1 00:00:00,000 --> 00:00:18,400 On this episode of NASA Connect, you'll learn about the science concepts of remote sensing, 2 00:00:18,400 --> 00:00:23,920 see how it's being used by archaeologists, and apply your math skills with a remote sensing 3 00:00:23,920 --> 00:00:25,520 activity. 4 00:00:25,520 --> 00:00:32,520 All on NASA Connect, Landscape Archaeology. 5 00:00:56,520 --> 00:01:04,520 Hi, I'm Jennifer Pooley, and welcome to NASA Connect, the show that connects you to math, 6 00:01:04,520 --> 00:01:07,520 science, technology, and NASA. 7 00:01:07,520 --> 00:01:12,520 Right now, we are at an archaeological dig site in historic Jamestown, Virginia. 8 00:01:12,520 --> 00:01:16,520 Imagine being a settler in Jamestown in 1607. 9 00:01:16,520 --> 00:01:21,520 You and your family gave up the comfort of the life you knew in England to set off on 10 00:01:21,520 --> 00:01:24,520 a perilous transatlantic journey in a small boat. 11 00:01:24,520 --> 00:01:29,520 Now, you and the others in your party were headed for a place you knew little about and 12 00:01:29,520 --> 00:01:31,520 would need to find a way to survive. 13 00:01:31,520 --> 00:01:38,520 What if you had a way to remotely gather information about the region before you began the journey? 14 00:01:38,520 --> 00:01:40,520 Would this have influenced your decision to go? 15 00:01:40,520 --> 00:01:45,520 Could the information better prepare you to face the living conditions? 16 00:01:45,520 --> 00:01:50,520 This is not unlike the journey we envision for human settlement on Mars. 17 00:01:50,520 --> 00:01:54,520 What can we learn from the past that will help us tomorrow? 18 00:01:54,520 --> 00:02:01,520 On today's show, you'll learn how researchers observe the Earth from space in ways that 19 00:02:01,520 --> 00:02:03,520 we can't do here on its surface. 20 00:02:03,520 --> 00:02:08,520 You'll see how the data they collect from satellites is being used to help us make better 21 00:02:08,520 --> 00:02:14,520 use of our environment today by looking at how yesterday's civilizations used their precious 22 00:02:14,520 --> 00:02:15,520 resources. 23 00:02:15,520 --> 00:02:20,520 During the course of this program, your teacher will stop the tape and ask you several inquiry-based 24 00:02:20,520 --> 00:02:21,520 questions. 25 00:02:21,520 --> 00:02:25,520 Now, this is your time to explore and become critical thinkers. 26 00:02:25,520 --> 00:02:30,520 Just as archaeologists in Jamestown are looking to the past for answers to the future, so 27 00:02:30,520 --> 00:02:35,520 is a dedicated team of researchers in the rainforest in Guatemala. 28 00:02:35,520 --> 00:02:41,520 Imagine you and your family are farmers in the northern quarter of Guatemala. 29 00:02:41,520 --> 00:02:45,520 Your family is using the land in the same way as your ancestors have for thousands of 30 00:02:45,520 --> 00:02:46,520 years. 31 00:02:46,520 --> 00:02:51,520 Now imagine that a group of scientists warn you that the type of farming you are practicing 32 00:02:51,520 --> 00:02:56,520 could jeopardize your family's way of life and the future of the Patan rainforest that 33 00:02:56,520 --> 00:02:57,520 you live in. 34 00:02:57,520 --> 00:03:01,520 You could even be changing the Earth's climate for the worse. 35 00:03:01,520 --> 00:03:06,520 While you have noticed few changes in your immediate surroundings, scientists tell you 36 00:03:06,520 --> 00:03:11,520 they have been observing this region from space and have evidence you are making the 37 00:03:11,520 --> 00:03:16,520 same dangerous mistakes in your environment that your ancestors did. 38 00:03:16,520 --> 00:03:17,520 What would you do? 39 00:03:17,520 --> 00:03:21,520 You know, this is a real problem facing the people of Guatemala today. 40 00:03:21,520 --> 00:03:27,520 So, on today's show, we will look at one of the ways NASA is working to preserve our 41 00:03:27,520 --> 00:03:30,520 environment by learning lessons from the past. 42 00:03:30,520 --> 00:03:33,520 But first, let's put on our thinking caps. 43 00:03:33,520 --> 00:03:38,520 Students working in groups take a few minutes to answer the following questions. 44 00:03:38,520 --> 00:03:41,520 What do you think remote sensing means? 45 00:03:41,520 --> 00:03:46,520 What are some of the ways that you collect information about the world around you? 46 00:03:46,520 --> 00:03:53,520 Choose an object in the class and describe it using as many details as possible without 47 00:03:53,520 --> 00:03:56,520 getting close to it or touching it. 48 00:03:56,520 --> 00:04:00,520 It's now time to pause the program and answer the questions. 