WEBVTT FILE 1 00:00:01.070 --> 00:00:05.070 The novel coronavirus led to changes in human activities 2 00:00:05.070 --> 00:00:09.070 around the globe. As a result of city-to-country-wide lockdowns, 3 00:00:09.070 --> 00:00:13.070 some bodies of water have run clearer, emissions of pollutants have temporarily 4 00:00:13.070 --> 00:00:17.070 declined, and transportation and shipment of goods have decreased. 5 00:00:17.070 --> 00:00:21.070 We can see some of these changes from space. 6 00:00:21.070 --> 00:00:25.070 NASA, ESA and JAXA have partnered to make 7 00:00:25.070 --> 00:00:29.070 data from their fleet of satellites accessible on the new COVID-19 8 00:00:29.070 --> 00:00:33.070 Earth Observation Dashboard. You can search through 9 00:00:33.070 --> 00:00:37.070 various signals of the COVID lockdowns as they’re visible from space. 10 00:00:37.070 --> 00:00:41.070 When you arrive at the dashboard, you have a few choices for digging 11 00:00:41.070 --> 00:00:45.070 into the data. On the left side, you can sort the observations by 12 00:00:45.070 --> 00:00:49.070 country or by type of data indicator. We’ll walk through a few of these. 13 00:00:49.070 --> 00:00:53.070 When you select an indicator, points on the map where those data 14 00:00:53.070 --> 00:00:57.070 are available will turn either green, blue, red or gray 15 00:00:57.070 --> 00:01:01.070 to indicate if the data are better than, the same as, or worse 16 00:01:01.070 --> 00:01:05.070 than the average baseline, or still being processed and uploaded. 17 00:01:05.070 --> 00:01:09.070 First up: Economic indicators. We’ll start with import 18 00:01:09.070 --> 00:01:13.070 production sites: status of metallic ores. Points on the map 19 00:01:13.070 --> 00:01:17.070 where these data are available turned blue. We’ll look at Dunkirk in France. 20 00:01:17.070 --> 00:01:21.070 A chart shows how many ships were available at piers 21 00:01:21.070 --> 00:01:25.070 over time in imagery from Sentinel-2. 22 00:01:25.070 --> 00:01:29.070 We can also look at finished goods production, like in Beijing. 23 00:01:29.070 --> 00:01:33.000 Clicking on the blue dot pulls up a chart showing how many new cars were 24 00:01:33.000 --> 00:01:37.070 visible in ALOS-2 and Sentinel-1 satellite imagery. 25 00:01:37.070 --> 00:01:41.070 You can click to read more and see the satellite imagery.We can see 26 00:01:41.070 --> 00:01:45.070 other economic indicators, like electric lights seen from space. 27 00:01:45.070 --> 00:01:49.000 We’ll look at California. Clicking on the EO Data button 28 00:01:49.000 --> 00:01:49.070 zooms into the imagery from the NASA-NOAA Suomi-NPP satellite. 29 00:01:49.070 --> 00:01:53.070 zooms into the imagery from the NASA-NOAA Suomi-NPP satellite. 30 00:01:53.070 --> 00:01:57.070 You can compare lights from before and during the COVID lockdowns and you can zoom 31 00:01:57.070 --> 00:02:01.070 in even further for a closer look at the images. 32 00:02:01.070 --> 00:02:05.070 33 00:02:05.070 --> 00:02:09.070 We can also investigate environmental indicators, like air 34 00:02:09.070 --> 00:02:13.070 quality. We’ll look at the concentration of nitrogen dioxide, 35 00:02:13.070 --> 00:02:17.070 an air pollutant released by human activities like driving cars 36 00:02:17.070 --> 00:02:21.070 measured by the TROPOMI instrument from Copernicus Sentinel-5P 37 00:02:21.070 --> 00:02:25.070 satellites. You can compare global NO2 38 00:02:25.070 --> 00:02:29.070 concentrations from before and during COVID lockdowns or zoom and 39 00:02:29.070 --> 00:02:33.070 pan to specific locations. Using the 40 00:02:33.070 --> 00:02:37.070 greenhouse gases indicator, we can investigate similar measurements of global 41 00:02:37.070 --> 00:02:41.070 carbon dioxide from OCO-2 over the entire planet and 42 00:02:41.070 --> 00:02:45.070 GOSAT satellites over individual city areas. We’ll click on Global 43 00:02:45.070 --> 00:02:49.070 Indicator for the difference between 2020 and prior years.  44 00:02:49.070 --> 00:02:53.070 You can also click on cities like Tokyo and see greenhouse 45 00:02:53.070 --> 00:02:57.070 gas column data for the annual change over the last few months. 46 00:02:57.070 --> 00:03:01.070 Water quality data over a time series in the North 47 00:03:01.070 --> 00:03:05.070 Adriatic Sea, show a drop and then subsequent increase in chlorophyll 48 00:03:05.070 --> 00:03:09.070 concentrations, which might reflect changes in both natural conditions like winds and 49 00:03:09.070 --> 00:03:13.070 currents and in human activities like agriculture and sewage runoff. 50 00:03:13.070 --> 00:03:17.070 You can also compare chlorophyll concentrations in 51 00:03:17.070 --> 00:03:21.070 coastal areas, like the Venice lagoon, where the drop is partly the result 52 00:03:21.070 --> 00:03:25.070 of decreased human activity.There are more data indicators to come, 53 00:03:25.070 --> 00:03:29.070 so you can continue to explore the changes caused by COVID-19 54 00:03:29.070 --> 00:03:33.070 lockdowns, as we see them from space. 55 00:03:33.070 --> 00:03:37.070 NASA 56 00:03:37.070 --> 00:03:41.070 57 00:03:41.070 --> 00:03:45.050 58 00:03:45.050 --> 00:03:45.045