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GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)
Bu raster veri kümesi, BM İstatistik Komisyonu tarafından önerilen "Kentleşme Derecesi" I. Aşama metodolojisini uygulayarak 1975-2030 yılları arasındaki dönemler için GHSL projesi tarafından oluşturulan küresel ızgara nüfus ve yerleşik yüzey verilerine dayalı olarak küresel, çok zamanlı bir kırsal-kentsel sınıflandırmayı temsil eder. Derece … ghsl jrc population sdg settlement -
GHSL: Küresel yerleşim alanı 10 m (P2023A)
Bu raster veri kümesi, S2 görüntü verilerinden gözlemlenen 2018 yılı için 10 m ızgara hücresi başına metrekare cinsinden ifade edilen yerleşik alanların dağılımını gösterir. Veri kümeleri şunları ölçer: a) toplam yerleşik alan ve b) … ızgara hücrelerine ayrılan yerleşik alan built built-environment builtup copernicus ghsl jrc -
GHSL: 1975-2030 küresel yerleşik alan (P2023A)
Bu raster veri kümesi, 100 m'lik hücre başına metrekare cinsinden ifade edilen yerleşik yüzeylerin dağılımını gösterir. Veri kümesi şu değerleri ölçer: a) toplam yerleşim alanı ve b) ağırlıklı olarak konut dışı (NRES) kullanıma sahip ızgara hücrelerine ayrılan yerleşim alanı. Veriler uzamsal ve zamansal olarak ara değere göre hesaplanır veya … built built-environment builtup copernicus ghsl jrc -
GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
Bu uzamsal raster veri kümesi, insan yerleşimlerini 10 m çözünürlükte tanımlar ve yerleşimlerin iç özelliklerini, yapılı çevrenin işlevsel ve yükseklikle ilgili bileşenleri açısından açıklar. GHSL veri ürünleri hakkında daha fazla bilgiyi GHSL Veri Paketi 2023 raporunda bulabilirsiniz. building built builtup copernicus ghsl height -
World Settlement Footprint 2015
Dünya Yerleşim Alanları (WSF) 2015, 2014-2015 çok zamanlı Landsat-8 ve Sentinel-1 görüntüleri (sırasıyla yaklaşık 217.000 ve yaklaşık 107.000 sahne işlenmiştir) kullanılarak elde edilen, dünya genelinde insan yerleşimlerinin kapsamını özetleyen 10 metre çözünürlüklü bir ikili maskedir. İnsan yerleşimlerinin zamansal dinamikleri … landcover landsat-derived population sentinel1-derived settlement urban
Datasets tagged settlement in Earth Engine
[null,null,[],[[["\u003cp\u003eThe World Settlement Footprint 2015 dataset provides a global, 10m resolution binary mask showing the extent of human settlements using 2014-2015 Landsat-8 and Sentinel-1 imagery.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL datasets offer various perspectives on global built-up areas, including settlement characteristics, built-up surface extent over time, and degree of urbanization.\u003c/p\u003e\n"],["\u003cp\u003eGHSL data is available at different resolutions (10m and 100m) and provides insights into built-up surface area and functional characteristics like building height and residential/non-residential use.\u003c/p\u003e\n"],["\u003cp\u003eThe Degree of Urbanization dataset from GHSL classifies areas globally as rural or urban using a multitemporal approach and gridded population and built-up surface data.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets are derived from various satellite imagery sources including Landsat-8, Sentinel-1, and Sentinel-2 and cover different time periods from 1975 to 2030.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged settlement in Earth Engine\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_SMOD_V2-0) |\n | This raster dataset represents a global, multitemporal rural-urban classification, applying the \"Degree of Urbanisation\" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree ... |\n | [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) [population](/earth-engine/datasets/tags/population) [sdg](/earth-engine/datasets/tags/sdg) [settlement](/earth-engine/datasets/tags/settlement) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global built-up surface 10m (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S_10m) |\n | This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data. The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of ... |\n | [built](/earth-engine/datasets/tags/built) [built-environment](/earth-engine/datasets/tags/built-environment) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) |\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global built-up surface 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S) |\n | This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or ... |\n | [built](/earth-engine/datasets/tags/built) [built-environment](/earth-engine/datasets/tags/built-environment) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global settlement characteristics (10 m) 2018 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_C) |\n | This spatial raster dataset delineates human settlements at 10 m resolution, and describes their inner characteristics in terms of the functional and height-related components of the built environment. More information about the GHSL data products can be found in the GHSL Data Package 2023 report ... |\n | [building](/earth-engine/datasets/tags/building) [built](/earth-engine/datasets/tags/built) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [height](/earth-engine/datasets/tags/height) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### World Settlement Footprint 2015](/earth-engine/datasets/catalog/DLR_WSF_WSF2015_v1) |\n | The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which \\~217,000 and \\~107,000 scenes have been processed, respectively). The temporal dynamics of human settlements ... |\n | [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [population](/earth-engine/datasets/tags/population) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) [settlement](/earth-engine/datasets/tags/settlement) [urban](/earth-engine/datasets/tags/urban) |"]]