1 00:00:04,470 --> 00:00:02,629 hi my name is taylor plattner and i will 2 00:00:06,389 --> 00:00:04,480 be talking about identifying field sites 3 00:00:08,390 --> 00:00:06,399 that have high biosignature preservation 4 00:00:11,509 --> 00:00:08,400 potential in planetary analog brand 5 00:00:14,709 --> 00:00:13,030 mars is proposed to have undergone a 6 00:00:16,390 --> 00:00:14,719 shift from a relatively water-rich world 7 00:00:17,910 --> 00:00:16,400 with neutral ph toward a more arid 8 00:00:19,750 --> 00:00:17,920 environment that became dominated by 9 00:00:21,189 --> 00:00:19,760 saline and acidic waters induced by 10 00:00:23,029 --> 00:00:21,199 extensive weathering of the basaltic 11 00:00:24,550 --> 00:00:23,039 bedrock this is marked in the rock 12 00:00:26,310 --> 00:00:24,560 record by shift from clay-dominated 13 00:00:27,910 --> 00:00:26,320 rocks to sulfate-rich minerals and opal 14 00:00:29,509 --> 00:00:27,920 in silica 15 00:00:31,830 --> 00:00:29,519 and from the various aqueous minerals 16 00:00:32,870 --> 00:00:31,840 images detected many locations on mars 17 00:00:34,229 --> 00:00:32,880 show evidence of the customary 18 00:00:36,389 --> 00:00:34,239 environments that indicate diverse 19 00:00:37,350 --> 00:00:36,399 aqueous conditions and as i talk about 20 00:00:38,310 --> 00:00:37,360 like history environments throughout 21 00:00:40,709 --> 00:00:38,320 this talk 22 00:00:43,510 --> 00:00:40,719 all i mean when i say liquestrian is 23 00:00:45,110 --> 00:00:43,520 being associated or related to lakes 24 00:00:46,709 --> 00:00:45,120 and if you can imagine 25 00:00:48,790 --> 00:00:46,719 various equestrian environments across 26 00:00:50,950 --> 00:00:48,800 the surface of mars in the past during 27 00:00:51,990 --> 00:00:50,960 the nowakian era the problem with 28 00:00:53,990 --> 00:00:52,000 understanding these little customer 29 00:00:55,750 --> 00:00:54,000 environments is that we don't know how 30 00:00:57,189 --> 00:00:55,760 truly habitable these environments 31 00:00:58,709 --> 00:00:57,199 really were 32 00:01:01,110 --> 00:00:58,719 because much remains to be understood 33 00:01:02,790 --> 00:01:01,120 about the early environmental conditions 34 00:01:05,270 --> 00:01:02,800 on mars 35 00:01:07,750 --> 00:01:05,280 in addition we also don't know how this 36 00:01:09,990 --> 00:01:07,760 transition from wet to dry affected the 37 00:01:12,070 --> 00:01:10,000 preservation of potential biomarkers so 38 00:01:13,270 --> 00:01:12,080 much remains to be understood about 39 00:01:15,749 --> 00:01:13,280 early mars 40 00:01:17,590 --> 00:01:15,759 and its environmental conditions and the 41 00:01:20,870 --> 00:01:17,600 preservation of potential biomarkers and 42 00:01:22,469 --> 00:01:20,880 these customer environments 43 00:01:24,469 --> 00:01:22,479 we are slowly learning what early mars 44 00:01:26,310 --> 00:01:24,479 was like from various rover missions 45 00:01:28,550 --> 00:01:26,320 that explored past water environments on 46 00:01:31,429 --> 00:01:28,560 mars such as spirit opportunity 47 00:01:32,870 --> 00:01:31,439 curiosity and now perseverance from the 48 00:01:34,789 --> 00:01:32,880 various images that have been returned 49 00:01:36,630 --> 00:01:34,799 to us from these river missions it's 50 00:01:37,749 --> 00:01:36,640 real lake beds that are geochemically 51 00:01:39,670 --> 00:01:37,759 complex 52 00:01:41,510 --> 00:01:39,680 for example hematite blueberries that 53 00:01:44,230 --> 00:01:41,520 were imaged by opportunity and 54 00:01:46,469 --> 00:01:44,240 cross-bedding images seen by curiosity 55 00:01:47,910 --> 00:01:46,479 and from these various images 56 00:01:50,230 --> 00:01:47,920 it