1 00:00:02,051 --> 00:00:03,977 Hello Girl Scouts and troop leaders! 2 00:00:04,019 --> 00:00:11,094 We at GLOBE are very excited that you have chosen to use the GLOBE Observer app to work on your Think Like a Citizen Scientist Journey. 3 00:00:11,094 --> 00:00:17,500 This video can be used as a plug and play (with pauses for activities, so pay attention and pause the video while you work). 4 00:00:18,002 --> 00:00:25,748 Alternatively, troop leaders, service unit or council volunteers, can use this video as an example of how you might run your own program. 5 00:00:26,250 --> 00:00:30,897 However you choose to use this video, enjoy your Journey as you learn to Think Like a Citizen Scientist. 6 00:00:31,777 --> 00:00:37,052 Welcome to the first step in being a critical part of a growing citizen science project. 7 00:00:37,052 --> 00:00:41,155 Today you will learn about what it means to Think Like a Citizen Scientist, 8 00:00:41,155 --> 00:00:44,127 learn about the Land Cover Tool on the GLOBE Observer app 9 00:00:44,211 --> 00:00:47,184 and practice identifying different types of Land Cover. 10 00:00:47,435 --> 00:00:50,701 But first let me tell you about GLOBE and GLOBE Observer. 11 00:00:50,952 --> 00:00:53,924 GLOBE is an international science and education program 12 00:00:54,301 --> 00:01:01,712 that provides students and the public worldwide with the opportunity to participate in data collection and the scientific process 13 00:01:02,423 --> 00:01:06,819 and contribute meaningfully to our understanding of the Earth system and global environment. 14 00:01:07,196 --> 00:01:10,881 GLOBE Observer app is the data entry tool that allows citizen scientists 15 00:01:11,257 --> 00:01:14,230 to enter their data and share observations. 16 00:01:14,272 --> 00:01:16,700 GLOBE Observer is part of GLOBE. 17 00:01:17,537 --> 00:01:20,761 Okay, speaking of the Think Like a Citizen Scientist Journey, 18 00:01:20,761 --> 00:01:25,032 learning about what it means to observe is the first step in thinking like a citizen scientist. 19 00:01:25,576 --> 00:01:28,590 Let’s get started by practicing our observation skills. 20 00:01:29,721 --> 00:01:34,242 I’m going to show you a satellite image and I’m going to ask you to make observations about it. 21 00:01:34,494 --> 00:01:39,685 When we observe, we use our senses (hearing, smell, touch, sight, and taste). 22 00:01:39,685 --> 00:01:43,997 Since we can’t really taste, smell, hear, or touch this satellite image, 23 00:01:43,997 --> 00:01:45,756 we are going to use sight. 24 00:01:47,347 --> 00:01:51,450 Some possible questions to help you with your observations could be: 25 00:01:51,450 --> 00:01:53,711 What do you notice about the satellite image? 26 00:01:53,711 --> 00:01:55,301 What colors do you see? 27 00:01:55,678 --> 00:01:57,897 What recognizable features do you see? 28 00:01:58,442 --> 00:02:00,409 When was this image taken? 29 00:02:00,912 --> 00:02:03,047 What satellite collected the data? 30 00:02:04,010 --> 00:02:08,950 You can write down any observations you made in your science journal or on a piece of scratch paper. 31 00:02:09,411 --> 00:02:12,216 Observations are anything that you notice with your senses, 32 00:02:12,216 --> 00:02:16,528 so today, you probably won’t notice any tastes, touches, or smells, 33 00:02:16,528 --> 00:02:20,003 but I bet you will be able to see some cool observations 34 00:02:20,296 --> 00:02:23,897 Leaders, once your Girl Scouts have finished examining their satellite images 35 00:02:23,897 --> 00:02:25,655 and noting their observations, 36 00:02:25,823 --> 00:02:28,167 ask them to share their observations and discuss. 37 00:02:28,670 --> 00:02:30,344 Pause the video and discuss. 38 00:02:33,191 --> 00:02:35,913 This satellite image has a lot of cool things going on. 39 00:02:36,541 --> 00:02:40,392 On the left you can see that there are clouds covering the ocean. 40 00:02:41,104 --> 00:02:45,626 And on the right you can see green as trees cover the landscape. 41 00:02:46,128 --> 00:02:49,184 Even further to the right, the image looks brown. 42 00:02:49,938 --> 00:02:52,911 This is where there is barren ground and little vegetation. 