This dataset is a China terrace map at 30 m resolution in 2018. It was
developed through supervised pixel-based classification using multisource and
multi-temporal data based on the Google Earth Engine platform. The overall
accuracy and kappa coefficient achieved 94% and 0.72, respectively. This first
30 m China terrace map can be used for studies on soil erosion, food
security, biogeochemical cycle, biodiversity, and ecosystem service
assessments.
Cao, B., Yu, L., Naipal, V., Ciais, P., Li, W., Zhao, Y., Wei, W.,
Chen, D., Liu, Z., and Gong, P.: A 30 m terrace mapping in China using
Landsat 8 imagery and digital elevation model based on the Google Earth
Engine, Earth Syst. Sci. Data, 13, 2437-2456,doi:10.5194/essd-13-2437-2021, 2021.
This dataset is a China terrace map at 30 m resolution in 2018. It was developed through supervised pixel-based classification using multisource and multi-temporal data based on the Google Earth Engine platform. The overall accuracy and kappa coefficient achieved 94% and 0.72, respectively. This first 30 m China terrace map …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset provides a 30-meter resolution map of terraces in China from 2018, created using supervised classification on the Google Earth Engine platform.\u003c/p\u003e\n"],["\u003cp\u003eIt achieves high accuracy with an overall accuracy of 94% and a kappa coefficient of 0.72.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is useful for research related to soil erosion, food security, biogeochemical cycles, biodiversity, and ecosystem services.\u003c/p\u003e\n"],["\u003cp\u003eThe map identifies terrace presence with a value of 1 and absence with a value of 0.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under the CC-BY-4.0 license and users are encouraged to cite the original research publication.\u003c/p\u003e\n"]]],[],null,["# DESS China Terrace Map v1\n\nDataset Availability\n: 2018-01-01T00:00:00Z--2019-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Department of Earth System Science, Tsinghua University (DESS, THU)](https://essd.copernicus.org/articles/13/2437/2021/)\n\nTags\n:\n [agriculture](/earth-engine/datasets/tags/agriculture) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [tsinghua](/earth-engine/datasets/tags/tsinghua) \n china \n dess \nterrace \n\n#### Description\n\nThis dataset is a China terrace map at 30 m resolution in 2018. It was\ndeveloped through supervised pixel-based classification using multisource and\nmulti-temporal data based on the Google Earth Engine platform. The overall\naccuracy and kappa coefficient achieved 94% and 0.72, respectively. This first\n30 m China terrace map can be used for studies on soil erosion, food\nsecurity, biogeochemical cycle, biodiversity, and ecosystem service\nassessments.\n\n### Bands\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|-----------|------------|------------------------------------------------|\n| `terrace` | 30 meters | 1 when a terrace is present, 0 when it is not. |\n\n**terrace Class Table**\n\n| Value | Color | Description |\n|-------|---------|------------------|\n| 0 | #ffffff | No terraces |\n| 1 | #a3ff74 | Terraces present |\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- Cao, B., Yu, L., Naipal, V., Ciais, P., Li, W., Zhao, Y., Wei, W.,\n Chen, D., Liu, Z., and Gong, P.: A 30 m terrace mapping in China using\n Landsat 8 imagery and digital elevation model based on the Google Earth\n Engine, Earth Syst. Sci. Data, 13, 2437-2456,\n [doi:10.5194/essd-13-2437-2021](https://doi.org/10.5194/essd-13-2437-2021), 2021.\n\n### DOIs\n\n- \u003chttps://doi.org/10.5194/essd-13-2437-2021\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 = ee.Image('Tsinghua/DESS/ChinaTerraceMap/v1');\n\nvar image = image.updateMask(image);\nMap.addLayer(image, {min: 0, max: 1, palette: ['a3ff74']}, 'Terraces');\n\nMap.setCenter(106.6, 30.4, 10);\nMap.setOptions('SATELLITE');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/Tsinghua/Tsinghua_DESS_ChinaTerraceMap_v1) \n[DESS China Terrace Map v1](/earth-engine/datasets/catalog/Tsinghua_DESS_ChinaTerraceMap_v1) \nThis dataset is a China terrace map at 30 m resolution in 2018. It was developed through supervised pixel-based classification using multisource and multi-temporal data based on the Google Earth Engine platform. The overall accuracy and kappa coefficient achieved 94% and 0.72, respectively. This first 30 m China terrace map ... \nTsinghua/DESS/ChinaTerraceMap/v1, agriculture,landcover,landuse,landuse-landcover,tsinghua \n2018-01-01T00:00:00Z/2019-01-01T00:00:00Z \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5194/essd-13-2437-2021](https://doi.org/https://essd.copernicus.org/articles/13/2437/2021/)\n- [https://doi.org/10.5194/essd-13-2437-2021](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/Tsinghua_DESS_ChinaTerraceMap_v1)"]]
