Set data raster ini menggambarkan distribusi volume bangunan global, yang dinyatakan dalam meter kubik per sel petak 100 m. Set data ini mengukur total volume bangunan dan volume bangunan yang dialokasikan ke sel petak dengan penggunaan non-tempat tinggal (NRES) yang dominan. Estimasi didasarkan pada produk permukaan yang dibangun dan ketinggian bangunan.
Project Global Human Settlement Layer (GHSL) didukung oleh
European Commission, Joint Research Centre, dan Directorate-General for
Regional and Urban Policy.
Band
Ukuran Piksel 100 meter
Band
Nama
Unit
Ukuran Piksel
Deskripsi
built_volume_total
m^3
meter
Total volume bangunan per sel petak
built_volume_nres
m^3
meter
Volume bangunan non-hunian per sel petak
Persyaratan Penggunaan
Persyaratan Penggunaan
GHSL diproduksi oleh Joint Research Centre Komisi Eropa sebagai data terbuka dan gratis. Penggunaan kembali diizinkan, asalkan sumbernya
diakui. Untuk mengetahui informasi selengkapnya, baca persyaratan penggunaan (Pemberitahuan Hak Cipta dan Penggunaan Ulang Komisi Eropa).
Metodologi : Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis,
Sergio Freire, Katarzyna Krasnodebska,
Johannes H. Uhl, Alessandra Carioli, et al. (2024). Perkembangan Global Human Settlement Layer melalui Penilaian Bersama Data Pengamatan Bumi dan Survei Populasi. International Journal of Digital Earth 17(1).
doi:10.1080/17538947.2024.2390454.
Set data raster ini menggambarkan distribusi volume bangunan global, yang dinyatakan dalam meter kubik per sel petak 100 m. Set data ini mengukur total volume bangunan dan volume bangunan yang dialokasikan ke sel petak dengan penggunaan non-tempat tinggal (NRES) yang dominan. Estimasi didasarkan pada produk permukaan yang dibangun dan tinggi bangunan. …
[null,null,[],[[["\u003cp\u003eThe JRC/GHSL/P2023A/GHS_BUILT_V dataset provides global building volume data from 1975 to 2030 at a 100-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eIt includes total building volume and volume allocated to non-residential use, estimated using built-up surface and building height data.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is produced by the European Commission Joint Research Centre and is available as open and free data, with proper attribution required.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset within Google Earth Engine.\u003c/p\u003e\n"]]],["The dataset, provided by EC JRC, details global building volume from 1975 to 2030, measured in cubic meters per 100m grid cell. It includes total building volume and volume allocated to non-residential use, derived from built-up surface and building height data. Accessible via Google Earth Engine with the snippet `ee.ImageCollection(\"JRC/GHSL/P2023A/GHS_BUILT_V\")`, it is free to use with proper citation. The data can be explored on Google Earth Engine, with usage examples provided.\n"],null,["# GHSL: Global building volume 1975-2030 (P2023A)\n\nDataset Availability\n: 1975-01-01T00:00:00Z--2030-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC](https://ghsl.jrc.ec.europa.eu/ghs_buV2023.php)\n\nTags\n:\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) [jrc](/earth-engine/datasets/tags/jrc) [population](/earth-engine/datasets/tags/population) [sdg](/earth-engine/datasets/tags/sdg) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) [srtm](/earth-engine/datasets/tags/srtm) [urban](/earth-engine/datasets/tags/urban) \n\n#### Description\n\nThis raster dataset depicts the global distribution of building volume,\nexpressed in cubic metres per 100 m grid cell. The dataset measures the\ntotal building volume and the building volume allocated to grid cells of\npredominant non-residential (NRES) use. Estimates are based on the [built-up\nsurface](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S)\nand [building height](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H)\nproducts.\n\nMore information about the GHSL data products can be found in the [GHSL Data\nPackage 2023 report](https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2023.pdf?t=1683540422)\n\nThe Global Human Settlement Layer (GHSL) project is supported by the\nEuropean Commission, Joint Research Centre, and Directorate-General for\nRegional and Urban Policy.\n\n### Bands\n\n\n**Pixel Size**\n\n100 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|----------------------|-------|------------|-----------------------------------------------|\n| `built_volume_total` | m\\^3 | meters | Total building volume per grid cell |\n| `built_volume_nres` | m\\^3 | meters | Non-residential building volume per grid cell |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe GHSL has been produced by the European Commission Joint Research Centre\nas open and free data. Reuse is authorised, provided the source is\nacknowledged. For more information, please read the use conditions ([European\nCommission Reuse and Copyright Notice](https://ec.europa.eu/info/legal-notice_en)).\n\n### Citations\n\nCitations:\n\n- Dataset : Pesaresi, Martino; Politis, Panagiotis (2023):GHS-BUILT-V\n R2023A - GHS built-up volume grids derived from joint assessment of\n Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030).\n European Commission, Joint Research Centre (JRC)\n [PID: http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283](http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283)\n [doi:10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283](https://doi.org/10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283)\n- Methodology : Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis,\n Sergio Freire, Katarzyna Krasnodebska,\n Johannes H. Uhl, Alessandra Carioli, et al. (2024). Advances on the\n Global Human Settlement Layer by Joint Assessment of Earth Observation\n and Population Survey Data. International Journal of Digital Earth 17(1).\n [doi:10.1080/17538947.2024.2390454](https://doi.org/10.1080/17538947.2024.2390454).\n\n### DOIs\n\n- \u003chttps://doi.org/10.1080/17538947.2024.2390454\u003e\n- \u003chttps://doi.org/10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar image_1975 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_V/1975');\nvar image_2020 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_V/2020');\nvar volume_total_1975 = image_1975.select('built_volume_total');\nvar volume_total_2020 = image_2020.select('built_volume_total');\n\n\nvar visParams = {\n min: 0,\n max: 80000,\n palette: ['000004', '51127c', 'b73779', 'fc8961', 'fcfdbf'],\n};\n\nMap.setCenter(77.156, 28.6532, 10);\nMap.addLayer(volume_total_1975, visParams, 'Total building volume [m3], 1975');\nMap.addLayer(volume_total_2020, visParams, 'Total building volume [m3], 2020');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GHSL_P2023A_GHS_BUILT_V) \n[GHSL: Global building volume 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V) \nThis 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 surface and building height products. ... \nJRC/GHSL/P2023A/GHS_BUILT_V, alos,building,built-environment,copernicus,dem,ghsl,jrc,population,sdg,sentinel2-derived,srtm,urban \n1975-01-01T00:00:00Z/2030-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283](https://doi.org/https://ghsl.jrc.ec.europa.eu/ghs_buV2023.php)\n- [https://doi.org/10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V)"]]
