1 00:00:01,618 --> 00:00:04,788 Chimpanzees, one of our closest living relatives, 2 00:00:04,854 --> 00:00:08,491 have had their populations decimated over the last 50 years. 3 00:00:09,325 --> 00:00:13,947 All that time, Earth observing satellites like Landsat have been documenting 4 00:00:13,947 --> 00:00:17,600 the shrinking of their home, Africa's equatorial forest belt. 5 00:00:18,752 --> 00:00:21,087 The Jane Goodall Institute uses satellite 6 00:00:21,087 --> 00:00:24,841 data and images in their Tacare program, 7 00:00:24,841 --> 00:00:28,411 supporting local communities in implementing their own conservation plans, 8 00:00:28,411 --> 00:00:30,647 which have helped restore vital chimpanzee habitat. 9 00:00:35,869 --> 00:00:38,872 Tacare gives me hope. 10 00:00:38,972 --> 00:00:40,523 The way it gives me hope 11 00:00:40,523 --> 00:00:43,526 is it is changing lives. 12 00:00:44,127 --> 00:00:48,531 And it is also empowering the local voices. 13 00:00:48,782 --> 00:00:51,835 There are people they call themselves like forest guardians, 14 00:00:51,835 --> 00:00:54,838 friends of forest. 15 00:00:55,188 --> 00:00:58,742 There are people who are becoming, you know, tree planting groups. 16 00:01:00,443 --> 00:01:02,812 More recently, with support from NASA, 17 00:01:02,812 --> 00:01:07,817 JGI has used dozens of variables from Landsat data like vegetation and 18 00:01:07,817 --> 00:01:11,938 tree cover to create a habitat suitability map for chimpanzees. 19 00:01:14,274 --> 00:01:15,558 Mobile apps also bring in data 20 00:01:15,558 --> 00:01:19,763 in real time to allow communities to actively enforce 21 00:01:19,763 --> 00:01:22,766 the protection of their village forest reserves. 22 00:01:24,050 --> 00:01:26,453 With support from USAID, 23 00:01:26,453 --> 00:01:29,989 community leaders have even used this data in land use planning, 24 00:01:30,323 --> 00:01:34,310 voluntarily moving farms away from areas where forest restoration 25 00:01:34,644 --> 00:01:37,313 would lead to the greatest gain for watersheds, 26 00:01:37,313 --> 00:01:40,100 people, and chimpanzees. 27 00:01:40,100 --> 00:01:42,235 After years of forest loss, 28 00:01:42,235 --> 00:01:44,654 satellite data has helped support habitat recovery. 29 00:01:45,355 --> 00:01:47,490 It works both ways. 30 00:01:47,490 --> 00:01:50,493 Sometimes you show a lush forest 31 00:01:50,844 --> 00:01:54,647 and then you show how a few years later it's devastated. 32 00:01:54,647 --> 00:01:57,417 There's just a few burnt stumps. 33 00:01:57,417 --> 00:02:00,320 But on the other hand, there are other images 34 00:02:00,320 --> 00:02:03,323 which show you a devastated landscape. 35 00:02:03,590 --> 00:02:06,810 And then five years later, trees coming back, 36 00:02:06,810 --> 00:02:09,345 regeneration, new hope, new life. 37 00:02:10,647 --> 00:02:14,150 So the stories that you can tell around the images, 38 00:02:14,751 --> 00:02:18,655 along with the images, make something very, very powerful. 39 00:02:18,922 --> 00:02:21,891 And you need both to make the kind of impact 40 00:02:21,891 --> 00:02:26,312 that we need to make today to help people understand the devastation 41 00:02:26,312 --> 00:02:30,533 we've caused, but to give them hope that we can turn things around. 42 00:02:31,050 --> 00:02:34,320 And that's what these satellite images show so clearly.