WEBVTT 1 00:00:10.039 --> 00:00:15.460 A:middle L:90% our last speakers are are bookending keynotes 2 00:00:15.460 --> 00:00:19.329 A:middle L:90% Dr. John Scrivani, who has a masters in forestry from Clemson 3 00:00:19.329 --> 00:00:21.760 A:middle L:90% , a PhD in forest management from Oregon State, among 4 00:00:21.760 --> 00:00:23.890 A:middle L:90% other degrees, which we are not going to list 5 00:00:23.899 --> 00:00:30.030 A:middle L:90% um and is currently with Virginia Geographic Information Network. 6 00:00:30.039 --> 00:00:33.850 A:middle L:90% His current job is the geospatial project Manager for VGIN 7 00:00:34.240 --> 00:00:38.840 A:middle L:90% and his responsibilities involved managing multiple geospatial projects for state 8 00:00:38.840 --> 00:00:42.530 A:middle L:90% agencies, local government and the private sector. So 9 00:00:42.539 --> 00:00:45.509 A:middle L:90% um our second keynote for today, um we're really 10 00:00:45.520 --> 00:00:48.280 A:middle L:90% pleased to have him with us. A lot of 11 00:00:48.280 --> 00:00:50.340 A:middle L:90% us have been working with him for many, many 12 00:00:50.340 --> 00:00:54.960 A:middle L:90% years. And so what thank you randi. Um 13 00:00:55.539 --> 00:00:58.320 A:middle L:90% It took me a minute to find uh the presentation 14 00:00:58.320 --> 00:01:00.960 A:middle L:90% named Otis, which they all were on the desktop 15 00:01:00.439 --> 00:01:04.180 A:middle L:90% . So but yeah, so I'd like to move 16 00:01:04.180 --> 00:01:08.420 A:middle L:90% from the research world to uh kind of the uh 17 00:01:08.430 --> 00:01:11.900 A:middle L:90% more production world and talk to you about one of 18 00:01:11.909 --> 00:01:15.760 A:middle L:90% our projects at the Virginia Geographic Information Network, which 19 00:01:15.760 --> 00:01:19.109 A:middle L:90% is a great example of some of the things we 20 00:01:19.120 --> 00:01:22.079 A:middle L:90% do and like to do, partly because it was 21 00:01:22.079 --> 00:01:25.260 A:middle L:90% a very collaborative effort between really if you look at 22 00:01:25.260 --> 00:01:27.189 A:middle L:90% the data and serving the data to the end. 23 00:01:27.200 --> 00:01:32.180 A:middle L:90% Uh It's there's plenty of partners from federal agencies, 24 00:01:32.189 --> 00:01:36.310 A:middle L:90% second world governments, even some nonprofits uh to uh 25 00:01:36.319 --> 00:01:38.189 A:middle L:90% to universities particularly Virginia Tech, which has been really 26 00:01:38.189 --> 00:01:44.500 A:middle L:90% instrumental in getting this uh project moving. So let's 27 00:01:44.500 --> 00:01:49.129 A:middle L:90% see. So uh tell you a little bit about 28 00:01:49.129 --> 00:01:53.939 A:middle L:90% Megyn. The Virginia Geographic Information Network was established in 29 00:01:53.939 --> 00:01:57.609 A:middle L:90% Virginia Code in 1919 97. Uh uh It was 30 00:01:57.609 --> 00:02:01.900 A:middle L:90% tasked to foster the creative utilization of geographic information and 31 00:02:01.900 --> 00:02:06.219 A:middle L:90% oversee the development of a catalogue of GSS data available 32 00:02:06.230 --> 00:02:08.879 A:middle L:90% in the commonwealth. Um We have some authorities to 33 00:02:08.889 --> 00:02:14.789 A:middle L:90% to establish standards and guidelines. Uh One of our 34 00:02:14.800 --> 00:02:17.330 A:middle L:90% main objectives is to develop a base map layers, 35 00:02:17.340 --> 00:02:23.389 A:middle L:90% so some core spatial data infrastructure for all of Virginia 36 00:02:23.400 --> 00:02:25.819 A:middle L:90% , things like Ortho imagery, road center lines and 37 00:02:25.830 --> 00:02:31.840 A:middle L:90% addressing um elevation and could astral or parcel tax parcel 38 00:02:31.840 --> 00:02:36.199 A:middle L:90% or land ownership data. Uh We've also moved in 39 00:02:36.199 --> 00:02:39.159 A:middle L:90% the in the last several years to providing services, 40 00:02:39.169 --> 00:02:45.039 A:middle L:90% uh geographic information as as web services. And uh 41 00:02:45.039 --> 00:02:49.800 A:middle L:90% in the last year or so we've also uh established 42 00:02:49.800 --> 00:02:51.990 A:middle L:90% the G. I. S. Clearinghouse which I 43 00:02:51.990 --> 00:02:53.520 A:middle L:90% encourage you to go look at a lot of our 44 00:02:53.520 --> 00:02:57.360 A:middle L:90% data and other people other people's data are either registered 45 00:02:57.360 --> 00:03:00.139 A:middle L:90% , there are available for uh use either on RTs 46 00:03:00.139 --> 00:03:05.800 A:middle L:90% online or for download or connection to other uh software 47 00:03:05.800 --> 00:03:08.189 A:middle L:90% web applications. And then lastly I just mentioned a 48 00:03:08.189 --> 00:03:13.180 A:middle L:90% little bit about our garden initiative which is um is 49 00:03:13.180 --> 00:03:16.180 A:middle L:90% our initiative to collaborate with universities and Virginia tech has 50 00:03:16.180 --> 00:03:20.620 A:middle L:90% been a leader in this area to help provides some 51 00:03:20.620 --> 00:03:24.550 A:middle L:90% redundancies an extension of our services uh to uh the 52 00:03:24.560 --> 00:03:27.909 A:middle L:90% first to the university community, but also to the 53 00:03:27.909 --> 00:03:34.840 A:middle L:90% general public. So this so uh particular thing I 54 00:03:34.840 --> 00:03:37.870 A:middle L:90% want to talk about is the digital surface model that 55 00:03:37.870 --> 00:03:40.750 A:middle L:90% we're working to provide a statewide digital surface model and 56 00:03:40.750 --> 00:03:45.310 A:middle L:90% just a couple of definitions uh digital at least of 57 00:03:45.310 --> 00:03:46.689 A:middle L:90% the way I use them. A digital elevation model 58 00:03:46.699 --> 00:03:51.180 A:middle L:90% . Uh would be a a digital model of the 59 00:03:51.180 --> 00:03:54.289 A:middle L:90% ground surface topography. Uh Digital surface model is elevation 60 00:03:54.289 --> 00:03:58.710 A:middle L:90% of all features including the ground and anything on the 61 00:03:58.710 --> 00:04:01.449 A:middle L:90% ground including buildings, trees, um utilities, whatever 62 00:04:03.439 --> 00:04:06.219 A:middle L:90% . Uh This is an example of a digital surface 63 00:04:06.219 --> 00:04:10.750 A:middle L:90% model for an area you'll probably recognize. Uh So 64 00:04:10.759 --> 