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            "description": "See [NASA.gov](https://www.nasa.gov/feature/goddard/2018/3d-view-of-amazon-forests-captures-effects-of-el-ni-o-drought)",
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    "related": [
        {
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            "page_type": "Produced Video",
            "title": "Listening to the Amazon: Tracking Deforestation Through Sound",
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        {
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            "page_type": "Visualization",
            "title": "50 Kilometers of Brazilian Forest Canopy",
            "description": "This visualization shows an airplane collecting a 50 kilometer swath of lidar data over the Brazilian rainforest. For ground level features, colors range from deep brown to tan. Vegetation heights are depicted in shades of green, where dark greens are closest to the ground and light greens are the highest. || transect2014.17900_print.jpg (1024x576) [106.2 KB] || transect2014.17900_searchweb.png (320x180) [44.6 KB] || transect2014.17900_thm.png (80x40) [4.1 KB] || transect2014_720p30.webm (1280x720) [71.4 MB] || transect2014_720p30.mp4 (1280x720) [132.4 MB] || transect2014_1080p30.mp4 (1920x1080) [311.2 MB] || transect2014_360p30.mp4 (640x360) [30.3 MB] || transect2014 (3840x2160) [0 Item(s)] || transect2014_2160p30_3.mp4 (3840x2160) [1.2 GB] || transect2014_1080p30.mp4.hwshow [212 bytes] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2025-01-05T00:07:48.273766-05:00",
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                "media_type": "Image",
                "alt_text": "This visualization shows an airplane collecting a 50 kilometer swath of lidar data over the Brazilian rainforest. For ground level features, colors range from deep brown to tan. Vegetation heights are depicted in shades of green, where dark greens are closest to the ground and light greens are the highest.",
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        {
            "id": 4651,
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            "title": "Brazilian Rainforest Area Canopy Change 2013-2014-2016",
            "description": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the viewer finds themselves amongst the recently collected treetop canopy. The viewer then moves forward through the canopy eventually lifting up to get a birds eye view of the recently collected strip of data points (represented as leaf-like shapes). Areas of change from 2013 to 2014 are then highlighted and the data transitions to what the canopy looked like in 2014. Areas of change between 2014 to 2016 are then highlighted before the data transitions again to what the canopy looked like in 2016. Each successive change allows scientists to carefully monitor the turn over rate of foliage over this three year period. || nologging_v87.0410_print.jpg (1024x576) [85.0 KB] || nologging_v87.0410_searchweb.png (320x180) [51.7 KB] || nologging_v87.0410_thm.png (80x40) [5.1 KB] || nologging_v87_comp_1080p30.mp4 (1920x1080) [46.2 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nologging_v87_comp_1080p30.webm (1920x1080) [4.3 MB] || nologging_v87_comp_1080p30.mp4.hwshow [192 bytes] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2025-01-06T00:12:56.587355-05:00",
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                "alt_text": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the viewer finds themselves amongst the recently collected treetop canopy. The viewer then moves forward through the canopy eventually lifting up to get a birds eye view of the recently collected strip of data points (represented as leaf-like shapes). Areas of change from 2013 to 2014 are then highlighted and the data transitions to what the canopy looked like in 2014. Areas of change between 2014 to 2016 are then highlighted before the data transitions again to what the canopy looked like in 2016. Each successive change allows scientists to carefully monitor the turn over rate of foliage over this three year period.",
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        {
            "id": 4652,
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            "page_type": "Visualization",
            "title": "Brazilian Rainforest Canopy Change at Mission Start 2013-2014-2016",
            "description": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the stationary viewer finds themselves amongst the recently collected treetop canopy. The viewer then drifts upward getting a better view of the beginning of the data swath. Areas that change between 2013 and 2014 are then highlighted and the data transitions fully to what the canopy looked like in 2014. Next, areas of change between 2014 to 2016 are highlighted and then fully transition to the canopy in 2016. Being able to see this level of change allows scientists to carefully monitor the foliage turnover rate in this remote part of the world. || stillcam5_comp.0690_print.jpg (1024x576) [217.2 KB] || stillcam5_comp.0690_searchweb.png (320x180) [66.4 KB] || stillcam5_comp.0690_thm.png (80x40) [4.3 KB] || stillcam5_comp_1080p30.mp4 (1920x1080) [41.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || stillcam5_comp_1080p30.webm (1920x1080) [3.1 MB] || stillcam5_comp_1080p30.mp4.hwshow [188 bytes] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2025-01-06T00:12:56.791571-05:00",
            "main_image": {
                "id": 403560,
                "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004652/stillcam5_comp.0690_print.jpg",
                "filename": "stillcam5_comp.0690_print.jpg",
                "media_type": "Image",
