이 야간 제품의 기본 데이터 세트는 MODIS 지표 온도 데이터 (MOD11A2)이며, Weiss 외(2014)에 설명된 접근 방식을 사용하여 갭을 채워 구름 덮개와 같은 요인으로 인해 누락된 데이터를 제거했습니다. 그런 다음 갭이 없는 출력을 시간적 및 공간적으로 집계하여 월별 ≈5km 제품을 생성했습니다.
이 데이터 세트는 말라리아 아틀라스 프로젝트 (빅데이터 연구소, 옥스퍼드 대학교, 영국, https://malariaatlas.org/)의 Harry Gibson과 Daniel Weiss가 제작했습니다.
대역
Pixel Size 5000 meters
대역
이름
단위
최소
최대
픽셀 크기
설명
Mean
°C
-73.39*
37.64*
미터
집계된 각 픽셀의 야간 지표면 온도의 평균값입니다.
FilledProportion
%
0*
100*
미터
결과 픽셀 각각이 갭을 채운 추정치가 아닌 원시 데이터로 구성된 비율을 나타내는 품질 관리 밴드입니다.
Weiss, D.J., P.M. Atkinson, S. Bhatt, B. Mappin, S.I. Hay & P.W. Gething
(2014) An effective approach for gap-filling continental scale remotely
sensed time-series. ISPRS Journal of Photogrammetry and Remote Sensing,
98, 106-118.
이 야간 제품의 기본 데이터 세트는 MODIS 지표 온도 데이터 (MOD11A2)이며, Weiss 외 연구진(2014)에 설명된 접근 방식을 사용하여 갭을 채워 구름 덮개와 같은 요인으로 인해 누락된 데이터를 제거했습니다. 그런 다음 갭이 없는 출력을 시간적, 공간적으로 집계하여 월별 ≈5km …
[null,null,[],[[["\u003cp\u003eThis dataset provides monthly nighttime land surface temperature data at a 5km resolution, derived from MODIS and gap-filled to address cloud cover issues.\u003c/p\u003e\n"],["\u003cp\u003eIt covers the period from March 2001 to June 2015 and was produced by the Oxford Malaria Atlas Project.\u003c/p\u003e\n"],["\u003cp\u003eThe data includes a mean temperature band and a quality control band indicating the proportion of gap-filled data.\u003c/p\u003e\n"],["\u003cp\u003eIt is licensed under CC-BY-NC-SA-4.0 and is available for exploration and analysis within Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is particularly useful for applications related to malaria research and other temperature-sensitive studies.\u003c/p\u003e\n"]]],[],null,["# Oxford MAP LST: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature\n\nDataset Availability\n: 2001-03-01T00:00:00Z--2015-06-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Oxford Malaria Atlas Project](https://www.bdi.ox.ac.uk/research/malaria-atlas-project)\n\nCadence\n: 1 Month\n\nTags\n:\n[climate](/earth-engine/datasets/tags/climate) [lst](/earth-engine/datasets/tags/lst) [map](/earth-engine/datasets/tags/map) [oxford](/earth-engine/datasets/tags/oxford) [surface-temperature](/earth-engine/datasets/tags/surface-temperature) \n\n#### Description\n\nThe underlying dataset for this nighttime product is MODIS land surface\ntemperature data (MOD11A2), which was gap-filled using the approach outlined\nin Weiss et al. (2014) to eliminate missing data caused by factors such as\ncloud cover. Gap-free outputs were then aggregated temporally and spatially\nto produce the monthly ≈5km product.\n\nThis dataset was produced by Harry Gibson and Daniel Weiss of the\nMalaria Atlas Project (Big Data Institute, University of Oxford,\nUnited Kingdom, \u003chttps://malariaatlas.org/\u003e).\n\n### Bands\n\n\n**Pixel Size**\n\n5000 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|--------------------|-------|----------|---------|------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| `Mean` | °C | -73.39\\* | 37.64\\* | meters | The mean value of nighttime land surface temperature for each aggregated pixel. |\n| `FilledProportion` | % | 0\\* | 100\\* | meters | A quality control band that indicates the percentage of each resulting pixel that was comprised of raw data (as opposed to gap-filled estimates). |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html)\n\n### Citations\n\nCitations:\n\n- Weiss, D.J., P.M. Atkinson, S. Bhatt, B. Mappin, S.I. Hay \\& P.W. Gething\n (2014) An effective approach for gap-filling continental scale remotely\n sensed time-series. ISPRS Journal of Photogrammetry and Remote Sensing,\n 98, 106-118.\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('Oxford/MAP/LST_Night_5km_Monthly')\n .filter(ee.Filter.date('2015-01-01', '2015-12-31'));\nvar nighttimeLandSurfaceTemp = dataset.select('Mean');\nvar visParams = {\n min: -30.0,\n max: 30.0,\n palette: [\n '800080', '0000ab', '0000ff', '008000', '19ff2b', 'a8f7ff', 'ffff00',\n 'd6d600', 'ffa500', 'ff6b01', 'ff0000'\n ],\n};\nMap.setCenter(-88.6, 26.4, 1);\nMap.addLayer(\n nighttimeLandSurfaceTemp, visParams, 'Nighttime Land Surface Temperature');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/Oxford/Oxford_MAP_LST_Night_5km_Monthly) \n[Oxford MAP LST: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature](/earth-engine/datasets/catalog/Oxford_MAP_LST_Night_5km_Monthly) \nThe underlying dataset for this nighttime product is MODIS land surface temperature data (MOD11A2), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and spatially to produce the monthly ≈5km ... \nOxford/MAP/LST_Night_5km_Monthly, climate,lst,map,oxford,surface-temperature \n2001-03-01T00:00:00Z/2015-06-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.bdi.ox.ac.uk/research/malaria-atlas-project)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/Oxford_MAP_LST_Night_5km_Monthly)"]]