00:04:14.569 A:middle L:90% this was developed from um lidar data that was collected 65 00:04:14.580 --> 00:04:18.459 A:middle L:90% uh through um um through the Virginia V. Gin 66 00:04:18.470 --> 00:04:23.129 A:middle L:90% , through a contract we had with sanborn Map Company 67 00:04:23.129 --> 00:04:26.740 A:middle L:90% . And uh and the town of Blacksburg paid for 68 00:04:26.740 --> 00:04:29.680 A:middle L:90% it. We we managed a product and did the 69 00:04:29.680 --> 00:04:32.819 A:middle L:90% quality control and and produce this product or deliver this 70 00:04:32.819 --> 00:04:35.470 A:middle L:90% product to the town of Blacksburg. So uh this 71 00:04:35.470 --> 00:04:41.199 A:middle L:90% was about one metre uh nominal point spacing in the 72 00:04:41.209 --> 00:04:44.050 A:middle L:90% uh light our data collection and you can see it 73 00:04:44.060 --> 00:04:46.259 A:middle L:90% . It's got very accurate detail of the lane, 74 00:04:46.259 --> 00:04:50.689 A:middle L:90% stadium, stadium woods, you know, castle calcium 75 00:04:50.689 --> 00:04:54.930 A:middle L:90% D uh in the cars in the parking lot and 76 00:04:54.930 --> 00:05:00.699 A:middle L:90% shrubs and other things all all about. So our 77 00:05:00.709 --> 00:05:02.689 A:middle L:90% project for the digital surface model was to develop a 78 00:05:02.689 --> 00:05:06.069 A:middle L:90% digital surface model for the entire area of the commonwealth 79 00:05:06.079 --> 00:05:11.509 A:middle L:90% from the best most recent and uh obviously available data 80 00:05:11.519 --> 00:05:14.569 A:middle L:90% . And then to serve this digital surface model out 81 00:05:14.569 --> 00:05:17.170 A:middle L:90% as a publicly available elevation web service suitable for both 82 00:05:17.170 --> 00:05:21.649 A:middle L:90% visualization and analysis. And then we, one of 83 00:05:21.649 --> 00:05:26.269 A:middle L:90% the immediate objectives of our project was to have this 84 00:05:26.269 --> 00:05:27.579 A:middle L:90% D. S. M. Data served out so 85 00:05:27.579 --> 00:05:30.980 A:middle L:90% we could utilize it in a application we've recently developed 86 00:05:30.980 --> 00:05:32.120 A:middle L:90% in cooperation with C. I. T. And 87 00:05:32.120 --> 00:05:35.139 A:middle L:90% and Virginia Tech, which is the Virginia three D 88 00:05:35.139 --> 00:05:39.639 A:middle L:90% broadband viewer which is hosted here by Enterprise G. 89 00:05:39.639 --> 00:05:41.620 A:middle L:90% I. S. So we've had a lot of 90 00:05:41.620 --> 00:05:45.470 A:middle L:90% people involved in this. Uh We're VJ and obviously 91 00:05:45.470 --> 00:05:46.740 A:middle L:90% Virginia Tech, both C G I. T. 92 00:05:46.740 --> 00:05:48.490 A:middle L:90% And Enterprise G. I. S have been involved 93 00:05:48.490 --> 00:05:51.209 A:middle L:90% in this. Um And then the light our data 94 00:05:51.220 --> 00:05:55.589 A:middle L:90% that has been used in collect building this digital service 95 00:05:55.589 --> 00:05:58.370 A:middle L:90% model came from a lot of different projects funded by 96 00:05:58.370 --> 00:06:00.579 A:middle L:90% and managed by a lot of different people. A 97 00:06:00.579 --> 00:06:01.939 A:middle L:90% lot of it's from USGS and they're in their in 98 00:06:01.939 --> 00:06:05.110 A:middle L:90% their national three D. Elevation program. Uh Some 99 00:06:05.110 --> 00:06:09.879 A:middle L:90% of its from National Geospatial Intelligence Agency, fema and 100 00:06:09.879 --> 00:06:14.050 A:middle L:90% RCs have also funded a good bit uh Department of 101 00:06:14.050 --> 00:06:16.649 A:middle L:90% mines, mineral energy, some some local government collections 102 00:06:16.660 --> 00:06:20.689 A:middle L:90% . Um And then uh some of the um some 103 00:06:20.689 --> 00:06:25.230 A:middle L:90% of the broadband grant which was administered by C. 104 00:06:25.230 --> 00:06:29.000 A:middle L:90% I. T. Was used to process the uh 105 00:06:29.000 --> 00:06:30.230 A:middle L:90% oh photo imagery which I'll talk about. So where 106 00:06:30.230 --> 00:06:35.959 A:middle L:90% we have uh No I guess I'll talk about that 107 00:06:35.959 --> 00:06:39.610 A:middle L:90% now. We got that slide. So where we 108 00:06:39.610 --> 00:06:41.629 A:middle L:90% uh the best available data is the lighter where we 109 00:06:41.629 --> 00:06:43.339 A:middle L:90% have it but we only have a lighter. I'll 110 00:06:43.339 --> 00:06:45.079 A:middle L:90% have some maps here in second. We only have 111 00:06:45.079 --> 00:06:48.319 A:middle L:90% a light are available for about 25 30 20 let's 112 00:06:48.319 --> 00:06:53.290 A:middle L:90% say right now available of the area of the Commonwealth 113 00:06:53.290 --> 00:06:56.230 A:middle L:90% of Virginia. So where we don't have white are 114 00:06:56.240 --> 00:06:59.920 A:middle L:90% we went to a photograph, metric production of of 115 00:06:59.930 --> 00:07:01.970 A:middle L:90% GSM. And so we have one of our other 116 00:07:01.970 --> 00:07:08.470 A:middle L:90% programs is producing aerial Ortho imagery uh for the entire 117 00:07:08.480 --> 00:07:12.639 A:middle L:90% commonwealth. The most recent collections were 2011 for the 118 00:07:12.649 --> 00:07:15.279 A:middle L:90% western half of the state, 2013 for the eastern 119 00:07:15.279 --> 00:07:16.329 A:middle L:90% half of the state. So where we don't have 120 00:07:16.329 --> 00:07:20.800 A:middle L:90% water coverage, we used methods with the stereo imagery 121 00:07:20.800 --> 00:07:25.350 A:middle L:90% from those data collections to create a digital surface model 122 00:07:26.939 --> 00:07:30.180 A:middle L:90% . So potential applications uh we could, as I 123 00:07:30.180 --> 00:07:32.449 A:middle L:90% mentioned, the wireless broadband coverage and and our radio 124 00:07:32.449 --> 00:07:35.970 A:middle L:90% frequency propagation models can be supported more accurate with a 125 00:07:35.980 --> 00:07:39.860 A:middle L:90% digital service model than than a. D. M 126 00:07:39.870 --> 00:07:42.699 A:middle L:90% . Uh And then uh one of the things I 127 00:07:42.709 --> 00:07:43.910 A:middle L:90% . C. I. C. G. I 128 00:07:43.910 --> 00:07:45.420 A:middle L:90% . T. Is going to be working on soon 129 00:07:45.420 --> 00:07:49.420 A:middle L:90% as a site suitability for vineyards, solar radiation assessment 