indicates that the feature that you 57 00:01:52,469 --> 00:01:50,240 see on the surface of mars had to have 58 00:01:55,590 --> 00:01:52,479 had long-term interactions with water to 59 00:01:58,709 --> 00:01:55,600 produce the features seen here 60 00:02:00,389 --> 00:01:58,719 and on earth we know when you have these 61 00:02:02,550 --> 00:02:00,399 long-term interactions with water and 62 00:02:04,310 --> 00:02:02,560 rock the composition of your surface 63 00:02:07,109 --> 00:02:04,320 water and ground water is largely 64 00:02:08,790 --> 00:02:07,119 controlled by the reactions of water 65 00:02:10,869 --> 00:02:08,800 with rock and minerals that it's 66 00:02:13,910 --> 00:02:10,879 associated with and so these water rock 67 00:02:15,589 --> 00:02:13,920 processes can influence the ph salinity 68 00:02:17,510 --> 00:02:15,599 water activity 69 00:02:21,030 --> 00:02:17,520 and bulk chemistry 70 00:02:23,430 --> 00:02:21,040 of your water and so these water 71 00:02:25,670 --> 00:02:23,440 reactions are really important in terms 72 00:02:27,510 --> 00:02:25,680 of habitability and how this could 73 00:02:29,030 --> 00:02:27,520 affect the preservation of potential 74 00:02:30,710 --> 00:02:29,040 biomarkers 75 00:02:33,750 --> 00:02:30,720 and on mars we only can look at the 76 00:02:36,229 --> 00:02:33,760 rocks that were influenced by lake water 77 00:02:37,830 --> 00:02:36,239 however with analog lakes on earth such 78 00:02:39,910 --> 00:02:37,840 as the western australia transiting 79 00:02:42,229 --> 00:02:39,920 lakes we can actually understand these 80 00:02:45,270 --> 00:02:42,239 water rock processes and understand how 81 00:02:47,110 --> 00:02:45,280 habitable these environments were 82 00:02:49,509 --> 00:02:47,120 and how it could potentially preserve 83 00:02:51,589 --> 00:02:49,519 biomarkers over time by looking at these 84 00:02:53,509 --> 00:02:51,599 analog lakes that are going through 85 00:02:55,589 --> 00:02:53,519 these active wet dry cycles and so we 86 00:02:58,550 --> 00:02:55,599 can actually understand 87 00:03:00,630 --> 00:02:58,560 more about these water rock processes 88 00:03:02,229 --> 00:03:00,640 from these custom environments we know 89 00:03:05,270 --> 00:03:02,239 as they go through a dry stage that they 90 00:03:07,190 --> 00:03:05,280 evaporate out various minerals such as 91 00:03:09,030 --> 00:03:07,200 gypsum and halite and i'm focusing on 92 00:03:10,790 --> 00:03:09,040 gypsum and halite in this talk because 93 00:03:13,910 --> 00:03:10,800 the analog lakes i'm talking about are 94 00:03:15,830 --> 00:03:13,920 either halite or gypsum dominated 95 00:03:17,190 --> 00:03:15,840 and as we know when these lakes go 96 00:03:19,270 --> 00:03:17,200 through dry states they've evaporated 97 00:03:21,589 --> 00:03:19,280 out these minerals and when they do this 98 00:03:25,350 --> 00:03:21,599 they can entomb bias signatures 99 00:03:29,030 --> 00:03:27,750 various evaporites have been documented 100 00:03:30,309 --> 00:03:29,040 to preserve 101 00:03:32,309 --> 00:03:30,319 cells or 102 00:03:33,990 --> 00:03:32,319 molecules for upwards of thousands to 103 00:03:36,309 --> 00:03:34,000 millions of years 104 00:03:37,830 --> 00:03:36,319 and this is just an example on the left 105 00:03:40,550 --> 00:03:37,840 of preservation and gypsum and on the 106 00:03:42,470 --> 00:03:40,560 right is preservation and halite so 107 00:03:44,390 --> 00:03:42,480 we can identify these the customer 108 00:03:47,830 --> 00:03:44,400 environments from orbit by identifying 109 00:03:50,869 --> 00:03:47,840 either gypsum or halite 110 00:03:53,589 --> 00:03:50,879 remotely and when we do this 111 00:03:55,429 --> 00:03:53,599 in turn