Set data vektor besar ini berisi pemetaan polusi udara beresolusi tinggi untuk konsentrasi NO, NO2, O3, CH4, CO2, BC, PN2.5, dan UFP di California antara Juni 2015 dan Juni 2019.
Set data ini terdiri dari pengukuran yang dikumpulkan menggunakan empat kendaraan Google Street View yang dilengkapi dengan platform pengukuran bergerak dan integrasi data Aclima dari 28-05-2015 hingga 07-06-2019. Tidak semua empat mobil aktif memetakan selama jangka waktu tersebut. Perhatikan bahwa mungkin ada kesenjangan dalam data
jika pemetaan mobil tertentu tidak dilakukan karena kesulitan operasional, mekanis, atau
sistem.
Tanggal pengoperasian untuk masing-masing dari empat mobil:
Mobil A: 03-05-2016 - 30-04-2019
Mobil B: 03-05-2016 - 08-06-2018
Car C: 28-05-2015 - 07-06-2019
Mobil D: 24-06-2015 - 05-11-2018
Data dikumpulkan di beberapa wilayah geografis California, termasuk
Wilayah Teluk San Francisco, Los Angeles, dan San Joaquin Valley bagian utara.
Pemetaan dilakukan di lingkungan atau kota yang ditargetkan dalam wilayah ini.
Set data ini berisi tabel berjudul "California_Unified_2015_2019" yang terdiri dari konsentrasi polutan Ozon (O3), Nitrogen Dioksida (NO2), Nitrogen Monoksida (NO), Metana (CH4), Karbon Dioksida (CO2), Karbon Hitam (BC), jumlah partikel berukuran kurang dari 2,5 mikrometer (PN2.5), dan Partikel Sangat Halus (UFP) yang diukur menggunakan empat mobil Google Street View yang dilengkapi dengan instrumen kelas laboratorium dengan respons waktu cepat.
Data dikumpulkan pada resolusi waktu 1 Hz dari 28/05/2015 hingga 07/06/2019 untuk jalan di tiga wilayah California - wilayah San Francisco Bay, Los Angeles, dan San Joaquin Valley utara. Area spesifik yang dipetakan bervariasi menurut wilayah berdasarkan cakupan data spasial dan pertanyaan ilmiah yang diinginkan. Setiap titik data diberi geolokasi dengan lintang dan bujur, serta identitas dan kecepatan mobil.
Untuk mengetahui detail termasuk metodologi, standar, penyedia data, definisi dan deskripsi kolom metadata, lihat metadata.
Skema Tabel
Skema Tabel
Nama
Jenis
Deskripsi
BC
DOUBLE
Konsentrasi karbon hitam
CH4
DOUBLE
Rasio pencampuran udara kering metana
CO2
DOUBLE
Rasio pencampuran karbon dioksida
Car_Identifier
STRING
ID unik untuk keempat kendaraan (Car_A/B/C/D)
Car_Speed
DOUBLE
Kecepatan mobil
Date_Time
STRING
Waktu dalam UTC, format YYYY-MM-DD hh:mm:ss
Metadata_Link
STRING
Link ke dokumen
TIDAK
DOUBLE
Rasio pencampuran nitrogen monoksida
NO2
DOUBLE
Rasio pencampuran nitrogen dioksida
NO2_Overrange
STRING
Flag boolean yang menunjukkan bahwa nilai terukur lebih tinggi daripada
rentang pengoperasian spesifikasi instrumen. Kolom ini dapat
dikosongkan.
NO_Overrange
STRING
Flag boolean yang menunjukkan bahwa nilai terukur lebih tinggi daripada
rentang pengoperasian spesifikasi instrumen. Kolom ini dapat
dikosongkan.
O3
DOUBLE
Rasio pencampuran ozon
PN1
DOUBLE
Konsentrasi jumlah partikel antara 0,3 dan 0,5 μm
PN2
DOUBLE
Konsentrasi jumlah partikel antara 0,5 dan 0,7 μm
PN3
DOUBLE
Konsentrasi jumlah partikel antara 0,7 dan 1,0 μm
PN4
DOUBLE
Konsentrasi jumlah partikel antara 1,0 dan 1,5 μm
PN5
DOUBLE
Konsentrasi jumlah partikel antara 1,5 dan 2,5 μm
PN_Overrange
STRING
Flag boolean yang menunjukkan bahwa nilai terukur lebih tinggi daripada
rentang pengoperasian spesifikasi instrumen. Kolom ini dapat
dikosongkan.
