00:00:05:04 - 00:00:54:11 Speaker 1 Okay. So you can see a slide showing them this way if they're meant to be at them. So, so in originally the previous slide version this morning, I passed around people that had been attending the website. And so for people that had been attending the software breakdowns and getting feedback and some feedback from Bill and I had I wouldn't give them a sense of so I you know, perforated some of that and then we had the same questions. 00:00:54:13 - 00:01:17:16 Speaker 1 And these would be, you know, I don't I don't think I've been given a limited amount of time. I think it's, you know, it's more the case for people wanting to deliver what we've in the of very that's what's in. 00:01:18:21 - 00:01:20:06 Speaker 2 The back of your mind but. 00:01:20:15 - 00:01:54:00 Speaker 1 From my. Okay so I got to be pretty close I and I'm so I guess the question is and maybe I'll take advantage of Android in here. So Andrea, what is our primary focus in regards to we want to you know, I kind of feel that the science questions. All right. And the goals. Okay. Yeah. Okay. We can we can do that. 00:01:54:00 - 00:02:31:20 Speaker 1 And really, we don't have that much. Yeah. And okay, so, you know, our charge here is to, you know, go with the science correcting skills, identify the gaps. All right. You know, measurement needs and, you know, airborne campaigns. I guess the thing that that that stands out to me is you have the science questions that can be, you know, as we as we go, I think. 00:02:32:21 - 00:02:56:20 Speaker 1 Right. You know, one of the challenges in in general is that for most of the things that we're looking, at least in solid earth, topography is often one of the data sets that are being pulled in with our data science. So that's potentially, you know, some of the single dataset that's been in answer to all of our questions. 00:02:57:08 - 00:03:53:19 Speaker 1 And but I think the inferred of these are pretty high level, you know, volcanoes go on. The first one is essentially what was on the record in the past. And a lot of what I and we're doing now, we're doing I would respond to, you know, wondering aspects of our re change on earthquakes the number of people in Cambria and Jen Lu and his group or being a what related to part B change landslides and things some of the groups Andrea and Jen are there landslides in their areas that might interest that's maybe an area that's less was public right now in the study and landscape changes. 00:03:53:19 - 00:04:57:21 Speaker 1 Well we heard I heard with I was presentation we seen single person pitch this morning and he touched on that. All right. And I know there's a lot more material on that, but that's, again, another area where there's a mindset and very stringent demands that are being I we haven't really gone into on energy mineral and so resources are pretty much I don't think any running exception Andreas group is is something that we have that we seem to mention that and then infrastructure damage that's an area where I referenced and part of change could be used to you know large scale changes quakes things that things like insar often do in terms of appearance change 00:04:58:11 - 00:05:42:14 Speaker 1 or it's part of a change that high resolution can provide actually a a direct measurement of that type of damage, whether earthquakes, hurricanes, central. And I so you know, this, you know, really shouldn't be me reading this as much as, you know, having an assessment thing, trying to find the gaps or things that are missing. So it really from the science questions if people see and any, you know, bring science questions that you feel are missing, please chime in on it. 00:05:44:10 - 00:06:24:14 Speaker 1 And then there was the was what's the next part of my instructions that wasn't which is, you know, to achieve the science based interim order be most of us are interested in bare topography and vegetation structure can even be something we want to remove. Or it may be something in the case of looking for vegetation change or need to find where folks are in terms of controlling water, getting some severe or or landslides, for example. 00:06:24:15 - 00:07:20:22 Speaker 1 That's another area or maybe, um, land surface change, erosion interactions. That's what urban vegetation might be needed data center as well. But I, you know, we're trying to get smarter even scale temporarily and spatially to characterize and forecast hazards sensor impacts. These are kind of a redirection. When I said earlier, sea level change, that's something if you're trying to do that from peak topography and there was some I mean, during the study period, there was some assessment that of how many to be down the rate uncertain, how many observations went, you know, what it was occurred and reduction in noise. 