남극의 Landsat 이미지 모자이크 (LIMA)는 처리된 Landsat 7 ETM+ 장면에서 생성된 원활하고 사실상 구름이 없는 모자이크입니다.
처리된 Landsat 장면 (16비트)은 16비트로 변환되고, 태양 각도 보정으로 처리되고, 반사율 값으로 변환된 Level 1Gt NLAPS 장면입니다(Bindschadler 2008).
각 Landsat 장면은 지표면 특징이 정확하게 표현되도록 고도 데이터와 태양 각도 보정을 사용하여 처리됩니다. 남극의 태양 각도로 인해 태양이 지는 것처럼 보입니다. Landsat이 남극을 통과할 때 태양 각도가 낮기 때문에 대륙의 바깥쪽 가장자리가 남극에 가까운 지역보다 밝게 표시되므로 장면에는 밝은 영역과 어두운 영역이 있습니다.
이러한 장면에서 수정된 일관되지 않은 태양 각도와 그림자 이 프로세스가 없으면 각 장면에는 밝은 쪽과 어두운 쪽이 있으므로 모자이크 처리하면 장면이 패치워크처럼 됩니다.
이 이미지는 퍼블릭 도메인에 속하며 출처 표시 없이 자유롭게 사용할 수 있습니다. 하지만 Landsat Image Mosaic of Antarctica (LIMA) 프로젝트에 대한 출처 표시는 대단히 감사드립니다.
인용
인용:
Bindschadler, R., Vornberger, P., Fleming, A., Fox, A., Mullins, J.,
Binnie, D., Paulson, S., Granneman, B., and Gorodetzky, D., 2008,
The Landsat Image Mosaic of Antarctica, Remote Sensing of
Environment, 112, pp. 4214-4226.
PDF
남극의 Landsat 이미지 모자이크 (LIMA)는 처리된 Landsat 7 ETM+ 장면에서 생성된 매끄럽고 사실상 구름이 없는 모자이크입니다. 처리된 Landsat 장면 (16비트)은 16비트로 변환되고, 태양 각도 보정으로 처리되고, 반사율 값으로 변환된 레벨 1Gt NLAPS 장면입니다 (Bindschadler 2008). 각 Landsat 장면은 다음과 같습니다.
[null,null,[],[[["\u003cp\u003eUSGS LIMA is a cloud-free Landsat 7 ETM+ mosaic of Antarctica, created from scenes processed to reflectance values with sun-angle correction.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset provides a table containing metadata for the USGS/LIMA/SR Image Collection, including acquisition date, sensor, and scene ID.\u003c/p\u003e\n"],["\u003cp\u003eLIMA data covers the period from June 30, 1999, to September 4, 2002, and is freely available for use without acknowledgment.\u003c/p\u003e\n"],["\u003cp\u003eEach Landsat scene in the mosaic was individually processed using elevation data and sun-angle correction to ensure accurate representation of surface features.\u003c/p\u003e\n"],["\u003cp\u003eThe metadata table schema includes fields such as acquisition date, WRS path/row, polygon ID, scene ID, sensor, and satellite name.\u003c/p\u003e\n"]]],["The Landsat Image Mosaic of Antarctica (LIMA), provided by USGS, is a cloudless mosaic from processed Landsat 7 ETM+ scenes. Data, available from 1999-06-30 to 2002-09-04, are level 1Gt NLAPS scenes converted to 16-bit reflectance values with sun-angle correction. Metadata for the collection can be accessed via `ee.FeatureCollection(\"USGS/LIMA/SR_METADATA\")` in Earth Engine, providing acquisition date, path, row, scene ID, sensor, and satellite information. These images are public domain.\n"],null,["# Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit) Metadata\n\nDataset Availability\n: 1999-06-30T00:00:00Z--2002-09-04T00:00:00Z\n\nDataset Provider\n:\n\n\n [USGS](https://lima.usgs.gov/index.php)\n\nTags\n:\n[antarctica](/earth-engine/datasets/tags/antarctica) [ice](/earth-engine/datasets/tags/ice) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [lima](/earth-engine/datasets/tags/lima) [mosaic](/earth-engine/datasets/tags/mosaic) [satellite-imagery](/earth-engine/datasets/tags/satellite-imagery) [sr](/earth-engine/datasets/tags/sr) [table](/earth-engine/datasets/tags/table) [usgs](/earth-engine/datasets/tags/usgs) \n\n#### Description\n\nThe Landsat Image Mosaic of Antarctica (LIMA) is a seamless\nand virtually cloudless mosaic created from processed\nLandsat 7 ETM+ scenes.\n\nProcessed Landsat Scenes (16 bit) are Level 1Gt NLAPS\nscenes converted to 16 bit, processed with sun-angle\ncorrection, and converted to reflectance values\n([Bindschadler 2008](https://lima.usgs.gov/LIMA_paper.pdf)).