UFP
DOUBLE
Konsentrasi jumlah partikel total lebih besar dari 3 nm
UFP_Overrange
STRING
Flag boolean yang menunjukkan bahwa nilai terukur lebih tinggi daripada
rentang pengoperasian spesifikasi instrumen. Kolom ini dapat
dikosongkan.
Set data vektor besar ini berisi pemetaan polusi udara beresolusi tinggi untuk konsentrasi NO, NO2, O3, CH4, CO2, BC, PN2.5, dan UFP di California antara Juni 2015 dan Juni 2019. Set data terdiri dari pengukuran yang dikumpulkan menggunakan empat kendaraan Google Street View yang dilengkapi dengan integrasi data dan pengukuran seluler Aclima …
[null,null,[],[[["\u003cp\u003eThis dataset provides high-resolution air pollution data for California, including NO, NO2, O3, CH4, CO2, BC, PN2.5, and UFP concentrations.\u003c/p\u003e\n"],["\u003cp\u003eData was collected from 2015 to 2019 using four Google Street View cars equipped with Aclima's mobile measurement platform.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset covers regions in California including the San Francisco Bay Area, Los Angeles, and the northern San Joaquin Valley.\u003c/p\u003e\n"],["\u003cp\u003eMeasurements were taken at 1-Hz time resolution and include geolocation data (latitude, longitude) along with car speed and identifier.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under a CC-BY-NC-4.0 license and requires attribution to Google and Aclima.\u003c/p\u003e\n"]]],["The dataset provides air pollution data for California from May 2015 to June 2019, gathered by four Google Street View vehicles. These vehicles measured concentrations of NO, NO2, O3, CH4, CO2, BC, PN2.5, and UFP in regions like the San Francisco Bay Area and Los Angeles. Data points are geolocated and include car identity and speed. The table schema, available for use in earth engine, includes the concentration of pollutants and details like date, time, and car identifier.\n"],null,["# Google Street View Air Quality: High Resolution Air Pollution Mapping in California\n\nDataset Availability\n: 2015-05-28T00:00:00Z--2019-06-07T00:00:00Z\n\nDataset Provider\n:\n\n\n [Google / Aclima](https://medium.com/google-earth/powering-new-research-with-hyperlocal-air-pollution-data-c9947359e87e)\n\nTags\n:\n[air-quality](/earth-engine/datasets/tags/air-quality) [atmosphere](/earth-engine/datasets/tags/atmosphere) [nitrogen-dioxide](/earth-engine/datasets/tags/nitrogen-dioxide) [pollution](/earth-engine/datasets/tags/pollution) [table](/earth-engine/datasets/tags/table) \n\n#### Description\n\nThis large vector dataset contains high resolution air pollution mapping of\nNO, NO2, O3, CH4, CO2, BC, PN2.5, and UFP concentrations in California\nbetween June 2015 and June 2019.\n\nThe dataset consists of measurements collected using four Google Street View\nvehicles equipped with the Aclima mobile measurement and data integration\nplatform from 2015-05-28 to 2019-06-07. Not all four cars were actively\nmapping over the entire time frame. Note that there may be gaps in the data\nwhen an individual car was not mapping due to operational, mechanical, or\nsystem difficulties.\n\nDates of operation for each of the four cars:\n\n- Car A: 2016-05-03 - 2019-04-30\n- Car B: 2016-05-03 - 2018-06-08\n- Car C: 2015-05-28 - 2019-06-07\n- Car D: 2015-06-24 - 2018-11-05\n\nData was collected in several geographic regions of California including the\nSan Francisco Bay Area, Los Angeles, and the northern San Joaquin Valley.\nMapping occurred in targeted neighborhoods or cities within these regions.\nThe data set contains a table titled \"California_Unified_2015_2019\" which\nconsists of the concentration of the pollutants Ozone (O3), Nitrogen Dioxide\n(NO2), Nitrogen Monoxide (NO), Methane (CH4), Carbon Dioxide (CO2),\nBlack Carbon (BC), particle number less than 2.5 micrometers in size\n(PN2.5), and Ultrafine Particles (UFP) measured using four Google Street\nView cars equipped with fast time-response, laboratory-grade instruments.