Introduction to Hyperspectral Remote Sensing: A Presentation
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- Опубліковано 13 лип 2024
- NEON staff scientist Tristan Goulden introduces the theory and use of hyperspectral remote sensing data. Hyperspectral remote sensing data are one of many data products available for free from over 80 sites across the United States from the National Ecological Observatory Network (NEON). All data products are available from the NEON Data Portal (data.neonscience.org). Learn more about NEON and NEON data products at www.neonscience.org.
This video is in a series that provides an introduction to remote sensing data/techniques and the NEON data products in particular. View the whole series: • NEON Remote Sensing: F... .
Suggested citation for this video: National Ecological Observatory Network. August 30, 2016. Introduction to Hyperspectral Remote Sensing: A Presentation [Video file]. Courtesy: Battelle. Retrieved from • Introduction to Hypers... .
7:22 just to make that statement stand on its own, as you increase your spatial resolution, you decrease your spectral resolution because you must also widen your spectral band pass to get good SNR across multiple smaller pixels.
Great job Tristan :)
Thank you very much for a nice explanation
12:47 this is fascinating - you should start with these facts to engage the audience earlier.
Fantastic video, a great help with my studies.
Glad the video gave you more insight into your studies. If you're interested in learning more, check out our full playlist of presentations and videos on remote sensing techniques: buff.ly/2gV3Rkm
In my calculation the speed of light is about 144 miles/ s but couldn't verified yet... If we use 1 mile of fiber glass wound than accurate timing of light speed and same light send through a transparent tube same length then calibration of speed of light for LIDAR or radar could be achieve for better avionics calibration
It's nice..
Is landscape is the influence of echo sound and light from time opposite domain of earth?
I am looking for a high speed machine vision system to identify if there is a hair or tiny stain on a flat paper package package of 80 mm x 200 mm Travelling at 25 meters per minute... Would a hyper-spectral imaging be a good choice?The paper goes light through it when back light is applied... You seem to be a good specialist and clear about your explanations. Could you answer my question, so that we can get a quotation from you here in Europe. But we work mostly with high speed higher than 26 meters per minute. Thank you
Andreas G. thank you for your interest in our video. Nathan Leisso, a remote sensing scientist working on the NEON project, gives this reply: "I would think that a hyperspectral imaging could work for this application. The key constraints are the spatial resolution and temporal acquisition rate required to match the scan rate. Hyperspectral systems often work in a ‘push broom’ configuration which would align nicely with this setup. However, since the paper is back lit and contrast changes should identify hairs or stains, I think this could be done cheaper with a non-hyperspectral panchromatic silicon based system." Best of luck on your project.
More dedicated solution would be really narrow bandwidth and high speed camera for nvidia jetson like embedded system.
Is the qgis plugin for reading hdf5 released yet?
Unfortunately, the QGIS plug is was not fully developed and has therefore not been released.
Would hyperstectral sensor show up an oil spill of kerosene home heating oil so that we don’t have to rely on spills being reported in order to have the areas treated.
And, is there a system that could be attached to say a DJI inspire UAV.
Thanks
Kyle
Kyle,
Dr. Tristan Goulden responds, "it is possible to detect hydro-carbons using airborne hyperspectral imaging. See for example, Horig et al. 2010. HyMap hyperspectral remote sensing to detect hydrocarbons ( www.tandfonline.com/doi/abs/10.1080/01431160120909 ; abstract is free, article is behind a paywall). Whether you can detect a home spill would depend on the quantity spilled and surrounding land surface conditions such as porosity. Several companies, including Headwall ( www.headwallphotonics.com/hyperspectral ), design hyperspectral imagers that can be deployed on drones. My understanding is that these typically cost between US$50 000 and $60 000."
NEON Science thanks for that, I’ll have a look at the links 👍🏻
@Hardy Here are some cameras on the market with Near Infra Red only ~600-900 nm DJI Sequoia, Mapir, Sentera, etc. not sure this would be wide enough spectrum for oil detection : scroll down 2/3 of the page www.dronezon.com/learn-about-drones-quadcopters/multispectral-sensor-drones-in-farming-yield-big-benefits/
Market is professional, so I don't expect prices to go much lower for these type of cameras ?
NIR700+ sensor is enough for detecting oil spills and/or any other detection on water surface. since water disperse IR wavelength and camera & machine vision algorithm can do the job.
1:22
11:17
Is that Sam Winchesters younger brother?