1 00:00:07,500 --> 00:00:10,950 [Music] 2 00:00:16,630 --> 00:00:13,749 my land covered career really started in 3 00:00:18,470 --> 00:00:16,640 2002 with biggest wildfire in oregon's 4 00:00:21,750 --> 00:00:18,480 history and that was the biscuit 5 00:00:24,630 --> 00:00:21,760 wildfire i at the time was doing botany 6 00:00:26,710 --> 00:00:24,640 surveys and looking for rare plants or 7 00:00:29,189 --> 00:00:26,720 rare mushrooms and so i was spending a 8 00:00:31,910 --> 00:00:29,199 lot of time out on the on the forest 9 00:00:33,830 --> 00:00:31,920 looking at and taking photos and doing 10 00:00:36,150 --> 00:00:33,840 the documentation that a scientist or 11 00:00:37,110 --> 00:00:36,160 land manager does when that fire 12 00:00:39,510 --> 00:00:37,120 happened 13 00:00:42,150 --> 00:00:39,520 it changed everything because we all had 14 00:00:44,069 --> 00:00:42,160 to react to this fire that was burning 15 00:00:46,310 --> 00:00:44,079 up some of the places that i'd literally 16 00:00:48,150 --> 00:00:46,320 been the day before 17 00:00:50,549 --> 00:00:48,160 and it was mapping what was there and 18 00:00:52,790 --> 00:00:50,559 what was under threat but it was also 19 00:00:55,590 --> 00:00:52,800 mapping the effects of the fire we 20 00:00:57,830 --> 00:00:55,600 needed to find a way to look across 500 21 00:01:00,150 --> 00:00:57,840 000 acres and the only way that we could 22 00:01:02,549 --> 00:01:00,160 really do that was satellite data 23 00:01:05,350 --> 00:01:02,559 if we can't get out and actually measure 24 00:01:07,270 --> 00:01:05,360 every single thing what are we missing 25 00:01:08,950 --> 00:01:07,280 and that's where citizen scientists can 26 00:01:10,950 --> 00:01:08,960 actually come in and really help 27 00:01:13,910 --> 00:01:10,960 traditional scientists to better 28 00:01:18,149 --> 00:01:13,920 understand what is happening around them 29 00:01:21,910 --> 00:01:19,990 the global learning and observations to 30 00:01:23,429 --> 00:01:21,920 benefit the environment program is an 31 00:01:24,550 --> 00:01:23,439 international science and education 32 00:01:26,390 --> 00:01:24,560 program 33 00:01:28,310 --> 00:01:26,400 it provides students and the public with 34 00:01:31,590 --> 00:01:28,320 the opportunity to participate in data 35 00:01:33,510 --> 00:01:31,600 collection and the scientific process 36 00:01:35,030 --> 00:01:33,520 the globe observer app is one of these 37 00:01:36,789 --> 00:01:35,040 opportunities allowing citizen 38 00:01:38,630 --> 00:01:36,799 scientists and students to take land 39 00:01:42,870 --> 00:01:38,640 cover observations around the world and 40 00:01:48,149 --> 00:01:46,310 but what exactly is land cover 41 00:01:50,069 --> 00:01:48,159 dr eric brown to colston of nasa's 42 00:01:52,069 --> 00:01:50,079 goddard space flight center explains 43 00:01:54,789 --> 00:01:52,079 land cover is really the basic form of 44 00:01:59,030 --> 00:01:54,799 the landscape that we have around us 45 00:02:00,709 --> 00:01:59,040 so whether it's a forest or a desert 46 00:02:02,469 --> 00:02:00,719 but it's really one of the components of 47 00:02:04,709 --> 00:02:02,479 the landscape that we can study from 48 00:02:06,630 --> 00:02:04,719 space 49 00:02:09,270 --> 00:02:06,640 peter nelson is a scientist who uses 50 00:02:11,750 --> 00:02:09,280 land cover imagery in his research i am 51 00:02:14,949 --> 00:02:11,760 a remote sensing scientist who studies 52 00:02:18,150 --> 00:02:14,959 land cover across the globe 53 00:02:20,869 --> 00:02:18,160 i use satellite imagery to make maps of 54 00:02:23,030 --> 00:02:20,879 land cover and try to quantify what 55 00:02:25,350 --> 00:02:23,040 covers the earth 56 00:02:27,430 --> 00:02:25,360 sometimes the satellite can't see what's 57 00:02:29,750 --> 00:02:27,440 happening underneath a tree canopy or 58 00:02:31,670 --> 00:02:29,760 what's happening underneath cloud cover 59 00:02:33,589 --> 00:02:31,680 and so we really need people to go out 60 00:02:36,229 --> 00:02:33,599 there and to take these photos to do 61 00:02:37,990 --> 00:02:36,239 these observations to help fill in where 62 00:02:40,229 --> 00:02:38,000 a satellite can't actually make