00:07:20:22 - 00:08:01:10 Speaker 1 You know how much how many years and how many some take decades, times, you know. So it was seen as something that was immensely visible but was very challenging. And then and versus has been mentioned that when it comes to if you're trying to forecast the run up from big storms or against the Central Pacific tsunami, for that matter, and having high resolution imagery and on and our views would be important for those types of storm surge. 00:08:01:10 - 00:08:40:12 Speaker 1 And then in an emerging landscape change, you know, so, you know, being able to partner is important and important for something that mineral and other research instrumentation. So and we listen to more than applications. I think for most of the applications, some of it can be in terms of resolution and a lot of it has to do with latency and temporal sampling then sort of relevance to applications. 00:08:41:08 - 00:09:17:03 Speaker 1 In the case of volcanoes, that's important and I think. All right. You know, many of these are either going to be, you know, in case of catastrophic landslides. First, it might be in after the fact. I mean, but many of them are evolving as we saw this past early summer in Palos Verdes. So whether it's a catastrophic event or any of these or something that's more sort of evolving, um, typically for applications, temporal sampling and, and both, these can be extremely important. 00:09:18:19 - 00:10:23:03 Speaker 1 Other things like vertical and motion, I think whether it's due to groundwater from things like that or also sea level rise and BLM associated the it's it's less about things like maybe latency is more about the same measurements that would be useful for just the basic science. But I guess then the question is how do you connect that to be to the end users and I think we, you know, running antibodies are much about what again they're probably all right find out in this particular sensitivity from the implications the perspective compared to science oriented and so I think the you know, the part that I think is maybe maybe more interesting for the breakout session. 00:10:23:16 - 00:10:57:23 Speaker 1 And we didn't, you know, recharge looking at it is what are the you know, what are the science gaps and what kinds of modeling or simulations or investigate are needed towards those gaps. And this is something that I think the we this is something I put together some other group did not actually have much of a chance to write feedback. 00:10:58:05 - 00:11:28:24 Speaker 1 Right. So I think this is an area where you might be a diverse set of you want some, but what what is needed going forward and now what are the challenges that we don't have in the slides here written useful is to understand what what are the current investigations that have been funded in scope from one of the simulation towards the science. 00:11:28:24 - 00:12:01:14 Speaker 1 Yet as I know as Marco the modeling mentioned, you know trying for what we're doing to start things are listed. But the investigation that I'm dealing with, I'm sitting here responding, I'm the lead right now. And, you know, I can't. Right. And the University of Arizona, along with properties around the world, is that we really take an approach. 00:12:02:12 - 00:12:38:16 Speaker 1 You know, Marco is and is doing an RC and I when I several years ago we were there five years ago first in terms of speaking of I tend to view it from a science perspective. It's the kind of thing we would use from the physics based model simulations to assess the impact from simulations on resolving model frameworks. 00:12:38:17 - 00:13:07:17 Speaker 1 So you can imagine that typically the thing we would do is we have some model. We do. I mean, based on observations you end up with, you know, some kind of maybe some kind of Bayesian approach or what not, but you have some kind of right distribution of model parameters that gives you this gives you some kind of what was the Gaussian distribution or what you retrieve. 00:13:07:17 - 00:13:56:22 Speaker 1 And it's something that fits the model. And hopefully when you have observations more than those, then you will see density functions that they would narrow. And hopefully we have a more accurate being actually narrowing down the right number as opposed to maybe being very broad and maybe not being at the wrong number. And so, you know, that's kind of why we would have some RC It's a way of assessing the impact of observations on normal outreach, which is really knowledge that struck me going into the next pyramid. 00:13:56:22 - 00:14:27:06 Speaker 1 And so, you know, that's what we're trying to do. For more with you and other with those that are going from volcanoes, you know, so we're building space from existing models. So to assess, you know, how great a resolution maybe we don't need your near maybe ten meters is fine. It's more it wasn't very big here that much about real detailed topography. 