গ্লোবাল ইনল্যান্ড ওয়াটার ডেটাসেট তাজা এবং লবণাক্ত হ্রদ, নদী এবং জলাধার সহ অভ্যন্তরীণ পৃষ্ঠের জলাশয়গুলি দেখায়।
GLS 2000 যুগ থেকে, 3,650,723 km2 অভ্যন্তরীণ জল চিহ্নিত করা হয়েছিল, যার প্রায় তিন চতুর্থাংশ ছিল উত্তর আমেরিকা এবং এশিয়ায়। বোরিয়াল বন এবং তুন্দ্রা অভ্যন্তরীণ জলের বৃহত্তম অংশ ধারণ করে, যা বিশ্বব্যাপী মোট জলের প্রায় 40%। ডেটা মার্কিন যুক্তরাষ্ট্র এবং কানাডায় MODIS ডেটাসেটের পাশাপাশি 30-মি রেজোলিউশন ডেটাসেটের সাথে শক্তিশালী রৈখিক সম্পর্ক প্রদর্শন করে। অবশিষ্ট ত্রুটিগুলি প্রাথমিকভাবে জলের আবরণ, তুষার এবং বরফ এবং অবশিষ্ট মেঘের ঋতুগত কারণে হয়েছিল।
ডেটাসেটে প্রতিটি উপলব্ধ Landsat WRS2 পাথ/সারির জন্য এক বা একাধিক ছবি রয়েছে।
গ্লোবাল ইনল্যান্ড ওয়াটার ডেটাসেট তাজা এবং লবণাক্ত হ্রদ, নদী এবং জলাধার সহ অভ্যন্তরীণ পৃষ্ঠের জলাশয়গুলি দেখায়। GLS 2000 যুগ থেকে, 3,650,723 km2 অভ্যন্তরীণ জল চিহ্নিত করা হয়েছিল, যার প্রায় তিন চতুর্থাংশ ছিল উত্তর আমেরিকা এবং এশিয়ায়। বোরিয়াল বন এবং তুন্দ্রা এর বৃহত্তম অংশ ধারণ করে…
GLCF/GLS_WATER, glcf, ল্যান্ডস্যাট থেকে প্রাপ্ত, নাসা, সারফেস-গ্রাউন্ড-ওয়াটার, umd, জল
[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)"]]