130 00:07:49.430 --> 00:07:56.379 A:middle L:90% and transportations, uh uh safety analysis. So here 131 00:07:56.379 --> 00:08:01.029 A:middle L:90% is the example of the uh broadband uh three D 132 00:08:01.029 --> 00:08:03.410 A:middle L:90% . Viewer uh Seth is that live for people to 133 00:08:03.410 --> 00:08:07.339 A:middle L:90% use now? Yeah. Okay. It only applies 134 00:08:07.339 --> 00:08:09.279 A:middle L:90% right now to town of Blacksburg because that's the only 135 00:08:09.279 --> 00:08:13.160 A:middle L:90% data that's available. So, uh, here's an 136 00:08:13.160 --> 00:08:16.470 A:middle L:90% example of what can be done at the surface model 137 00:08:16.470 --> 00:08:20.769 A:middle L:90% for looking at potential for solar, uh, solar 138 00:08:20.769 --> 00:08:22.589 A:middle L:90% panels, looking at the rooftops, looking at what 139 00:08:22.589 --> 00:08:26.910 A:middle L:90% solar radiation gets to those rooftops at different times of 140 00:08:26.910 --> 00:08:31.009 A:middle L:90% the years. Uh So the data sources, the 141 00:08:31.009 --> 00:08:37.460 A:middle L:90% latter data, we have The 10,000 851 sq mi 142 00:08:37.470 --> 00:08:39.250 A:middle L:90% is the green area in here. This is the 143 00:08:39.250 --> 00:08:43.840 A:middle L:90% data that has been collected from 2010, uh up 144 00:08:43.840 --> 00:08:50.960 A:middle L:90% to 2013 and delivered uh to uh the original project 145 00:08:50.970 --> 00:08:52.549 A:middle L:90% sponsors, but also to Vi Gin. And just 146 00:08:52.549 --> 00:08:54.850 A:middle L:90% in the last couple of weeks, delivered to Virginia 147 00:08:54.850 --> 00:08:58.470 A:middle L:90% Tech to Enterprise J. S. Uh, the 148 00:08:58.470 --> 00:09:01.659 A:middle L:90% two areas kind of impeached color are areas that uh 149 00:09:01.840 --> 00:09:05.570 A:middle L:90% , have been flown and should be the Virginia Beach 150 00:09:05.570 --> 00:09:09.269 A:middle L:90% Hampton Roads area hopefully will be delivered next week or 151 00:09:09.269 --> 00:09:11.970 A:middle L:90% two. And then, uh, the kind of 152 00:09:11.970 --> 00:09:16.539 A:middle L:90% that Shenandoah Valley one probably a little bit later. 153 00:09:16.549 --> 00:09:22.610 A:middle L:90% Um, we also have with weather permitting, uh 154 00:09:22.620 --> 00:09:26.480 A:middle L:90% , have these out of, out of order Or 155 00:09:26.480 --> 00:09:30.169 A:middle L:90% is that so I'd gone, sorry, way out 156 00:09:30.169 --> 00:09:33.399 A:middle L:90% of order. Um, so we have current projects 157 00:09:33.409 --> 00:09:35.929 A:middle L:90% that are being flown right. Uh, hopefully today 158 00:09:35.940 --> 00:09:41.220 A:middle L:90% we had, I had a report, uh, 159 00:09:41.230 --> 00:09:43.610 A:middle L:90% yesterday's report of the day before slight. We had 160 00:09:43.610 --> 00:09:48.330 A:middle L:90% about 40 of this area flown. So another 60 161 00:09:48.330 --> 00:09:54.529 A:middle L:90% 475 sq mi. So Just to kind of summarize 162 00:09:54.529 --> 00:09:58.940 A:middle L:90% some of the latter projects that we've had since 2010 163 00:09:58.940 --> 00:10:01.710 A:middle L:90% and the cost of those, uh, we, 164 00:10:01.720 --> 00:10:05.059 A:middle L:90% we, we got up to about, uh, 165 00:10:05.539 --> 00:10:07.450 A:middle L:90% if we get through the 2013 and 14 flights, 166 00:10:07.450 --> 00:10:13.129 A:middle L:90% which are 2013 data that's being delivered in 2014 flights 167 00:10:13.129 --> 00:10:15.090 A:middle L:90% that are being flown right now, we'll get up 168 00:10:15.090 --> 00:10:18.669 A:middle L:90% to about 18,261 square miles. Um and which would 169 00:10:18.669 --> 00:10:22.659 A:middle L:90% be a little less. About 43% of the area 170 00:10:22.659 --> 00:10:24.870 A:middle L:90% of Virginia. And uh costs have been, You 171 00:10:24.870 --> 00:10:28.230 A:middle L:90% know, roughly not sure exactly on some of the 172 00:10:28.230 --> 00:10:31.059 A:middle L:90% 2014 cost yet, but roughly$6 million. So 173 00:10:31.070 --> 00:10:39.210 A:middle L:90% another six or$7 million it's roughly$300$350 per 174 00:10:39.210 --> 00:10:46.690 A:middle L:90% square mile. So what are is once you have 175 00:10:46.690 --> 00:10:48.940 A:middle L:90% the water data collected, it's very easy to get 176 00:10:48.940 --> 00:10:52.159 A:middle L:90% the digital surface model. Uh There is some classification 177 00:10:52.159 --> 00:10:56.440 A:middle L:90% that is necessary to eliminate noise and other anomalies in 178 00:10:56.440 --> 00:10:58.450 A:middle L:90% the data. But once you have that, all 179 00:10:58.450 --> 00:11:01.759 A:middle L:90% you really needed to do is take the first returns 180 00:11:03.039 --> 00:11:05.269 A:middle L:90% the first thing that white our pulse hits and uh 181 00:11:05.279 --> 00:11:09.250 A:middle L:90% that can be uh used as your digital surface model 182 00:11:09.250 --> 00:11:11.389 A:middle L:90% . There's several ways of analyzing that data or explain 183 00:11:11.389 --> 00:11:13.759 A:middle L:90% that data. Uh In our Js you can vote 184 00:11:13.759 --> 00:11:16.549 A:middle L:90% in terrain datasets or you can rest your eyes it 185 00:11:16.559 --> 00:11:20.750 A:middle L:90% into a digital elevation model or a digital surface model 186 00:11:20.759 --> 00:11:22.169 A:middle L:90% . Um But you can also use the point the 187 00:11:22.179 --> 00:11:28.779 A:middle L:90% point cloud uh files directly with things called last datasets 188 00:11:28.779 --> 00:11:30.309 A:middle L:90% and our G. I. S. Or mosaic 189 00:11:30.309 --> 00:11:33.519 A:middle L:90% datasets of the last files themselves. Excuse me. 190 00:11:33.519 --> 00:11:37.830 A:middle L:90% The last files are the public domain source uh file 191 00:11:37.830 --> 00:11:39.789 A:middle L:90% format for storing point clouds. Or you can have 192 00:11:39.789 --> 00:11:46.000 A:middle L:90% mosaic datasets of last datasets. So uh where we 193 00:11:46.000 --> 00:11:50.929 A:middle L:90% don't have uh white are uh we fill in with 194 00:11:50.940 --> 00:11:56.389 A:middle L:90% the digital service model derived from stereo photography. So 195 00:11:56.389 --> 00:12:00.049 A:middle L:90% we looked at a couple software options of doing that 196 00:12:00.440 --> 00:12:05.850 A:middle L:90% . Um The methods both both methods uh and use 197 00:12:05.860 --> 00:12:09.049 A:middle L:90% auto correlation where you take the stereo pairs. And 198 00:12:09.059 --> 00:12:11.240 A:middle L:90% there's auto automated methods for locating features and two or 199 00:12:11.240 --> 00:12:16.149 A:middle L:90% more stereo pairs and computing their elevations. Um Several 200 00:12:16.149 --> 00:12:18.909 A:middle L:90% commercial algorithms are available. We tested to some actives 201 00:12:18.909 --> 00:12:22.330 A:middle L:90% three D. Correlate er an intergraph semi global matching 202 00:12:22.340 --> 00:12:26.620 A:middle L:90% program. And we did that. Here's the light 203 00:12:26.620 --> 00:12:31.320 A:middle L:90% . Our GSM rast arised for the same area we 204 00:12:31.320 --> 00:12:35.289 A:middle L:90% had in previous slide and here is the semi global 205 00:12:35.289 --> 00:12:37.549 A:middle L:90% matching. It's a little bit little bit fuzzier. 