we can also identify areas that 112 00:03:57,429 --> 00:03:55,439 have a high biosignature preservation 113 00:03:59,030 --> 00:03:57,439 potential 114 00:04:00,070 --> 00:03:59,040 the analog lakes that i'm interested in 115 00:04:01,350 --> 00:04:00,080 are called the western australia 116 00:04:02,869 --> 00:04:01,360 transient lakes 117 00:04:05,990 --> 00:04:02,879 and they're really unique to mars in 118 00:04:07,910 --> 00:04:06,000 terms of their age and composition 119 00:04:09,910 --> 00:04:07,920 these host rocks that the lakes sit on 120 00:04:12,869 --> 00:04:09,920 are about the same age as the hesperian 121 00:04:14,949 --> 00:04:12,879 and novakian terrains on mars and in 122 00:04:16,550 --> 00:04:14,959 addition they have a similar composition 123 00:04:18,870 --> 00:04:16,560 to various little customer environments 124 00:04:22,310 --> 00:04:18,880 on mars such as murdani platinum and 125 00:04:25,270 --> 00:04:24,150 and in addition these lakes are also 126 00:04:27,350 --> 00:04:25,280 interesting because they have a wide 127 00:04:30,150 --> 00:04:27,360 range of geochemical conditions 128 00:04:31,990 --> 00:04:30,160 including ph salinity and temperatures 129 00:04:33,830 --> 00:04:32,000 which we think that mars could have had 130 00:04:35,590 --> 00:04:33,840 a wide range of geochemical conditions 131 00:04:37,189 --> 00:04:35,600 in the past and this image is just 132 00:04:39,749 --> 00:04:37,199 showing what these western australia 133 00:04:41,990 --> 00:04:39,759 transit legs look like 134 00:04:42,790 --> 00:04:42,000 and as you can see there's multiple of 135 00:04:44,469 --> 00:04:42,800 them 136 00:04:46,950 --> 00:04:44,479 and so what i'm going to most will be 137 00:04:49,510 --> 00:04:46,960 focusing on this talk is using remote 138 00:04:52,870 --> 00:04:49,520 sensing to inform site selection of 139 00:04:54,469 --> 00:04:52,880 these lakes so down selecting from 140 00:04:58,230 --> 00:04:54,479 hundreds of lakes 141 00:05:00,310 --> 00:04:58,240 to a small section of lakes to go sample 142 00:05:01,590 --> 00:05:00,320 in situ 143 00:05:02,950 --> 00:05:01,600 as i was saying earlier the western 144 00:05:04,870 --> 00:05:02,960 australia trains and lakes go through 145 00:05:07,830 --> 00:05:04,880 these wet dry cycles and as they do this 146 00:05:08,950 --> 00:05:07,840 the geochemical conditions change 147 00:05:10,870 --> 00:05:08,960 and so what i'm showing here is a 148 00:05:13,350 --> 00:05:10,880 schematic diagram going through each of 149 00:05:15,590 --> 00:05:13,360 the stages 150 00:05:16,790 --> 00:05:15,600 and as they do this their geochemical 151 00:05:18,790 --> 00:05:16,800 response 152 00:05:20,710 --> 00:05:18,800 to that stage and so the first one is 153 00:05:23,029 --> 00:05:20,720 the wet stage or the flooding stage in 154 00:05:25,430 --> 00:05:23,039 which all your vaporites are basically 155 00:05:27,590 --> 00:05:25,440 dissolved and 156 00:05:29,670 --> 00:05:27,600 in this stage you're going to have 157 00:05:31,670 --> 00:05:29,680 the most basic water and it's going to 158 00:05:33,430 --> 00:05:31,680 be the least saline 159 00:05:34,870 --> 00:05:33,440 and then when you slowly evaporate out 160 00:05:36,310 --> 00:05:34,880 water you're going to start to perform 161 00:05:37,909 --> 00:05:36,320 your precipitates such as halite and 162 00:05:39,749 --> 00:05:37,919 gypsum because these western style 163 00:05:41,590 --> 00:05:39,759 transients are gypsum or halite 164 00:05:42,870 --> 00:05:41,600 dominated lakes 165 00:05:44,469 --> 00:05:42,880 and when you evaporate out these 166 00:05:46,629 --> 00:05:44,479 minerals this is when you can attune 167 00:05:48,629 --> 