WEBVTT FILE 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.