{
    "id": 4650,
    "url": "https://svs.gsfc.nasa.gov/4650/",
    "page_type": "Visualization",
    "title": "Brazilian Rainforest Logged Area Canopy Change 2013-2016",
    "description": "This data visualization starts with an airplane collecting lidar over a flat plane. As the data is collected a strip of the 2013 Brazilian rainforest canopy can be seen. Once the plane flies past, we spin the camera around to get a better view of the treetop canopy data. We then highlight areas of the canopy that will undergo significant change from 2013 to 2016. Finally, we allow those highlighted areas (ie, trees and tree branches) to fall the the ground, revealing the new 2016 forest canopy. || logged_v84_comp.0500_print.jpg (1024x576) [280.1 KB] || logged_v84_comp.0500_searchweb.png (320x180) [100.0 KB] || logged_v84_comp.0500_thm.png (80x40) [6.7 KB] || logged_v84_comp_1080p30.mp4 (1920x1080) [32.8 MB] || frames/1920x1080_16x9_30p/ (1920x1080) [64.0 KB] || logged_v84_comp_1080p30.webm (1920x1080) [2.6 MB] || ",
    "release_date": "2018-06-12T11:00:00-04:00",
    "update_date": "2023-11-15T00:11:53.269076-05:00",
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        "alt_text": "This data visualization starts with an airplane collecting lidar over a flat plane. As the data is collected a strip of the 2013 Brazilian rainforest canopy can be seen. Once the plane flies past, we spin the camera around to get a better view of the treetop canopy data. We then highlight areas of the canopy that will undergo significant change from 2013 to 2016. Finally, we allow those highlighted areas (ie, trees and tree branches) to fall the the ground, revealing the new 2016 forest canopy.",
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        "height": 576,
        "pixels": 589824
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        "filename": "logged_v84_comp_1080p30.mp4",
        "media_type": "Movie",
        "alt_text": "This data visualization starts with an airplane collecting lidar over a flat plane. As the data is collected a strip of the 2013 Brazilian rainforest canopy can be seen. Once the plane flies past, we spin the camera around to get a better view of the treetop canopy data. We then highlight areas of the canopy that will undergo significant change from 2013 to 2016. Finally, we allow those highlighted areas (ie, trees and tree branches) to fall the the ground, revealing the new 2016 forest canopy.",
        "width": 1920,
        "height": 1080,
        "pixels": 2073600
    },
    "progress": "Complete",
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            "description": "This data visualization starts with an airplane collecting lidar over a flat plane. As the data is collected a strip of the 2013 Brazilian rainforest canopy can be seen. Once the plane flies past, we spin the camera around to get a better view of the treetop canopy data. We then highlight areas of the canopy that will undergo significant change from 2013 to 2016. Finally, we allow those highlighted areas (ie, trees and tree branches) to fall the the ground, revealing the new 2016 forest canopy.",
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            "caption": "",
            "description": "This visualization shows <a href=\"http://gliht.gsfc.nasa.gov\"> LIDAR (LIght Detection And Ranging) </a> canopy data over the Brazilian Rainforest and how successive passes between 2013 to 2016 show changes to the treetop canopies. In this particular case, the area of interest appears to have been logged due to the very high number of downed trees. Together these data points provide scientists with information on foliage distribution and the elements of tree canopy. Similar LIDAR technologies are used to measure terrain topographies on the Moon and Mars.",
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            "url": "https://svs.gsfc.nasa.gov/4650/#media_group_326379",
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            "title": "",
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            "description": "Print resolution image of the 2013 Brazilian Forest Canopy with change areas highlighted.",
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            "url": "https://svs.gsfc.nasa.gov/4650/#media_group_326380",
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            "description": "Print resolution image of the 2016 forest canopy.",
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    "studio": "SVS",
    "funding_sources": [
        "ESE"
    ],
    "credits": [
        {
            "role": "Data visualizer",
            "people": [
                {
                    "name": "Alex Kekesi",
                    "employer": "Global Science and Technology, Inc."
