2012년에 도입된 이후 지역 기후대 (LCZ)는 도시 경관을 특징짓는 새로운 표준으로 부상하여 미세 규모의 토지 피복과 관련 물리적 속성을 고려하는 전체적인 분류 접근 방식을 제공합니다.
픽셀 크기가 100m이고 기준 연도 2018년을 대표하는 지역 기후대의 이 전역 지도는 여러 지구 관측 데이터 세트와 전문가 LCZ 클래스 라벨에서 파생되었습니다. LCZ_Filter는 대부분의 사용자에게 권장되는 밴드입니다. 다른 분류 밴드인 LCZ는 LCZ_Probability 밴드를 계산하는 데 사용되므로 제공됩니다.
LCZ 체계는 도시 및 농촌 경관 유형에 중점을 두어 다른 토지 이용 / 토지 피복 체계를 보완합니다. 이러한 유형은 LCZ 체계의 17개 클래스로 설명할 수 있습니다. 17개의 LCZ 클래스 중 10개는 '건축' 환경을 반영하며 각 LCZ 유형은 도시화에 대한 모델 대기 반응에 중요한 주요 도시 캐노피 매개변수의 일반적인 숫자 설명과 연결됩니다. 또한 LCZ는 원래 도시 열섬 연구를 위한 새로운 프레임워크로 설계되었으므로 '관리' 또는 '자연 참조' 영역으로 사용할 수 있는 제한된 '자연' 토지 피복 클래스 (7개)도 포함되어 있습니다.
LCZ 계획의 이러한 7가지 자연 클래스는 세계의 기존 자연 생태계의 이질성을 포착할 수 없으므로 필요한 경우 사용자는 빌드된 LCZ 클래스를 더 넓은 범위의 자연 지표 클래스를 제공하는 다른 지표 제품과 결합하는 것이 좋습니다.
Demuzere M.; Kittner J.; Martilli A.; Mills, G.; Moede, C.; Stewart, I.D.; van Vliet, J.; Bechtel, B.
지구 시스템 모델링 및 도시 규모 환경 과학을 지원하는 지역 기후대의 전 세계 지도
Earth System Science Data 2022, 14 Volume 8: 3835-3873.
doi:10.5194/essd-14-3835-2022
[null,null,[],[[["\u003cp\u003eThis dataset provides a global map of Local Climate Zones (LCZs) at a 100m resolution for the nominal year 2018.\u003c/p\u003e\n"],["\u003cp\u003eLCZs offer a standardized classification of urban landscapes, incorporating micro-scale land cover and physical properties for climate studies.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes 17 LCZ classes, representing both built environments (10) and natural land cover types (7).\u003c/p\u003e\n"],["\u003cp\u003eThe 'LCZ_Filter' band is recommended for general use, offering a morphologically filtered LCZ classification.\u003c/p\u003e\n"],["\u003cp\u003eUsers may combine the built LCZ classes with other land cover products for more detailed analyses of natural ecosystems.\u003c/p\u003e\n"]]],[],null,["# Global map of Local Climate Zones, latest version\n\nDataset Availability\n: 2018-01-01T00:00:00Z--2019-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Bochum Urban Climate Lab](https://lcz-generator.rub.de/global-lcz-map)\n\nTags\n:\n[climate](/earth-engine/datasets/tags/climate) [landcover](/earth-engine/datasets/tags/landcover) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [urban](/earth-engine/datasets/tags/urban) \n\n#### Description\n\nSince their introduction in 2012, Local Climate Zones (LCZs) emerged as\na new standard for characterizing urban landscapes, providing a holistic\nclassification approach that takes into account micro-scale land-cover and\nassociated physical properties.\n\nThis global map of Local Climate Zones, at 100m pixel size and\nrepresentative for the nominal year 2018, is derived from multiple earth\nobservation datasets and expert LCZ class labels. LCZ_Filter is the\nrecommended band for most users. The other classification band, LCZ, is\nonly provided as it is used to calculate the LCZ_Probability band.\n\nThe LCZ scheme complements other land use / land cover schemes by\nits focus on urban and rural landscape types, which can be described by\nany of the 17 classes in the LCZ scheme. Out of the 17 LCZ classes, 10\nreflect the 'built' environment, and each LCZ type is associated with\ngeneric numerical descriptions of key urban canopy parameters critical to\nmodel atmospheric responses to urbanisation. In addition, since LCZs were\noriginally designed as a new framework for urban heat island studies, they\nalso contain a limited set (7) of 'natural' land-cover classes that can be\nused as 'control' or 'natural reference' areas.\n\nAs these seven natural classes in the LCZ scheme can not capture the\nheterogeneity of the world's existing natural ecosystems, we advise\nusers - if required - to combine the built LCZ classes with any other\nland-cover product that provides a wider range of natural land-cover\nclasses.