The European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists
of global-scale annual and seasonal crop maps and their related confidence.
They were generated as part of theESA-WorldCereal project. More information on
the content of these products and the methodology used to generate them is
described in [1].
This collection contains up to 106 agro-ecological zone (AEZ) images for
each product which were all processed with respect to their own regional
seasonality and should be considered as independent products. These seasons
are described in the list below and were developed in [2] as part of the
project. Note that cereals as described by WorldCereal include wheat,
barley, and rye, which belong to theTriticeaetribe.
WorldCereal seasons description:
tc-annual: a one-year cycle being defined in an AEZ by the end of the last
considered growing season
tc-wintercereals: the main cereals season defined in an AEZ
tc-springcereals: optional springcereals season, only defined in certain
AEZ
tc-maize-main: the main maize season defined in an AEZ
tc-maize-second: optional second maize season, only defined in certain AEZ
The available products in this collection are:
temporarycrops
maize
wintercereals
springcereals
irrigation
Each product (image) has a binary classification (0 or 100) and a confidence
(0-100) band. Note that AEZs for which no irrigation product is available
were not processed because of the unavailability of thermal Landsat data.
The collection should be filtered using one or more of the following image
properties:
aez_id, holding the ID of the AEZ to which the image belongs
product, describing the WorldCereal product name of the image
season, describing the season for which the image is valid.
Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Battude, M., Grosu,
A., Brombacher, J., Lesiv, M., Bayas, J. C. L., Karanam, S., Fritz, S.,
Becker-Reshef, I., Franch, B., Mollà-Bononad, B., Boogaard, H., Pratihast,
A. K., and Szantoi, Z.: WorldCereal: a dynamic open-source system for
global-scale, seasonal, and reproducible crop and irrigation mapping, Earth
Syst. Sci. Data Discuss. [preprint],doi:10.5194/essd-2023-184, in
review, 2023.,
The European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists of global-scale annual and seasonal crop maps and their related confidence. They were generated as part of the ESA-WorldCereal project. More information on the content of these products and the methodology used to generate them is described in …
[[["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\u003eThe ESA WorldCereal dataset provides global-scale annual and seasonal crop maps (including wheat, barley, and rye) and irrigation, along with their confidence levels, at a 10-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset covers the period from 2020-01-01 to 2021-12-31 and is divided into agro-ecological zones (AEZs) with specific crop seasons.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access products such as temporary crops, maize, winter cereals, spring cereals, and irrigation, each with classification and confidence bands.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available through Google Earth Engine and is licensed under CC-BY-4.0.\u003c/p\u003e\n"],["\u003cp\u003eThe WorldCereal project aims to provide dynamic, open-source, and reproducible crop and irrigation mapping on a global scale.\u003c/p\u003e\n"]]],["The ESA WorldCereal project provides global annual and seasonal crop maps for 2021, including confidence levels. Data, available from 2020 to 2021, includes classifications for temporary crops, maize, winter cereals, spring cereals, and irrigation. Each product offers binary classification (0 or 100) and confidence (0-100) bands, with filtering possible by agro-ecological zone (AEZ), product name, and season. The dataset, with a 10-meter pixel size, is accessible through Google Earth Engine.\n"],null,["# ESA WorldCereal 10 m v100\n\nDataset Availability\n: 2020-01-01T00:00:00Z--2021-12-31T23:59:59Z\n\nDataset Provider\n:\n\n\n [ESA WorldCereal Consortium](https://esa-worldcereal.org/en)\n\nTags\n:\n[agriculture](/earth-engine/datasets/tags/agriculture) [copernicus](/earth-engine/datasets/tags/copernicus) [crop](/earth-engine/datasets/tags/crop) [esa](/earth-engine/datasets/tags/esa) [global](/earth-engine/datasets/tags/global) [landcover](/earth-engine/datasets/tags/landcover) [landsat](/earth-engine/datasets/tags/landsat) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) \n\n#### Description\n\nThe European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists\nof global-scale annual and seasonal crop maps and their related confidence.\nThey were generated as part of the\n[ESA-WorldCereal project](https://esa-worldcereal.org/). More information on\nthe content of these products and the methodology used to generate them is\ndescribed in \\[1\\].\n\nThis collection contains up to 106 agro-ecological zone (AEZ) images for\neach product which were all processed with respect to their own regional\nseasonality and should be considered as independent products. These seasons\nare described in the list below and were developed in \\[2\\] as part of the\nproject. Note that cereals as described by WorldCereal include wheat,\nbarley, and rye, which belong to the *Triticeae* tribe.\n\nWorldCereal seasons description:\n\n- tc-annual: a one-year cycle being defined in an AEZ by the end of the last considered growing season\n- tc-wintercereals: the main cereals season defined in an AEZ\n- tc-springcereals: optional springcereals season, only defined in certain AEZ\n- tc-maize-main: the main maize season defined in an AEZ\n- tc-maize-second: optional second maize season, only defined in certain AEZ\n\nThe available products in this collection are:\n\n- temporarycrops\n- maize\n- wintercereals\n- springcereals\n- irrigation\n\nEach product (image) has a binary classification (0 or 100) and a confidence\n(0-100) band. Note that AEZs for which no irrigation product is available\nwere not processed because of the unavailability of thermal Landsat data.