206 00:12:37.549 --> 00:12:41.720 A:middle L:90% We did it we did it with three ft spacing 207 00:12:41.720 --> 00:12:46.159 A:middle L:90% for the uh the output points. Uh but it 208 00:12:46.159 --> 00:12:50.850 A:middle L:90% looks pretty good. Uh The uh initial uh try 209 00:12:50.850 --> 00:12:54.620 A:middle L:90% with some active was not quite as good. Um 210 00:12:54.629 --> 00:12:58.129 A:middle L:90% What we had some issues with cassell coliseum, that 211 00:12:58.129 --> 00:13:01.419 A:middle L:90% kind of arch curved arch ruth. Uh They went 212 00:13:01.419 --> 00:13:03.940 A:middle L:90% through back through and found some ways of dealing with 213 00:13:03.940 --> 00:13:07.110 A:middle L:90% that. But one thing I did want to point 214 00:13:07.110 --> 00:13:09.139 A:middle L:90% out is that if you look at both this some 215 00:13:09.139 --> 00:13:13.559 A:middle L:90% active product and the S. GM product and then 216 00:13:13.570 --> 00:13:18.740 A:middle L:90% look at the stadium woods area and then the white 217 00:13:18.740 --> 00:13:22.740 A:middle L:90% areas are taller. Uh So uh part of that 218 00:13:22.740 --> 00:13:26.860 A:middle L:90% is certainly one reason for that is that this is 219 00:13:26.860 --> 00:13:30.049 A:middle L:90% leaf off imagery, which is what our base map 220 00:13:30.049 --> 00:13:33.129 A:middle L:90% imagery is intended to be. Uh So these these 221 00:13:33.139 --> 00:13:37.490 A:middle L:90% large decisions trees with the uh they're having more trouble 222 00:13:37.490 --> 00:13:39.250 A:middle L:90% with the auto correlation methods and photograph a tree to 223 00:13:39.250 --> 00:13:41.059 A:middle L:90% get the true tree heights where the lights are, 224 00:13:41.059 --> 00:13:43.659 A:middle L:90% even though that's the latter was leaf off as well 225 00:13:43.860 --> 00:13:46.620 A:middle L:90% . It did a much better job. So, 226 00:13:46.629 --> 00:13:54.360 A:middle L:90% uh but we uh and we did some here is 227 00:13:54.360 --> 00:13:58.039 A:middle L:90% just a difference between the inactive and the lot are 228 00:13:58.039 --> 00:14:01.620 A:middle L:90% subtracting it. So the reds showing you under prediction 229 00:14:01.620 --> 00:14:05.669 A:middle L:90% of heights. Um and the blues showing you over 230 00:14:05.669 --> 00:14:09.179 A:middle L:90% prediction of heights. And actually what that is actually 231 00:14:09.179 --> 00:14:11.509 A:middle L:90% where the stereo pairs did a little better. Because 232 00:14:11.509 --> 00:14:13.799 A:middle L:90% what's actually happening, we determined there was that the 233 00:14:13.799 --> 00:14:18.710 A:middle L:90% light are because of its scanning nature was has shadow 234 00:14:18.710 --> 00:14:20.659 A:middle L:90% areas that the stereo pairs are filling in better. 235 00:14:20.669 --> 00:14:22.919 A:middle L:90% So a lot of those uh thought of those are 236 00:14:22.919 --> 00:14:26.440 A:middle L:90% actually areas that are just in shadow in the white 237 00:14:26.440 --> 00:14:33.399 A:middle L:90% are. So uh um we decided to go ahead 238 00:14:33.399 --> 00:14:37.679 A:middle L:90% with uh the same active product, partly because Sanborn 239 00:14:37.679 --> 00:14:41.990 A:middle L:90% , which was producing our image, our Ortho photography 240 00:14:41.000 --> 00:14:46.049 A:middle L:90% was actually doing using the same active product For the 241 00:14:46.049 --> 00:14:50.519 A:middle L:90% oracle rectification of the 2013 imagery. And they included 242 00:14:50.519 --> 00:14:52.559 A:middle L:90% in the contract that they deliver that digital surface model 243 00:14:52.740 --> 00:14:56.570 A:middle L:90% From that processing to us at no additional cost. 244 00:14:56.580 --> 00:15:00.120 A:middle L:90% So, the 2013 data didn't cost us anything. 245 00:15:00.379 --> 00:15:03.019 A:middle L:90% And to keep it all consistent and after what we 246 00:15:03.019 --> 00:15:07.000 A:middle L:90% learned with the quality assessment we could feel that was 247 00:15:07.000 --> 00:15:09.120 A:middle L:90% pretty good, fairly comparable S. GM. Product 248 00:15:09.129 --> 00:15:11.809 A:middle L:90% that we have them go back to the 2011 data 249 00:15:11.820 --> 00:15:15.590 A:middle L:90% and process that to produce the digital surface model for 250 00:15:15.590 --> 00:15:18.620 A:middle L:90% the areas where we needed it. Uh So uh 251 00:15:18.629 --> 00:15:20.990 A:middle L:90% the uh we performed the QA Qc and house on 252 00:15:20.990 --> 00:15:24.009 A:middle L:90% the sand board product we gathered, we had that 253 00:15:24.009 --> 00:15:28.600 A:middle L:90% data delivered to us in last file format. So 254 00:15:28.629 --> 00:15:31.049 A:middle L:90% in terms of serving it started and serving it, 255 00:15:31.059 --> 00:15:33.649 A:middle L:90% it can be treated the same as the lidar data 256 00:15:33.039 --> 00:15:37.500 A:middle L:90% . Uh Now one thing with the digital surface model 257 00:15:37.669 --> 00:15:41.659 A:middle L:90% from photograph a tree. We can't without additional processing 258 00:15:41.669 --> 00:15:46.000 A:middle L:90% create a digital elevation model, bare earth. So 259 00:15:46.000 --> 00:15:48.610 A:middle L:90% where we don't have wide our data which is fairly 260 00:15:48.610 --> 00:15:50.649 A:middle L:90% easy to produce the bare earth digital elevation model. 