00:05:46,639 biomarkers and this is when your ph is 168 00:05:49,670 --> 00:05:48,639 going to become more acidic and more 169 00:05:52,230 --> 00:05:49,680 saline 170 00:05:53,670 --> 00:05:52,240 and then finally in your dry stage this 171 00:05:54,710 --> 00:05:53,680 is when you've evaporated out all your 172 00:05:56,390 --> 00:05:54,720 water 173 00:05:58,710 --> 00:05:56,400 and you have these thick halite and 174 00:05:59,909 --> 00:05:58,720 gypsum beds this is when your 175 00:06:02,629 --> 00:05:59,919 late chemistries are going to be the 176 00:06:04,390 --> 00:06:02,639 most acidic and the most saline and so 177 00:06:07,270 --> 00:06:04,400 motivation for this 178 00:06:10,469 --> 00:06:07,280 is trying to identify these cycles 179 00:06:12,150 --> 00:06:10,479 from orbit so that we can 180 00:06:13,830 --> 00:06:12,160 influence our 181 00:06:16,150 --> 00:06:13,840 sampling time so that we can capture 182 00:06:18,070 --> 00:06:16,160 both the wet and the dry cycle so we can 183 00:06:20,070 --> 00:06:18,080 capture how these lakes are changing 184 00:06:22,469 --> 00:06:20,080 over time and how that is affecting 185 00:06:25,110 --> 00:06:22,479 habitability of the system 186 00:06:27,830 --> 00:06:25,120 and in turn affecting preservation of 187 00:06:31,830 --> 00:06:29,510 so how do i identify 188 00:06:34,309 --> 00:06:31,840 these wet dry cycles from orbit i did 189 00:06:36,550 --> 00:06:34,319 this by using landsat 8 data from usgs 190 00:06:39,909 --> 00:06:36,560 and i completed band ratio images 191 00:06:42,790 --> 00:06:39,919 specifically using band 5 and band 6 of 192 00:06:44,870 --> 00:06:42,800 landsat 8 because it uniquely these 193 00:06:46,070 --> 00:06:44,880 bands uniquely define the distribution 194 00:06:48,710 --> 00:06:46,080 of gypsum 195 00:06:50,070 --> 00:06:48,720 and specifically i'm focusing on gypsum 196 00:06:52,230 --> 00:06:50,080 right now because these legs are either 197 00:06:53,510 --> 00:06:52,240 halite or gypsum dominated and what 198 00:06:56,230 --> 00:06:53,520 you're seeing in this image is a 199 00:06:58,390 --> 00:06:56,240 spectrum of gypsum and 200 00:07:00,150 --> 00:06:58,400 this is showing where band 5 and band 6 201 00:07:02,309 --> 00:07:00,160 of landsat covers 202 00:07:04,390 --> 00:07:02,319 and so this band 5 is covering a highly 203 00:07:06,870 --> 00:07:04,400 a highly reflective portion of the 204 00:07:08,230 --> 00:07:06,880 gypsum spectrum and the band 6 is 205 00:07:09,909 --> 00:07:08,240 covering a highly absorptive feature of 206 00:07:12,469 --> 00:07:09,919 the gypsum spectrum and when you take a 207 00:07:15,270 --> 00:07:12,479 band ratio of those two bands what 208 00:07:17,909 --> 00:07:15,280 you'll get in the return image is 209 00:07:20,309 --> 00:07:17,919 showing that the bright areas are gonna 210 00:07:21,350 --> 00:07:20,319 indicate gypsum and so that's what i'm 211 00:07:23,510 --> 00:07:21,360 gonna show 212 00:07:25,510 --> 00:07:23,520 in a couple of slides when i show my 213 00:07:28,629 --> 00:07:25,520 band ratio images 214 00:07:30,870 --> 00:07:28,639 and really quick i just wanted to show 215 00:07:32,230 --> 00:07:30,880 where these lakes were at on a map so 216 00:07:33,670 --> 00:07:32,240 all the red dots are the western 217 00:07:35,670 --> 00:07:33,680 australia transient links which are 218 00:07:37,430 --> 00:07:35,680 documented in the literature 219 00:07:41,589 --> 00:07:37,440 and 220 00:07:43,589 --> 00:07:41,599 i basically looked at all of these lakes 221 00:07:45,189 --> 00:07:43,599 over several years 222 00:07:47,270 --> 00:07:45,199 to see if i could identify whether 223 00:07:48,390 --> 00:07:47,280 they're going through