Este producto es la temperatura de la superficie terrestre.
Este es un conjunto de datos continuo con una latencia de 3 a 4 días.
El GCOM-C realiza observaciones y recopila datos globales de forma continua y a largo plazo para dilucidar el mecanismo detrás de las fluctuaciones en el presupuesto de radiación y el ciclo del carbono necesarios para hacer proyecciones precisas sobre el aumento futuro de la temperatura. Al mismo tiempo, la cooperación con instituciones de investigación que tienen un modelo numérico climático contribuye a reducir los errores en la predicción del aumento de temperatura derivado del modelo numérico climático y a mejorar la precisión de la predicción de diversos cambios ambientales. El SGLI instalado en el GCOM-C es el sensor sucesor del Global Imager (GLI) instalado en el ADEOS-II (MIDORI II) y es el radiómetro de imágenes que mide la radiación desde la región del infrarrojo cercano al infrarrojo térmico (380 nm a 12 μm) en 19 canales. La observación global una vez cada dos días aproximadamente es posible en latitudes medias cerca de Japón con un ancho de observación en tierra superior a 1,000 km. Además, el SGLI ofrece una resolución más alta que el sensor global similar y tiene una función de observación polarizada y una función de observación multiángulo.
Bandas
Tamaño del píxel 4638.3 metros
Bandas
Nombre
Unidades
Mín.
Máx.
Tamaño de los píxeles
Descripción
LST_AVE
K
0*
65531*
metros
Temperatura de la superficie terrestre.
LST_QA_flag
metros
LST QA
Máscara de bits para LST_QA_flag
Bits 0 y 1: Tipo de terreno
0: Agua (fracción de tierra = 0%)
1: Principalmente agua (0% < fracción de tierra < 50%)
2: Principalmente costera (50% < fracción de tierra < 100%)
3: Tierra (fracción de tierra = 100%)
* Valor mínimo o máximo estimado
Propiedades de imágenes
Propiedades de imágenes
Nombre
Tipo
Descripción
ALGORITHM_VERSION
STRING
Versión del algoritmo
GRID_INTERVAL
STRING
Resolución espacial
GRID_INTERVAL_UNIT
STRING
Unidad de GRID_INTERVAL
IMAGE_END_TIME
STRING
Hora de finalización de la adquisición de la imagen
IMAGE_START_TIME
STRING
Hora de inicio de la adquisición de la imagen
PROCESSING_RESULT
STRING
Good, Fair, Poor, NG
PROCESSING_UT
STRING
Tiempo de procesamiento
PRODUCT_FILENAME
STRING
Nombre del archivo fuente
PRODUCT_VERSION
STRING
Versión del producto
SATELLITE_DIRECTION
STRING
Dirección de la órbita satelital
A: Datos nocturnos
D: Datos diurnos
LST_AVE_OFFSET
STRING
Desplazamiento
LST_AVE_SLOPE
STRING
Pendiente
Condiciones de Uso
Condiciones de Uso
Este conjunto de datos se puede usar de forma gratuita sin restricciones (incluido el uso comercial). Cualquier persona que desee publicar resultados analizados o productos de datos de valor agregado debe atribuir correctamente los datos originales de G-Portal, p.ej., "Datos de PR de la Agencia Japonesa de Exploración Aeroespacial". En el caso de los productos de datos de valor agregado, indica el crédito de los datos originales de G-Portal, p.ej., "Los datos originales de este producto de datos con valor agregado fueron proporcionados por la Agencia Japonesa de Exploración Aeroespacial".