261 00:15:50.740 --> 00:15:54.029 A:middle L:90% We're gonna go and rely on our traditional methods of 262 00:15:54.029 --> 00:15:58.990 A:middle L:90% producing a digital train model or digital elevation model which 263 00:15:58.990 --> 00:16:03.970 A:middle L:90% is photograph metric, derive mass points and brake lines 264 00:16:03.980 --> 00:16:08.519 A:middle L:90% that were done by by stereo analysts. So and 265 00:16:08.519 --> 00:16:14.700 A:middle L:90% that's days were updated in 2011 and 2013. So 266 00:16:14.710 --> 00:16:17.500 A:middle L:90% uh so getting that data, the data has been 267 00:16:17.509 --> 00:16:22.269 A:middle L:90% collected, processed uh and delivered to Virginia Tech and 268 00:16:22.279 --> 00:16:26.259 A:middle L:90% uh last collections of last files uh Quite a few 269 00:16:26.940 --> 00:16:29.590 A:middle L:90% . Gosh, I've forgotten now. Seth remember how 270 00:16:29.590 --> 00:16:32.480 A:middle L:90% many terabytes of data I delivered you? It's about 271 00:16:32.490 --> 00:16:36.399 A:middle L:90% five or six so far. We haven't expanded at 272 00:16:36.399 --> 00:16:38.450 A:middle L:90% all. Yes. Right. Because it's yeah there's 273 00:16:38.940 --> 00:16:45.009 A:middle L:90% there's un compressed last files and there's 22 competing compression 274 00:16:45.009 --> 00:16:48.200 A:middle L:90% algorithms out there or compression formats. But anyway it's 275 00:16:48.200 --> 00:16:52.059 A:middle L:90% lots of data obviously. So uh the the general 276 00:16:52.070 --> 00:16:56.080 A:middle L:90% idea of serving these is to use mosaic datasets and 277 00:16:56.080 --> 00:16:59.129 A:middle L:90% a mosaic dataset. If you're not familiar with, 278 00:16:59.129 --> 00:17:03.000 A:middle L:90% you can either have a whole collection of imagery or 279 00:17:03.009 --> 00:17:06.519 A:middle L:90% in this case point clouds. And you can you 280 00:17:06.519 --> 00:17:08.210 A:middle L:90% can build a mosaic dataset which is really just a 281 00:17:08.210 --> 00:17:12.319 A:middle L:90% set as a catalog of all those files, image 282 00:17:12.319 --> 00:17:15.980 A:middle L:90% or point cloud files and mosaic The rules how you're 283 00:17:15.980 --> 00:17:18.720 A:middle L:90% going to mosaic those when you put them together into 284 00:17:18.720 --> 00:17:22.500 A:middle L:90% a seamless product and then how you rast arise them 285 00:17:22.509 --> 00:17:26.279 A:middle L:90% , how you take them and put them into a 286 00:17:26.289 --> 00:17:30.529 A:middle L:90% mosaic pasteurized property. So it actually doesn't create a 287 00:17:30.529 --> 00:17:32.569 A:middle L:90% new copy of the data. It doesn't do the 288 00:17:32.569 --> 00:17:34.470 A:middle L:90% rationalization and make a whole new file there. It 289 00:17:34.470 --> 00:17:38.349 A:middle L:90% just has a way of of of serving that data 290 00:17:38.359 --> 00:17:42.059 A:middle L:90% out through these mosaic mosaic the rules and rosters, 291 00:17:42.339 --> 00:17:47.869 A:middle L:90% raster rationalization properties. So you have a service which 292 00:17:47.869 --> 00:17:51.430 A:middle L:90% can be the elevation service shown here which is in 293 00:17:51.430 --> 00:17:53.160 A:middle L:90% a sense produced on the fly. Now we can 294 00:17:53.170 --> 00:17:56.970 A:middle L:90% speed up serving if we cash some of that. 295 00:17:56.980 --> 00:17:59.720 A:middle L:90% So we're going to probably do that but it doesn't 296 00:17:59.720 --> 00:18:00.940 A:middle L:90% have to be done. And then there's other things 297 00:18:00.940 --> 00:18:03.359 A:middle L:90% once you have that surface out there you can add 298 00:18:03.440 --> 00:18:08.640 A:middle L:90% additional processing function change to create things like slopes services 299 00:18:08.640 --> 00:18:11.960 A:middle L:90% like slopes, hill shade aspect other anything you can 300 00:18:11.960 --> 00:18:15.440 A:middle L:90% basically do is a digital elevation model. You can 301 00:18:15.440 --> 00:18:18.150 A:middle L:90% do that and serve it out without actually having to 302 00:18:18.150 --> 00:18:21.470 A:middle L:90% create a whole another bite terabytes worth of data to 303 00:18:21.470 --> 00:18:26.119 A:middle L:90% do that. And so uh what Virginia Tech's Enterprise 304 00:18:26.119 --> 00:18:30.180 A:middle L:90% Gs is going to do is build uh pretty much 305 00:18:30.180 --> 00:18:32.869 A:middle L:90% this model where we're going to take the last files 306 00:18:32.880 --> 00:18:34.130 A:middle L:90% , put them into last data sets. We're gonna 307 00:18:34.140 --> 00:18:38.210 A:middle L:90% we're not going to go directly into mosaic datasets or 308 00:18:38.220 --> 00:18:41.019 A:middle L:90% terrain but we're gonna go from the last data sets 309 00:18:41.019 --> 00:18:45.670 A:middle L:90% to mosaic datasets and then publish out the Image service 310 00:18:47.140 --> 00:18:49.990 A:middle L:90% elevation Image service. They're basically the same thing in 311 00:18:49.990 --> 00:18:53.940 A:middle L:90% terms of the every software but obviously imagery showing your 312 00:18:53.940 --> 00:19:00.829 A:middle L:90% reflections values and the elevation services showing elevations. So 313 00:19:00.829 --> 00:19:03.849 A:middle L:90% we have some still some work to do. It's 314 00:19:03.849 --> 00:19:06.910 A:middle L:90% not out there ready to roll yet. We have 315 00:19:06.910 --> 00:19:08.470 A:middle L:90% to determine whether we're going to use brake lines in 316 00:19:08.470 --> 00:19:12.519 A:middle L:90% the light. Our data set, we have uh 317 00:19:12.529 --> 00:19:17.420 A:middle L:90% we developed all the light are with USGS guidelines for 318 00:19:17.430 --> 00:19:21.059 A:middle L:90% what's called hydro flattening For one thing light are the 319 00:19:21.059 --> 00:19:23.869 A:middle L:90% near infrared light or has used is pretty much all 320 00:19:23.869 --> 00:19:27.559 A:middle L:90% absorbed by water. So you get very sparse returns 321 00:19:27.559 --> 00:19:30.890 A:middle L:90% and water and very inaccurate elevation. So you get 322 00:19:30.890 --> 00:19:34.380 A:middle L:90% a very rough, inaccurate surface over water. So 323 00:19:34.390 --> 00:19:40.259 A:middle L:90% what is done is break lines or polygons are created 324 00:19:40.259 --> 00:19:44.670 A:middle L:90% to flatten