[null,null,[],[[["\u003cp\u003eThe JAXA/GCOM-C/L3/LAND/LAI/V2 dataset provides the sum of one-sided green leaf area per unit ground area, also known as Leaf Area Index (LAI).\u003c/p\u003e\n"],["\u003cp\u003eData is available from January 1, 2018, to November 28, 2021, with a spatial resolution of 4638.3 meters.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is provided by the Global Change Observation Mission (GCOM) and is free to use with proper attribution.\u003c/p\u003e\n"],["\u003cp\u003eGCOM-C aims to understand fluctuations in radiation budget and carbon cycle for accurate future temperature rise projections.\u003c/p\u003e\n"],["\u003cp\u003eFor data beyond November 28, 2021, refer to the V3 dataset.\u003c/p\u003e\n"]]],[],null,["# GCOM-C/SGLI L3 Leaf Area Index (V2)\n\nDataset Availability\n: 2018-01-01T00:00:00Z--2021-11-28T00:00:00Z\n\nDataset Provider\n:\n\n\n [Global Change Observation Mission (GCOM)](https://suzaku.eorc.jaxa.jp/GCOM/index.html)\n\nCadence\n: 1 Day\n\nTags\n:\n[g-portal](/earth-engine/datasets/tags/g-portal) [gcom](/earth-engine/datasets/tags/gcom) [gcom-c](/earth-engine/datasets/tags/gcom-c) [jaxa](/earth-engine/datasets/tags/jaxa) [lai](/earth-engine/datasets/tags/lai) [land](/earth-engine/datasets/tags/land) [leaf-area-index](/earth-engine/datasets/tags/leaf-area-index) [vegetation-indices](/earth-engine/datasets/tags/vegetation-indices) \n\n#### Description\n\nThis product is the sum of the one-sided green leaf area per unit ground area.\n\nFor data after 2021-11-28, see [the V3 dataset](/earth-engine/datasets/catalog/JAXA/GCOM-C/L3/LAND/LAI/V3).\n\nGCOM-C conducts long-term and continuous global observation and data collection to elucidate the\nmechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate\nprojections regarding future temperature rise. At the same time, cooperating with research\ninstitutions having a climate numerical model, it contributes to reduction of errors in\ntemperature rise prediction derived from the climate numerical model and improvement of accuracy\nof prediction of various environmental changes. SGLI mounted on GCOM-C is the succession sensor\nof the Global Imager (GLI) mounted on ADEOS-II (MIDORI II) and is the Imaging Radiometer which\nmeasures the radiation from near-ultraviolet to thermal infrared region (380 nm-12 um) in 19\nchannels. Global observation of once for approximately every two days is possible at\nmid-latitude near Japan by observation width at ground greater than 1,000 km. In addition, SGLI\nrealizes high resolution than the similar global sensor and has a polarized observation function\nand a multi-angle observation function.\n\n### Bands\n\n\n**Pixel Size**\n\n4638.3 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|---------------|-----|---------|------------|----------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `LAI_AVE` | 0\\* | 65531\\* | meters | The sum of the one-sided green leaf area per unit ground area. |\n| `LAI_QA_flag` | | | meters | LAI QA |\n| Bitmask for LAI_QA_flag - Bits 0-1: Terrain type - 0: water (land fraction = 0%) - 1: mostly water (0% \\\u003c land fraction \\\u003c 50%) - 2: mostly coastal (50% \\\u003c land fraction \\\u003c 100%) - 3: land (land fraction = 100%) ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|---------------------|--------|-----------------------------------------------------------------|\n| ALGORITHM_VERSION | STRING | Algorithm version |\n| GRID_INTERVAL | STRING | Spatial resolution |\n| GRID_INTERVAL_UNIT | STRING | Unit of GRID_INTERVAL |\n| IMAGE_END_TIME | STRING | Image acquisition end time |\n| IMAGE_START_TIME | STRING | Image acquisition start time |\n| PROCESSING_RESULT | STRING | Good, Fair, Poor, NG |\n| PROCESSING_UT | STRING | Processing time |\n| PRODUCT_FILENAME | STRING | Source filename |\n| PRODUCT_VERSION | STRING | Product version |\n| SATELLITE_DIRECTION | STRING | Satellite orbit direction - A: Nighttime data - D: Daytime data |\n| LAI_AVE_OFFSET | STRING | Offset |\n| LAI_AVE_SLOPE | STRING | Slope |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis dataset is free to use without any restrictions (including commercial use). Anyone wishing\nto publish analyzed results or value added data products should properly credit the original\nG-Portal data, e.g., \"PR data by Japan Aerospace Exploration Agency\". For value added data\nproducts, please indicate the credit of the original G-Portal data, e.g., \"Original data for\nthis value added data product was provided by Japan Aerospace Exploration Agency.\"\n\nSee [G-Portal's terms of service (Article 7)](https://gportal.jaxa.jp/gpr/index/eula?lang=en)\nfor additional information.\n\n### Citations\n\nCitations:\n\n- Kobayashi, T., Ono, Y., Kobayashi, H., Yang, W. (June. 2020). GCOM-C/SGLI\n Leaf Area Index (LAI)/ fraction of Absorbed Photosynthetically Active Radiation (fAPAR) Product\n Algorithm Theoretical Basis Document (Version 2). Retrieved from \u003chttps://suzaku.eorc.jaxa.jp/GCOM_C/data/ATBD/ver2/V2ATBD_T2B_LAI_Kobayashi_r1.pdf\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V2')\n .filterDate('2020-01-01', '2020-02-01')\n // filter to daytime data only\n .filter(ee.Filter.eq('SATELLITE_DIRECTION', 'D'));\n\n// Multiply with slope coefficient\nvar dataset = dataset.mean().multiply(0.001);\n\nvar visualization = {\n bands: ['LAI_AVE'],\n min: -7,\n max: 7,\n palette: [\n '040274','040281','0502a3','0502b8','0502ce','0502e6',\n '0602ff','235cb1','307ef3','269db1','30c8e2','32d3ef',\n '3be285','3ff38f','86e26f','3ae237','b5e22e','d6e21f',\n 'fff705','ffd611','ffb613','ff8b13','ff6e08','ff500d',\n 'ff0000','de0101','c21301','a71001','911003',\n ]\n};\n\nMap.setCenter(128.45, 33.33, 5);\n\nMap.addLayer(dataset, visualization, 'Leaf Area Index');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V2) \n[GCOM-C/SGLI L3 Leaf Area Index (V2)](/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V2) \nThis product is the sum of the one-sided green leaf area per unit ground area. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections ... \nJAXA/GCOM-C/L3/LAND/LAI/V2, g-portal,gcom,gcom-c,jaxa,lai,land,leaf-area-index,vegetation-indices \n2018-01-01T00:00:00Z/2021-11-28T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://suzaku.eorc.jaxa.jp/GCOM/index.html)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V2)"]]