00:14:27:20 - 00:15:28:08 Speaker 1 That's something we're trying to assess. On the other hand, I think it's on Kathy, but Steve belongs to the writer of these measurements, all doing anything in. A couple of years ago, when we had time for a virtual of breakout and we were showing great example, but we didn't 35 years ago and you know and Andreas said we were getting older Ridgecrest earthquake even later but the gravity observation did very detailed mapping of all of the ground fractures and things and tell you a lot about crustal processes in response to the earthquake and also the mechanics of building it. 00:15:28:08 - 00:16:42:23 Speaker 1 Yeah, especially with these companies in rates. And so, you know, in that case, the earthquake folks may say, hey, we really need we need some near resolution. We need we want to replace it. So I think, you know, the question is, how do you how do you quantitatively assess the impacts of that? So, you know, I'm looking at Jen, you have a but let me throw this that's actually a wow so research goal we tried to find so someone I had been looking at so celebrity the earthquake rupture and by looking at existing commercial satellite data we don't have much sensor almost zero inventory data from existing just because now we have already the widest 00:16:42:24 - 00:17:17:24 Speaker 1 range of communities sent by this data. And so people look at this from right, it's a good opportunity to post to look at existing capability and so much will have to come to the surface rupture and also social processes. So and so now I have a poster from Stone where we determine their results by looking at the ones that are speaking and the analysis about it. 00:17:17:24 - 00:17:54:20 Speaker 1 And based on what we have studied so far, it seems like it requires some really high resolution, less than one meter resolution to capturing complex surface information as we speak. But with that speed and that is also seems to be because this too is so has been started by others peak levels. And so we have made some sort of critical in terms of overall screen production making. 00:17:54:20 - 00:18:29:16 Speaker 1 I think the next best time to look at is look at some other function translations like poultry and to see what kind of words we should capture so that the approval process is. Yeah, it's of maybe more than I think. 00:18:29:16 - 00:18:56:01 Speaker 2 So I wonder like later results we have been more I think something that we have to really look at is one on our resolution and accuracy we want I mean which companies because they're partners and so one company and the word people and I don't think we can achieve the same level of spatial resolution and accuracy in both programs. 00:18:56:01 - 00:19:25:11 Speaker 2 So what we've been looking at is for displacement for to the first things. So we do that research imaging and in this case you need some new imaging to measure small displacements, but we don't necessarily need super high resolution even this weekend because this was like five meters, it was partly topography. Don't you want to make her virtual context information genuinely high resolution, spatial resolution. 00:19:26:01 - 00:19:53:12 Speaker 2 So it's more a matter of why do we want to measure? I think was just about painting. I would just say, okay, let's do stereo high resolution street meeting. But, you know, she does volcanoes or environmental plumes of other applications and tell you relevant also maybe the most efficient method so I was just yeah when it comes. 00:19:59:01 - 00:20:24:22 Speaker 1 So just as a follow up, I have one question for you and Jim, which is how and this can often be the challenging part is how do you define what resolution you mean is there? What's the quantitative or are you doing that quantitative? 00:20:24:22 - 00:20:55:17 Speaker 2 So in the case of, oh, I'm bolting out virgin water like many, many studies. So harsh and earthquakes, you notice that 79 and so we get how we have a knowledge on like how much resolution we need to to get this displacement. And if you do image coordination, which is how you measure horizontal dispersion from the object images you're bringing in, you can measure up to one feeds, 1/10. 00:20:55:19 - 00:21:24:18 Speaker 2 You can go below that your pixel size that you can notice that couldn't you consideration and sort of if you want to measure in five meters of fence they were ten centimeters of displacement you need about 25 meters resolution. So it's almost a proportional linear orientation 40 vertical. It's it's almost the same because the noise in the mirror and the accuracy of your eyes to them is boundaries. 