\n\nSee also:\n\n- [LCZ Typology](https://doi.org/10.1175/BAMS-D-11-00019.1)\n\n- [Global map of LCZs - paper](https://doi.org/10.5194/essd-14-3835-2022)\n\n- [Global map of LCZs - dataset](https://doi.org/10.5281/zenodo.6364593)\n\n- [LCZ Gaussian filtering](https://doi.org/10.1038/s41597-020-00605-z)\n\n### Bands\n\n\n**Pixel Size**\n\n100 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|-------------------|-------|------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `LCZ` | | meters | The raw, pixel-based global LCZ map with LCZ classes |\n| `LCZ_Filter` | | meters | The recommended global LCZ map with LCZ classes. LCZ labels are obtained after applying the morphological Gaussian filter described in Demuzere et al. (2020) |\n| `LCZ_Probability` | % | meters | A probability layer that identifies how often the modal LCZ was chosen per pixel (e.g. a probability of 60% means that the modal LCZ class was mapped 30 times out of 50 LCZ models). This is a pixel-based probability derived from the LCZ layer |\n\n**LCZ Class Table**\n\n| Value | Color | Description |\n|-------|---------|----------------------------|\n| 1 | #8c0000 | Compact highrise |\n| 2 | #d10000 | Compact midrise |\n| 3 | #ff0000 | Compact lowrise |\n| 4 | #bf4d00 | Open highrise |\n| 5 | #ff6600 | Open midrise |\n| 6 | #ff9955 | Open lowrise |\n| 7 | #faee05 | Lightweight lowrise |\n| 8 | #bcbcbc | Large lowrise |\n| 9 | #ffccaa | Sparsely built |\n| 10 | #555555 | Heavy industry |\n| 11 | #006a00 | Dense Trees (LCZ A) |\n| 12 | #00aa00 | Scattered Trees (LCZ B) |\n| 13 | #648525 | Bush, scrub (LCZ C) |\n| 14 | #b9db79 | Low plants (LCZ D) |\n| 15 | #000000 | Bare rock or paved (LCZ E) |\n| 16 | #fbf7ae | Bare soil or sand (LCZ F) |\n| 17 | #6a6aff | Water (LCZ G) |\n\n**LCZ_Filter Class Table**\n\n| Value | Color | Description |\n|-------|---------|----------------------------|\n| 1 | #8c0000 | Compact highrise |\n| 2 | #d10000 | Compact midrise |\n| 3 | #ff0000 | Compact lowrise |\n| 4 | #bf4d00 | Open highrise |\n| 5 | #ff6600 | Open midrise |\n| 6 | #ff9955 | Open lowrise |\n| 7 | #faee05 | Lightweight lowrise |\n| 8 | #bcbcbc | Large lowrise |\n| 9 | #ffccaa | Sparsely built |\n| 10 | #555555 | Heavy industry |\n| 11 | #006a00 | Dense Trees (LCZ A) |\n| 12 | #00aa00 | Scattered Trees (LCZ B) |\n| 13 | #648525 | Bush, scrub (LCZ C) |\n| 14 | #b9db79 | Low plants (LCZ D) |\n| 15 | #000000 | Bare rock or paved (LCZ E) |\n| 16 | #fbf7ae | Bare soil or sand (LCZ F) |\n| 17 | #6a6aff | Water (LCZ G) |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Demuzere M.; Kittner J.; Martilli A.; Mills, G.; Moede, C.; Stewart, I.D.; van Vliet, J.; Bechtel, B.\n A global map of local climate zones to support earth system modelling and urban-scale environmental science.\n Earth System Science Data 2022, 14 Volume 8: 3835-3873.\n [doi:10.5194/essd-14-3835-2022](https://doi.org/10.5194/essd-14-3835-2022)\n\n### DOIs\n\n- \u003chttps://doi.org/10.5281/zenodo.6364593\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 dataset = ee.ImageCollection('RUB/RUBCLIM/LCZ/global_lcz_map/latest')\n .mosaic();\n\nvar visualization = {\n bands: ['LCZ_Filter'],\n min: 1,\n max: 17,\n palette: [\n '8c0000','d10000','ff0000','bf4d00','ff6600',\n 'ff9955','faee05','bcbcbc','ffccaa','555555',\n '006a00','00aa00','648525','b9db79','000000',\n 'fbf7ae','6a6aff'\n ]\n};\n\nMap.setCenter(7.26, 51.44, 6);\nMap.addLayer(dataset, visualization, 'LCZ_Filter');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/RUB/RUB_RUBCLIM_LCZ_global_lcz_map_latest) \n[Global map of Local Climate Zones, latest version](/earth-engine/datasets/catalog/RUB_RUBCLIM_LCZ_global_lcz_map_latest) \nSince their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for characterizing urban landscapes, providing a holistic classification approach that takes into account micro-scale land-cover and associated physical properties. This global map of Local Climate Zones, at 100m pixel size and representative for the nominal year ... \nRUB/RUBCLIM/LCZ/global_lcz_map/latest, climate,landcover,landuse-landcover,urban \n2018-01-01T00:00:00Z/2019-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5281/zenodo.6364593](https://doi.org/https://lcz-generator.rub.de/global-lcz-map)\n- [https://doi.org/10.5281/zenodo.6364593](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/RUB_RUBCLIM_LCZ_global_lcz_map_latest)"]]
