Global Land Ice Measurements from Space (GLIMS) est une initiative internationale visant à étudier à plusieurs reprises les quelque 200 000 glaciers du monde.
Le projet vise à créer un inventaire complet de la glace terrestre à l'échelle mondiale, y compris des mesures de la superficie, de la géométrie, de la vitesse de surface et de l'altitude de la limite des neiges des glaciers. Pour effectuer ces analyses, le projet GLIMS utilise des données satellite, principalement celles du radiomètre ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) et de l'ETM+ (Enhanced Thematic Mapper Plus) de Landsat, ainsi que des informations historiques issues de cartes et de photographies aériennes.
Chaque entité de cet ensemble de données est une limite polygonale d'un glacier au moment de l'analyse. Certains ID de glacier comportent des centaines de lignes distinctes au fil du temps.
Cet ensemble de données est un instantané de l'inventaire des limites des glaciers au 7 juin 2023, qui fournit plus de 1 100 000 lignes.
Schéma de la table
Schéma de table
Nom
Type
Description
analystes
STRING
Nom(s) du ou des contributeurs de données
anlys_id
DOUBLE
ID d'un glacier à un moment donné
anlys_time
STRING
Date et heure de l'analyse
surface
DOUBLE
Superficie du glacier dans le plan de projection de la carte (en kilomètres carrés)
chief_affl
STRING
Affiliation du responsable du centre régional
db_area
DOUBLE
Identique à "area", mais recalculé par le projet GLIMS
geog_area
STRING
Nom de la région géographique couverte par le centre régional
glac_id
STRING
ID du glacier GLIMS
glac_name
STRING
Nom du glacier. Environ 80 % des lignes sont définies sur "Aucun"
glac_stat
STRING
État Glacier, "exists" ou "None"
longueur
DOUBLE
Longueur du périmètre du glacier en mètres
line_type
STRING
Type d'enregistrement de glacier, par exemple "glac_bound" pour les glaciers, ou d'autres valeurs pour les roches internes, les limites de neige, les éléments d'eau, etc.
local_id
STRING
ID attribué par l'établissement contributeur ou le centre régional
max_elev
DOUBLE
Partie la plus élevée du glacier, en mètres au-dessus du niveau de la mer
mean_elev
DOUBLE
Altitude moyenne du glacier, en mètres au-dessus du niveau de la mer
min_elev
DOUBLE
Partie la plus basse du glacier, en mètres au-dessus du niveau de la mer
id_parent
STRING
ID du glacier parent de ce glacier
primeclass
DOUBLE
Numéro de classification du glacier WGMS
proc_desc
STRING
Description du traitement effectué sur cet enregistrement
rc_id
DOUBLE
ID utilisé par le centre régional
rec_status
STRING
État de l'enregistrement
release_dt
STRING
Date de publication des données, au format AAAA-MM-JJTHH:mm:ss
src_date
STRING
Date des images sources utilisées pour créer le contour
subm_id
DOUBLE
ID de l'envoi attribué par GLIMS
les auteurs ;
STRING
Nom(s) du ou des responsables de l'envoi des données
wgms_id
STRING
ID du World Glacier Monitoring Service
largeur
DOUBLE
Largeur du glacier en mètres
Conditions d'utilisation
Conditions d'utilisation
Pour la création de rapports, de publications, de nouveaux ensembles de données, de produits dérivés ou de services résultant de l'ensemble de données, les utilisateurs doivent citer : GLIMS et NSIDC (2005, mis à jour en 2013) : base de données des glaciers Global Land Ice Measurements from Space. Compilé et mis à disposition par la communauté internationale GLIMS et le National Snow and Ice Data Center, Boulder CO, États-Unis, doi:10.7265/N5V98602
L'initiative internationale GLIMS (Global Land Ice Measurements from Space) vise à étudier à plusieurs reprises les quelque 200 000 glaciers du monde. Le projet vise à créer un inventaire complet de la glace terrestre à l'échelle mondiale, y compris des mesures de la superficie, de la géométrie, de la vitesse de surface et de l'altitude de la limite des neiges des glaciers. Pour effectuer ces analyses, …
[null,null,[],[[["\u003cp\u003e\u003cstrong\u003eCaution:\u003c/strong\u003e This dataset has been replaced by a newer version, GLIMS/20230607.\u003c/p\u003e\n"],["\u003cp\u003eGLIMS is an international project creating a global inventory of glacier boundaries, including measurements of glacier area, geometry, velocity, and snow line elevation.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset comprises over 1,100,000 rows, representing glacier boundaries primarily derived from ASTER and Landsat satellite data.\u003c/p\u003e\n"],["\u003cp\u003eEach feature in the dataset represents a glacier's polygonal boundary at the time of analysis, with attributes like area, elevation, and source imagery date.\u003c/p\u003e\n"],["\u003cp\u003eUsers of this dataset for publications or derived products should cite GLIMS and NSIDC, providing the associated DOI.\u003c/p\u003e\n"]]],[],null,["# GLIMS Current: Global Land Ice Measurements From Space\n\nDataset Availability\n: 1750-01-01T00:00:00Z--2023-06-07T00:00:00Z\n\nDataset Provider\n:\n\n\n [National Snow and Ice Data Center (NSDIC)](https://www.glims.org)\n\nTags\n:\n[cryosphere](/earth-engine/datasets/tags/cryosphere) [glacier](/earth-engine/datasets/tags/glacier) [glims](/earth-engine/datasets/tags/glims) [ice](/earth-engine/datasets/tags/ice) [landcover](/earth-engine/datasets/tags/landcover) [nasa](/earth-engine/datasets/tags/nasa) [nsidc](/earth-engine/datasets/tags/nsidc) [snow](/earth-engine/datasets/tags/snow) [table](/earth-engine/datasets/tags/table) \n\n#### Description\n\nGlobal Land Ice Measurements from Space (GLIMS) is\nan international initiative with the goal of repeatedly surveying\nthe world's estimated 200,000 glaciers.