the area where there is water and USGS 325 00:19:44.670 --> 00:19:47.799 A:middle L:90% standards. It's two acres in size or water body 326 00:19:47.799 --> 00:19:49.250 A:middle L:90% or 100 ft with for a scream. So if 327 00:19:49.250 --> 00:19:52.660 A:middle L:90% we incorporate those into certainly the digital elevation model we 328 00:19:52.660 --> 00:19:55.819 A:middle L:90% want to serve. But one of the questions do 329 00:19:55.819 --> 00:19:59.029 A:middle L:90% we incorporate that as well into our digital service models 330 00:19:59.369 --> 00:20:00.539 A:middle L:90% ? And probably I'm thinking we will, we're gonna 331 00:20:00.539 --> 00:20:03.309 A:middle L:90% look at that, make sure that's the right way 332 00:20:03.309 --> 00:20:06.849 A:middle L:90% to go. But for two reasons, one yr 333 00:20:06.849 --> 00:20:08.490 A:middle L:90% doesn't do water well, obviously as I mentioned, 334 00:20:08.490 --> 00:20:12.019 A:middle L:90% but neither does the stereo viewing. You also get 335 00:20:12.019 --> 00:20:17.440 A:middle L:90% very irregular surface inaccurate services over water. So I 336 00:20:17.440 --> 00:20:19.490 A:middle L:90% think we probably should just flatten the surface model for 337 00:20:19.500 --> 00:20:23.849 A:middle L:90% where there's water. Uh there's options. Uh the 338 00:20:23.859 --> 00:20:26.309 A:middle L:90% latest release of R. J. S has a 339 00:20:26.319 --> 00:20:30.299 A:middle L:90% compressed file format which is, you know, reduces 340 00:20:30.299 --> 00:20:33.440 A:middle L:90% the storage size by Uh down from 10 of the 341 00:20:33.440 --> 00:20:37.230 A:middle L:90% original size. And it also is claimed to be 342 00:20:37.230 --> 00:20:40.920 A:middle L:90% a faster in serving. So if that works, 343 00:20:40.920 --> 00:20:41.829 A:middle L:90% that will be that will save us this space and 344 00:20:41.839 --> 00:20:47.789 A:middle L:90% increased performance. Um then uh the uh we also 345 00:20:47.789 --> 00:20:51.519 A:middle L:90% need to determine what services, what image services we 346 00:20:51.519 --> 00:20:52.769 A:middle L:90% want to put out their elevation services. Certainly the 347 00:20:52.769 --> 00:20:56.309 A:middle L:90% digital surface model we need for our application, a 348 00:20:56.319 --> 00:21:00.579 A:middle L:90% digital elevation model. The ground surface for the lighter 349 00:21:00.579 --> 00:21:03.599 A:middle L:90% areas. That's gonna be for straightforward. And then 350 00:21:03.599 --> 00:21:06.259 A:middle L:90% for the non white are areas uh We probably want 351 00:21:06.259 --> 00:21:08.819 A:middle L:90% to go with producing a digital elevation model from our 352 00:21:08.829 --> 00:21:11.880 A:middle L:90% digital train model of of of mass points and brake 353 00:21:11.880 --> 00:21:15.599 A:middle L:90% lines. And then uh and then will this data 354 00:21:15.599 --> 00:21:18.240 A:middle L:90% be available for download if you want to use it 355 00:21:18.250 --> 00:21:22.819 A:middle L:90% for further analysis on your own desktop? That's certainly 356 00:21:22.819 --> 00:21:23.430 A:middle L:90% our intent. I think we have to figure out 357 00:21:23.440 --> 00:21:27.529 A:middle L:90% just how that's gonna work with the uh with the 358 00:21:27.539 --> 00:21:32.150 A:middle L:90% capabilities we have here at enterprise Js. And then 359 00:21:32.160 --> 00:21:34.579 A:middle L:90% uh then we'll create and publish these services, announced 360 00:21:34.579 --> 00:21:37.049 A:middle L:90% them to you and but you start using them. 361 00:21:38.539 --> 00:21:41.700 A:middle L:90% Um so a couple of the things that I wanted 362 00:21:41.700 --> 00:21:45.089 A:middle L:90% to mention before I finish up is that I mentioned 363 00:21:45.089 --> 00:21:48.619 A:middle L:90% before the Virginia genius clearinghouse is uh what we like 364 00:21:48.619 --> 00:21:51.359 A:middle L:90% to be, we like it to be the place 365 00:21:51.359 --> 00:21:53.440 A:middle L:90% for you to go to find data for Virginia Julia 366 00:21:53.450 --> 00:21:56.720 A:middle L:90% , spatial data for Virginia, it's implemented through RGs 367 00:21:56.720 --> 00:22:00.000 A:middle L:90% online. Um And one of the things I wish 368 00:22:00.000 --> 00:22:02.730 A:middle L:90% they would changes, I don't know if you can 369 00:22:02.730 --> 00:22:04.500 A:middle L:90% see it, but there's a little signing, there's 370 00:22:04.500 --> 00:22:07.900 A:middle L:90% a little sign in link up there. And so 371 00:22:07.910 --> 00:22:08.750 A:middle L:90% if you come to this site, you may think 372 00:22:08.750 --> 00:22:11.740 A:middle L:90% you need an account to use that to sign in 373 00:22:11.740 --> 00:22:15.660 A:middle L:90% . You don't have to anything that's publicly available. 374 00:22:15.660 --> 00:22:18.789 A:middle L:90% You can search for and find uh you only need 375 00:22:18.789 --> 00:22:21.390 A:middle L:90% to sign in if you want access to some of 376 00:22:21.390 --> 00:22:23.589 A:middle L:90% our restricted data sets. And if you need access 377 00:22:23.589 --> 00:22:26.470 A:middle L:90% to those restricted data sets actually you won't be able 378 00:22:26.470 --> 00:22:30.259 A:middle L:90% to find them. But if you know about them 379 00:22:30.269 --> 00:22:32.710 A:middle L:90% um if you know about them or you know you 380 00:22:32.710 --> 00:22:34.920 A:middle L:90% think they may have data and one of our restricted 381 00:22:34.920 --> 00:22:37.150 A:middle L:90% data sets actually that you may be most interested in 382 00:22:37.150 --> 00:22:41.109 A:middle L:90% our tax parcels of land ownership parcels. And um 383 00:22:41.119 --> 00:22:45.950 A:middle L:90% if you have an RGs online account from Virginia Tech 384 00:22:45.339 --> 00:22:49.099 A:middle L:90% for instance. Uh and you you know contact me 385 00:22:49.099 --> 00:22:52.470 A:middle L:90% or somebody else that region and you have a good 386 00:22:52.470 --> 00:22:55.079 A:middle L:90% reason for accessing that data. Uh Well we can 387 00:22:55.079 --> 00:22:57.150 A:middle L:90% give you access to that group to get access to 388 00:22:57.150 --> 00:23:00.799 A:middle L:90% that data. Uh It's just our local got many 389 00:23:00.799 --> 00:23:03.460 A:middle L:90% of the local governments prefer that. We