Veritabanı, 2000 yılına ait Landsat uydu verileri kullanılarak hazırlanmıştır.
USGS Earth Resources Observation and Science Center'dan (EROS) elde edilen 1.000'den fazla Landsat sahnesi,hibrit gözetimli ve gözetimsiz dijital görüntü sınıflandırma teknikleri kullanılarak sınıflandırıldı. Bu veritabanı, dünyadaki ilk ve en kapsamlı mangrov değerlendirmesidir (Giri ve diğerleri, 2011).
Bu araştırmanın kısmi finansmanı NASA tarafından sağlanmıştır.
Mangrov veritabanı; mangrovların korunması için öncelikli alanların belirlenmesi, mangrov ormanlarının canları ve malları doğal afetlerden (ör. tsunami) kurtarmadaki rolünün incelenmesi, karbon muhasebesi ve biyoçeşitliliğin korunması için kullanılmaktadır. USGS EROS, deniz seviyesindeki yükselmenin mangrov ekosistemleri üzerindeki etkisini incelemek için bu verileri kullanıyor. Veritabanı, mangrov izleme için temel oluşturur.
Landsat veri kümeleri federal olarak oluşturulan verilerdir. Bu nedenle kamu alanında yer alır ve telif hakkı kısıtlaması olmadan kullanılabilir, aktarılabilir veya çoğaltılabilir.
USGS'nin veri kaynağı olarak kabul edildiği veya kredilendirildiği, aşağıdaki örnekte gösterildiği gibi bir metin alıntısı satırı eklenerek belirtilmelidir.
(Ürün, Resim, Fotoğraf veya Veri Kümesi Adı), ABD Jeoloji Araştırması'nın izniyle
Örnek: ABD Jeoloji Araştırması'nın izniyle Landsat-7 görüntüsü
Giri, C., E. Ochieng, L.L.Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek ve N. Duke. 2013. Global Mangrove Forests Distribution, 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4J67DW8. Erişim tarihi: DAY MONTH YEAR
Giri, C., E. Ochieng, L. L. Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek ve N. Duke. 2010. Dünyadaki Mangrov Ormanlarının Durumu ve Dağılımı (Dünya Gözlem Uydusu Verileri Kullanılarak). Global Ecology and Biogeography: A Journal of Macroecology 20(1): 154-159. https://doi.org/10.1111/j.1466-8238.2010.00584.x.
Veritabanı, 2000 yılına ait Landsat uydu verileri kullanılarak hazırlanmıştır. USGS Earth Resources Observation and Science Center'dan (EROS) elde edilen 1.000'den fazla Landsat görüntüsü,hibrit gözetimli ve gözetimsiz dijital görüntü sınıflandırma teknikleri kullanılarak sınıflandırıldı. Bu veritabanı, … ile ilgili ilk ve en kapsamlı mangrov değerlendirmesidir.
[null,null,[],[[["\u003cp\u003eThis dataset provides a global assessment of mangrove forests distribution based on Landsat satellite data from the year 2000.\u003c/p\u003e\n"],["\u003cp\u003eIt was created using over 1,000 Landsat scenes and hybrid supervised/unsupervised classification techniques.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset has a 30-meter resolution and identifies mangrove forest areas globally.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is valuable for mangrove conservation, disaster impact studies, carbon accounting, and biodiversity research.\u003c/p\u003e\n"],["\u003cp\u003eThe data is freely available in the public domain, with attribution to USGS recommended.\u003c/p\u003e\n"]]],["This dataset, sourced from NASA SEDAC and using Landsat satellite data from 2000, provides a global mangrove forest distribution map. Over 1,000 Landsat scenes were classified using hybrid image techniques. The data, accessible via Google Earth Engine, shows mangrove locations as a single band with a 30-meter pixel size and is intended for conservation prioritization, natural disaster studies, carbon accounting, and biodiversity research. It can be found at https://doi.org/10.7927/H4J67DW8.\n"],null,["# Global Mangrove Forests Distribution, v1 (2000)\n\nDataset Availability\n: 2000-01-01T00:00:00Z--2001-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA SEDAC at the Center for International Earth Science Information Network](https://www.earthdata.nasa.gov/data/catalog/sedac-ciesin-sedac-lulc-mangroves-2000-1.0)\n\nTags\n:\n[annual](/earth-engine/datasets/tags/annual) [ciesin](/earth-engine/datasets/tags/ciesin) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [global](/earth-engine/datasets/tags/global) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [mangrove](/earth-engine/datasets/tags/mangrove) [nasa](/earth-engine/datasets/tags/nasa) [usgs](/earth-engine/datasets/tags/usgs) \n\n#### Description\n\nThe database was prepared using Landsat satellite data from the year 2000.