43 00:02:53,874 --> 00:03:01,284 This satellite image is of the Oregon and Washington coastline and interior. 44 00:03:01,577 --> 00:03:05,345 You can see little dots of white right along the margin 45 00:03:05,345 --> 00:03:08,025 of the green and brown landscape. 46 00:03:08,527 --> 00:03:10,537 Those are the Cascade Mountains. 47 00:03:11,207 --> 00:03:15,979 On the center top there is a little area that is brown and gray. 48 00:03:16,356 --> 00:03:19,538 That is the city of Portland, Oregon. 49 00:03:20,166 --> 00:03:25,860 And there near the bottom of the image is a cloud of smoke 50 00:03:25,860 --> 00:03:27,493 from a wildfire. 51 00:03:27,870 --> 00:03:33,480 The smoke was from the Bootleg Fire, which was happening in July of 2021. 52 00:03:33,522 --> 00:03:37,248 I bet you made some really great observations. 53 00:03:37,708 --> 00:03:41,518 But what does this have to do with Thinking Like a Citizen Scientist? 54 00:03:42,146 --> 00:03:45,119 Let me ask you, what do scientists do? 55 00:03:46,333 --> 00:03:49,306 Pause the video and discuss what a scientist does. 56 00:03:50,310 --> 00:03:54,665 I bet you had a great discussion on what it means to be a scientist. 57 00:03:54,665 --> 00:03:58,809 There are lots of different types of scientists out there, 58 00:03:58,851 --> 00:04:01,824 but one thing they all have in common in their research 59 00:04:01,824 --> 00:04:05,550 is that scientists rely on the scientific method to learn new things. 60 00:04:06,346 --> 00:04:11,956 You are going to be citizen scientists, where you use the scientific method to help gather data for NASA scientists 61 00:04:11,956 --> 00:04:17,566 and other researchers including students or scouts like you. 62 00:04:17,608 --> 00:04:21,292 The first part of the scientific method is to observe. 63 00:04:21,711 --> 00:04:24,809 You all did a great job of observing the satellite image. 64 00:04:25,521 --> 00:04:31,215 The next part of the scientific method is to create a question and make a hypothesis, 65 00:04:31,508 --> 00:04:36,071 which is a fancy word for an answer to you question based on your observations. 66 00:04:36,908 --> 00:04:41,053 Let’s look at this image: and make a question based on our observations. 67 00:04:41,095 --> 00:04:45,952 You can come up with your own question or you can use the one that I’ll provide on the next slide. 68 00:04:47,082 --> 00:04:49,259 Pause the video and discuss. 69 00:04:56,460 --> 00:05:02,322 Our question could be, “What is located where there are clusters of white pixels?” 70 00:05:02,364 --> 00:05:05,671 The hypothesis is your answer to that question. 71 00:05:05,922 --> 00:05:09,523 The white pixels indicate that there are a lot of lights, 72 00:05:10,109 --> 00:05:12,830 so I think that there are more lights in cities. 73 00:05:13,417 --> 00:05:16,389 The clusters of white pixels are where there are cities. 74 00:05:17,227 --> 00:05:21,371 But, how do scientists know if their hypothesis is correct? 75 00:05:21,832 --> 00:05:24,176 They have to collect and analyze data. 76 00:05:24,679 --> 00:05:30,750 The more data they have the better their results will be because it helps filter out some of the outliers 77 00:05:30,791 --> 00:05:33,764 (the mistakes, errors, or oddball data). 78 00:05:33,806 --> 00:05:37,825 Kind of like if I was measuring favorite Girl Scout cookies. 79 00:05:37,867 --> 00:05:41,384 The more people I sell cookies to, the better my data. 80 00:05:41,509 --> 00:05:47,120 For example, here is a pie chart showing real data from my troop sales. 81 00:05:47,455 --> 00:05:54,530 This Girl Scout made a single sale to one family (who love Samoas and don't like Thin Mints). 82 00:05:54,530 --> 00:06:00,810 But are Samoas the most popular cookie sold by Girl Scouts nationwide? 83 00:06:00,894 --> 00:06:05,457 With this data my hypothesis should be yes! 84 00:06:05,457 --> 00:06:09,895 But is it? How could I get a better data set? 85 00:06:09,895 --> 00:06:16,468 I could collect more data. The pie chart on the right is the data for my entire troop’s sales. 