some 63 00:02:42,470 --> 00:02:40,239 observations just like any digital 64 00:02:44,229 --> 00:02:42,480 photograph land cover images are made up 65 00:02:46,710 --> 00:02:44,239 of a series of pixels to show what 66 00:02:48,309 --> 00:02:46,720 covers the earth a pixel or picture 67 00:02:50,390 --> 00:02:48,319 elements is the smallest unit of a 68 00:02:52,309 --> 00:02:50,400 digital image when combined with 69 00:02:54,229 --> 00:02:52,319 thousands of other pixels 70 00:02:56,470 --> 00:02:54,239 a picture is formed 71 00:02:57,830 --> 00:02:56,480 each pixel color shown represents a land 72 00:02:59,589 --> 00:02:57,840 cover type 73 00:03:01,509 --> 00:02:59,599 it's from these pixels where ground 74 00:03:03,350 --> 00:03:01,519 verification or ground truthing come 75 00:03:05,589 --> 00:03:03,360 into play 76 00:03:07,910 --> 00:03:05,599 you see depending on what satellite is 77 00:03:11,670 --> 00:03:07,920 taking images a pixel can cover roughly 78 00:03:13,670 --> 00:03:11,680 an area 30 to 500 meters squared 79 00:03:15,750 --> 00:03:13,680 for imagery captured by landsat a pixel 80 00:03:18,630 --> 00:03:15,760 is 30 meters squared or about the size 81 00:03:21,190 --> 00:03:18,640 of a baseball diamond 82 00:03:25,910 --> 00:03:21,200 however part of the pixel showing forest 83 00:03:30,149 --> 00:03:28,229 by taking land cover observations 84 00:03:31,750 --> 00:03:30,159 citizen scientists can help answer these 85 00:03:33,670 --> 00:03:31,760 questions when it comes to land cover 86 00:03:36,070 --> 00:03:33,680 maps 87 00:03:38,789 --> 00:03:36,080 so why are these land cover observations 88 00:03:38,799 --> 00:03:42,789 why are they taken in the first place 89 00:03:47,190 --> 00:03:44,630 we also are looking at how these 90 00:03:49,830 --> 00:03:47,200 components are changing over time so 91 00:03:53,030 --> 00:03:49,840 deforestation in the amazon or across 92 00:03:55,110 --> 00:03:53,040 the world our city is expanding 93 00:03:56,869 --> 00:03:55,120 a lot of different things to study and 94 00:03:59,670 --> 00:03:56,879 and really the view from space is the 95 00:04:02,550 --> 00:03:59,680 way that we do it here in nasa we have 96 00:04:04,710 --> 00:04:02,560 big supercomputers that simulate 97 00:04:06,789 --> 00:04:04,720 the physics of the atmosphere and the 98 00:04:08,390 --> 00:04:06,799 land the interaction between the earth's 99 00:04:10,550 --> 00:04:08,400 systems 100 00:04:13,350 --> 00:04:10,560 it's important to have that 101 00:04:15,190 --> 00:04:13,360 you know the that land cover map it sets 102 00:04:17,189 --> 00:04:15,200 certain parameters 103 00:04:18,229 --> 00:04:17,199 those models can actually be used to 104 00:04:20,629 --> 00:04:18,239 look at 105 00:04:23,030 --> 00:04:20,639 current day conditions and weather so 106 00:04:24,150 --> 00:04:23,040 based on these current conditions 107 00:04:25,830 --> 00:04:24,160 what might 108 00:04:28,629 --> 00:04:25,840 the earth look like 109 00:04:30,790 --> 00:04:28,639 50 or 100 years from now 110 00:04:32,629 --> 00:04:30,800 there's an element of 111 00:04:35,030 --> 00:04:32,639 understanding 112 00:04:36,550 --> 00:04:35,040 but then also being able to predict 113 00:04:38,790 --> 00:04:36,560 into the future 114 00:04:41,510 --> 00:04:38,800 you know what that might be like what 115 00:04:43,350 --> 00:04:41,520 what these changes may mean for us 116 00:04:44,870 --> 00:04:43,360 each point shown here represents a real 117 00:04:46,390 --> 00:04:44,880 world measurement of environmental 118 00:04:47,990 --> 00:04:46,400 conditions 119 00:04:49,670 --> 00:04:48,000 scientists use computer models to fill 120 00:04:51,189 --> 00:04:49,680 in information where measurements may 121 00:04:53,189 --> 00:04:51,199 not exist 122 00:04:55,110 --> 00:04:53,199 by verifying the satellite imagery and 123 00:04:56,710 --> 00:04:55,120 using the data for these models 124 00:04:59,189 --> 00:04:56,720 scientists can predict changes in our 125 00:05:00,870 --> 00:04:59,199 environment more accurately 126 00:05:02,710 --> 00:05:00,880 one of these scientists using land cover 127 00:05:04,790 --> 00:05:02,720 maps to track urbanization as part of 128 