ग्लोबल इनलैंड वॉटर डेटासेट में, ज़मीन पर मौजूद पानी के स्रोत दिखाए गए हैं. इनमें मीठे और खारे पानी की झीलें, नदियां, और जलाशय शामिल हैं.
जीएलएस 2000 के समय, 3,650,723 वर्ग कि॰मी॰ के क्षेत्र में ताज़ा पानी मौजूद था. इसमें से तीन-चौथाई पानी, उत्तरी अमेरिका और एशिया में मौजूद था. बोरियल फ़ॉरेस्ट और टुंड्रा में, दुनिया के कुल ताज़े पानी का 40% हिस्सा मौजूद है. यह डेटा, अमेरिका और कनाडा के MODIS डेटासेट और 30 मीटर रिज़ॉल्यूशन वाले डेटासेट, दोनों के साथ काफ़ी हद तक मेल खाता है. बची हुई गड़बड़ियां मुख्य रूप से पानी, बर्फ़, और बादल की वजह से हुई थीं.
इस डेटासेट में, उपलब्ध हर Landsat WRS2 पाथ/रो के लिए एक या उससे ज़्यादा इमेज होती हैं.
इस डेटासेट के बौद्धिक संपत्ति के अधिकार, यूनिवर्सिटी ऑफ़ मैरीलैंड, डिपार्टमेंट ऑफ़ जियोग्राफ़िकल साइंसेज़, और नासा के पास हैं. अगर क्रेडिट दिया जाता है, तो इसका इस्तेमाल मुफ़्त में किया जा सकता है.
ग्लोबल इनलैंड वॉटर डेटासेट में, ज़मीन पर मौजूद पानी के स्रोत दिखाए गए हैं. इनमें मीठे और खारे पानी की झीलें, नदियां, और जलाशय शामिल हैं. जीएलएस 2000 के समय, 36,50,723 वर्ग कि॰मी॰ के क्षेत्र में ताज़ा पानी मौजूद था. इसमें से करीब तीन-चौथाई पानी, उत्तरी अमेरिका और एशिया में मौजूद था. बोरियल फ़ॉरेस्ट और टुंड्रा में … का सबसे बड़ा हिस्सा होता है
[null,null,[],[[["\u003cp\u003eThe Global Inland Water dataset identifies inland surface water bodies, including lakes, rivers, and reservoirs, primarily using Landsat imagery from the year 2000.\u003c/p\u003e\n"],["\u003cp\u003eApproximately 3,650,723 km² of inland water were identified globally, with a large concentration in North America and Asia, and boreal forests and tundra containing about 40% of the total.\u003c/p\u003e\n"],["\u003cp\u003eThis 30-meter resolution dataset classifies water bodies, land, snow/ice, and cloud cover, with detailed documentation and code examples provided for users.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is freely available for use with proper acknowledgment to the University of Maryland, Department of Geographical Sciences, and NASA.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset using Google Earth Engine, a platform for geospatial data analysis and visualization.\u003c/p\u003e\n"]]],[],null,["# GLCF: Landsat Global Inland Water\n\nDataset Availability\n: 2000-01-01T00:00:00Z--2000-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA LP DAAC at the USGS EROS Center](https://doi.org/10.5067/MEASURES/GFCC/GFCC30WC.001)\n\nTags\n:\n[glcf](/earth-engine/datasets/tags/glcf) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [nasa](/earth-engine/datasets/tags/nasa) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [umd](/earth-engine/datasets/tags/umd) [water](/earth-engine/datasets/tags/water) \n\n#### Description\n\nThe Global Inland Water dataset shows inland surface water bodies, including\nfresh and saline lakes, rivers, and reservoirs.\n\nFrom the GLS 2000 epoch, 3,650,723 km2 of inland water were identified,\naround three quarters of which were in North America and Asia. Boreal\nforests and tundra hold the largest portion of inland water, about 40% of\nthe global total. The data exhibits strong linear correlation with both the\nMODIS dataset as well as 30-m resolution datasets over the United States\nand Canada. Residual errors were due primarily to the seasonality of water\ncover, snow and ice, and residual clouds.\n\nThe dataset contains one or more image for each available Landsat WRS2\npath/row.\n\nDocumentation:\n\n- [User's guide](https://lpdaac.usgs.gov/documents/1371/GFCC_User_Guide_V1.pdf)\n\n- [Algorithm Theoretical Basis Document (ATBD)](https://lpdaac.usgs.gov/documents/1370/GFCC_ATBD.pdf)\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|---------|------------|----------------------|\n| `water` | meters | Water classification |\n\n**water Class Table**\n\n| Value | Color | Description |\n|-------|---------|--------------|\n| 1 | #fafafa | Land |\n| 2 | #00c5ff | Water |\n| 4 | #df73ff | Snow/ice |\n| 200 | #828282 | Cloud shadow |\n| 201 | #cccccc | Cloud |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|---------------------|----------|---------------------|\n| path | DOUBLE | Path |\n| pathrow | STRING | Path and row |\n| row | DOUBLE | Row |\n| water_class_names | DOUBLE | Water class names |\n| water_class_palette | DOUBLE | Water class palette |\n| water_class_values | INT_LIST | Water class values |\n\n### Terms of Use\n\n**Terms of Use**\n\nIntellectual property rights to this dataset belong to University of\nMaryland, Department of Geographical Sciences and NASA. Usage is free if\nacklowedgement is made.\n\n### Citations\n\nCitations:\n\n- Data Citation: Global Inland Water, {Year, ...}, Global Land Cover\n Facility.\n- Paper/Methods Citation: Feng, Min, Joseph O. Sexton, Saurabh Channan,\n and John R. Townshend. 2015. [A Global, High-Resolution (30-M) Inland Water\n Body Dataset for 2000: First Results of a Topographic-Spectral\n Classification Algorithm](https://www.tandfonline.com/doi/pdf/10.1080/17538947.2015.1026420).\n International Journal of Digital Earth.\n [doi:10.1080/17538947.2015.1026420](https://doi.org/10.1080/17538947.2015.1026420).\n\n### DOIs\n\n- \u003chttps://doi.org/10.1080/17538947.2015.1026420\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('GLCF/GLS_WATER');\nvar water = dataset.select('water');\nvar waterVis = {\n min: 1.0,\n max: 4.0,\n palette: ['fafafa', '00c5ff', 'df73ff', '828282', 'cccccc'],\n};\nMap.setCenter(-79.3094, 44.5693, 8);\nMap.addLayer(water, waterVis, 'Water');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/GLCF/GLCF_GLS_WATER) \n[GLCF: Landsat Global Inland Water](/earth-engine/datasets/catalog/GLCF_GLS_WATER) \nThe Global Inland Water dataset shows inland surface water bodies, including fresh and saline lakes, rivers, and reservoirs. From the GLS 2000 epoch, 3,650,723 km2 of inland water were identified, around three quarters of which were in North America and Asia. Boreal forests and tundra hold the largest portion of ... \nGLCF/GLS_WATER, glcf,landsat-derived,nasa,surface-ground-water,umd,water \n2000-01-01T00:00:00Z/2000-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1080/17538947.2015.1026420](https://doi.org/https://doi.org/10.5067/MEASURES/GFCC/GFCC30WC.001)\n- [https://doi.org/10.1080/17538947.2015.1026420](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/GLCF_GLS_WATER)"]]