\n\nEach Landsat scene is processed with elevation\ndata and sun-angle correction to ensure surface features\nwere accurately represented. The sun's angle in Antarctica\ngives the appearance of a setting sun. Because of the low\nsun angle, as Landsat passes over Antarctica, the outer\nedges of the continent appear brighter than areas closer\nto the South Pole, so scenes have bright and dark areas.\nInconsistent sun angles and shadows where corrected for\nthese scenes. Without this process, mosaicking would produce\na patchwork of scenes since each scene would have a brighter\nand a darker side.\n\nThis is a table which contains metadata for the Image Collection\n[USGS/LIMA/SR](/earth-engine/datasets/catalog/USGS_LIMA_SR)\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|----------|--------|-------------------------------------------|\n| ACQ_DATE | STRING | Acquisition date in YYYY-MM-DD format |\n| PATH | INT | WRS path |\n| POLY_ID | INT | Unique ID assigned to a polygon |\n| ROW | INT | WRS row |\n| SCENE_ID | STRING | Scene ID |\n| SENSOR | STRING | Sensor |\n| SPACE | STRING | Name of the satellite used to gather data |\n\n### Terms of Use\n\n**Terms of Use**\n\nThese images are in the public domain and can be used freely\nand without acknowledgement. However, credit to the Landsat\nImage Mosaic of Antarctica (LIMA) Project is greatly appreciated.\n\n### Citations\n\nCitations:\n\n- Bindschadler, R., Vornberger, P., Fleming, A., Fox, A., Mullins, J.,\n Binnie, D., Paulson, S., Granneman, B., and Gorodetzky, D., 2008,\n The Landsat Image Mosaic of Antarctica, Remote Sensing of\n Environment, 112, pp. 4214-4226.\n [PDF](https://lima.usgs.gov/LIMA_paper.pdf)\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.FeatureCollection('USGS/LIMA/SR_METADATA');\n\n// Calculate the age of each feature by subtracting\n// the acquisition date from \"today\".\nvar feature_ages = dataset.map(\n function(feature) {\n var today = ee.Date.fromYMD(2024, 1, 12);\n var acq_date = ee.Date.parse(\n 'yyyy-MM-dd', feature.get('ACQ_DATE'));\n var diff = today.difference(acq_date, 'day');\n return feature.set({'ACQ_AGE': diff});\n }\n);\n\n// Reduce by calculating the smallest ACQ_AGE,\n// which gives the most recent acquisition date for\n// that area.\nvar reduced_ages = feature_ages.reduceToImage({\n properties: ['ACQ_AGE'],\n reducer: ee.Reducer.min()\n});\n\nvar reduced_ages_vis = {\n min: 6000,\n max: 9000,\n palette: ['00ff00', 'ff0000'],\n};\n\nvar lon = -43.6;\nvar lat = -74.2;\nvar gray = 150;\nvar background = ee.Image.rgb(gray, gray, gray).visualize({min: 0, max: 255});\n\nMap.setCenter(lon, lat, 2);\nMap.addLayer(\n reduced_ages,\n reduced_ages_vis,\n 'Acquisition Age');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/USGS/USGS_LIMA_SR_METADATA) \n[Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit) Metadata](/earth-engine/datasets/catalog/USGS_LIMA_SR_METADATA) \nThe Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS scenes converted to 16 bit, processed with sun-angle correction, and converted to reflectance values (Bindschadler 2008). Each Landsat scene is ... \nUSGS/LIMA/SR_METADATA, antarctica,ice,landsat-derived,lima,mosaic,satellite-imagery,sr,table,usgs \n1999-06-30T00:00:00Z/2002-09-04T00:00:00Z \n-90 -180 -55 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://lima.usgs.gov/index.php)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_SR_METADATA)"]]