00:05:06,710 --> 00:05:04,800 her work is dr amita mehta of nasa's 129 00:05:10,310 --> 00:05:06,720 goddard space flight center 130 00:05:12,870 --> 00:05:10,320 so urbanization changes terrain as well 131 00:05:16,230 --> 00:05:12,880 as characteristics of the surface itself 132 00:05:18,790 --> 00:05:16,240 and so impervious surface is what we 133 00:05:20,469 --> 00:05:18,800 look at when we are monitoring flooding 134 00:05:22,310 --> 00:05:20,479 when there are say parking lots or 135 00:05:24,870 --> 00:05:22,320 cement and concrete surfaces they 136 00:05:26,469 --> 00:05:24,880 increase so previously if it was a 137 00:05:28,310 --> 00:05:26,479 farmland or 138 00:05:30,550 --> 00:05:28,320 something which was not built 139 00:05:33,189 --> 00:05:30,560 and if that is built now 140 00:05:36,310 --> 00:05:33,199 that water previously that could go or 141 00:05:38,950 --> 00:05:36,320 percolate in the soil and in the 142 00:05:40,469 --> 00:05:38,960 ground now cannot go in and it stays 143 00:05:43,430 --> 00:05:40,479 there 144 00:05:44,710 --> 00:05:43,440 monitoring helps you to plan for it 145 00:05:47,110 --> 00:05:44,720 if you see 146 00:05:48,710 --> 00:05:47,120 land cover changing even then you know 147 00:05:51,590 --> 00:05:48,720 that you know how water is going to flow 148 00:05:55,029 --> 00:05:51,600 in that region might change if you have 149 00:05:58,230 --> 00:05:55,039 to send rescue out or to plan for relief 150 00:05:59,510 --> 00:05:58,240 activities then if you know land cover 151 00:06:02,550 --> 00:05:59,520 then you know 152 00:06:04,710 --> 00:06:02,560 where there might be help needed 153 00:06:06,790 --> 00:06:04,720 by using land cover maps and models that 154 00:06:08,309 --> 00:06:06,800 reflect changes over time 155 00:06:13,749 --> 00:06:08,319 scientists can predict where flooding 156 00:06:17,270 --> 00:06:15,670 with a changing climate these 157 00:06:19,029 --> 00:06:17,280 predictions from models and land cover 158 00:06:21,029 --> 00:06:19,039 maps can help scientists better 159 00:06:24,150 --> 00:06:21,039 understand these changes and help 160 00:06:26,550 --> 00:06:24,160 communities prepare for them 161 00:06:29,430 --> 00:06:26,560 but perhaps a more important reason as 162 00:06:31,510 --> 00:06:29,440 to why take land cover observations is 163 00:06:33,909 --> 00:06:31,520 you get to participate in a community of 164 00:06:35,749 --> 00:06:33,919 scientists citizen scientists and 165 00:06:38,230 --> 00:06:35,759 students 166 00:06:40,070 --> 00:06:38,240 so it's a very important component that 167 00:06:42,469 --> 00:06:40,080 the citizen science and students of the 168 00:06:43,749 --> 00:06:42,479 globe program and globe observer can 169 00:06:46,070 --> 00:06:43,759 contribute to 170 00:06:47,990 --> 00:06:46,080 is by really giving us 171 00:06:49,189 --> 00:06:48,000 the information on the ground of what 172 00:06:51,430 --> 00:06:49,199 they're seeing 173 00:06:53,830 --> 00:06:51,440 around them and in front of them and we 174 00:06:55,909 --> 00:06:53,840 hope over time as well how maybe some of 175 00:06:58,710 --> 00:06:55,919 these things are changing because those 176 00:07:02,309 --> 00:06:58,720 would be very valuable for science 177 00:07:04,790 --> 00:07:02,319 i saw the value of having information 178 00:07:06,790 --> 00:07:04,800 before a hazard happens because once 179 00:07:09,909 --> 00:07:06,800 that fire went through an area we could 180 00:07:11,830 --> 00:07:09,919 never recreate that data 181 00:07:14,150 --> 00:07:11,840 this is all important for us to share 182 00:07:16,390 --> 00:07:14,160 and put together because that's how we 183 00:07:19,029 --> 00:07:16,400 understand earth as a system 184 00:07:21,909 --> 00:07:19,039 all of these things end up affecting 185 00:07:23,990 --> 00:07:21,919 where we live why we live where we do 186 00:07:26,150 --> 00:07:24,000 and why we make some of the choices that 187 00:07:28,150 --> 00:07:26,160 we do 188 00:07:31,029 --> 00:07:28,160 to learn more about globe observer check 189 00:07:32,469 --> 00:07:31,039 out the website at observer.globe.gov 190 00:07:34,650 --> 00:07:32,479 and download the app to start taking