                "alt_text": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the stationary viewer finds themselves amongst the recently collected treetop canopy. The viewer then drifts upward getting a better view of the beginning of the data swath. Areas that change between 2013 and 2014 are then highlighted and the data transitions fully to what the canopy looked like in 2014. Next, areas of change between 2014 to 2016 are highlighted and then fully transition to the canopy in 2016. Being able to see this level of change allows scientists to carefully monitor the foliage turnover rate in this remote part of the world.",
                "width": 1024,
                "height": 576,
                "pixels": 589824
            }
        }
    ],
    "sources": [
        {
            "id": 4532,
            "url": "https://svs.gsfc.nasa.gov/4532/",
            "page_type": "Visualization",
            "title": "Flying Through LIDAR Canopy Data",
            "description": "This animation shows an airplane collecting treetop data over a Brazilian rainforest. As the airplane continues to collect data, the viewer flies down to the rainforest canopy and flies through the virtual leaves, eventually emerging to see the airplane off in the distance still collecting new data. It should be noted that for the purposes of this animation, we chose to use leaf-like objects to represent each lidar data point in 3D space. However, lidar data does not specifically show individual leaves, but simply point heights reflected by the leaf canopy. However, the resolution of the lidar data is so good that it potentially can pick up leaves and other structures such as tree branches, and sometimes even flying birds, but has no easy way to differentiate between them. Therefore, since the location of this particular data was known to be a rainforest, and the majority of the data points would represent leaves, we chose leaf-like structures for this particular case. || flythrough.0520_print.jpg (1024x576) [192.8 KB] || flythrough.0520_searchweb.png (320x180) [84.5 KB] || flythrough.0520_thm.png (80x40) [5.8 KB] || flythrough_1080p30.mp4 (1920x1080) [82.6 MB] || flythrough_720p30.mp4 (1280x720) [39.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || flythrough_1080p30.webm (1920x1080) [5.9 MB] || flythrough_360p30.mp4 (640x360) [12.3 MB] || flythrough_4532.key [40.3 MB] || flythrough_4532.pptx [40.0 MB] || flythrough_1080p30.mp4.hwshow [184 bytes] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2025-01-05T23:15:15.620227-05:00",
            "main_image": {
                "id": 417972,
                "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004532/flythrough.0520_print.jpg",
                "filename": "flythrough.0520_print.jpg",
                "media_type": "Image",
                "alt_text": "This animation shows an airplane collecting treetop data over a Brazilian rainforest. As the airplane continues to collect data, the viewer flies down to the rainforest canopy and flies through the virtual leaves, eventually emerging to see the airplane off in the distance still collecting new data. It should be noted that for the purposes of this animation, we chose to use leaf-like objects to represent each lidar data point in 3D space. However, lidar data does not specifically show individual leaves, but simply point heights reflected by the leaf canopy. However, the resolution of the lidar data is so good that it potentially can pick up leaves and other structures such as tree branches, and sometimes even flying birds, but has no easy way to differentiate between them. Therefore, since the location of this particular data was known to be a rainforest, and the majority of the data points would represent leaves, we chose leaf-like structures for this particular case.",
                "width": 1024,
                "height": 576,
                "pixels": 589824
            }
        },
        {
            "id": 12982,
            "url": "https://svs.gsfc.nasa.gov/12982/",
            "page_type": "Produced Video",
            "title": "Amazon Canopy Comes to Life through Laser Data",
            "description": "Flying over the Brazilian Amazon with an instrument firing 300,000 laser pulses per second, NASA scientists have made the first 3D measurements of forest canopies in the region. With this research they hope to shed light on the effects of prolonged drought on forest ecosystems and to provide a potential preview of stresses on rainforests in a warming world.Complete transcript available. || Amazon_lidar_2018_final.00150_print.jpg (1024x576) [36.8 KB] || Amazon_lidar_2018_final.00150_searchweb.png (180x320) [21.4 KB] || Amazon_lidar_2018_final.00150_web.png (320x180) [21.4 KB] || Amazon_lidar_2018_final.00150_thm.png (80x40) [2.0 KB] || Amazon_lidar_2018_prores.mov (1920x1280) [4.5 GB] || Amazon_lidar_2018_final.mp4 (1920x1080) [705.9 MB] || Amazon_lidar_2018_final.webm (1920x1080) [17.2 MB] || 12982.AmazonLidar2018.cc.en_US.vtt [2.5 KB] || 12982.AmazonLidar2018.cc.en_US.srt [2.4 KB] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2023-05-03T13:46:42.080560-04:00",
            "main_image": {
                "id": 402709,
                "url": "https://svs.gsfc.nasa.gov/vis/a010000/a012900/a012982/Amazon_lidar_2018_final.00150_print.jpg",
                "filename": "Amazon_lidar_2018_final.00150_print.jpg",
                "media_type": "Image",
                "alt_text": "Flying over the Brazilian Amazon with an instrument firing 300,000 laser pulses per second, NASA scientists have made the first 3D measurements of forest canopies in the region. With this research they hope to shed light on the effects of prolonged drought on forest ecosystems and to provide a potential preview of stresses on rainforests in a warming world.Complete transcript available.",
                "width": 1024,
                "height": 576,
                "pixels": 589824
            }
        }
    ],
    "products": [],
    "newer_versions": [],
    "older_versions": [],
    "alternate_versions": []
}