00:21:24:18 - 00:22:06:21 Speaker 2 We can also measure the same thing that is 72 vertical displacement. You have two meter resolution images. So this is just to give an approximation. But then if you want more accurate numbers, what we what we do for today is just process the existing data from different since the agency but also there ability to give a date of the last meeting like just then the same plane and different order different resolution for engines so many meters you have let's see how you see like evolution of noise since so. 00:22:07:13 - 00:22:30:03 Speaker 1 And okay all right here we go first there is all right and and presumably I imagine all this versus you know so it's depends on how big of an earthquake we need to measure. 00:22:30:23 - 00:22:32:01 Speaker 2 Against for. 00:22:34:24 - 00:22:35:04 Speaker 1 Say. 00:22:36:00 - 00:22:49:14 Speaker 2 Well I didn't say that the frequency of your signal is one of the most important part of the reason why we do image creation on false is because it's a very, very high frequency signal. Then insert I'm sure when. 00:22:49:14 - 00:22:53:07 Speaker 1 You say frequency. 00:22:53:07 - 00:23:02:09 Speaker 2 If you're looking, for example, a land subsidence, you will look at regional scale and systems. I well, if you're looking at. 00:23:02:09 - 00:23:02:21 Speaker 1 Spatial. 00:23:03:07 - 00:23:17:12 Speaker 2 Spatial frequency, if you're looking at forging, you're looking at a very short signal. So even if it's smaller, there needs to be this high resolution and also capturing. 00:23:17:12 - 00:23:53:16 Speaker 1 Let's say, something about landslides. And we we had this let's bring it in. As I read it, we didn't know about for months until some geologists when I was packing back there and came back and told me about it. And in that case, that if if we had high frequency time imagery, we could go back, see when it happened, you know, so the some of the timing of the event would be better considering the higher the frequency of the observations. 00:23:53:16 - 00:24:10:07 Speaker 1 So when we do that, the very original song somebody what mechanisms triggered that rainfall that day or was smooth no day so you can understand more about triggering mechanisms these things. 00:24:17:03 - 00:24:19:09 Speaker 2 Like with random pregnancies. 00:24:20:06 - 00:25:07:06 Speaker 1 Then in that case the more frequent the better. But days would be better. Yeah. So I want to go back to that horizontal resolution we see with some colleagues and a similar system as a single one we were using. We, we, we, we can. So the problem is for low resolution. So I look at the multiple sensors and also to see if you found the same we chemicals similar measurements and that can also by resolution also moving from from the feature really some of the parts of the is just the details on which it was contained through. 00:25:07:18 - 00:25:37:17 Speaker 1 And so the buildings are pretty remote it's true just a general comment and talk about the measurement requirements. When you look at the table and you see the aspirational requirements, I mean that those are measurements that these guys have been doing for 20 years when they airborne light hour. And so we need to be able to sort of sell the so something else about this mission is going to really improve upon that. 00:25:37:17 - 00:25:58:20 Speaker 1 And there's some really obvious answers to it that what that is, it's it's rapidly response is repeat frequency, it's that sort of thing. But these sort of resolutions, at least everyone's ability to measure everything, vegetation, get that, that problem is solved. And there are and there are obvious from their relied on hard. It takes time to mobilize it takes money to mobilize. 00:25:59:02 - 00:26:33:03 Speaker 1 And I think we need to be really cognizant that when we put the requirements and aspirational that that not like what has been done for quite some time, that it's really important that we distinguish what it is about this planning that's going to get us to something that's just a huge increase from there, including spatial and consistency to reduce gradient. 00:26:33:03 - 00:26:55:02 Speaker 2 And I think for for this thing that is increasing them, if we have higher, slightly higher resolution and the problem solvers that's going to be burning because the prevention places where no one is looking at and especially earthquakes, I think one that we'll work together on and where you're doing more, you have example the blue wall, then you have higher resolution data sets. 00:26:55:02 - 00:27:21:06 Speaker 2 So if we had there like with reference words or draw information or even virtual measurements, if there is a major thing that would make life easier in some places because we're using urban some datasets instead. But it's not the case everywhere. So that's I think that's something that is really improve living somewhere you just can't directly by for your. 00:27:21:23 - 00:28:00:15 Speaker 1 Images just maybe. But I think another great application is for example, I'm going to a project, I was there in Pasadena and the Dominican Republic to look at faults. And we can't we just can't get airborne miners down there. There's no funding mechanism for the USGS to get those data under the Dominicans. And so being able to get some sort of global survey where we can deal with tropical vegetation and we can get some fire at high enough resolution that we can, Mapplethorpe would be great. 