-
GHSL: Global building height 2018 (P2023A)
تعرض مجموعة البيانات المركّبة المكانية هذه التوزيع العالمي لارتفاعات المباني بدقة 100 متر، مع الإشارة إلى العام 2018. بيانات الإدخال المستخدَمة لتوقّع ارتفاعات المباني هي نموذج ALOS Global Digital Surface (30 مترًا) ومهمة NASA Shuttle Radar Topographic Mission … alos building built built-environment builtup copernicus -
GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
تحدِّد مجموعة البيانات المركّبة المكانية هذه المستوطنات البشرية بدرجة دقة تبلغ 10 أمتار، وتوضِّح خصائصها الداخلية من حيث المكونات الوظيفية والمرتبطة بالارتفاع للبيئة المبنية. يمكن العثور على مزيد من المعلومات حول منتجات بيانات GHSL في تقرير حزمة بيانات GHSL لعام 2023. building built builtup copernicus ghsl height -
Open Buildings Temporal V1
تتضمّن مجموعة البيانات الزمنية Open Buildings 2.5D بيانات عن مدى توفّر المباني وأعدادها النسبية وارتفاعاتها بدرجة دقة مكانية فعالة1 تبلغ 4 أمتار (يتم توفير الصور المركّزة بدرجة دقة تبلغ 0.5 متر) بمعدّل سنوي من 2016 إلى 2023. يتم إنتاجه من صور مفتوحة المصدر منخفضة الدقة من … أفريقيا سنوي آسيا الارتفاع للمناطق المبنية المباني المفتوحة
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) |"]]