wet dry cycles 224 00:07:49,830 --> 00:07:48,400 over time 225 00:07:51,510 --> 00:07:49,840 and so what you'll see in the return 226 00:07:52,869 --> 00:07:51,520 images is that the 227 00:07:56,070 --> 00:07:52,879 southern grouping of lakes acts 228 00:07:58,070 --> 00:07:56,080 differently than the rest of these lakes 229 00:07:59,909 --> 00:07:58,080 the eastern northern and central lakes 230 00:08:01,830 --> 00:07:59,919 and these are just based off 231 00:08:03,510 --> 00:08:01,840 um grouped off by their geographical 232 00:08:05,430 --> 00:08:03,520 location 233 00:08:07,110 --> 00:08:05,440 and these southern light groupings act 234 00:08:10,070 --> 00:08:07,120 differently because if you look at the 235 00:08:13,749 --> 00:08:10,080 precipitation and climate data 236 00:08:16,309 --> 00:08:13,759 this location gets more average rainfall 237 00:08:19,029 --> 00:08:16,319 than the rest of the lakes in local 238 00:08:23,589 --> 00:08:19,039 winter in australia and so that's what 239 00:08:26,950 --> 00:08:24,710 okay so what i'm going to show in the 240 00:08:29,589 --> 00:08:26,960 next couple images 241 00:08:31,670 --> 00:08:29,599 are these two subsets of lakes so on the 242 00:08:32,790 --> 00:08:31,680 left is going to be in blue 243 00:08:34,630 --> 00:08:32,800 it's going to be the southern region of 244 00:08:36,550 --> 00:08:34,640 lakes on the right and red is going to 245 00:08:38,070 --> 00:08:36,560 be this small subset of the eastern 246 00:08:39,750 --> 00:08:38,080 grouping of lakes 247 00:08:41,829 --> 00:08:39,760 so this is southern region and then this 248 00:08:44,070 --> 00:08:41,839 is the eastern region and this is just a 249 00:08:46,389 --> 00:08:44,080 color image of the lakes 250 00:08:47,750 --> 00:08:46,399 and on the top row is going to be local 251 00:08:50,630 --> 00:08:47,760 summer in western australia and the 252 00:08:52,310 --> 00:08:50,640 monroe's local winter in australia 253 00:08:53,750 --> 00:08:52,320 and what you'll see again in the 254 00:08:55,190 --> 00:08:53,760 southern region of lakes is that they 255 00:08:56,230 --> 00:08:55,200 act differently than the rest of the 256 00:08:57,509 --> 00:08:56,240 lakes 257 00:09:00,470 --> 00:08:57,519 and 258 00:09:02,790 --> 00:09:00,480 you can really see this in january 259 00:09:04,389 --> 00:09:02,800 and july and this is because in local 260 00:09:06,070 --> 00:09:04,399 summer this is when 261 00:09:07,190 --> 00:09:06,080 these lakes are going the southern 262 00:09:09,430 --> 00:09:07,200 grouping of lakes are going through a 263 00:09:11,269 --> 00:09:09,440 dry stage and then in july they're going 264 00:09:12,790 --> 00:09:11,279 through a wet stage whereas these 265 00:09:15,670 --> 00:09:12,800 eastern grouping of flakes you can't 266 00:09:20,949 --> 00:09:17,990 okay so this is the band ratio images 267 00:09:23,110 --> 00:09:20,959 that i did to indicate that gypsum was 268 00:09:24,470 --> 00:09:23,120 present again this is the southern 269 00:09:26,230 --> 00:09:24,480 region of lakes and this is the eastern 270 00:09:28,550 --> 00:09:26,240 grouping of flakes 271 00:09:31,110 --> 00:09:28,560 and this is the band ratio image not the 272 00:09:32,550 --> 00:09:31,120 color image so this is 273 00:09:34,949 --> 00:09:32,560 again local 274 00:09:37,110 --> 00:09:34,959 summer is the top row and local winner 275 00:09:39,430 --> 00:09:37,120 is the bottom row and so what you'll see 276 00:09:41,110 --> 00:09:39,440 that is different in the southern region 277 00:09:42,470 --> 00:09:41,120 of lakes rather than in the eastern 278 00:09:43,750 --> 00:09:42,480 region is that 279 00:09:45,990 --> 00:09:43,760 these southern region lakes are