86 00:06:16,510 --> 00:06:23,753 This is a much better data set because it has 1,559 packages of cookies sold, 87 00:06:24,465 --> 00:06:29,447 1,554 more boxes than my single sale. 88 00:06:29,447 --> 00:06:33,885 With this much data, I could look at which ones I sold the most of 89 00:06:34,220 --> 00:06:40,919 and be able to make a better conclusion to my hypothesis than if I’d only sold 1 or 2 boxes. 90 00:06:40,919 --> 00:06:47,701 The more data that is collected, the better. So are Samoas the most popular according to this data? 91 00:06:47,701 --> 00:06:54,568 No. Thin mints are. Your troop can do this same exercise with your troop sales. 92 00:06:54,568 --> 00:07:01,224 If you added your data to this data, we’d have an even better data set. 93 00:07:01,224 --> 00:07:07,630 In the night time satellite image, we were mostly right, but there are some outliers, 94 00:07:07,630 --> 00:07:14,789 For example, in North Dakota, there are bright spots where there are oil fields, but not cities. 95 00:07:14,789 --> 00:07:21,237 For NASA scientists, we rely on a lot of data. And this is where you can come in. 96 00:07:21,321 --> 00:07:25,256 You can be Citizen Scientists. 97 00:07:25,256 --> 00:07:30,615 These are data points taken by citizen scientists all over the world 98 00:07:30,615 --> 00:07:36,142 with GLOBE and GLOBE Observer and you can be part of the network of citizen scientists 99 00:07:36,142 --> 00:07:39,282 that are collecting and analyzing this data. 100 00:07:39,282 --> 00:07:43,636 Let’s learn about GLOBE Observer’s Land Cover Tool. 101 00:07:43,636 --> 00:07:46,608 [Music] GLOBE Observer presents: Land Cover Adopt a Pixel 102 00:07:46,692 --> 00:07:49,665 [Music] 103 00:07:51,088 --> 00:07:52,344 Land cover and land use are the foundations for critical science and social issues such as: 104 00:07:53,642 --> 00:07:54,689 Climate Change 105 00:07:55,400 --> 00:07:57,117 Food Production 106 00:07:57,368 --> 00:07:58,959 Human Health 107 00:08:00,592 --> 00:08:04,611 With the data, we can better analyze natural hazards like floods, fires, and landslides. 108 00:08:05,532 --> 00:08:08,505 Photograph the land. 109 00:08:10,891 --> 00:08:12,650 Classify land cover. 110 00:08:14,450 --> 00:08:16,460 Compare your observations to satellite data. 111 00:08:16,795 --> 00:08:19,767 Become a citizen scientist today, with GLOBE Observer. 112 00:08:19,767 --> 00:08:26,968 [Music] 113 00:08:26,968 --> 00:08:31,657 [Music Fades Out] GLOBE Observer. Download on the App Store or Get it On Google Play. 114 00:08:32,160 --> 00:08:37,016 Next, let’s watch this video to learn about the importance of land cover data 115 00:08:37,016 --> 00:08:41,747 and how your citizen science observations contribute to continuing land cover research. 116 00:08:41,789 --> 00:08:51,586 ~Sound of Helicopter and music in background~ 117 00:08:51,586 --> 00:08:57,154 Peder Nelson: My land cover career really started in 2002… 118 00:08:57,154 --> 00:08:59,331 …with the biggest wildfire in Oregon’s history. 119 00:08:59,331 --> 00:09:01,299 And that was the Biscuit Wildfire. 120 00:09:01,299 --> 00:09:04,272 I at the time was doing botany surveys. 121 00:09:04,272 --> 00:09:11,138 And looking for rare plants or rare mushrooms. And so I was spending a lot of time out on 122 00:09:11,138 --> 00:09:17,292 On the forest, looking at and taking photos and doing the documentation that a scientist or a land manager does. 123 00:09:17,292 --> 00:09:20,767 When that fire happened, it changed everything. 124 00:09:20,767 --> 00:09:28,136 Because we all had to react to this fire that was burning up some of the places that I had literally been the day before. 125 00:09:28,136 --> 00:09:31,695 And it was mapping what was there, and what was under threat. 126 00:09:31,695 --> 00:09:38,435 But it was also mapping the effects of the fire. We needed to find a way to look across five-hundred thousand acres. 127 00:09:38,435 --> 00:09:42,036 And the only way that we could really do that was satellite data. 128 00:09:42,036 --> 00:09:47,269 If we can’t get out and actually measure every single thing, what are we missing? 