00:28:00:15 - 00:28:47:08 Speaker 1 So that sort of international piece is really important and everyone tends to be, with some exceptions and probably some great work in the tropics tends to be sort of our first world data. You know, it's a good point on that point, should it be all the instruments that you're watching globally all the time or should make more channels to collaborate with, say, commercial companies or international agencies to expand their reach? 00:28:47:08 - 00:29:03:13 Speaker 1 I think that's the problem. Maybe it also deeper scenario we've been considering in terms of cost. 00:29:03:13 - 00:29:31:13 Speaker 2 How much we consider using or what are useful, like what you guys have done with this 3D high resolution ranging from an even considers to real mainstream high resolution is pretty consistent with what they have done. So it is complementary. 00:29:31:13 - 00:30:22:15 Speaker 1 Yeah. I mean, I think we're I think right now we're not so much trying to describe them observations kind of in summary, we want somebody to have it's a bit of product that meets our need. But you know, as we heard this morning that, you know, of course, all these things are a mix in terms of trying to, you know, eventually when it gets starts to go on, it's a little bit like the STC study against I'm going to go right now, which is, you know, considering any new problems and I'm sorry in the context of what will be the the logo of the International Space Agency, what do they have, you know, coming down 00:30:22:15 - 00:30:56:02 Speaker 1 the pipeline that we can complementary and either formally working out we've been for ownership or everything from that to design your mission to be complementary, even if they're not the same mission and and then you have to consider it access the same. So I think I think we don't know it's not our target is it, to be getting too deep in that direction. 00:30:56:02 - 00:31:32:10 Speaker 1 But I think those are the things that we're going to be considering. You, you know, and we've also had you know, and along those lines is also the question for French TV is, you know, it's it's a bit more but it doesn't have to just be a satellite mission. It could consider maybe it's kind of, you know, instruments and platform and patient that there could be oversight for an extended period of time, for example. 00:31:33:00 - 00:31:58:12 Speaker 1 Now, there may be issues that would come to mind, but I think we know from airborne experience that, you know, it's often hard to have something be a of ready to go at a moment's notice. So in some some disaster, if that's the objective because planes need either proof or need to get to this point which other locations. 00:31:59:05 - 00:32:33:24 Speaker 1 So I think often we realize that if you want global coverage you really need satellites typically. But then there's the question of how you achieved the gimbals and then be proven by some. But anyway, so I think that's that's a little beyond where we are at this point. All right. So yeah, so I think one of the themes here, though, is that, you know, we've touched on one side and then there's one thing. 00:32:35:00 - 00:33:10:22 Speaker 1 So there's this the challenge of getting more high resolution to get and very sharp changes in order to be such as fracture want common sense persons getting back that rolls and they have no keeping that resolution of the Google scan. And as you mentioned that was temporal sampling to that many of these applications need. So these these are things we all know. 00:33:10:22 - 00:33:38:12 Speaker 1 I think the you know at this stage in in what when I was doing the real you know this question here is what are the you know, what are the gaps and what are we currently doing? And maybe more some might or things that still need to be done to evaluate all of these, you know, the impacts of doing this. 00:33:38:16 - 00:34:14:07 Speaker 1 How do you do the science ways? It's part of the data that you need to keep that. So I don't know if there are other people with other ideas about it. So right now it sounds like a lot of effort is using some case studies with existing satellite data to show how well you can or cannot respond to different aspects of an event or process duration. 00:34:14:07 - 00:34:50:15 Speaker 1 So, yeah, I don't know if there's any other thoughts that people have. Oh, 10 minutes. So well, why don't we leave it at that people then we can talk more as we go. And those are the not so that can I've forgotten anything is something that needs to be added. But if we tune in, I didn't get into sea level stuff or landscape change. 