\nMore than 1,000 Landsat scenes obtained from the USGS Earth Resources\nObservation and Science Center (EROS) were classified using hybrid\nsupervised and unsupervised digital image classification techniques. This\ndatabase is the first, most comprehensive mangrove assessment of the world\n([Giri et al., 2011](https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1466-8238.2010.00584.x)).\nPartial funding of this research was provided by NASA.\n\nThe mangrove database is being used for identifying priority areas\nfor mangrove conservation, studying the role of mangrove forests in\nsaving lives and properties from natural disasters (e.g. tsunami),\ncarbon accounting, and biodiversity conservation. The USGS EROS has\nbeen using the data to study the impact of sea level rise on mangrove\necosystems. The database serves as a baseline for mangrove\nmonitoring.\n\n[General Documentation](https://www.earthdata.nasa.gov/data/catalog/sedac-ciesin-sedac-lulc-mangroves-2000-1.0#documents-and-resources)\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|------|------------|-------------|\n| `1` | meters | Mangroves |\n\n**1 Class Table**\n\n| Value | Color | Description |\n|-------|---------|-------------|\n| 1 | #d40115 | Mangroves |\n\n### Terms of Use\n\n**Terms of Use**\n\nLandsat datasets are federally created data\nand therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction.\n\nAcknowledgement or credit of the USGS as data source should be provided\nby including a line of text citation such as the example shown below.\n\n(Product, Image, Photograph, or Dataset Name) courtesy of\nthe U.S. Geological Survey\n\nExample: Landsat-7 image courtesy of the U.S. Geological Survey\n\nSee the\n[USGS Visual Identity System Guidance](https://www.usgs.gov/information-policies-and-instructions/usgs-visual-identity-system)\nfor further details on proper citation and acknowledgement of USGS products.\n\n### Citations\n\nCitations:\n\n- Giri, C., E. Ochieng, L.L.Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek, and N. Duke. 2013. Global Mangrove Forests Distribution, 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). \u003chttps://doi.org/10.7927/H4J67DW8\u003e. Accessed DAY MONTH YEAR\n- Giri, C., E. Ochieng, L. L. Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek, and N. Duke. 2010. Status and Distribution of Mangrove Forests of the World Using Earth Observation Satellite Data. Global Ecology and Biogeography: A Journal of Macroecology 20(1): 154-159. \u003chttps://doi.org/10.1111/j.1466-8238.2010.00584.x\u003e.\n\n### DOIs\n\n- \u003chttps://doi.org/10.1111/j.1466-8238.2010.00584.x\u003e\n- \u003chttps://doi.org/10.7927/H4J67DW8\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('LANDSAT/MANGROVE_FORESTS');\nvar mangrovesVis = {\n min: 0,\n max: 1.0,\n palette: ['d40115'],\n};\nMap.setCenter(-44.5626, -2.0164, 9);\nMap.addLayer(dataset, mangrovesVis, 'Mangroves');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/LANDSAT/LANDSAT_MANGROVE_FORESTS) \n[Global Mangrove Forests Distribution, v1 (2000)](/earth-engine/datasets/catalog/LANDSAT_MANGROVE_FORESTS) \nThe database was prepared using Landsat satellite data from the year 2000. More than 1,000 Landsat scenes obtained from the USGS Earth Resources Observation and Science Center (EROS) were classified using hybrid supervised and unsupervised digital image classification techniques. This database is the first, most comprehensive mangrove assessment of the ... \nLANDSAT/MANGROVE_FORESTS, annual,ciesin,forest-biomass,global,landsat-derived,mangrove,nasa,usgs \n2000-01-01T00:00:00Z/2001-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.7927/H4J67DW8](https://doi.org/https://www.earthdata.nasa.gov/data/catalog/sedac-ciesin-sedac-lulc-mangroves-2000-1.0)\n- [https://doi.org/10.7927/H4J67DW8](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_MANGROVE_FORESTS)"]]
