Stitched visual RGB imagery (left) and NDVI (right) within Micasense Atlas web portal.  Red indicates low NDVI (~0) and dark blue represent higher NDVI.

Red Canyon Creek, Wyoming

August, 2017

In collaboration with Christa Kelleher (Syracuse University), AirCTEMPs is examining potential groundwater-surface water interactions from derived water surface elevations and riparian vegetation distributions. Stitched visual RGB imagery (left) and NDVI (right) within Micasense Atlas web portal.  Red indicates low NDVI (~0) and dark blue represent higher NDVI.

 Stitched visual RGB imagery (left) and NDVI (right) within Micasense Atlas web portal.  Red indicates low NDVI (~0) and dark blue represent higher NDVI.

East River, CO

July 2017

In collaboration with Kenneth Williams (LBL), Dana Chadwick (Stanford), Benjamin  Blonder (OSU), and Christopher Still (OSU), AirCTEMPs is examining multi- and hyper- spectral bands for vegetation classification. Stitched visual RGB imagery (left) and NDVI (right) within Micasense Atlas web portal.  Red indicates low NDVI (~0) and dark blue represent higher NDVI.

 Stitched visual RGB imagery (left) and digital elevation map (DEM, right).  The data shows sub-cm resolved DEM.

East River, CO

May 2017

In collaboration with Thanos Papanicolaou (UT Knoxville), AirCTEMPs is examining microtopography from different farm tillage practices and subsequent hydrological processes. Stitched visual RGB imagery (left) and digital elevation map (DEM, right).  The data shows sub-cm resolved DEM.

 Stitched visual imagery overlaid in Google Earth Pro (left) and thermal imagery (right).  NA values were denoted as zero.  Warm areas correspond with tree and bare ground.

Sagehen, CA

April 2017

In collaboration with Jessica Lundquist (UWash) and Adrian Harpold (UNR), AirCTEMPs is examining multi-resolution thermal imagery (point to satellite) for snow coverage in Sagehen, CA. Stitched visual imagery overlaid in Google Earth Pro (left) and thermal imagery (right).  NA values were denoted as zero.  Warm areas correspond with tree and bare ground.

 Stitched visual imagery in Agisoft Photoscan (left) and thermal imagery (right).

Devils River, Texas

February 2017

In collaboration with Todd Caldwell at UT Austin, AirCTEMPs is examining groundwater-surface water lateral and vertical mixing using thermal signatures.  sUAS thermal imagery was coupled with (non-CTEMPS) DTS strung along the thalweg riverbed. Stitched visual imagery in Agisoft Photoscan (left) and thermal imagery (right).  Thermal imagery clearly indicates warm spring inlet.

 2 cm hillshadeOrthomosaic

Roseburg

January 2017

In collaboration with Danica Roth at University of Oregon, AirCTEMPs measured topographic roughness (microtopography) on a recently burned hillslope in Roseburg. This data will be used to (1) compare different metrics for quantifying topographic roughness and (2) evaluate the impact of topographic roughness on particle travel distances during sediment transport.

 

Red-Green-Blue (left)  and Colorinfrared (right) View of Multispectral Data (10 cm)

Hyperspectral cube of data (25 cm) for the location denoted by black box on the following images

Brazillian Rainforest

October 2016

In collaboration with Ralf Bennartz and Trina Merrick at Vanderbilt University, AirCTEMPs captured hyperspectral imagery of the Brazilian Rainforest. The scientific objective was to estimate solar induced fluorescence for understanding how plant productivity relates to abundance of threatened and endangered species in the Pantanal region of Brazil. Images: red-green-blue (left) and colorinfrared (right) views of multispectral data (10 cm); hyperspectral cube (bottom) of data (25 cm) for the location denoted by black box on the top images

Shea Vineyards

August 2016 and on going

Vineyards face many challenges to productivity including those from viruses. AirCTEMPs is investigating the use of multispectral imagery to detect virus presence in vineyards before it is visible to the human eye. The goal of this research is to determine whether this approach will lead to greater expediency in identifying and isolating this threat. We have begun a series of multispectral flights in infected vineyards and will continue these throughout the growing season in 2017. Our aerial imagery will be analyzed in conjunction with ground samples of vines that are taken during the flight.

DEM

NDVI for East River, CO

Rocky Mountain Biological Laboratory Colorado/CUAHSI

August 2016

AirCTEMPs participated in a Consortia of Universities for the Advancement of Hydrologic Sciences (CUAHSI) short course focused on groundwater/surface water interactions held on the East River near Crested Butte, CO in the summer of 2016.  Flying our Storm AntiGravity and Phantom 3, we developed a high resolution digital elevation model of the 400x300m field site. Near IR imagery was flown over the entire site and clearly showed areas of high vegetation density where expect to see groundwater exchange.  In the video, you can see the high resolution Electrical Resistance Tomography lines being put in across the stream, and also the injection of the Rasazurin tracer used to document aerobic respiration.  This week long short course hosted ~25 students and was taught by faculty from the Colorado School of Mines, the University of Colorado, University of New Mexico, University of Nevada, Reno and the U.S. Geological Survey. 

 

Climate change impacts on tree growth patterns

May 2016 and ongoing

In collaboration with another NSF-funded team that is investigating climate change impacts, AirCTEMPs collected thermal and five-band imagery over tree seedling plots in Arizona and Oregon. These measurements are being analyzed in coordination with extensive ground samples of tree canopy features. This project will continue over a five-year period to investigate local and regional impacts of climate change on coniferous forests.

 UAS

Brady Hot Springs

March 2016

In collaboration with Kurt Fiegl of UW-Madison, AirCTEMPS conducted a pilot study to examine the feasibility of assessing fine-scale (cm level) elevation change between two dates 14 days apart at a geothermal site near Brady Hot Springs. The AirCTEMPS crew surveyed 700 sq meters at an 8 mm ground sampling distance using photogrammetry and 16 ground control points. Photogrammetry data was collected using a gimbal stabilized Sony A5100 camera with a 20 mm fixed focal length lens onboard a customized Tarot 650 quadcopter. All image processing of photogrammetric data was conducted using Agisoft Photoscan.   

Eg River, Mongolia

September 2015

Taiman Foundation in Mongolia supported UNR AirCTEMPs' first deployment: testing of aircraft for conducting fish surveys.  While using low-cost video imaging, fish counts of the world’s largest trout, the Taiman, were shown to be possible from sUAS on the Eg River in northern Mongolia. Using a search and rescue pattern, Taiman were identified in video imagery, and sized using on-shore reference scales.

UAV flying

 

Flying fiber

NEWAg

September 2014

In collaboration with Heather Holms from University of Nevada-Reno, and Michael Wing from Oregon State University, we set up a tower with 4 IRGASONS.  Then we proceeded to suspend a Distributed temperature sensing (DTS) fiber optic cable from a UAS to measure a detailed temperature profile in front and behind a wind turbine.  These data will help unravel existing mysteries about stable atmospheric boundary layer dynamics, and tease out the possible impact of wind turbines on the local micrometeorology.

Project website

 

 

 

Red-Green-Blue View of Multispectral Data (10 cm)