49 00:04:01,520 --> 00:04:04,520 So, how did you do with the questions? 50 00:04:04,520 --> 00:04:06,520 Great job, everyone. 51 00:04:06,520 --> 00:04:08,520 Have you ever heard of the term remote sensing? 52 00:04:08,520 --> 00:04:13,520 Well, it's a rather simple activity that we do every day of our lives. 53 00:04:13,520 --> 00:04:19,520 In fact, as you're watching this program right now, you're actively engaged in remote sensing. 54 00:04:19,520 --> 00:04:23,520 Coming from the screen is energy in the form of visible light. 55 00:04:23,520 --> 00:04:28,520 The radiated light is detected by sensors in our eyes, which collect data about the 56 00:04:28,520 --> 00:04:31,520 energy and transmit that information to the brain. 57 00:04:31,520 --> 00:04:36,520 In the brain, those data are interpreted and meaning is attached to it. 58 00:04:36,520 --> 00:04:39,520 We experience such sensations as heat. 59 00:04:39,520 --> 00:04:42,520 We react to chemical signals from food. 60 00:04:42,520 --> 00:04:48,520 We understand the textures of different surfaces all without coming in direct contact. 61 00:04:48,520 --> 00:04:51,520 Now, this can be called remote sensing. 62 00:04:51,520 --> 00:04:56,520 Now, at NASA, remote sensing has a slightly more technical definition. 63 00:04:56,520 --> 00:05:02,520 So, let's talk to an expert in that field, Dan Irwin at NASA Marshall Space Flight Center. 64 00:05:06,520 --> 00:05:07,520 Thanks, Jennifer. 65 00:05:07,520 --> 00:05:10,520 Remote sensing is gathering information about the Earth from a distance. 66 00:05:10,520 --> 00:05:14,520 Information can be collected about the land using special cameras or instruments 67 00:05:14,520 --> 00:05:17,520 located just a few feet above the Earth's surface, 68 00:05:17,520 --> 00:05:21,520 or an airplane flying hundreds to thousands of feet above the ground, 69 00:05:21,520 --> 00:05:24,520 or even from a satellite orbiting hundreds of miles above the Earth. 70 00:05:24,520 --> 00:05:29,520 Now that you know what remote sensing means, let's talk about terrestrial remote sensing. 71 00:05:29,520 --> 00:05:31,520 Terrestrial refers to the Earth. 72 00:05:31,520 --> 00:05:36,520 So, terrestrial remote sensing means gathering information about the Earth from a distance. 73 00:05:36,520 --> 00:05:39,520 This involves the detection and measuring of electromagnetic energy 74 00:05:39,520 --> 00:05:43,520 coming from different objects made of various materials. 75 00:05:43,520 --> 00:05:45,520 The spectrum of sunlight reflected by the Earth's surface 76 00:05:45,520 --> 00:05:49,520 contains information about the materials it is made of. 77 00:05:49,520 --> 00:05:54,520 Since sand, rocks, crops, and dense vegetation each have different temperatures 78 00:05:54,520 --> 00:05:56,520 and reflect light in different ways, 79 00:05:56,520 --> 00:06:00,520 sensors can reveal clues about past human activities, such as agriculture, 80 00:06:00,520 --> 00:06:03,520 that our eyes may not be able to detect. 81 00:06:03,520 --> 00:06:05,520 Most of the universe is invisible to humans. 82 00:06:05,520 --> 00:06:08,520 In fact, the only part that we can see with our detectors, or our eyes, 83 00:06:08,520 --> 00:06:13,520 is part of the electromagnetic spectrum known as visible light. 84 00:06:13,520 --> 00:06:17,520 If the entire electromagnetic spectrum were scaled to the size of the Earth's circumference, 85 00:06:17,520 --> 00:06:21,520 the portion of visible light would be as wide as a pencil. 86 00:06:21,520 --> 00:06:24,520 But scientists have been able to build sensors 87 00:06:24,520 --> 00:06:27,520 that can see portions of the electromagnetic spectrum that we cannot. 88 00:06:27,520 --> 00:06:30,520 For example, Norbert is standing next to a hot stove. 89 00:06:30,520 --> 00:06:33,520 He cannot see the infrared energy coming from it, 90 00:06:33,520 --> 00:06:37,520 but the sensors in his skin send data to his brain that's interpreted as heat. 91 00:06:37,520 --> 00:06:39,520 He knows to move away. 92 00:06:39,520 --> 00:06:42,520 We know to protect our skin from ultraviolet radiation. 93 00:06:42,520 --> 00:06:46,520 While we cannot see this energy with our eyes, we can see its effects on our skin. 94 00:06:46,520 --> 00:06:49,520 So what is the electromagnetic spectrum? 95 00:06:49,520 --> 00:06:52,520 The electromagnetic spectrum is just a name that scientists give 96 00:06:52,520 --> 00:06:56,520 to a bunch of types of radiation when they want to talk about them as a group. 