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GHSL: Global building height 2018 (P2023A)
Bu uzamsal raster veri kümesi, 2018 yılına ait 100 m çözünürlükte bina yüksekliklerinin dünya genelindeki dağılımını gösterir. Bina yüksekliklerini tahmin etmek için kullanılan giriş verileri ALOS Küresel Dijital Yüzey Modeli (30 m), NASA Uzay Mekiği Radar Topoğrafik Misyonu ve … alos building built built-environment builtup copernicus -
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 -
Açık Binalar Zamansal V1
Open Buildings 2,5D Zamansal Veri Kümesi, 2016-2023 yılları arasında yıllık olarak 4 m etkili1 mekansal çözünürlükte (rasterler 0,5 m çözünürlükte sağlanır) bina varlığı, kesirli bina sayıları ve bina yükseklikleri hakkında veriler içerir. Bu görüntüler, … africa annual asia built-up height open-buildings
Datasets tagged height in Earth Engine
[null,null,[],[[["\u003cp\u003eThe Open Buildings 2.5D Temporal Dataset provides annual data (2016-2023) on building presence, counts, and heights across Africa and Asia at a 4m resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL Global settlement characteristics dataset (2018) offers a 10m resolution view of human settlements, detailing their functional and height-related built environment features.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL Global building height dataset (2018) maps global building heights at a 100m resolution, leveraging data from ALOS and SRTM missions.\u003c/p\u003e\n"]]],["The Open Buildings Temporal Dataset offers annual data from 2016-2023 on building presence, counts, and heights at a 4m resolution, derived from low-resolution imagery. The GHSL dataset provides 10m resolution data on human settlements, detailing built environment characteristics and heights. Another GHSL dataset maps global building heights at 100m resolution for 2018, using data from sources like the ALOS Global Digital Surface Model.\n"],null,["# Datasets tagged height in Earth Engine\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global building height 2018 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H) |\n | This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission ... |\n | [alos](/earth-engine/datasets/tags/alos) [building](/earth-engine/datasets/tags/building) [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) |\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 | [### Open Buildings Temporal V1](/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1) |\n | The Open Buildings 2.5D Temporal Dataset contains data about building presence, fractional building counts, and building heights at an effective1 spatial resolution of 4m (rasters are provided at 0.5m resolution) at an annual cadence from 2016-2023. It is produced from open-source, low-resolution imagery from the ... |\n | [africa](/earth-engine/datasets/tags/africa) [annual](/earth-engine/datasets/tags/annual) [asia](/earth-engine/datasets/tags/asia) [built-up](/earth-engine/datasets/tags/built-up) [height](/earth-engine/datasets/tags/height) [open-buildings](/earth-engine/datasets/tags/open-buildings) |"]]