00:34:52:00 - 00:35:17:03 Speaker 1 I'll see you in terms of landscape change. I understand from past I've been entering and so on and maybe it was your work and I can't remember. We went some years ago and really had showed a study that was looking at all right when we sat in Bristol seeing these images that were all the thing that was, like you said, Steve's work. 00:35:17:10 - 00:35:49:20 Speaker 1 But I know there was a lot of sensitivity. You needed meter level on the ground and treat right. Topography. Topography, yeah. You need very high resolution system. So that's that's obviously very that's again, another area of of center. All right. You know, I have a more demanding side of the same, although, you know, maybe that's something that I'm very well, I guess you could have extreme weather events or things at work by that. 00:35:49:20 - 00:35:54:16 Speaker 1 But I don't know what maybe that has less than temporal. 00:35:56:19 - 00:36:01:20 Speaker 2 Which just student. 00:36:05:11 - 00:36:33:07 Speaker 1 Just looks more personal. It's going to be just that small comment that, you know, the way we frame this is, you know, sort of like getting through some things, but there's a lot of movement designed in the community to be like asking getting hazards, how these things are related to one another. You know, after an earthquake, we're going to expect several of these things to occur after the volcanic eruption or any of them. 00:36:33:17 - 00:37:03:12 Speaker 1 For some reason, they're really, you know, tie into the hydrology thing. So maybe just if it be another heading or something, but just the interactions between these different disciplines are important to keep in mind. And I think that has a lot of bearing on the temporal frequency of observations because we're are going to start to get real nervous that there's a big earthquake somewhere in a mountainous area and there's landslides and water starts to pile up behind glass, that sort of thing. 00:37:03:12 - 00:37:07:11 Speaker 1 We will be hazards for days for sure. 00:37:07:11 - 00:37:30:09 Speaker 2 And I wanted to add slightly different direction from ground and similar on the you know, after a fault ruptures like winters there's erosion that occurs and so little erosion and there will be some light around. It's been looking at the erosion patterns after the earthquake so that you can go back in time and look at paleo earthquakes and understand how big they might have been in their name, etc.. 00:37:30:09 - 00:38:10:06 Speaker 2 So there's interactions in two ways. Oh, how is your feature destroyed over time? And then how does one event cause them? So very interesting. Well, he's typing anymore. Let's. Oh, I'm sorry. So there's there's another Yes. Building that's one the second is how does erosion modify the landscape after an event? So if you can go ahead. 00:38:10:20 - 00:38:28:21 Speaker 1 And the flip as to where you look at random, we look at landforms that exist currently and from that you can get a sense for the age of the event that created them. So we went backwards as well and that's where you need a lot of resolution entering into a diffusion analysis or some sort of spectral or wavelet analysis. 00:38:28:21 - 00:38:58:14 Speaker 1 Understanding with form and some level of detail can be really important in this would be crosscutting for other disciplines as well. So I just want to mention something really based on what Andreas said, humans and paleo earthquakes and I think getting to the capability of looking at deep time processes and that we went to the evolution of the landforms now might be quite valuable. 00:38:58:14 - 00:39:13:01 Speaker 1 And in the tropics that it's something can be quite difficult because that vegetation cover sort of getting to that level of fidelity and you believe do that and then you. 00:39:17:20 - 00:39:25:01 Speaker 2 Banks to get all that well maybe okay well I'll show him signal once that to be sure. 00:39:31:05 - 00:40:15:03 Speaker 1 And okay so yeah so those are all I still think that the for me one thing I think it's challenging is how do we maybe examples the only way to go. Well and I know it's a perennial problem for any any event it's magnitude dependent as well. But, you know, how do we how do we put a number on or show the degradation in return with as you essentially integrate your observation? 00:40:16:08 - 00:40:42:16 Speaker 1 I don't know how, you know, it's probably hard to get in many cases, but I think ultimately when it comes to filling the science gaps or showing what the needs or any of the words. All right. It is to the extent that we can come to the table, we show how our science degrades, as is NASA's. At some point, emissions are going to come. 00:40:42:23 - 00:41:18:03 Speaker 1 We may say we've got something and can do. We need a resolution. Oh, now there's a trade policy going up. Well, really, you know, if we we were in two years, it's going to double the price. But, you know, we're within five meters and it's good enough for at some point, some community is going to have to make those interest securities and see that it was so much right. 