21 күн бұрын
21 күн бұрын
2 ай бұрын
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@QuintinMassey 12 күн бұрын
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.
@michaelbedward 19 күн бұрын
An excellent introduction to the concept - thank you
@Alemar5 20 күн бұрын
Basically RTX in real life :0
@dennisliebig7622 Ай бұрын
2:45 ...neon, Fluxnet
@user-hm2gb6pm6b 2 ай бұрын
Off nadir Across sweep Lidar Remote sensing Products
@HerveBOIVIN 2 ай бұрын
Bonjour, Merci pour cette vidéo ! Vous évoquez une seconde vidéo sur la mesure du sous-couvert arbustif. Est-elle disponible ? (je ne l'ai pas trouvée sur votre chaîne). Merci de votre réponse.
@bakasta4198 4 ай бұрын
Nice lecture. I also like how this gives Pam from The office vibes...
@AA-xo9uw 4 ай бұрын
First deployment of any substance actually occurred up at CPER in April of 2016 with the COMROD tower. How do you prevent the exhaust from the generator being ingested into the HVAC intake on the hut? Has Staarmann's mobile power hut/trailer/three Kohler propane generator/battery storage fiasco been abandoned?
@Yessicuhhh 4 ай бұрын
This is my DREAM job!
@NEONScience 4 ай бұрын
You can always search open positions with us at Battelle Careers: tinyurl.com/33vj3e95
@thorgamma 4 ай бұрын
Great video! Thanks. Could you please share which R package you'd recommend?
@kenyanow8274 4 ай бұрын
Quick point of clarification…The drone is either a Matrice 300 or 350. It’s not a 600 (which is a hexacopter not a quadcopter).
@Raw-Truth-Now 5 ай бұрын
The video installment in the Ecological Forecasting series serves as an illuminating exposition on the application of Bayesian statistical inference to predictive environmental modeling. It critically examines the classical presuppositions inherent in conventional statistical frameworks and delineates the methodologies for quantifying and reconciling the variances between empirical observations and model projections. By emphasizing Bayesian inference, the presentation underscores a paradigmatic shift towards embracing probabilistic approaches that accommodate the inherent uncertainties in ecological data and model structures, thus offering a more robust and nuanced understanding of future ecological states. This Bayesian perspective is particularly pivotal for advancing the accuracy of ecological forecasts, which are integral to strategic environmental planning and decision-making.
@zu_1455 5 ай бұрын
Thanks everyone! Tell J.Sanovia I said hello!
@user-un7tc8oe8m 5 ай бұрын
What a beautiful and fundamental network of individuals who care enough about how and why our world is changing as it is. And what a critical link in the chain of overall ecological and environmental preservation. Thank you for all that you've done, and all that you will continue to do!
@linuxbrad 5 ай бұрын
12:47 this is fascinating - you should start with these facts to engage the audience earlier.
@forheuristiclifeksh7836 6 ай бұрын
11:17
@forheuristiclifeksh7836 6 ай бұрын
1:22
@user-ev9ei6qz7h 6 ай бұрын
now i get it
@renatosabato 6 ай бұрын
Quick question: how come light reflects exactly in the direciont of where it came from? What if it does not?
@kcoo4115 7 ай бұрын
Well done. Thanks. Now looking for the video that explains how LiDAR is used to map forests. My interest. Also interested in when free LiDAR will be available and where to find it.
@VHS_GIS 7 ай бұрын
I loved your EMU!!! GO GO EMU!
@jeffro. 7 ай бұрын
Disappointing. Very POOR PRODUCTION QUALITY! The audio was pathetic. I understood very little of the introduction, she sounded tinny (and very tiny, for that matter). Plus it sounded like there were gaps in the audio. Fortunately the sctual speakers had much better audio.
@bubberz 8 ай бұрын
If love to know what my spectral signature looks like.
@greenTech88 8 ай бұрын
Lidar
@sean5996 9 ай бұрын
😄 Promo`SM
@s1ight 9 ай бұрын
Some errors, no clock can measure the time it takes light to travel such a short distance. Each pulse has a unique 'signature' and the sensor tracks when it leaves and when it returns, then calculates the distance afterwards.
@DeniceCarlaGordon-kd1kg 9 ай бұрын
Absolutely Stunning place 👍💯
@ahmednewashy1944 10 ай бұрын
Ben.