\n\nThe collection should be filtered using one or more of the following image\nproperties:\n\n- aez_id, holding the ID of the AEZ to which the image belongs\n- product, describing the WorldCereal product name of the image\n- season, describing the season for which the image is valid.\n\nReferences:\n\n- \\[1\\] [WorldCereal methodology and products paper](https://doi.org/10.5194/essd-2023-184)\n- \\[2\\] [WorldCereal global seasonality paper](https://doi.org/10.1080/15481603.2022.2079273)\n\nWorldCereal datasets:\n\n- Version 100 for year 2021\n - [ESA/WorldCereal/AEZ/v100](/earth-engine/datasets/catalog/ESA_WorldCereal_AEZ_v100)\n - [ESA/WorldCereal/2021/MODELS/v100](/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MODELS_v100)\n - [ESA/WorldCereal/2021/MARKERS/v100](/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MARKERS_v100)\n\n### Bands\n\n\n**Pixel Size**\n\n10 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|------------------|-----|-----|------------|--------------------------|\n| `classification` | 0 | 100 | meters | Classification: 0 or 100 |\n| `confidence` | 0 | 100 | meters | Confidence, 0 to 100 |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|---------|--------|--------------------------------------------------------------------|\n| aez_id | INT | ID of the agro-ecological zone (AEZ) to which the product belongs. |\n| product | STRING | WorldCereal product name. |\n| season | STRING | Season for which the product is valid. |\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- Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Battude, M., Grosu,\n A., Brombacher, J., Lesiv, M., Bayas, J. C. L., Karanam, S., Fritz, S.,\n Becker-Reshef, I., Franch, B., Mollà-Bononad, B., Boogaard, H., Pratihast,\n A. K., and Szantoi, Z.: WorldCereal: a dynamic open-source system for\n global-scale, seasonal, and reproducible crop and irrigation mapping, Earth\n Syst. Sci. Data Discuss. \\[preprint\\],\n [doi:10.5194/essd-2023-184](https://doi.org/10.5194/essd-2023-184), in\n review, 2023.,\n\n### DOIs\n\n- \u003chttps://doi.org/10.5194/essd-2023-184\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('ESA/WorldCereal/2021/MODELS/v100')\n\n// Set satellite background\nMap.setOptions('SATELLITE');\n\n// Typically we'd want to mask the \"other\" class (value 0)\n// in the images\nfunction mask_other(img) {\n return img.updateMask(img.neq(0))\n}\n\n// Apply the mask_other function to the collection\ndataset = dataset.map(mask_other);\n\n/*--------------------------------------------------\nBasic example for a global mosaic of temporary crops\n--------------------------------------------------*/\n\n// Get a global mosaic for all agro-ecological zone (AEZ) of temporary crops\nvar temporarycrops = dataset.filter('product == \"temporarycrops\"').mosaic();\n\n// Visualization specifics\nvar visualization_class = {\n bands: [\"classification\"],\n max: 100,\n palette: [\"ff0000\"]\n};\n\nvar visualization_conf = {\n bands: ['confidence'],\n min: [0],\n max: [100],\n palette: ['be0000','fff816','069711'],\n};\n\n// Show global classification mosaic\nMap.centerObject(temporarycrops);\nMap.addLayer(temporarycrops, visualization_class, 'Temporary crops');\n\n// By default don't show confidence layer\nMap.addLayer(\n temporarycrops, visualization_conf, 'Temporary crops confidence', false);\n\n/*--------------------------------------------------\nAdvanced example for tc-maize-main season products\nin a specific AEZ\n--------------------------------------------------*/\n\n// Filter on AEZ and season\nvar tc_maize_main_46172 = dataset.filter(\n ee.Filter.eq('season', 'tc-maize-main')\n ).filter(ee.Filter.eq('aez_id', 46172));\n\n// Get the different products\nvar maize = tc_maize_main_46172.filter('product == \"maize\"');\nvar irrigation = tc_maize_main_46172.filter('product == \"irrigation\"');\n\n// Visualization specifics\nvar visualization_maize = {\n bands: [\"classification\"],\n max: 100,\n palette: [\"#ebc334\"]\n};\n\nvar visualization_irrigation = {\n bands: [\"classification\"],\n max: 100,\n palette: [\"#2d79eb\"]\n};\n\n// Show maize and irrigation classification\nMap.addLayer(maize, visualization_maize, 'Maize');\nMap.addLayer(irrigation, visualization_irrigation, 'Active irrigation');\n\n// Uncomment the line below to zoom to a region\n// where maize, other crops and active irrigation are visible\n// Map.setCenter(-0.9911, 43.5017, 12)\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ESA/ESA_WorldCereal_2021_MODELS_v100) \n[ESA WorldCereal 10 m v100](/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MODELS_v100) \nThe European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists of global-scale annual and seasonal crop maps and their related confidence. They were generated as part of the ESA-WorldCereal project. More information on the content of these products and the methodology used to generate them is described in ... \nESA/WorldCereal/2021/MODELS/v100, agriculture,copernicus,crop,esa,global,landcover,landsat,sentinel1-derived,sentinel2-derived \n2020-01-01T00:00:00Z/2021-12-31T23:59:59Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5194/essd-2023-184](https://doi.org/https://esa-worldcereal.org/en)\n- [https://doi.org/10.5194/essd-2023-184](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MODELS_v100)"]]