97 00:06:56,520 --> 00:07:00,520 Radiation is energy that travels and spreads out as it goes. 98 00:07:00,520 --> 00:07:02,520 Visible light that comes from a lamp in your house 99 00:07:02,520 --> 00:07:04,520 or radio waves that come from a radio station 100 00:07:04,520 --> 00:07:07,520 are two types of electromagnetic radiation. 101 00:07:07,520 --> 00:07:10,520 Other examples of electromagnetic radiation are microwaves, 102 00:07:10,520 --> 00:07:14,520 infrared and ultraviolet light, X-rays and gamma rays. 103 00:07:14,520 --> 00:07:19,520 Hotter, more energetic objects create higher energy radiation than cooler objects. 104 00:07:19,520 --> 00:07:23,520 Visible satellite images are similar to pictures a photographer might record 105 00:07:23,520 --> 00:07:28,520 in that they relay and display reflected light just as our eyes would see the scene. 106 00:07:28,520 --> 00:07:34,520 As long as light is available, land features like mountains, river courses, lakes, 107 00:07:34,520 --> 00:07:39,520 silt runoff from rivers into the sea, and coastlines are clearly visible. 108 00:07:39,520 --> 00:07:42,520 But what about the energy that we cannot see? 109 00:07:42,520 --> 00:07:45,520 Infrared images display gradients of temperature differences. 110 00:07:45,520 --> 00:07:48,520 Infrared sensors pick up data both day and night. 111 00:07:48,520 --> 00:07:51,520 They show the pattern of heat released from the earth. 112 00:07:51,520 --> 00:07:54,520 Heat-producing areas such as warm water currents or cities 113 00:07:54,520 --> 00:07:57,520 with heat-absorbing concrete and asphalt, 114 00:07:57,520 --> 00:08:00,520 and heat-producing cars, people and factories 115 00:08:00,520 --> 00:08:02,520 are bright spots on the infrared images. 116 00:08:02,520 --> 00:08:06,520 Archaeologists use data collected by sensors located on satellites 117 00:08:06,520 --> 00:08:10,520 to reveal clues about the past temperature and chemical composition 118 00:08:10,520 --> 00:08:15,520 to find potential agricultural and other areas of human occupation. 119 00:08:15,520 --> 00:08:21,520 For example, let's take a look at a satellite image of the Sahara Desert in Africa. 120 00:08:21,520 --> 00:08:24,520 Right now you're looking at an image in visible light 121 00:08:24,520 --> 00:08:27,520 as if you were in an airplane or a spacecraft looking out the window. 122 00:08:27,520 --> 00:08:32,520 A 50-kilometer-wide path from the Shuttle Imaging Radar mission over the Sahara 123 00:08:32,520 --> 00:08:35,520 is now shown superimposed on the previous image. 124 00:08:35,520 --> 00:08:39,520 The radar penetrated a few meters beneath the desert sand 125 00:08:39,520 --> 00:08:42,520 to reveal a prehistoric river system. 126 00:08:42,520 --> 00:08:45,520 Archaeologists have found artifacts in animal remains 127 00:08:45,520 --> 00:08:49,520 showing that this was once a moist and densely vegetated area. 128 00:08:49,520 --> 00:08:51,520 While each of these instruments creates a different image, 129 00:08:51,520 --> 00:08:54,520 imagine if they could be combined to give scientists and researchers 130 00:08:54,520 --> 00:08:57,520 new information about a particular area. 131 00:08:57,520 --> 00:08:59,520 That's what GIS does. 132 00:08:59,520 --> 00:09:02,520 GIS stands for Geographic Information System. 133 00:09:02,520 --> 00:09:07,520 GIS is a system of computer software, computer hardware, data, 134 00:09:07,520 --> 00:09:10,520 and humans that help manipulate, analyze, and present information 135 00:09:10,520 --> 00:09:13,520 about a specific geographic location. 136 00:09:13,520 --> 00:09:16,520 The human part of the system is the thinking explorer, 137 00:09:16,520 --> 00:09:19,520 who is key to the power of GIS. 138 00:09:19,520 --> 00:09:22,520 Simply put, GIS combines layers of information about a place 139 00:09:22,520 --> 00:09:25,520 to give you a better understanding of that place. 140 00:09:25,520 --> 00:09:29,520 What layers of information you combine depends on what you want to know. 141 00:09:29,520 --> 00:09:33,520 If you want to find the best location for a new sporting goods store, 142 00:09:33,520 --> 00:09:36,520 you might want to know the traffic pattern and population density. 143 00:09:36,520 --> 00:09:40,520 You might also want to know if there are any potential customers living nearby. 144 00:09:44,520 --> 00:09:47,520 Hi, everybody, and welcome back to Jamestown Settlement. 