


Complete fixed wing and rotary UAV capability allow the acquisition and processing of high-resolution aerial imagery to support a wide range of applications.