don't make 390 00:23:03.460 --> 00:23:06.299 A:middle L:90% their data just easy to download. Many of the 391 00:23:06.299 --> 00:23:07.430 A:middle L:90% parcel data sets are available and you'll be able to 392 00:23:07.430 --> 00:23:11.099 A:middle L:90% find them that the federal government has indicated there five 393 00:23:11.099 --> 00:23:15.359 A:middle L:90% of us just sharing them. So um so I 394 00:23:15.359 --> 00:23:17.410 A:middle L:90% encourage you to go there and look around you. 395 00:23:17.410 --> 00:23:19.329 A:middle L:90% There's things you can download like layer files, shape 396 00:23:19.329 --> 00:23:23.849 A:middle L:90% files, trained data sets. Um There are also 397 00:23:23.849 --> 00:23:27.930 A:middle L:90% things you connect to like our imagery services. Other 398 00:23:27.940 --> 00:23:33.470 A:middle L:90% are geo coding service uh and other services you can 399 00:23:33.470 --> 00:23:36.599 A:middle L:90% add to a web map or a web application. 400 00:23:37.339 --> 00:23:41.849 A:middle L:90% The other thing as I mentioned, our garden effort 401 00:23:41.849 --> 00:23:45.450 A:middle L:90% which is a collaboration with universities to help get our 402 00:23:45.450 --> 00:23:47.900 A:middle L:90% base map data out to the universities for them to 403 00:23:47.900 --> 00:23:52.930 A:middle L:90% use but also provides us additional uh redundancy and having 404 00:23:52.940 --> 00:23:56.700 A:middle L:90% other sites serving some of the same services and maybe 405 00:23:56.700 --> 00:23:59.130 A:middle L:90% even serving some of the services we're not interested in 406 00:23:59.130 --> 00:24:02.640 A:middle L:90% serving like older imagery. Our our objective is to 407 00:24:02.640 --> 00:24:04.990 A:middle L:90% provide the latest imagery to local governments. Uh, 408 00:24:06.000 --> 00:24:07.049 A:middle L:90% so that's our focus and we may not want to 409 00:24:07.059 --> 00:24:10.279 A:middle L:90% we want to retire some of our older data sets 410 00:24:10.279 --> 00:24:11.349 A:middle L:90% , but certainly a lot of people might be interested 411 00:24:11.349 --> 00:24:15.150 A:middle L:90% in older data sets. Uh, so Virginia Tech 412 00:24:15.160 --> 00:24:18.039 A:middle L:90% again has been kind of leader on this setting up 413 00:24:18.039 --> 00:24:21.369 A:middle L:90% the garden site and some of our services are replicated 414 00:24:21.369 --> 00:24:22.750 A:middle L:90% here. And uh, you know, and so 415 00:24:22.750 --> 00:24:26.190 A:middle L:90% will be the elevation service will actually be the, 416 00:24:26.200 --> 00:24:27.210 A:middle L:90% at least at first, the only place that that 417 00:24:27.210 --> 00:24:30.910 A:middle L:90% elevation service will be available through the Virginia Tech garden 418 00:24:30.910 --> 00:24:34.470 A:middle L:90% site. We also have a garden at William and 419 00:24:34.470 --> 00:24:38.250 A:middle L:90% mary. Some of our imagery services are served there 420 00:24:38.259 --> 00:24:41.359 A:middle L:90% . Uh We tend to, we want to have 421 00:24:41.359 --> 00:24:44.900 A:middle L:90% everybody have the similar U. R L garden dot 422 00:24:44.910 --> 00:24:48.529 A:middle L:90% whatever university dot edu. Um We also have a 423 00:24:48.539 --> 00:24:52.710 A:middle L:90% memorandum of understandings in place with Virginia, Commonwealth University 424 00:24:52.710 --> 00:24:56.380 A:middle L:90% University of Richmond mary Washington, jmu. In Radford 425 00:24:56.390 --> 00:25:00.569 A:middle L:90% . Uh to participate in the garden program. Some 426 00:25:00.569 --> 00:25:03.089 A:middle L:90% of those have some services already stood up, but 427 00:25:03.089 --> 00:25:04.400 A:middle L:90% we've not made them kind of publicly available. They're 428 00:25:04.400 --> 00:25:07.670 A:middle L:90% not really quite ready for what? No. Why 429 00:25:08.240 --> 00:25:11.559 A:middle L:90% ? Uh ready to go? Why yet? So 430 00:25:11.940 --> 00:25:14.960 A:middle L:90% Rush through that. But I hope only have five 431 00:25:14.960 --> 00:25:18.910 A:middle L:90% minutes so after. So we want to take some 432 00:25:18.910 --> 00:25:27.329 A:middle L:90% questions. You have time. So I didn't know 433 00:25:27.329 --> 00:25:30.380 A:middle L:90% if you wanted to mention uh not data up and 434 00:25:30.380 --> 00:25:33.559 A:middle L:90% use playing cover effort that you guys are working. 435 00:25:33.140 --> 00:25:38.599 A:middle L:90% Uh Yeah, the the the Bay program, the 436 00:25:38.599 --> 00:25:42.579 A:middle L:90% Chesapeake Bay program has really interested in in getting uh 437 00:25:42.589 --> 00:25:47.130 A:middle L:90% good land cover information, high resolution when cover information 438 00:25:47.140 --> 00:25:48.390 A:middle L:90% more, you know, down to the probably like 439 00:25:48.400 --> 00:25:52.390 A:middle L:90% one m resolution uh for the entire Chesapeake bay. 440 00:25:52.400 --> 00:25:56.119 A:middle L:90% Uh We may try to get it for the entire 441 00:25:56.119 --> 00:25:59.279 A:middle L:90% state. Uh There are there are two budget amendments 442 00:25:59.289 --> 00:26:00.819 A:middle L:90% , one in the Senate and one in the House 443 00:26:00.819 --> 00:26:02.799 A:middle L:90% bill right now. That would provide some fun to 444 00:26:02.799 --> 00:26:04.930 A:middle L:90% do that. And Vi Gin is tasked with coordinating 445 00:26:04.930 --> 00:26:08.390 A:middle L:90% that uh as you if you follow Virginia politics, 446 00:26:08.390 --> 00:26:11.650 A:middle L:90% we don't have a budget. So we don't know 447 00:26:11.650 --> 00:26:14.210 A:middle L:90% whether that money is going to come or not. 448 00:26:14.220 --> 00:26:21.359 A:middle L:90% So hopefully hopefully we'll know soon, hopefully before July 449 00:26:21.359 --> 00:26:23.960 A:middle L:90% one. So I still have a I'm not furloughed 450 00:26:25.440 --> 00:26:27.099 A:middle L:90% So, uh, but the other thing I forgot 451 00:26:27.099 --> 00:26:30.519 A:middle L:90% to mention quickly is that we do have the 2013 452 00:26:30.519 --> 00:26:32.839 A:middle L:90% imagery services out now. And I think you sent 453 00:26:32.839 --> 00:26:37.710 A:middle L:90% out a list announcement on our list sir. Yes 454 00:26:37.710 --> 00:26:41.569 A:middle L:90% . I'm calling to ask this question on the land 455 00:26:41.569 --> 00:26:42.750 A:middle L:90% use land cover. How you have a plan on 456 00:26:42.759 --> 00:26:47.940 A:middle L:90% how you're going to develop that uh go back to 457 00:26:47.940 --> 00:26:52.029 A:middle L:90% the uh the intent is to use high resolution product 458 00:26:52.039 --> 00:26:55.420 A:middle L:90% a lot of it. A lot of the impetus 459 00:26:55.420 --> 00:26:57.990 A:middle L:90% is getting very accurate and previous cover and the feeling 460 00:26:57.990 --> 00:27:00.470 A:middle L:90% at least for a lot of people is that you 461 00:27:00.470 --> 00:27:03.019 A:middle L:90% need at least one m resolution or higher resolution. 