Moriyama, M. (mayo de 2020). GCOM-C1/SGLI Land Surface Temperature Product Algorithm Theoretical Basis Document (Documento de base teórica del algoritmo del producto de temperatura de la superficie terrestre de GCOM-C1/SGLI) (versión 2). Recuperado de https://suzaku.eorc.jaxa.jp/GCOM_C/data/ATBD/ver2/V2ATBD_T4A_LST_Moriyama_r1.pdf
Este producto es la temperatura de la superficie terrestre. Este es un conjunto de datos continuo con una latencia de 3 a 4 días. El GCOM-C realiza observaciones y recopila datos globales de forma continua y a largo plazo para dilucidar el mecanismo detrás de las fluctuaciones en el balance de radiación y el ciclo del carbono necesarios para realizar proyecciones precisas sobre la temperatura futura…
[null,null,[],[[["\u003cp\u003eThe JAXA/GCOM-C/L3/LAND/LST/V3 dataset provides land surface temperature data collected by the Global Change Observation Mission (GCOM) satellite.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset covers the period from November 29, 2021, to December 10, 2024, and has a latency of 3-4 days.\u003c/p\u003e\n"],["\u003cp\u003eGCOM-C aims to understand fluctuations in radiation budget and carbon cycle to make accurate projections about future temperature rise.\u003c/p\u003e\n"],["\u003cp\u003eLand surface temperature is measured using the Second generation Global Imager (SGLI) with a spatial resolution of 4638.3 meters.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is free to use with proper attribution to JAXA and G-Portal.\u003c/p\u003e\n"]]],["The JAXA/GCOM-C/L3/LAND/LST/V3 dataset, provided by the Global Change Observation Mission, offers daily terrestrial land surface temperature data from November 29, 2021, to February 20, 2025, with a 3-4 day latency. The data, measured in Kelvin, is derived from the SGLI sensor, which observes radiation across 19 channels. Users can freely utilize this dataset, provided they credit the Japan Aerospace Exploration Agency. Earth Engine access and the dataset visualization are available through provided code snippets.\n"],null,["Dataset Availability\n: 2021-11-29T00:00:00Z--2025-08-29T00:00:00Z\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[climate](/earth-engine/datasets/tags/climate) [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) [land](/earth-engine/datasets/tags/land) [land-surface-temperature](/earth-engine/datasets/tags/land-surface-temperature) [lst](/earth-engine/datasets/tags/lst) \n\nDescription \nThis product is the temperature of terrestrial land surface.\n\nThis is an ongoing dataset with a latency of 3-4 days.\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\nBands\n\n\n**Pixel Size**\n\n4638.3 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------|-------|-----|---------|------------|------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `LST_AVE` | K | 0\\* | 65531\\* | meters | Temperature of land surface. |\n| `LST_QA_flag` | | | | meters | LST QA |\n| Bitmask for LST_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\nImage 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| LST_AVE_OFFSET | STRING | Offset |\n| LST_AVE_SLOPE | STRING | Slope |\n\nTerms 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\nCitations \nCitations:\n\n- Moriyama, M. (May. 2020). GCOM-C1/SGLI Land Surface Temperature Product Algorithm Theoretical\n Basis Document (Version 2). Retrieved from \u003chttps://suzaku.eorc.jaxa.jp/GCOM_C/data/ATBD/ver2/V2ATBD_T4A_LST_Moriyama_r1.pdf\u003e\n\nExplore with Earth Engine **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\nCode Editor (JavaScript) \n\n```javascript\nvar dataset = ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3')\n .filterDate('2021-12-01', '2022-01-01')\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(0.02);\n\nvar visualization = {\n bands: ['LST_AVE'],\n min: 250,\n max: 316,\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, 'Land Surface Temperature');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3) \n[GCOM-C/SGLI L3 Land Surface Temperature (V3)](/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3) \nThis product is the temperature of terrestrial land surface. This is an ongoing dataset with a latency of 3-4 days. 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 regarding future temperature ... \nJAXA/GCOM-C/L3/LAND/LST/V3, climate,g-portal,gcom,gcom-c,jaxa,land,land-surface-temperature,lst \n2021-11-29T00:00:00Z/2025-08-29T00:00:00Z \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_LST_V3)"]]