129 00:09:47,269 --> 00:09:53,214 And that’s where citizen scientist can actually come in and really help traditional scientists. To better understand 130 00:09:53,214 --> 00:09:58,699 What is happening around them. But also fill in these gaps. 131 00:09:58,699 --> 00:09:59,955 ~♪Music♪~ 132 00:09:59,955 --> 00:10:04,853 Narrator: The Global Learning and Observations to Benefit the Environment Program 133 00:10:04,853 --> 00:10:07,742 Is an international science and education program. 134 00:10:07,742 --> 00:10:13,478 It provides students and the public with the opportunity to participate in data collection and the scientific process. 135 00:10:13,478 --> 00:10:19,005 The GLOBE Observer App, is one of the opportunities allowing citizen scientists and students to take land cover 136 00:10:19,005 --> 00:10:24,657 Observations around the world and submit them to a larger database. 137 00:10:24,657 --> 00:10:28,132 But, what exactly is land cover? 138 00:10:28,132 --> 00:10:31,942 Doctor Eric Brown de Colstoun of NASA’s Goddard Space Flight Center explains 139 00:10:31,942 --> 00:10:36,505 Eric: Land cover is really the basic form of the landscape that we have around us. 140 00:10:36,505 --> 00:10:45,506 So, whether it’s forest or a desert. But it’s really one of the components of the landscape that we can study from space. 141 00:10:46,051 --> 00:10:50,614 Narrator: Doctor Peder Nelson is a scientist who uses land cover imagery in his research. 142 00:10:50,907 --> 00:10:55,973 Peder: I am a remote sensing scientist, who studies land cover across the globe. 143 00:10:56,559 --> 00:11:04,389 I use satellite imagery to make maps of land cover. And try to quantify what covers the Earth. 144 00:11:04,389 --> 00:11:11,464 Sometimes a satellite can’t see what’s happening underneath a tree canopy, or what’s happening underneath cloud cover. 145 00:11:11,464 --> 00:11:18,958 And so we really need people to go out there to take these photos and do these observations, to help fill in where a satellite can’t 146 00:11:18,958 --> 00:11:21,010 actually make some observations. 147 00:11:21,010 --> 00:11:22,978 Narrator: Just like any digital photograph 148 00:11:22,978 --> 00:11:27,080 Land cover images are made up of a series of pixels. To show what covers the Earth. 149 00:11:27,080 --> 00:11:31,267 A pixel, or picture element, is the smallest unit of a digital image. 150 00:11:31,267 --> 00:11:36,082 When combined with thousands of other pixels, a picture is formed. 151 00:11:36,082 --> 00:11:39,557 Each pixel color shown represents a land cover type. 152 00:11:39,557 --> 00:11:44,581 It’s from these pixels where ground verification, or ground-truthing, come into play. 153 00:11:44,581 --> 00:11:47,888 You see, depending on what satellite is taking images 154 00:11:47,888 --> 00:11:53,415 A pixel can cover roughly an area of thirty to five-hundred meters squared. 155 00:11:53,415 --> 00:12:00,030 For imagery captured by Landsat, a pixel is thirty meters squared. Or about the size of a baseball diamond. 156 00:12:00,030 --> 00:12:07,817 However, part of that pixel showing forest, might actually be water. Or shrubs. 157 00:12:07,817 --> 00:12:14,767 By taking land cover observations, citizen scientists can help answer these questions when it comes to land cover maps. 158 00:12:14,767 --> 00:12:20,419 Sooo, why are these land cover observations so important? 159 00:12:20,419 --> 00:12:24,438 Why are they taken in the first place? 160 00:12:24,438 --> 00:12:28,500 Eric: We also are looking at how these components are changing over time. 161 00:12:28,500 --> 00:12:34,570 So, deforestation in the Amazon or across the world. How are cities expanding? 162 00:12:34,570 --> 00:12:40,348 A lot of different things to study and really the view from space is the way we do it here at NASA. 163 00:12:40,348 --> 00:12:48,219 We have big supercomputers that simulate the physics of the atmosphere and the land. The interaction between the Earth’s 164 00:12:48,219 --> 00:12:49,559 Systems. 165 00:12:49,559 --> 00:12:56,969 It’s important to have that land cover map. It sets certain parameters. 166 00:12:56,969 --> 00:13:02,244 Those models can actually be used to look at current day conditions and weather. 