462 00:27:03.029 --> 00:27:07.690 A:middle L:90% So uh uh, certainly my feeling is that Virginia 463 00:27:07.690 --> 00:27:08.880 A:middle L:90% based map because it's leaf off and it's at least 464 00:27:08.880 --> 00:27:11.109 A:middle L:90% one ft some type places six inches or three inch 465 00:27:11.109 --> 00:27:15.420 A:middle L:90% resolution is the best place to go. Uh We 466 00:27:15.420 --> 00:27:18.970 A:middle L:90% may also use the nape imagery where we which is 467 00:27:18.970 --> 00:27:22.579 A:middle L:90% available statewide at one m leaf on and we may 468 00:27:22.579 --> 00:27:25.049 A:middle L:90% also use the light our data where we have it 469 00:27:25.059 --> 00:27:27.859 A:middle L:90% because that could help to the classifications. But another 470 00:27:27.859 --> 00:27:30.490 A:middle L:90% thing we have to another hurdle with that is getting 471 00:27:30.500 --> 00:27:34.049 A:middle L:90% all the partners and interested parties to agree on a 472 00:27:34.049 --> 00:27:41.220 A:middle L:90% classification scheme. That's been that's been interesting. All 473 00:27:41.220 --> 00:27:45.660 A:middle L:90% right, other questions. Thank you, sir. 474 00:27:45.670 --> 00:27:52.650 A:middle L:90% All right, well thank you. Before we break 475 00:27:52.650 --> 00:27:55.549 A:middle L:90% to the posters, we have a special presentation by 476 00:27:55.549 --> 00:28:00.970 A:middle L:90% Dr Campbell. Yes, I'm not an important mission 477 00:28:00.970 --> 00:28:03.940 A:middle L:90% but I won't be long. Uhh I think we're 478 00:28:03.940 --> 00:28:07.250 A:middle L:90% all aware there are people in our community who do 479 00:28:07.250 --> 00:28:14.170 A:middle L:90% some work that gets recognition outside our community and sometimes 480 00:28:14.170 --> 00:28:18.319 A:middle L:90% they make special awards for these folks and sometimes the 481 00:28:18.329 --> 00:28:22.250 A:middle L:90% people involved are not available to get the award at 482 00:28:22.259 --> 00:28:26.309 A:middle L:90% the time it's presented. So the American view people 483 00:28:26.319 --> 00:28:32.269 A:middle L:90% are group of 39 states who works nationwide on sentencing 484 00:28:33.539 --> 00:28:38.819 A:middle L:90% NGS activities has asked me to present to tammy Parisse 485 00:28:38.829 --> 00:28:45.259 A:middle L:90% a special award. Mhm. Yes, you have 486 00:28:45.259 --> 00:28:57.660 A:middle L:90% to come. Okay. Uh huh. To appreciate 487 00:28:57.660 --> 00:29:02.380 A:middle L:90% this. Nice citation. It talks about her worked 488 00:29:02.390 --> 00:29:10.960 A:middle L:90% outreach to communities outside with geospatial activities outside the university 489 00:29:11.440 --> 00:29:17.289 A:middle L:90% . Her work books, I forgot um training state 490 00:29:17.289 --> 00:29:22.779 A:middle L:90% agency employees and especially for her work to develop tutorials 491 00:29:22.789 --> 00:29:27.400 A:middle L:90% to bring um the religious image processing tools to a 492 00:29:27.410 --> 00:29:32.690 A:middle L:90% broader community of people which is now reaching what's the 493 00:29:32.690 --> 00:29:36.789 A:middle L:90% latest count on our. Mhm. This is about 494 00:29:37.549 --> 00:29:48.650 A:middle L:90% beyond the house, so Thank you very much before 495 00:29:48.650 --> 00:29:51.509 A:middle L:90% we break to the social. A couple points. 496 00:29:51.509 --> 00:29:55.559 A:middle L:90% First off there are over 40 posters out there and 497 00:29:55.559 --> 00:30:00.039 A:middle L:90% they're excellent, so don't bolt because the oral portion 498 00:30:00.049 --> 00:30:04.369 A:middle L:90% is done, there's lots of fun science out there 499 00:30:04.369 --> 00:30:07.650 A:middle L:90% to really explore honestly. Um I want to give 500 00:30:07.650 --> 00:30:12.930 A:middle L:90% credit to the remote sensing interdisciplinary graduate education program for 501 00:30:12.940 --> 00:30:15.960 A:middle L:90% a second year in a row. Um sponsoring our 502 00:30:15.960 --> 00:30:21.569 A:middle L:90% social um and so enjoy it. Um Also credit 503 00:30:21.569 --> 00:30:25.880 A:middle L:90% to the same program for helping to sponsor our keynote 504 00:30:25.880 --> 00:30:27.700 A:middle L:90% speakers. I also want to give credit to our 505 00:30:27.700 --> 00:30:32.200 A:middle L:90% poster session judges who are the following carrie, Goldbaek 506 00:30:32.200 --> 00:30:34.309 A:middle L:90% , Dubose, joe baker, MEREDITH steel and bob 507 00:30:34.309 --> 00:30:40.049 A:middle L:90% Oliver who will be presenting hopefully the results of that 508 00:30:40.339 --> 00:30:42.910 A:middle L:90% Judging at about an hour. So we'll come back 509 00:30:42.910 --> 00:30:47.269 A:middle L:90% here at 10 after five for the results of that 510 00:30:47.740 --> 00:30:51.849 A:middle L:90% judging. Hopefully Folks will be around and can and 511 00:30:51.849 --> 00:30:53.369 A:middle L:90% will stick around long enough to socialize because it's really 512 00:30:53.369 --> 00:30:56.569 A:middle L:90% fun to interact with each other and see what's going 513 00:30:56.569 --> 00:30:59.670 A:middle L:90% on. The whole purpose of this activity, you 514 00:30:59.670 --> 00:31:02.140 A:middle L:90% know that we've been doing the last 16 years is 515 00:31:02.150 --> 00:31:03.250 A:middle L:90% to build community. So let's go out there and 516 00:31:03.259 --> 00:31:07.900 A:middle L:90% have a cold or not so cold one and build 517 00:31:07.900 --> 00:31:11.539 A:middle L:90% some community. So, um please um let's go 518 00:31:11.539 --> 00:31:12.170 A:middle L:90% do it. We'll be back here in an hour 519 --> A:middle L:90% .