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GHSL: Global building height 2018 (P2023A)
מערך הנתונים הרסטרי המרחבי הזה מציג את ההתפלגות הגלובלית של גובה הבניינים ברזולוציה של 100 מ', בהתייחסות לשנת 2018. נתוני הקלט ששימשו לחיזוי גובה המבנים הם מודל פני השטח הדיגיטלי הגלובלי של ALOS (30 מ'), משימת Shuttle Radar Topographic Mission של NASA… alos building built built-environment builtup copernicus -
GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
מערך הנתונים הרסטרי המרחבי הזה מתאר את ההתיישבויות האנושיות ברזולוציה של 10 מ', ומפרט את המאפיינים הפנימיים שלהן מבחינת הרכיבים הפונקציונליים והקשורים לגובה של הסביבה הבנויה. מידע נוסף על מוצרי הנתונים של GHSL זמין בדוח GHSL Data Package 2023 … building built builtup copernicus ghsl height -
Open Buildings Temporal V1
מערך הנתונים הזמני של Open Buildings 2.5D מכיל נתונים על נוכחות של מבנים, על מספרי מבנים חלקיים ועל גובה המבנים ברזולוציה מרחבית יעילה1 של 4 מ' (רסטרים מוצגים ברזולוציה של 0.5 מ') בקצב שנתי מ-2016 עד 2023. הוא נוצר מתמונות ברזולוציה נמוכה בקוד פתוח מהאתר … 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) |"]]