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GHSL: 都市化の程度 1975 ~ 2030 V2-0(P2023A)
このラスター データセットは、GHSL プロジェクトによって生成された 1975 ~ 2030 年の 5 年ごとのエポックに関する世界的なグリッド人口と建造物サーフェス データに基づいて、国連統計委員会が推奨する「都市化の程度」ステージ I の手法を用いて、世界規模で複数の期間にわたる農村と都市の分類を表しています。学位 ghsl jrc population sdg settlement -
GHSL: 世界各国の建物の高さ 2018(P2023A)
この空間ラスター データセットは、2018 年を基準として、建物の高さのグローバルな分布を 100 m の解像度で示しています。建物の高さを予測するために使用される入力データは、ALOS グローバル デジタル地表モデル(30 m)、NASA シャトル レーダー地形測量ミッションなどです。 alos building built built-environment builtup copernicus -
GHSL: 1975 ~ 2030 年の世界の建物量(P2023A)
このラスター データセットは、建物の容積のグローバルな分布を示しています。単位は 100 m グリッドセルあたりの立方メートルです。このデータセットは、建物の総容積と、主に非居住用(NRES)の用途のグリッドセルに割り当てられた建物の容積を測定します。推定は、蓄積された … alos building built-environment copernicus dem ghsl -
GHSL: グローバル建造物サーフェス 10 m(P2023A)
このラスター データセットは、S2 画像データから観測された 2018 年の建造物サーフェスの分布を、10 m グリッドセルあたりの平方メートルで表しています。データセットでは、a)建造物の総面積と、b)… のグリッドセルに割り当てられた建造物の面積を測定します。 built built-environment builtup copernicus ghsl jrc -
GHSL: 1975 ~ 2030 年の世界の建造物(P2023A)
このラスター データセットは、建造物が建てられている地表の分布を示しています。値は 100 m グリッドセルあたりの平方メートルで表されます。このデータセットでは、a)総建て込み面積と、b)主に非住宅(NRES)用途のグリッドセルに割り当てられた建て込み面積を測定しています。データが空間的および時間的に補間されている built built-environment builtup copernicus ghsl jrc -
GHSL: 1975 ~ 2030 年の世界の人口サーフェス(P2023A)
このラスター データセットは、居住人口の空間分布をセルの絶対人数で表しています。1975 ~ 2020 年の居住人口推計(5 年ごと)と、CIESIN GPWv4.11 から得られた 2025 年と 2030 年の予測は、国勢調査または … ghsl jrc population sdg -
GHSL: グローバル決済の特性(10 m)2018(P2023A)
この空間ラスター データセットは、人間の居住地を 10 m の解像度で描画し、建造環境の機能と高さに関連するコンポーネントの観点からその内部特性を記述します。GHSL データ プロダクトの詳細については、GHSL データ パッケージ 2023 レポートをご覧ください。 building built builtup copernicus ghsl height
Datasets tagged sdg in Earth Engine
[null,null,[],[[["\u003cp\u003eThe Global Human Settlement Layer (GHSL) datasets provide a comprehensive view of human settlements worldwide, including building heights, built-up areas, and population distribution.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets offer multi-temporal analysis capabilities, with data spanning from 1975 to 2030, including historical trends and future projections.\u003c/p\u003e\n"],["\u003cp\u003eBuilt upon global satellite imagery and census data, GHSL data is available at various resolutions (10m, 100m) for detailed analysis of urban and rural areas.\u003c/p\u003e\n"],["\u003cp\u003eThe datasets cover various aspects of the built environment such as building characteristics, volume, and the degree of urbanization, supporting diverse research and applications.\u003c/p\u003e\n"],["\u003cp\u003eGHSL data aligns with international standards like the UN Statistical Commission recommendations, enabling comparisons and integration with other global datasets.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged sdg 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 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 building volume 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V) |\n | This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up ... |\n | [alos](/earth-engine/datasets/tags/alos) [building](/earth-engine/datasets/tags/building) [built-environment](/earth-engine/datasets/tags/built-environment) [copernicus](/earth-engine/datasets/tags/copernicus) [dem](/earth-engine/datasets/tags/dem) [ghsl](/earth-engine/datasets/tags/ghsl) |\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 population surfaces 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_POP) |\n | This raster dataset depicts the spatial distribution of residential population, expressed as the absolute number of inhabitants of the cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or ... |\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) |\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) |"]]