145 00:09:47,520 --> 00:09:50,520 Now, so far, we've seen some of the science involved 146 00:09:50,520 --> 00:09:53,520 in investigating these ancient mysteries. 147 00:09:53,520 --> 00:09:56,520 But now, let's take a look at the math concepts used, 148 00:09:56,520 --> 00:09:59,520 and I bet you'll know a few of them. 149 00:09:59,520 --> 00:10:02,520 Now, you know that a number line is a series of numbers 150 00:10:02,520 --> 00:10:06,520 that begin at the origin, 0, and move away from that origin 151 00:10:06,520 --> 00:10:11,520 in both a positive direction and a negative direction toward infinity. 152 00:10:11,520 --> 00:10:17,520 Each division of a number line always represents the same increment. 153 00:10:17,520 --> 00:10:20,520 We use number lines to compare data. 154 00:10:20,520 --> 00:10:24,520 Sometimes, when scientists compare data, they use number lines. 155 00:10:24,520 --> 00:10:27,520 Now, on a number line, the number to the left 156 00:10:27,520 --> 00:10:31,520 is always less in value than the number to the right. 157 00:10:31,520 --> 00:10:35,520 You can graph integers on a number line by drawing a dot. 158 00:10:35,520 --> 00:10:38,520 For example, let's graph 5 on the number line. 159 00:10:38,520 --> 00:10:43,520 Now, start at the origin and move 5 spaces to the right. 160 00:10:43,520 --> 00:10:47,520 Okay, now let's graph negative 3 on the number line. 161 00:10:47,520 --> 00:10:51,520 Start again at the origin and move 3 spaces to the left. 162 00:10:51,520 --> 00:10:56,520 Let's take a couple of minutes and try the following example. 163 00:10:56,520 --> 00:11:01,520 Draw a number line from negative 10 to 10. 164 00:11:01,520 --> 00:11:06,520 Graph the integers 9 and negative 7. 165 00:11:06,520 --> 00:11:10,520 Graph the numbers you think might be their opposite integers. 166 00:11:10,520 --> 00:11:14,520 Teachers, this might be a good time to pause the tape 167 00:11:14,520 --> 00:11:17,520 so that students can give this a try. 168 00:11:17,520 --> 00:11:20,520 Welcome back, guys. Well, let's see how you did. 169 00:11:20,520 --> 00:11:23,520 The number line you made should have looked like this 170 00:11:23,520 --> 00:11:26,520 with the origin, or 0, in the middle. 171 00:11:26,520 --> 00:11:29,520 Each integer on the number line has an opposite integer 172 00:11:29,520 --> 00:11:32,520 that is equally distanced from the origin. 173 00:11:32,520 --> 00:11:35,520 For example, let's look at the number 9. 174 00:11:35,520 --> 00:11:39,520 It is 9 spaces from the origin to the right. 175 00:11:39,520 --> 00:11:42,520 Its opposite integer is negative 9. 176 00:11:42,520 --> 00:11:47,520 Both numbers are an equal distance on the number line from the origin. 177 00:11:47,520 --> 00:11:52,520 You should have also plotted negative 7 and 7 using the same method. 178 00:11:52,520 --> 00:11:55,520 Now, don't worry if you didn't get it right the first time. 179 00:11:55,520 --> 00:11:58,520 You can try again later, now that you know how. 180 00:11:58,520 --> 00:12:02,520 Now that you understand number lines, let's continue. 181 00:12:02,520 --> 00:12:05,520 Depending on the data that scientists are analyzing, 182 00:12:05,520 --> 00:12:09,520 they may need to use what we call the rectangular coordinate system. 183 00:12:09,520 --> 00:12:13,520 Now, this system consists of not one, but two number lines. 184 00:12:13,520 --> 00:12:18,520 These number lines cross at their origins and are perpendicular to each other. 185 00:12:18,520 --> 00:12:21,520 The area they create is called a plane. 186 00:12:21,520 --> 00:12:24,520 A plane is a two-dimensional object. 187 00:12:24,520 --> 00:12:28,520 The central point where the two lines cross is called the origin. 188 00:12:28,520 --> 00:12:32,520 Each number line now has a special name. 189 00:12:32,520 --> 00:12:35,520 The horizontal number line is called the x-axis. 190 00:12:35,520 --> 00:12:39,520 The vertical number line is called the y-axis. 191 00:12:39,520 --> 00:12:45,520 Now, the x- and y-axes divide the plane into four sections called quadrants. 192 00:12:45,520 --> 00:12:54,520 These quadrants are labeled counterclockwise as the first, second, third, and fourth. 193 00:12:54,520 --> 00:12:58,520 Now, remember where the two axes cross is called the origin. 194 00:12:58,520 --> 00:13:03,520 Points to the right and above the origin are labeled with positive numbers, 195 00:13:03,520 --> 00:13:06,520 1, 2, 3, etc. 196 00:13:06,520 --> 00:13:12,520 Points to the left and below the origin are labeled with negative numbers, 197 00:13:12,520 --> 00:13:15,520 1, 2, 3, etc. 198 00:13:15,520 --> 00:13:21,520 When plotting numbers in the rectangular coordinate system, we use coordinates. 