Ryan Haynes
@RS_Haynes
Followers
88
Following
271
Media
3
Statuses
56
PhD candidate @UTAS_ | Hyperspectral Remote Sensing
Hobart, Tasmania
Joined December 2021
My first, first author paper is now published!! 🎉🗞️ We used proximal spectroscopy to predict key water stress indicators, including leaf water potential, for two native Australian tree species 🌳💧🔦 Huge thanks to my co-authors and everyone involved! 🔗 https://t.co/89H1ypKgpL
2
20
76
PhD paper is out🤠We advance methods for mapping fractional vegetation cover using a CNN-based U-net on cm-scale UAS RGB & multispec imagery, capturing patterns in sparse, complex vegetation & enabling detailed, scalable mapping in semi-arid ecosystems(1/8) https://t.co/c8HA1RI4u8
link.springer.com
Landscape Ecology - Monitoring fractional vegetation cover (FVC) is crucial for assessing ecosystem health and sustainably managing semi-arid rangelands. Field-based methods are resource-intensive,...
8
5
14
@TerraLuma @EC_lambda If you are interested in applying this method to your data - I have uploaded a snippet of example code to accompany this paper 👇 https://t.co/i7q5fe2xfU
github.com
Example code for co-registration using optical flow method eFOLKI - RS-Haynes/efolki_coreg
0
0
3
Few months ago but... New paper out! ⚠️🗞️ Here we used an optical flow algorithm to co-register drone-based hyperspectral imagery and RGB imagery to high accuracy 🚁📈 Big thanks to co-authors @TerraLuma @EC_lambda & Darren Turner https://t.co/CpEMIKmI82
mdpi.com
Remote sensing from unoccupied aerial systems (UASs) has witnessed exponential growth. The increasing use of imaging spectroscopy sensors and RGB cameras on UAS platforms demands accurate, cross-co...
2
3
9
In #Antarctica, a daily radio check or “sked” is more than a safety protocol. It’s a lifeline, a laugh, a voice from the world beyond the ice❄️📻❤️ Short featured research supported by @AntarcticSciAus @AntarcticaNZ @IMASUTAS @niwa_nz @AntaPlatform
1
3
8
I just published Drone Ecosystem Mapping: What I Wish I Knew Before Starting 🚁
link.medium.com
Ten years of using uncrewed aerial vehicles (UAVs or ‘drones’) for different mapping projects — scientific, educational, and commercial —…
0
1
3
New paper in @PlantPhys All together now: A mixed-planting experiment reveals adaptive drought tolerance in seedlings of 10 Eucalyptus species. @CoEPlantSuccess, Chris Blackman, Ben Halliwell https://t.co/vDpTFfkLEG
0
8
35
New paper out using @TERN_Aus AU-Tum forest flux site to interpret bushfire recovery using satellites🔥🌳📡 Spectral recovery outpaced productivity (GPP). So distinct relationships are needed pre- and post-fire (especially SIF), impacting GPP recovery mapping efforts. Paper 👇
1
6
11
🛰️ TERN is leading the way in improving space-borne ecosystem monitoring with its dedicated #drone remote sensing #researchinfrastructure platform. Check out our video to find out how! Supported by #NCRIS & the South Australian Government Department of State Development.
0
6
4
Excited to share our publication on the Seasonal and ocean basin-scale assessment of amino acid δ15N trends in a Southern Ocean marine predator 🦭 ! Check out the details here : https://t.co/poOojqJa17
#SouthernOcean🇦🇶 #MarinePredators
1
9
19
A beast of a drone! 🚁 Keen to incorporate our sensors and deploy it in the field 🌳📈
Medium category #drone training with the @DJIGlobal FlyCart30. With a 30 kg payload capacity and 20+ min flight duration we plan to use this airframe with hyperspectral and lidar sensors for ecosystem assessment. This training is part of our certification process. @UTAS_
1
1
11
Very high level analysis-ready data from @TERN_Aus and all the team involved for ecosystem science #uas #DeepLearning Looking forward to keep contributing to advance insights into cal/val 🛰️ through #drone ultra high remote sensing imagery 🌏 #aeo24
Good turnout at @lauransotomayor's presentation at @earthobsforum in Adelaide. She presented her results on convolutional neural networks applied to multispectral drone data for ecosystem assessment as part of @TERN_Aus. Nice work Laura!
0
3
8
Proud of the team for their outstanding presentations at #AEO24 @earthobsforum in Adelaide. Great work @RS_Haynes @JCMontesHerrera and Alice Robbins!
3
5
12
I am looking for a new PhD student to work on an exciting remote sensing project using airborne hyperspectral imagery and machine learning/AI to find ancient trees in the rugged and remote Tasmanian landscape. More information here: https://t.co/oWHgrqrQZo
8
138
311
📢New paper online! We show the potential of using hyperspectral field data in monitoring plant functional types in northern peatlands https://t.co/U0x807MWnZ The dataset is openly available: https://t.co/GhwC4ADOjk
0
10
47
🌏🛰 Earlier this year, TERN joined #remotesensing and UAV specialists from Australia and the UK at Calperum Station near Renmark, SA. Check out the video by @CSIRO to see how #drones can make sure our #EarthObservation satellite data is accurate! https://t.co/uYU67BXt7r
0
4
5
For more information, the paper is now available online and open access through Plant, Cell & Environment! https://t.co/89H1ypKgpL
onlinelibrary.wiley.com
This study explored the use of proximal spectroscopy in predicting plant water stress indicators of two native Australian tree species. We derived new spectral indices that enabled very high predic...
0
1
3
We found very strong linear relationships against EWT and FMC, as well as leaf water potential. When accounting for a breakpoint using segmented regression, the predictive capacity against LWP increased! 🌳This breakpoint additionally indicates a potential link to TLP.
1
1
3
First it was the strange hue of the trees now it’s a real life nightmare. This is very hard to take, it must be shared because none of us can escape this. A catastrophe like we’ve never known is unfolding & exploding at an incredible rate. 🧵 #tasmania
477
5K
16K
Congratulations to SAEF Deputy Director Distinguished Professor Sharon Robinson (@Antarcticmoss) on being awarded an ARC Laureate Fellowship! 👏👏👏 Sharon's project is "Islands in the Ice: Interpreting the future of Antarctic ecosystems." More info: https://t.co/ZuryRkP0rj
9
12
68