167 00:13:02,244 --> 00:13:10,115 So based on these current conditions, what might the Earth look like fifty or a hundred years from now. 168 00:13:10,115 --> 00:13:19,996 There’s an element of understanding but then also being able to predict into the future, you know, what that might be like. 169 00:13:19,996 --> 00:13:23,094 What these changes may mean for us. 170 00:13:23,094 --> 00:13:27,951 Narrator: Each point shown here represents a real world measurement of environmental conditions. 171 00:13:27,951 --> 00:13:32,807 Scientists use computer models to fill in information where measurements may not exist. 172 00:13:32,807 --> 00:13:41,013 By verifying the satellite imagery and using the data for these models, scientists can predict changes in our environment more accurately. 173 00:13:41,013 --> 00:13:48,340 One of these scientists using land cover maps to track urbanization as part of her work is Doctor Amita Mehta of NASA’s Goddard Space Flight Center. 174 00:13:48,340 --> 00:13:54,327 Amita: So, urbanization changes terrain as well as characteristics of the surface itself. 175 00:13:54,327 --> 00:14:00,440 And so, impervious surfaces is what we look at when we are monitoring flooding. 176 00:14:00,440 --> 00:14:07,557 When there are, say, parking lots, cement and concrete surfaces increase. So previously, if it was farmland 177 00:14:07,557 --> 00:14:18,568 Or something which was not built, and if that is built now. That water previously that could go or percolate in the soil and in the ground 178 00:14:18,568 --> 00:14:22,001 now cannot go in and it stays there. 179 00:14:22,001 --> 00:14:24,974 Monitoring helps you to plan for it. 180 00:14:24,974 --> 00:14:32,845 If you see land cover changing, even then you know that how water’s going to flow in that region might change. 181 00:14:32,845 --> 00:14:41,009 If you have to send rescue out or you have to plan for relief activities, and if you know land cover, then you know 182 00:14:41,009 --> 00:14:44,568 Where there might be help needed. 183 00:14:44,568 --> 00:14:55,411 By using land cover maps and models that reflect changes over time, scientists can predict where flooding and other events may occur. 184 00:14:55,411 --> 00:15:02,487 With a changing climate, these predictions from models and land cover maps can help scientists better understand these changes. 185 00:15:02,487 --> 00:15:05,669 And help communities prepare for them. 186 00:15:05,669 --> 00:15:11,069 But, perhaps a more important reason as to why take land cover observations is 187 00:15:11,069 --> 00:15:17,308 You get to participate in a community of scientists, citizen scientists and students. 188 00:15:17,308 --> 00:15:23,965 Eric: So, it’s a very important component that the citizen science and students of the GLOBE Program and GLOBE Observer 189 00:15:23,965 --> 00:15:32,589 Can contribute to is by really giving us the information on the ground of what they’re seeing around them and in front of them. 190 00:15:32,589 --> 00:15:37,069 And we hope over time as well as how maybe some of these things are changing. 191 00:15:37,069 --> 00:15:40,418 Because those would be very valuable for science. 192 00:15:40,418 --> 00:15:45,861 Peder: I saw the value of having information before a hazard happens. 193 00:15:45,861 --> 00:15:51,471 Because once that fire went through an area, we can never recreate that data. 194 00:15:51,471 --> 00:15:57,919 This is all important for us to share and put together because that’s how we understand Earth as a system. 195 00:15:57,919 --> 00:16:07,799 All of these things end up affecting where we live, why we live where we do and why we make some of the choices that we do. 196 00:16:07,799 --> 00:16:12,614 Narrator: To learn more about GLOBE Observer, check out the website at observer.globe.gov 197 00:16:13,242 --> 00:16:17,889 And download the app to start taking your own observations today. 198 00:16:22,704 --> 00:16:25,132 Now it’s your turn. 199 00:16:25,132 --> 00:16:31,915 Let’s try analyzing and classifying some land cover data collected by GLOBE Observers. 200 00:16:31,915 --> 00:16:36,939 Let’s play the Land Cover Classification Challenge. 201 00:16:36,939 --> 00:16:44,684 We are going to use the Land Cover Type Quick Reference Guide to identify and classify different types of land cover. 