199 00:13:21,520 --> 00:13:27,520 Now, these coordinates are the addresses of those points and are called ordered pairs. 200 00:13:27,520 --> 00:13:30,520 The first coordinate, then, is called the x-coordinate. 201 00:13:30,520 --> 00:13:33,520 The second is called the y-coordinate. 202 00:13:33,520 --> 00:13:36,520 Now, we always write these coordinates as pairs, 203 00:13:36,520 --> 00:13:40,520 with the first number representing the x-axis position 204 00:13:40,520 --> 00:13:44,520 and the second number representing the y-axis position. 205 00:13:44,520 --> 00:13:47,520 So, what do you think the ordered pair is for the origin? 206 00:13:47,520 --> 00:13:51,520 Well, if you guessed 0, 0, you are absolutely right. 207 00:13:51,520 --> 00:13:53,520 Let's take a closer look. 208 00:13:53,520 --> 00:13:58,520 We use ordered pairs of numbers to describe positions of points on the rectangular plane. 209 00:13:58,520 --> 00:14:04,520 The ordered pair 2, 3 means over positive 2 and up positive 3. 210 00:14:04,520 --> 00:14:12,520 However, the ordered pair 3, 2 means over positive 3 and up positive 2. 211 00:14:12,520 --> 00:14:16,520 Where do you suppose the point negative 3, negative 2 is located? 212 00:14:16,520 --> 00:14:20,520 Well, in this case, the x-coordinate is a negative number. 213 00:14:20,520 --> 00:14:24,520 You would move three places to the left of the origin. 214 00:14:25,520 --> 00:14:31,520 And, since the y-coordinate is a negative number, you would move two spaces down. 215 00:14:31,520 --> 00:14:36,520 Working in groups, let's see if you can graph the following coordinate pairs. 216 00:14:54,520 --> 00:14:57,520 2 equals negative 4, 1. 217 00:14:57,520 --> 00:15:02,520 Teachers, this would be a good time to pause while students give this a try. 218 00:15:02,520 --> 00:15:04,520 Okay, guys, let's see how you did. 219 00:15:04,520 --> 00:15:07,520 Here is what your coordinate points should look like. 220 00:15:10,520 --> 00:15:14,520 Don't be discouraged if yours doesn't come out perfect the first time. 221 00:15:14,520 --> 00:15:17,520 Later on, you can go back and try it again. 222 00:15:17,520 --> 00:15:22,520 You know, many times, scientists have to go back and recheck their work to correct their mistakes. 223 00:15:22,520 --> 00:15:27,520 Now that you know how to plot points using the rectangular coordinate system, 224 00:15:27,520 --> 00:15:30,520 can you think of when you might have already used this system? 225 00:15:30,520 --> 00:15:33,520 Norbert and Zot are using it right now. 226 00:15:33,520 --> 00:15:37,520 We use the rectangular coordinate system all the time. 227 00:15:37,520 --> 00:15:43,520 In fact, knowing how to locate points on a coordinate grid can actually help you locate points on a map. 228 00:15:43,520 --> 00:15:45,520 Let's take a look at Norbert and Zot. 229 00:15:45,520 --> 00:15:47,520 Can you describe their position? 230 00:15:48,520 --> 00:15:51,520 Can you describe their position now? 231 00:15:51,520 --> 00:15:58,520 By using a coordinate system, it is much easier to describe the position of objects in the real world. 232 00:15:58,520 --> 00:16:00,520 A coordinate is a point on a line. 233 00:16:00,520 --> 00:16:04,520 Two lines perpendicular to each other create a plane. 234 00:16:04,520 --> 00:16:09,520 Positions in this plane are labeled using two coordinates called an ordered pair. 235 00:16:09,520 --> 00:16:11,520 Now, in the science world, 236 00:16:11,520 --> 00:16:18,520 maps are an example of how we use the rectangular coordinate system to describe the location of items on the Earth's surface. 237 00:16:18,520 --> 00:16:22,520 This special type of map is called a topographical map. 238 00:16:22,520 --> 00:16:26,520 Sometimes, scientists need to plot data that is three-dimensional. 239 00:16:26,520 --> 00:16:28,520 To describe three-dimensional images, 240 00:16:28,520 --> 00:16:35,520 we can just simply add another axis to our rectangular coordinate system and plot points in three dimensions. 241 00:16:35,520 --> 00:16:38,520 Let's visit with the students in Pasadena, Texas, 242 00:16:38,520 --> 00:16:43,520 who used the rectangular coordinate system to complete a math and science activity. 243 00:16:43,520 --> 00:16:45,520 Hello, and welcome to Sophomore Intermediate School. 244 00:16:46,520 --> 00:16:49,520 We want to show you a cool activity that you can try in your own classroom. 