really 280 00:09:47,269 --> 00:09:46,000 going through a dry stage in a wet stage 281 00:09:49,350 --> 00:09:47,279 again this dry stage is when you've 282 00:09:50,630 --> 00:09:49,360 evaporated all your minerals this is 283 00:09:52,389 --> 00:09:50,640 going to be the most acidic and most 284 00:09:53,910 --> 00:09:52,399 saline whereas in the wet stage you've 285 00:09:55,750 --> 00:09:53,920 dissolved all your minerals and it's 286 00:09:58,550 --> 00:09:55,760 going to be the least saline and the 287 00:09:59,990 --> 00:09:58,560 most basic so we want to sample both of 288 00:10:01,990 --> 00:10:00,000 these times 289 00:10:03,590 --> 00:10:02,000 to understand what's happening over time 290 00:10:05,509 --> 00:10:03,600 in these western australia transient 291 00:10:06,870 --> 00:10:05,519 lakes and whereas in the eastern 292 00:10:08,389 --> 00:10:06,880 groupings of lakes you really can't tell 293 00:10:09,829 --> 00:10:08,399 what is happening 294 00:10:12,949 --> 00:10:09,839 over time whether it's going through a 295 00:10:14,710 --> 00:10:12,959 wet dry cycle or not 296 00:10:16,389 --> 00:10:14,720 based off the remote sensing results 297 00:10:18,710 --> 00:10:16,399 most of the lakes don't show the 298 00:10:20,949 --> 00:10:18,720 seasonal variations only the southern 299 00:10:22,870 --> 00:10:20,959 regions of lakes really show 300 00:10:24,870 --> 00:10:22,880 a trend as they go through these wet dry 301 00:10:26,790 --> 00:10:24,880 cycles 302 00:10:28,710 --> 00:10:26,800 and this is important when we actually 303 00:10:30,949 --> 00:10:28,720 go sample these measuring 304 00:10:33,430 --> 00:10:30,959 these lakes in situ 305 00:10:34,870 --> 00:10:33,440 so we actually get context 306 00:10:36,790 --> 00:10:34,880 when we sample 307 00:10:39,750 --> 00:10:36,800 and from these results it's really 308 00:10:41,350 --> 00:10:39,760 motivation for a second sampling season 309 00:10:42,790 --> 00:10:41,360 for the southern region of the lakes so 310 00:10:45,030 --> 00:10:42,800 we want to go to the western australia 311 00:10:47,190 --> 00:10:45,040 lakes and sample twice at different 312 00:10:49,110 --> 00:10:47,200 times and the local winter in local 313 00:10:50,790 --> 00:10:49,120 summer so that we capture these wet dry 314 00:10:51,910 --> 00:10:50,800 cycles that the southern region of lakes 315 00:10:53,750 --> 00:10:51,920 are going to 316 00:10:55,430 --> 00:10:53,760 whereas the other group of lakes such as 317 00:10:56,710 --> 00:10:55,440 central eastern and northern lakes we 318 00:11:02,230 --> 00:10:56,720 can really sample 319 00:11:06,230 --> 00:11:04,310 now to complete this work i want to 320 00:11:07,509 --> 00:11:06,240 ground truth with the spectrometer to 321 00:11:10,150 --> 00:11:07,519 identify 322 00:11:11,509 --> 00:11:10,160 gypsum and situ so that we can 323 00:11:14,630 --> 00:11:11,519 verify whether what we're seeing in the 324 00:11:16,389 --> 00:11:14,640 remote sensing images is actually gypsum 325 00:11:18,310 --> 00:11:16,399 in addition i want to further map and 326 00:11:20,710 --> 00:11:18,320 identify gypsum using the spectral angle 327 00:11:22,550 --> 00:11:20,720 mapper classification and envy 328 00:11:24,150 --> 00:11:22,560 and then lastly i want to extend present 329 00:11:25,910 --> 00:11:24,160 work 330 00:11:28,389 --> 00:11:25,920 to include 331 00:11:30,870 --> 00:11:28,399 halite by using astra data 332 00:11:32,870 --> 00:11:30,880 because you need the thermal infrared to 333 00:11:35,030 --> 00:11:32,880 identify chlorides and i'm going to do 334 00:11:37,110 --> 00:11:35,040 this by using a method developed by 335 00:11:38,710 --> 00:11:37,120 alice baldridge which was then