\nThe data was collected at 1-Hz time resolution from 20150528 to 20190607 for\nroads in three regions of California - the San Francisco Bay area,\nLos Angeles, and the northern San Joaquin Valley. Specific areas mapped\nvaried by region based on desired spatial data coverage and science\nquestions. Each data point is geolocated with latitude and longitude as\nwell as the identity and speed of the car.\n\nFor details including methodologies, standards, data providers,\nmetadata field definitions and descriptions, refer to the\n[metadata](https://docs.google.com/document/d/1If15JccoJcN01Jg3ljN3V-qUFS0HywKAd4OsQ-_JXJo/view).\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|----------------|--------|--------------------------------------------------------------------------------------------------------------------------------------------|\n| BC | DOUBLE | Black carbon concentration |\n| CH4 | DOUBLE | Methane dry air mixing ratio |\n| CO2 | DOUBLE | Carbon dioxide mixing ratio |\n| Car_Identifier | STRING | Unique identifier for the four vehicles (Car_A/B/C/D) |\n| Car_Speed | DOUBLE | Car speed |\n| Date_Time | STRING | Time in UTC, format YYYY-MM-DD hh:mm:ss |\n| Metadata_Link | STRING | Link to the document |\n| NO | DOUBLE | Nitrogen monoxide mixing ratio |\n| NO2 | DOUBLE | Nitrogen dioxide mixing ratio |\n| NO2_Overrange | STRING | Boolean flag indicating the measured value was higher than the operating range of the instrument's specification. This field can be empty. |\n| NO_Overrange | STRING | Boolean flag indicating the measured value was higher than the operating range of the instrument's specification. This field can be empty. |\n| O3 | DOUBLE | Ozone mixing ratio |\n| PN1 | DOUBLE | Particle number concentration between 0.3 and 0.5 μm |\n| PN2 | DOUBLE | Particle number concentration between 0.5 and 0.7 μm |\n| PN3 | DOUBLE | Particle number concentration between 0.7 and 1.0 μm |\n| PN4 | DOUBLE | Particle number concentration between 1.0 and 1.5 μm |\n| PN5 | DOUBLE | Particle number concentration between 1.5 and 2.5 μm |\n| PN_Overrange | STRING | Boolean flag indicating the measured value was higher than the operating range of the instrument's specification. This field can be empty. |\n| UFP | DOUBLE | Total particle number concentration greater than 3 nm |\n| UFP_Overrange | STRING | Boolean flag indicating the measured value was higher than the operating range of the instrument's specification. This field can be empty. |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-NC-4.0](https://spdx.org/licenses/CC-BY-NC-4.0.html)\n\n### Citations\n\nCitations:\n\n- with the text \"Air Quality Data from Google and Aclima\"\n\n Citation for publications: Google and Aclima 2019: Project Air View California 2015-2019\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 fc = ee.FeatureCollection('GOOGLE/AirView/California_Unified_2015_2019');\n\nvar normal = fc.filter('NO2 \u003e= 0 && NO2 \u003c 1');\nvar mild = fc.filter('NO2 \u003e= 1 && NO2 \u003c 2');\nvar strong = fc.filter('NO2 \u003e= 2');\n\nMap.addLayer(normal, {color: 'green'}, 'NO2 [0; 1)');\nMap.addLayer(mild, {color: 'yellow'}, 'NO2 [1; 2)');\nMap.addLayer(strong, {color: 'red'}, 'NO2 \u003e= 2');\nMap.setCenter(-122.827746, 38.4001353, 20);\nMap.setOptions('SATELLITE');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/GOOGLE/GOOGLE_AirView_California_Unified_2015_2019) \n[Google Street View Air Quality: High Resolution Air Pollution Mapping in California](/earth-engine/datasets/catalog/GOOGLE_AirView_California_Unified_2015_2019) \nThis large vector dataset contains high resolution air pollution mapping of NO, NO2, O3, CH4, CO2, BC, PN2.5, and UFP concentrations in California between June 2015 and June 2019. The dataset consists of measurements collected using four Google Street View vehicles equipped with the Aclima mobile measurement and data integration ... \nGOOGLE/AirView/California_Unified_2015_2019, air-quality,atmosphere,nitrogen-dioxide,pollution,table \n2015-05-28T00:00:00Z/2019-06-07T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://medium.com/google-earth/powering-new-research-with-hyperlocal-air-pollution-data-c9947359e87e)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_AirView_California_Unified_2015_2019)"]]