245 00:16:49,520 --> 00:16:56,520 You can view and download this detailed description of how to do this lesson in your classroom from the NASA Connect website. 246 00:16:56,520 --> 00:17:00,520 Working in groups, we built imaginary environments instead of shoeboxes. 247 00:17:00,520 --> 00:17:03,520 We had to keep it top secret from all the other groups. 248 00:17:03,520 --> 00:17:08,520 Some of us included cool features like ponds, mountains, and trees. 249 00:17:08,520 --> 00:17:12,520 Next, we covered our environments with foil that had a grid marked on it. 250 00:17:12,520 --> 00:17:14,520 Then came the fun part. 251 00:17:14,520 --> 00:17:17,520 We created our shoebox environments with another group. 252 00:17:17,520 --> 00:17:23,520 We got to act like investigators trying to figure out what the environment in the box was without actually seeing it. 253 00:17:23,520 --> 00:17:27,520 We took turns using a screw to probe what might be in the box. 254 00:17:27,520 --> 00:17:30,520 Each person measured the depth of their probe. 255 00:17:30,520 --> 00:17:36,520 On our data sheets, we were careful to match our measurements for each probe to the correct coordinates of the foil grid. 256 00:17:36,520 --> 00:17:39,520 We were only allowed to choose 50 different probes. 257 00:17:39,520 --> 00:17:45,520 This made me realize just how accurate scientists would have to be when they map an area of land. 258 00:17:45,520 --> 00:17:50,520 Some groups used their data to create topographical maps of what they thought was in the shoeboxes. 259 00:17:50,520 --> 00:17:54,520 Other groups used a graphing program to create their topographical maps. 260 00:17:54,520 --> 00:18:00,520 The best part was when we got to look inside the shoeboxes and compare our drawings to what was really there. 261 00:18:00,520 --> 00:18:05,520 I'll bet that's how explorers will feel when they finally visit someplace like Mars. 262 00:18:06,520 --> 00:18:10,520 We hope you try this activity with your class. 263 00:18:10,520 --> 00:18:14,520 That looks like so much fun. I wish I could have been there with you. 264 00:18:14,520 --> 00:18:22,520 Now let's take a look at how NASA's only archaeologist, Tom Seaver, and other researchers are using the Rectangular Coordinate System, 265 00:18:22,520 --> 00:18:28,520 remote sensing, and GIS to answer questions about an ancient culture. 266 00:18:32,520 --> 00:18:34,520 When you think of an archaeologist, what do you picture? 267 00:18:34,520 --> 00:18:39,520 Someone just digging spearheads or maybe pottery or writing down the words of some primitive tribe? 268 00:18:39,520 --> 00:18:42,520 My name is Tom Seaver, and I'm a NASA archaeologist. 269 00:18:42,520 --> 00:18:48,520 And what I do is try to understand why human cultures succeed and why they fail. 270 00:18:48,520 --> 00:18:52,520 I also excavate artifacts in an attempt to understand the ancient past. 271 00:18:52,520 --> 00:18:59,520 These artifacts consist of ceramic bowls, of bone material, and of spearheads, lithics, stone material. 272 00:18:59,520 --> 00:19:08,520 More importantly, what I do is examine the soil structures to try to understand and reconstruct prehistoric environments and ancient climate patterns. 273 00:19:08,520 --> 00:19:14,520 Where the Patan Rainforest of Guatemala now stands, a great civilization once flourished, the Maya. 274 00:19:14,520 --> 00:19:19,520 The Maya built vast cities, ornate temples, and towering pyramids. 275 00:19:19,520 --> 00:19:26,520 At its height around 850 A.D., the population numbered 500 people per square mile in rural areas 276 00:19:26,520 --> 00:19:32,520 and more than 2,000 people per square mile in the cities, comparable to modern-day Los Angeles County. 277 00:19:32,520 --> 00:19:39,520 The Maya initially depended on a type of farming known as slash and burn, which means exactly what it sounds like. 278 00:19:39,520 --> 00:19:48,520 In order to grow crops such as corn, they would completely cut away or slash the dense jungle vegetation, exposing soil for planting crops. 279 00:19:48,520 --> 00:19:51,520 They would burn the debris that had been cleared. 280 00:19:51,520 --> 00:20:03,520 Initially, ash from the burned debris gives the soil its fertility, but within three to five years, the soil becomes exhausted, forcing the farmer to move on and cut down a new section. 281 00:20:03,520 --> 00:20:11,520 Eventually, slash and burn would not support the large population of the Maya, so they developed new agricultural techniques. 