\n\nThe project seeks\nto create a globally comprehensive inventory of land ice, including\nmeasurements of glacier area, geometry, surface velocity, and\nsnow line elevation. To perform these analyses, the GLIMS project\nuses satellite data, primarily from the Advanced Spaceborne Thermal\nEmission and Reflection Radiometer (ASTER) and the Landsat Enhanced\nThematic Mapper Plus (ETM+), as well as historical information\nderived from maps and aerial photographs.\n\nEach feature in this dataset is a polygonal boundary of a glacier at the\ntime of analysis. A few glacier IDs have hundreds of distinct rows over\ntime.\n\nThis dataset is a snapshot of the inventory of glacier boundaries as of\nJune 7, 2023, providing over 1,100,000 rows.\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|------------|--------|--------------------------------------------------------------------------------------------------------------------------|\n| analysts | STRING | Name(s) of data contributor(s) |\n| anlys_id | DOUBLE | ID of a glacier at a particular time |\n| anlys_time | STRING | When the analysis was done |\n| area | DOUBLE | Area of the glacier in the plane of the map projection in square kilometers |\n| chief_affl | STRING | Affiliation of the chief of the regional center |\n| db_area | DOUBLE | Same as 'area', but recomputed by the GLIMS project |\n| geog_area | STRING | Name of geographic region covered by the regional center |\n| glac_id | STRING | The GLIMS glacier ID |\n| glac_name | STRING | The glacier name. \\~80% of the rows equal 'None' |\n| glac_stat | STRING | Glacier status, either 'exists' or 'None' |\n| length | DOUBLE | Length of the glacier perimeter in meters |\n| line_type | STRING | Glacier record type, e.g. 'glac_bound' for glaciers, or other values for internal rocks, snowlines, water features, etc. |\n| local_id | STRING | ID assigned by the contributing institution or regional center |\n| max_elev | DOUBLE | Highest part of the glacier, in meters above sea level |\n| mean_elev | DOUBLE | Mean elevation of the glacier, in meters above sea level |\n| min_elev | DOUBLE | Lowest part of the glacier, in meters above sea level |\n| parent_id | STRING | ID of the glacier that is the parent of this glacier |\n| primeclass | DOUBLE | WGMS glacier classification number |\n| proc_desc | STRING | Description of processing done on this record |\n| rc_id | DOUBLE | ID used by the regional center |\n| rec_status | STRING | Record status |\n| release_dt | STRING | Date data was released, in YYYY-MM-ddTHH:mm:ss format |\n| src_date | STRING | Date of source imagery used to create the outline |\n| subm_id | DOUBLE | The submission ID assigned by GLIMS |\n| submitters | STRING | Name(s) of data submitter(s) |\n| wgms_id | STRING | World Glacier Monitoring Service ID |\n| width | DOUBLE | Width of the glacier in meters |\n\n### Terms of Use\n\n**Terms of Use**\n\nFor the creation of any reports, publications, new\ndata sets, derived products, or services resulting from the data\nset, users should cite: GLIMS and NSIDC (2005, updated 2013): Global\nLand Ice Measurements from Space glacier database. Compiled and\nmade available by the international GLIMS community and the National\nSnow and Ice Data Center, Boulder CO, U.S.A.,\n[doi:10.7265/N5V98602](https://doi.org/10.7265/N5V98602)\n\n### DOIs\n\n- \u003chttps://doi.org/10.7265/N5V98602\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.FeatureCollection('GLIMS/current');\nvar visParams = {\n palette: ['gray', 'cyan', 'blue'],\n min: 0.0,\n max: 10.0,\n opacity: 0.8,\n};\nvar image = ee.Image().float().paint(dataset, 'area');\nMap.setCenter(-35.618, 66.743, 7);\nMap.addLayer(image, visParams, 'GLIMS/current');\nMap.addLayer(dataset, null, 'for Inspector', false);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/GLIMS/GLIMS_current)\n\n### Visualize as a FeatureView\n\n\nA `FeatureView` is a view-only, accelerated representation of a\n`FeatureCollection`. For more details, visit the\n[`FeatureView` documentation.](/earth-engine/guides/featureview_overview)\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 fvLayer = ui.Map.FeatureViewLayer('GLIMS/current_FeatureView');\n\nvar visParams = {\n color: {\n property: 'area',\n mode: 'linear',\n palette: ['gray', 'cyan', 'blue'],\n min: 0.0,\n max: 10.0\n },\n opacity: 0.8,\n polygonStrokeOpacity: 0\n};\n\nfvLayer.setVisParams(visParams);\nfvLayer.setName('GLIMS/current');\n\nMap.setCenter(-35.618, 66.743, 7);\nMap.add(fvLayer);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/GLIMS/GLIMS_current_FeatureView) \n[GLIMS Current: Global Land Ice Measurements From Space](/earth-engine/datasets/catalog/GLIMS_current) \nGlobal Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. The project seeks to create a globally comprehensive inventory of land ice, including measurements of glacier area, geometry, surface velocity, and snow line elevation. To perform these analyses, ... \nGLIMS/current, cryosphere,glacier,glims,ice,landcover,nasa,nsidc,snow,table \n1750-01-01T00:00:00Z/2023-06-07T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.7265/N5V98602](https://doi.org/https://www.glims.org)\n- [https://doi.org/10.7265/N5V98602](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/GLIMS_current)"]]