                },
                {
                    "name": "Greg Shirah",
                    "employer": "NASA/GSFC"
                },
                {
                    "name": "Horace Mitchell",
                    "employer": "NASA/GSFC"
                },
                {
                    "name": "Cindy Starr",
                    "employer": "Global Science and Technology, Inc."
                }
            ]
        },
        {
            "role": "Scientist",
            "people": [
                {
                    "name": "Doug C. Morton",
                    "employer": "NASA/GSFC"
                },
                {
                    "name": "Veronika Leitold",
                    "employer": "University of Maryland"
                }
            ]
        },
        {
            "role": "Technical support",
            "people": [
                {
                    "name": "Laurence Schuler",
                    "employer": "ADNET Systems, Inc."
                },
                {
                    "name": "Ian Jones",
                    "employer": "ADNET Systems, Inc."
                }
            ]
        },
        {
            "role": "Data provider",
            "people": [
                {
                    "name": "Hyeungu Choi",
                    "employer": "Global Science and Technology, Inc."
                }
            ]
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    ],
    "missions": [],
    "series": [
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    ],
    "tapes": [],
    "papers": [
        "https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.15110"
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    "datasets": [
        {
            "name": "LiDAR 3D point cloud",
            "common_name": "LiDAR",
            "platform": "Airplane",
            "sensor": "G-LiHT",
            "type": "Observed Data",
            "organizations": [],
            "description": "",
            "credit": "",
            "url": "",
            "date_range": "2013-2016"
        }
    ],
    "nasa_science_categories": [
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    "keywords": [
        "Brazil",
        "Earth Science",
        "HDTV",
        "Hyperwall",
        "Lidar",
        "Location",
        "Spectral/Engineering",
        "Tree height"
    ],
    "recommended_pages": [],
    "related": [
        {
            "id": 4530,
            "url": "https://svs.gsfc.nasa.gov/4530/",
            "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_1080p30.mp4 (1920x1080) [311.2 MB] || transect2014_720p30.mp4 (1280x720) [132.4 MB] || transect2014_720p30.webm (1280x720) [71.4 MB] || transect2014_2160p30_3.mp4 (3840x2160) [1.2 GB] || transect2014_360p30.mp4 (640x360) [30.3 MB] || frames/3840x2160_16x9_30p/transect2014/ (3840x2160) [2.0 MB] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2023-11-15T00:10:08.679721-05:00",
            "main_image": {
                "id": 418046,
                "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004530/transect2014.17900_print.jpg",
                "filename": "transect2014.17900_print.jpg",
                "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.",
                "width": 1024,
                "height": 576,
                "pixels": 589824
            }
        },
        {
            "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] || frames/1920x1080_16x9_30p/ (1920x1080) [64.0 KB] || 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] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2023-11-15T00:10:08.983899-05:00",
            "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": 4651,
            "url": "https://svs.gsfc.nasa.gov/4651/",
            "page_type": "Visualization",
            "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] || frames/1920x1080_16x9_30p/ (1920x1080) [128.0 KB] || nologging_v87_comp_1080p30.webm (1920x1080) [4.3 MB] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2023-11-15T00:11:53.390936-05:00",
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                "id": 403544,
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                "filename": "nologging_v87.0410_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 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.",
                "width": 1024,
                "height": 576,
                "pixels": 589824
            }
        },
        {
            "id": 4652,
            "url": "https://svs.gsfc.nasa.gov/4652/",
            "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] || frames/1920x1080_16x9_30p/ (1920x1080) [64.0 KB] || stillcam5_comp_1080p30.webm (1920x1080) [3.1 MB] || ",
            "release_date": "2018-06-12T11:00:00-04:00",
            "update_date": "2023-11-15T00:11:53.540792-05:00",
            "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": [],
    "products": [
        {
            "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 (320x180) [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",
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