282 00:20:11,520 --> 00:20:15,520 We are trying to determine exactly what these techniques were. 283 00:20:15,520 --> 00:20:19,520 Without trees, erosion worsened, carrying away fertile topsoil. 284 00:20:19,520 --> 00:20:25,520 Topsoil is the fertile layer of soil with enough nutrients to support healthy plant growth. 285 00:20:25,520 --> 00:20:29,520 In the rainforest, this layer of soil is very thin. 286 00:20:29,520 --> 00:20:40,520 Slash and burn agriculture is being practiced in Guatemala today, and many researchers like myself feel that this technique of agriculture is affecting local climate today in the area. 287 00:20:40,520 --> 00:20:48,520 Our computer models suggest that when the forest is completely cut down, the temperature of a region can rise five to six degrees. 288 00:20:48,520 --> 00:20:57,520 If the Maya had completely deforested the region, the warmer temperatures would have dried out the land, making it very difficult for raising crops. 289 00:20:57,520 --> 00:21:01,520 Rising temperatures would also have disrupted rainfall patterns. 290 00:21:01,520 --> 00:21:10,520 During the dry season in the Patan, water is scarce, and the groundwater is too deep, 500 feet deep, to tap with wells. 291 00:21:10,520 --> 00:21:20,520 The Maya must have relied on rainwater saved in reservoirs to survive, so a disruption in rainfall could have a terrible consequence on their ability to grow food. 292 00:21:20,520 --> 00:21:25,520 Even when the Maya filled up all their reservoirs, they only had an 18-month supply. 293 00:21:25,520 --> 00:21:30,520 A two- or a three-year drought would have had a devastating effect on them. 294 00:21:30,520 --> 00:21:33,520 Remember what I said about the lack of trees causing erosion? 295 00:21:34,520 --> 00:21:40,520 Archaeologists have also studied samples of soil from ancient lake sediment in the Patan rainforest region. 296 00:21:40,520 --> 00:21:44,520 In these samples of sediment, they have discovered tree pollen. 297 00:21:44,520 --> 00:21:57,520 The curious part of all of this is that around 1,200 years ago, just before the Maya civilization's disappearance, tree pollen disappeared almost completely and was replaced by the pollen of weeds. 298 00:21:57,520 --> 00:22:01,520 In other words, the region became almost completely deforested. 299 00:22:01,520 --> 00:22:07,520 Did the Maya experience a natural drought that was made worse by the deforestation of their environment? 300 00:22:07,520 --> 00:22:13,520 A lot of researchers think that this is exactly what happened at 800 A.D. 301 00:22:13,520 --> 00:22:15,520 However, there is a bigger question. 302 00:22:15,520 --> 00:22:20,520 The Maya survived for centuries in the delicate tropical forest of Central America. 303 00:22:20,520 --> 00:22:22,520 Exactly how did they do it? 304 00:22:22,520 --> 00:22:25,520 An important clue comes from space. 305 00:22:25,520 --> 00:22:36,520 Data collected from satellites orbiting the Earth show evidence of an ancient system of canals and irrigation ditches in low-lying swamps called bajos, the Spanish word for lowland. 306 00:22:36,520 --> 00:22:39,520 Today's residents make little use of the bajos. 307 00:22:39,520 --> 00:22:44,520 For years, archaeologists believe that the Maya hadn't used these swampy areas either. 308 00:22:44,520 --> 00:22:50,520 During the rainy season from June to December, the bajos are too muddy, and in the dry season, they're parched. 309 00:22:50,520 --> 00:22:53,520 Neither condition is good for farming. 310 00:22:53,520 --> 00:22:59,520 Not only do I use data collected from satellites, I also practice what is called ground-truthing. 311 00:22:59,520 --> 00:23:07,520 Using a coordinate grid system, I am able to create maps of where I think I might find evidence of the Maya canals and irrigation ditches. 312 00:23:07,520 --> 00:23:14,520 Using satellite images, I explore the Earth up close to see that my data matches what I can observe on the ground. 313 00:23:14,520 --> 00:23:29,520 Data collected through remote sensing and ground-truthing have led archaeologists to hypothesize that these ancient canals and habitation sites were part of a system devised by the Maya to manage water in the ancient bajos and to use these areas for farming. 314 00:23:29,520 --> 00:23:32,520 The bajos make up almost half of the region. 315 00:23:32,520 --> 00:23:40,520 By making good use of the bajos for farming, the Maya would have been able to grow a much larger and more dependable supply of food. 316 00:23:40,520 --> 00:23:46,520 They could have farmed the bajos during the dry season by draining the water to lower areas into reservoirs. 