202 00:16:44,726 --> 00:16:51,090 You can keep watching the video and go through the Land Cover Classification Presentation 203 00:16:51,090 --> 00:16:56,909 or you can do this activity as a troop, logging the different types of Land Cover that you see. 204 00:16:56,951 --> 00:17:01,640 Each slide will show you a photo from a GLOBE Observer Land Cover Observation. 205 00:17:01,640 --> 00:17:08,088 Then, use the "Land Cover Type Quick Reference Guide" to identify the types of land cover in the photos. 206 00:17:08,088 --> 00:17:11,396 Next, write down the answers on a piece of paper. 207 00:17:11,396 --> 00:17:17,299 After you've made your best guess to all 9 photos, continue watching the video to see how many you got right. 208 00:18:14,405 --> 00:18:17,671 Thanks for playing! Let’s find out how well you did. 209 00:18:17,671 --> 00:18:29,394 This photo is of a barren landscape. Barren means that there isn’t much vegetation. We can see bare rock, glaciers, and soil 210 00:18:29,394 --> 00:18:37,558 In this photo of a road in a forest we have two different types of land cover. Urban and Trees. 211 00:18:37,558 --> 00:18:43,922 The trees are deciduous broadleaf, because most of them are missing their leaves. Deciduous means that the leaves 212 00:18:43,922 --> 00:18:46,852 (or needles fall off the trees in the Fall). 213 00:18:46,852 --> 00:18:55,477 If you were in this forest, you could use this opportunity to use the GLOBE Observer Trees tool, and measure the tree height of one of these trees. 214 00:18:55,477 --> 00:19:05,107 It is also an urban land cover because there is a road that cuts through the forest. The road is an urban land cover, while the forest is a tree land cover. 215 00:19:06,195 --> 00:19:12,224 Look at all that grass! This is a grassland. And the grass is medium in length. 216 00:19:12,266 --> 00:19:20,221 If it was tall the grass would have to be over 6.5 feet high. That’s taller than most people I know! 217 00:19:20,221 --> 00:19:33,409 This is a picture of a forest with both trees and shrubs. The trees are primarily needle leaf evergreens and there are both short and tall shrubs. 218 00:19:34,204 --> 00:19:37,888 This photo was taken from the Pacific Coast. 219 00:19:37,888 --> 00:19:45,592 That is open water, since the Pacific Ocean is filled with saltwater, this is a marine open water land cover. 220 00:19:46,346 --> 00:19:55,138 This is a photo from a river. This would be a freshwater open water land cover type because the river is filled with freshwater, not saltwater. 221 00:19:55,138 --> 00:20:02,171 Also, there are trees in the background, this is a wetland and specifically a river wetland. 222 00:20:03,051 --> 00:20:09,163 This is a really dry landscape, but there are a few shrubs scattered among the barren dirt. 223 00:20:09,205 --> 00:20:15,527 These shrubs would be classified as short, since they are under 6.5 feet tall. 224 00:20:16,532 --> 00:20:26,161 This photo shows a city, or an urban area. We can see that there are apartments (residential), businesses (commercial) and roads. 225 00:20:26,454 --> 00:20:31,897 This photo shows all the subcategories in the urban land cover type. 226 00:20:32,609 --> 00:20:38,219 This looks like an outfield of a baseball field. The grass has been mowed and cared for. 227 00:20:38,219 --> 00:20:42,406 It wouldn’t look like this if people didn’t plant, water and mow this field. 228 00:20:42,406 --> 00:20:47,681 Because humans grow the vegetation to look like this, it is considered cultivated. 229 00:20:47,681 --> 00:20:59,571 Farms, pastures, or parks are cultivated land cover types. Since the field is covered in grass, it is specifically a cultivated grass land cover type. 230 00:20:59,613 --> 00:21:07,317 Congratulations! How many did you get right? You can pause the video and discuss or you can continue on 231 00:21:07,484 --> 00:21:11,838 and learn about how to use the Land Cover Tool in the GLOBE Observer app. 232 00:21:11,838 --> 00:21:21,928 GLOBE Land Cover: Getting Started 233 00:21:21,928 --> 00:21:29,171 Open the GLOBE Observer App and select Land Cover. 234 00:21:29,171 --> 00:21:37,377 Verify the date, time and your location. 235 00:21:37,377 --> 00:21:45,164 Observe a 100 meter x 100 meter area. This is about the length of a soccer field. 