Global Land Ice Measurements from Space (GLIMS) adalah inisiatif internasional dengan tujuan untuk berulang kali mensurvei sekitar 200.000 gletser di dunia.
Project ini berupaya
membuat inventaris komprehensif global es daratan, termasuk
pengukuran area gletser, geometri, kecepatan permukaan, dan
elevasi garis salju. Untuk melakukan analisis ini, proyek GLIMS menggunakan data satelit, terutama dari Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) dan Landsat Enhanced Thematic Mapper Plus (ETM+), serta informasi historis yang berasal dari peta dan foto udara.
Setiap fitur dalam set data ini adalah batas poligonal gletser pada
waktu analisis. Beberapa ID gletser memiliki ratusan baris berbeda dari waktu ke waktu.
Set data ini adalah snapshot inventaris batas gletser pada 7 Juni 2023, yang menyediakan lebih dari 1.100.000 baris.
Skema Tabel
Skema Tabel
Nama
Jenis
Deskripsi
analis
STRING
Nama kontributor data
anlys_id
DOUBLE
ID gletser pada waktu tertentu
anlys_time
STRING
Saat analisis dilakukan
area
DOUBLE
Luas gletser dalam bidang proyeksi peta dalam kilometer persegi
chief_affl
STRING
Afiliasi kepala pusat regional
db_area
DOUBLE
Sama seperti 'area', tetapi dihitung ulang oleh project GLIMS
geog_area
STRING
Nama wilayah geografis yang dicakup oleh pusat regional
glac_id
STRING
ID gletser GLIMS
glac_name
STRING
Nama gletser. ~80% baris sama dengan 'None'
glac_stat
STRING
Status Glacier, 'ada' atau 'Tidak Ada'
panjang
DOUBLE
Panjang perimeter gletser dalam meter
line_type
STRING
Jenis catatan gletser, misalnya 'glac_bound' untuk gletser, atau nilai lain untuk batuan internal, garis salju, fitur air, dll.
local_id
STRING
ID yang ditetapkan oleh lembaga atau pusat regional yang berkontribusi
max_elev
DOUBLE
Bagian tertinggi gletser, dalam meter di atas permukaan laut
mean_elev
DOUBLE
Ketinggian rata-rata gletser, dalam meter di atas permukaan laut
min_elev
DOUBLE
Bagian terendah gletser, dalam meter di atas permukaan laut
parent_id
STRING
ID gletser yang merupakan induk dari gletser ini
primeclass
DOUBLE
Nomor klasifikasi gletser WGMS
proc_desc
STRING
Deskripsi pemrosesan yang dilakukan pada catatan ini
rc_id
DOUBLE
ID yang digunakan oleh pusat regional
rec_status
STRING
Status data
release_dt
STRING
Data tanggal dirilis, dalam format YYYY-MM-ddTHH:mm:ss
src_date
STRING
Tanggal gambar sumber yang digunakan untuk membuat garis batas
subm_id
DOUBLE
ID pengiriman yang ditetapkan oleh GLIMS
pengirim
STRING
Nama pengirim data
wgms_id
STRING
ID World Glacier Monitoring Service
lebar
DOUBLE
Lebar gletser dalam meter
Persyaratan Penggunaan
Persyaratan Penggunaan
Untuk pembuatan laporan, publikasi, kumpulan data baru, produk turunan, atau layanan apa pun yang dihasilkan dari kumpulan data, pengguna harus mengutip: GLIMS and NSIDC (2005, diperbarui 2013): Global Land Ice Measurements from Space glacier database. Dikompilasi dan
disediakan oleh komunitas GLIMS internasional dan National
Snow and Ice Data Center, Boulder CO, U.S.A.,
doi:10.7265/N5V98602
FeatureView adalah representasi yang dipercepat dan hanya dapat dilihat dari
FeatureCollection. Untuk mengetahui detail selengkapnya, buka
dokumentasi FeatureView.
Global Land Ice Measurements from Space (GLIMS) adalah inisiatif internasional dengan tujuan untuk berulang kali mensurvei sekitar 200.000 gletser di dunia. Project ini berupaya membuat inventaris komprehensif global es daratan, termasuk pengukuran area gletser, geometri, kecepatan permukaan, dan elevasi batas salju. Untuk melakukan analisis ini, …
[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)"]]