00:41:18:03 - 00:41:51:17 Speaker 1 And good point, John. Yet in machine learning. Okay. Well, I mean, that's an excellent point. Yeah, that's an area where kind of the data science part of things can come in. And, you know, maybe to certain extent brings us from the multiple data and also the big data aspect as well. 00:41:51:17 - 00:41:52:10 Speaker 2 It's an even. 00:41:53:01 - 00:42:25:09 Speaker 1 Okay. So you know, I'll read John's comment was first comment was connecting the simulation using machine learning in particular using simulations to train models for improved detection of surface data and then John said that we are we're building great team here let's talk about you and then say, you know what, we have to do it verbally describe it. 00:42:25:21 - 00:43:11:10 Speaker 1 But I would yeah, I think that's that's incredibly important. Yeah. One, one minute. Okay. So I would say the well, we're not going to get into the one the one area I think that's often fun for people to to remind feedback on is, you know, if there were airborne observations, you know what I would want patients. So we with in some already from some kind of internal or in terms of the great influence and yeah. 00:43:13:11 - 00:43:24:21 Speaker 2 It would be for challenging weather location being an area we built an island so we meet in this area in the the the forest in Massachusetts and probably been targeted for an experiment. 00:43:26:02 - 00:43:26:12 Speaker 1 All right. 00:43:26:16 - 00:43:36:00 Speaker 2 To work on separating groups and we can not the geophysical. 00:43:36:00 - 00:44:11:24 Speaker 1 No, I understand but I don't well let's put it this way. If I was going about it and tropical if I wanted to go to the tropical rainforest as an example and I was in any coastal tropical rainforest in in Brazil or in springtime versus it's a part of the tropical volcano or remote region. I don't know why that the bare earth there is going to weather the vegetation. 00:44:11:24 - 00:44:43:11 Speaker 1 Some people wouldn't care about that. But for a tectonic person that I would be interested in, if we're kind of like, wait you for the incline fault, if there is, you know, buried. And so if somebody has the kind of topography that they're interested in for, say, the San Andreas Fault, and if, you know, had a similar system in tropical region, you might want to say, well, how how well can we do compared to it? 00:44:43:12 - 00:45:01:11 Speaker 1 No. Where some arid place makes the better San Andreas. So there's not just vegetation, there's the emergence of what I would think that having embedded tectonics, but it shouldn't be all right for you. 00:45:02:23 - 00:45:13:19 Speaker 2 So maybe that experiment should be relegated to the technology side when one evening we're looking at how to combine data. But I think it's important area we are trying to. 00:45:16:02 - 00:45:42:20 Speaker 1 When I was just thinking about the bench people because I'm kind of events person sitting on this but you know some of that those underlying processes that relate to the evolution of what kind of vegetation cover there is relate to as faulting. So it can be quite interesting perspective to look at the distribution that relative to the poles, but we've got some stuff going on for now. 00:45:42:20 - 00:46:16:18 Speaker 1 My sample, we're going to be adding up our data about these different sort of events and spectrums there. Tropics, we're doing the case summary of the big wetlands complex. I don't know how interesting the Baltic is from this, but the vegetation covers quite interesting. There are these kinds of all right, we've been told throughout one point we're reading to do with groups right. 00:46:16:18 - 00:46:23:13 Speaker 2 And logistically speaking, we are going to be audio going by. Oh, let's go take a break. 00:46:23:16 - 00:46:40:05 Speaker 1 Okay. All right. Well, people can so we'll wrap up. You know, we didn't get through the level of detail. We I think these I think these slides we've made available so people can chime in. 00:46:40:05 - 00:47:01:05 Speaker 2 Yeah. Well, in the previous meetings that were all online, we did a lot of online surveys. And so as I'm watching the Sentinel Building, we can we can get online input from people as well over time and start distilling it as a team into the experiment. So it's not your last chance of getting importance, beginning of your opportunities that we're going to do. 00:47:03:00 - 00:47:06:23 Speaker 1 Right. Sounds good. So with that and the Solar and Raygun.