@bonappetitharry 11 ай бұрын
Bonjour, Merci pour votre vidéo, tout est très clair. Il y a un point que je ne comprends pas très bien, par rapport à la réception de l'onde. L'onde envoyée au sol arrive avec un certain degré par rapport au sol. Donc l'onde réfléchi devrait rebondir symétriquement. Je ne comprends pas comment le LiDAR peut récupérer l'onde réfléchie, alors qu'à cette distance, et avec cet angle d'inclinaison, l'onde réfléchie ne devrait pas atteindre le LiDAR. J'espère que ma question est suffisamment claire. rayon laser / \ / \ / \ / \ / \ / \ / \ / \ / X <- Surface du sol
@NEONScience 10 ай бұрын
Il s’agit d’une excellente question. Effectivement, le laser suit la loi de la réflexion qui indique que l'angle d'incidence est identique à l'angle de réflexion. Cependant, lorsqu’une impulsion laser est réfléchie sur le sol, le principe de la diffusion s’applique à l’onde, ce qui explique que le lidar mesure une énergie de retour. L’image est pièce jointe illustre bien le principe de diffusion du laser ainsi que la loi de la réflexion. Grâce à sa capacité à émettre des centaines à des millions d’impulsion laser en une seconde, le lidar reçoit l’énergie de retour. Lors de la planification du vol, l’opérateur assure un chevauchement longitudinal et latéral conséquent pour garantir que les secteurs les plus éloignées du nadir (90 degrés) soient survolés deux fois. De plus, la densité des points par mètre carré (par exemple, 2pts/m2 en foresterie) est généralement augmentée, anticipant ainsi la perte de données liée à la loi de la réflexion et du principe de diffusion. Durant un vol d’acquisition lidar, plutôt que de maintenir une altitude constante, le pilote s'efforce de suivre la topographie du terrain, cherchant à rester perpendiculaire au sol (au nadir), ce qui permet une plus grande réception des ondes émises.
@EricPham-ui6bt 11 ай бұрын
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
@EricPham-ui6bt 11 ай бұрын
Is landscape is the influence of echo sound and light from time opposite domain of earth?
@EricPham-ui6bt 11 ай бұрын
Thanks for the presentation
@EricPham-ui6bt 11 ай бұрын
Can material created from high refreshing rate 3 dimension projector at billion frame per second? Like vegetable or sugar salt?
@Alex-pp4wj 11 ай бұрын
I have a question - how does it always return emitted laser pulse back to the plane? - How can we guarantee the needed angle? What if the surface just reflects it to another direction?
@ehsankiani542 Жыл бұрын
Awesome !Thanks
@falaknaz3019 Жыл бұрын
Amazing, informative video👏
@jihnbrumfield4976 Жыл бұрын
Calmmm down......
@jihnbrumfield4976 Жыл бұрын
I know your pissed
@jihnbrumfield4976 Жыл бұрын
That was fun devolpment
@rednose1966 Жыл бұрын
I am very interested in this field.
@gurusiddanagoudap Жыл бұрын
QQ Ala Q
@ericphantri96734 Жыл бұрын
If the light is well calibrated then use the pixel per inch then calculate it's rate of light expansion is how we get correct high and color change or intensity change is revealing it's property of materials and instead of single sweeping laser we should use line scanning or ring line better
@zu_1455 Жыл бұрын
Following along in work sessions like this are super helpful for my style of learning
@godmeherbaba5607 Жыл бұрын
💘💘💕💕💖💖
@godmeherbaba5607 Жыл бұрын
💖💖💕💕💘💘
@mdjahin99 Жыл бұрын
Very good explanation!
@briansalkas349 Жыл бұрын
Amazing! Thank you so much. All this seemed so nebulous but your videos make it understandable.
@samuelsumbo7693 Жыл бұрын
thanks for sharing.
@samuelsumbo7693 Жыл бұрын
what is MCMC ? would that be Monte Carlo and Markov chain
@krishnabhogaonker3368 8 ай бұрын
Yes. MCMC = Markov Chain Monte Carlo sampling. That is, using a simulated markov chain to sample from a distribution.
@zu_1455 Жыл бұрын
This needs at least 800k more views