Birincil nemli tropikal ormanlar, küresel ekosistem için çok sayıda hizmet sunar ancak ekonomik faktörler nedeniyle sürekli olarak temizlenme tehdidi altındadır. Ulusal arazi kullanımı planlamasını kolaylaştırmak ve ekonomik kalkınma ile ekosistem hizmetlerinin sürdürülmesi hedeflerini dengelemek için UMD GLAD ekibi tarafından birincil nemli tropikal orman haritası oluşturuldu. Birincil orman alanı, 2001 yılı için küresel olarak elde edilen, ücretsiz ve tutarlı bir şekilde işlenen Landsat görüntüleri kullanılarak 30 metrelik bir uzamsal çözünürlükte haritalandı.
Bantlar
Piksel Boyutu 30 metre
Bantlar
Ad
Piksel Boyutu
Açıklama
Primary_HT_forests
metre
Birincil Nemli Tropikal Ormanlar
Primary_HT_forests Class Table
Değer
Renk
Açıklama
1
#008000
Birincil Nemli Tropikal Ormanlar
Kullanım Şartları
Kullanım Şartları
Veriler, izin, lisans veya telif ücreti ödemesi olmadan herkes tarafından her yerde ve her zaman kullanılabilir.
Önerilen alıntı kullanılarak atıfta bulunulması istenir.
Alıntılar
Alıntılar:
Turubanova S., Potapov P., Tyukavina, A., and Hansen M. (2018) Brezilya, Demokratik Kongo Cumhuriyeti ve Endonezya'da devam eden birincil orman kaybı. Environmental
Research Letters.
https://doi.org/10.1088/1748-9326/aacd1c
Birincil nemli tropikal ormanlar, küresel ekosistem hizmetlerinin çoğunu sağlar ancak ekonomik faktörler nedeniyle sürekli olarak temizlenme tehdidi altındadır. Ulusal arazi kullanımı planlamasını kolaylaştırmak ve ekonomik kalkınma ile ekosistem hizmetlerinin sürdürülmesi hedeflerini dengelemek için UMD GLAD ekibi tarafından birincil nemli tropikal orman haritası oluşturuldu. …
[null,null,[],[[["\u003cp\u003eThis dataset provides a 30-meter resolution map of primary humid tropical forests for the year 2001.\u003c/p\u003e\n"],["\u003cp\u003eIt was created by the UMD GLAD team using Landsat imagery to support land use planning and ecosystem service maintenance.\u003c/p\u003e\n"],["\u003cp\u003eThe data is freely available for use without restrictions, although attribution is requested.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset highlights the ongoing threat to primary forests from economic drivers, emphasizing the need for balancing development with conservation.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset using Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["# Primary Humid Tropical Forests\n\nDataset Availability\n: 2001-01-01T00:00:00Z--2002-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [UMD/GLAD](https://glad.umd.edu/dataset/primary-forest-humid-tropics)\n\nTags\n:\n [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [global](/earth-engine/datasets/tags/global) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [umd](/earth-engine/datasets/tags/umd) \nglad \n\n#### Description\n\nPrimary humid tropical forests provide numerous global ecosystem services,\nbut are under continuing threat of clearing from economic drivers. To facilitate\nnational land use planning and balancing the goals of economic development and\nmaintenance of ecosystem services, a primary humid tropical forest map was\ncreated by the UMD GLAD team. The primary forest extent was mapped\nfor the year 2001 at a spatial resolution of 30 meters using globally acquired,\nfree-of-charge, and consistently processed Landsat imagery.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|----------------------|------------|--------------------------------|\n| `Primary_HT_forests` | meters | Primary Humid Tropical Forests |\n\n**Primary_HT_forests Class Table**\n\n| Value | Color | Description |\n|-------|---------|--------------------------------|\n| 1 | #008000 | Primary Humid Tropical Forests |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe data may be used by anyone, anywhere, anytime without permission,\nlicense or royalty payment.\nAttribution using the recommended citation is requested.\n\n### Citations\n\nCitations:\n\n- Turubanova S., Potapov P., Tyukavina, A., and Hansen M. (2018) Ongoing primary forest\n loss in Brazil, Democratic Republic of the Congo, and Indonesia. Environmental\n Research Letters.\n \u003chttps://doi.org/10.1088/1748-9326/aacd1c\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(\n 'UMD/GLAD/PRIMARY_HUMID_TROPICAL_FORESTS/v1').mosaic().selfMask();\n\nvar visualization = {\n bands: ['Primary_HT_forests'],\n min: 1.0,\n max: 1.0,\n palette: ['008000']\n};\n\nMap.setCenter(0.0, 0.0, 2);\n\nMap.addLayer(dataset, visualization, 'Primary HT forests');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UMD/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1) \n[Primary Humid Tropical Forests](/earth-engine/datasets/catalog/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1) \nPrimary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. To facilitate national land use planning and balancing the goals of economic development and maintenance of ecosystem services, a primary humid tropical forest map was created by the UMD GLAD team. ... \nUMD/GLAD/PRIMARY_HUMID_TROPICAL_FORESTS/v1, forest,forest-biomass,global,landsat-derived,umd \n2001-01-01T00:00:00Z/2002-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://glad.umd.edu/dataset/primary-forest-humid-tropics)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1)"]]