236 00:21:45,164 --> 00:21:59,609 Report the surface conditions. 237 00:21:59,609 --> 00:22:06,014 Capture Your Surroundings: Tilt your phone to capture 50 meters of land in each direction. 238 00:22:06,014 --> 00:22:11,457 Submit photos now or classify the land cover. 239 00:22:11,457 --> 00:22:15,979 Classify the Land Cover: Determine what type of land cover is in each photo. 240 00:22:15,979 --> 00:22:18,993 Tap on the “i” icon to see a description of the land cover types. 241 00:22:18,993 --> 00:22:23,222 Tap the photo to see a large version of it. 242 00:22:23,222 --> 00:22:41,183 Estimate how much of each type you see in the photo. 243 00:22:41,183 --> 00:22:52,864 Percentages may total over 100% especially if trees are growing over another land cover type, like grass or shrubs. 244 00:22:52,864 --> 00:22:58,139 Need help with your observations? Select the question-mark on the bottom right corner. 245 00:22:58,139 --> 00:23:02,702 When you’re done, send your observations to GLOBE. 246 00:23:02,702 --> 00:23:09,317 Compare with Satellite Data: Select “My Map” to compare your observations to satellite data. 247 00:23:09,317 --> 00:23:20,454 If your observation is different from NASA’s, tap “Report a Difference.” 248 00:23:20,454 --> 00:23:38,708 Return to the same location to record changes over time and contribute to a global database of observations. 249 00:23:38,708 --> 00:23:39,504 GLOBE Observer 250 00:23:39,504 --> 00:23:41,722 observer.globe.gov 251 00:23:41,722 --> 00:23:44,737 globe.gov 252 00:23:44,737 --> 00:23:54,701 EXPLORE EARTH 253 00:23:57,506 --> 00:24:04,163 If you want to get started as a GLOBE Observer, ask your troop leader to register your troop through SciStarter, 254 00:24:04,163 --> 00:24:07,387 then send you the link to set up your accounts. 255 00:24:08,182 --> 00:24:14,672 Once you have a troop Scistarter account, you will choose which citizen science opportunity interests you 256 00:24:14,672 --> 00:24:21,245 There are a lot of different citizen science projects (including others with NASA) and others with GLOBE Observer: 257 00:24:21,245 --> 00:24:25,222 Trees, Land Cover, Clouds, and Mosquito Habitat Mapper. 258 00:24:25,348 --> 00:24:32,800 Then you need to download the app. Register as a GLOBE observer. Then collect your data. 259 00:24:32,968 --> 00:24:39,541 So now you’ve learned to Think Like a Citizen Scientist by observing, collecting and analyzing data. 260 00:24:39,541 --> 00:24:43,644 The next step is to collect and analyze your own data by using the app. 261 00:24:43,644 --> 00:24:46,868 Then, consider how you might use your data to take action. 262 00:24:46,868 --> 00:24:50,636 What kind of “take action” projects could you think of doing? 263 00:24:51,306 --> 00:25:00,433 You could adopt a place and take observations on a schedule. While you are there, take care of it. Pick up litter or do some gardening. 264 00:25:00,433 --> 00:25:05,415 You could create a program to teach other Girl Scouts about a place that is important to you. 265 00:25:05,750 --> 00:25:10,816 You could also start a hiking group and take observations as part of your walk. 266 00:25:11,569 --> 00:25:15,254 You can also document changes with scheduled observations. 267 00:25:15,254 --> 00:25:17,389 If you know of a place that is undergoing changes 268 00:25:17,389 --> 00:25:23,920 like a new building being built, a development or a place where regrowth is happening after a landslide or forest fire, 269 00:25:23,920 --> 00:25:26,683 but of course only after it is safe to do so, 270 00:25:26,683 --> 00:25:33,340 monitor that change with scheduled observations or take seasonal observations and compare the changes that take place. 271 00:25:34,178 --> 00:25:40,667 And finally you could create a team of your troop, council, or service unit and take observations together. 272 00:25:41,337 --> 00:25:48,580 What I love about Girl Scouts is that you all leave the world a better place. I for one am really excited that you are leading the future for us. 273 00:25:49,836 --> 00:25:52,138 We would also love for you to share your Take Action projects inspired by GLOBE Observer.