317 00:23:46,520 --> 00:23:54,520 This way, they could have had two crops on the elevator bridges during the rainy season and two crops during the dry season in the bajos. 318 00:23:54,520 --> 00:24:02,520 It is the evidence of these features in the bajos that is leading researchers and environmentalists to help the people of the Bataan Rainforest today. 319 00:24:02,520 --> 00:24:09,520 One goal of our NASA research is to see if we can rediscover how the ancient Maya used this environment successfully. 320 00:24:09,520 --> 00:24:19,520 If we can determine the agricultural techniques that they used, we can use those techniques and apply them to modern-day populations who are living in the area today. 321 00:24:23,520 --> 00:24:34,520 By learning what the Maya did right and what they did wrong, maybe we can help local people find sustainable ways to farm the land while stopping short of the excesses that doomed the Maya. 322 00:24:34,520 --> 00:24:43,520 Using satellite data to examine Mayan ruins gives Seaver a big-picture view, otherwise impossible from his perspective here on Earth. 323 00:24:43,520 --> 00:24:52,520 Combining remotely sensed or satellite data with conventional down-in-the-dirt archaeological findings and working with NASA climate scientists, 324 00:24:52,520 --> 00:25:02,520 he may have uncovered a clue that will solve one of history's greatest mysteries as well as provide clues about what will happen to our Earth in the future. 325 00:25:03,520 --> 00:25:09,520 Wow. You know, right now as you watch this show, the rainforest is still falling under the axe. 326 00:25:09,520 --> 00:25:19,520 About half of the original rainforest has been destroyed in the past 40 years, cut down by farmers practicing slash-and-burn agriculture. 327 00:25:19,520 --> 00:25:23,520 This cycle repeats endlessly, or until the forest is gone. 328 00:25:24,520 --> 00:25:32,520 By 2020, only 2% to 16% of the original rainforest will remain if current rates of destruction continue. 329 00:25:32,520 --> 00:25:39,520 Changes in cloud formation and rainfall are occurring over deforested parts of Central America today. 330 00:25:39,520 --> 00:25:42,520 Is history repeating itself? 331 00:25:42,520 --> 00:25:50,520 If the residents of the rainforest cannot learn to live with their environment, many scientists believe history will in fact repeat itself. 332 00:25:50,520 --> 00:25:55,520 The bottom line is, how well do we, can we relate to our environment? 333 00:25:55,520 --> 00:26:02,520 As we seek to explore new worlds, such as Mars, we are taking our cues from the mistakes of the past. 334 00:26:02,520 --> 00:26:12,520 Before sending humans to create colonies, NASA has a carefully planned series of uncrewed missions designed to observe the environment of Mars. 335 00:26:12,520 --> 00:26:18,520 Now these missions are looking for water, testing the atmosphere, and monitoring the cycles of weather. 336 00:26:18,520 --> 00:26:30,520 Armed with as much detailed information as possible, future explorers and colonists to the Red Planet will have a better understanding of how to work with their environment before they arrive. 337 00:26:30,520 --> 00:26:36,520 They will be much better prepared for survival than were the Jamestown colonists in 1607. 338 00:26:36,520 --> 00:26:44,520 In fact, it is very likely that you are sitting among some of the first explorers and colonists of Mars. 339 00:26:44,520 --> 00:26:51,520 That's right. NASA predicts that they will put humans on Mars as early as 30 years from now. 340 00:26:51,520 --> 00:26:56,520 So here's my challenge to you, the next generation of explorers. 341 00:26:56,520 --> 00:27:06,520 How can you learn from the past mistakes we've made here on Earth and apply that information to making better decisions for your future exploration of new worlds? 342 00:27:06,520 --> 00:27:12,520 Well, that wraps up another episode of NASA Connect. We'd like to thank everyone who helped make this program possible. 343 00:27:12,520 --> 00:27:20,520 Got a comment, question, or suggestion? Well, then email them to connect at lark.nasa.gov. 344 00:27:20,520 --> 00:27:26,520 And don't forget to check out this program's student challenge. You can find it on the NASA Connect website. 345 00:27:26,520 --> 00:27:33,520 So until next time, stay connected to math, science, technology, and NASA. Goodbye for now. 346 00:27:33,520 --> 00:27:39,520 Music 347 00:28:03,520 --> 00:28:09,520 Music