Pakiet produktów WorldCereal 10 m 2021 Europejskiej Agencji Kosmicznej (ESA) obejmuje mapy upraw w skali globalnej, które są aktualizowane co roku i sezonowo, oraz powiązane z nimi informacje o wiarygodności.
Zostały one wygenerowane w ramach projektu ESA-WorldCereal. Więcej informacji o zawartości tych produktów i metodologii użytej do ich wygenerowania znajdziesz w [1].
Ta kolekcja zawiera do 106 obrazów stref agroekologicznych (AEZ) dla każdego produktu. Wszystkie obrazy zostały przetworzone z uwzględnieniem sezonowości regionalnej i należy je traktować jako niezależne produkty. Te sezony
są opisane na liście poniżej i zostały opracowane w [2] w ramach
projektu. Pamiętaj, że zboża w rozumieniu WorldCereal obejmują pszenicę, jęczmień i żyto, które należą do plemienia Triticeae.
Opis sezonów WorldCereal:
tc-annual: cykl roczny zdefiniowany w strefie AEZ do końca ostatniego rozpatrywanego sezonu wegetacyjnego
tc-wintercereals: główny sezon uprawy zbóż zdefiniowany w strefie agroekologicznej;
tc-springcereals: opcjonalny sezon zbóż jarych, zdefiniowany tylko w niektórych strefach AEZ
tc-maize-main: główny sezon uprawy kukurydzy zdefiniowany w strefie klimatyczno-rolniczej;
tc-maize-second: opcjonalny drugi sezon uprawy kukurydzy, zdefiniowany tylko w niektórych strefach klimatyczno-ekologicznych;
Dostępne produkty w tej kolekcji to:
temporarycrops
Maize
wintercereals
springcereals
nawadnianie,
Każdy produkt (obraz) ma klasyfikację binarną (0 lub 100) i przedział ufności (0–100). Pamiętaj, że strefy AEZ, w których nie ma dostępnych produktów do nawadniania, nie zostały przetworzone z powodu braku danych termicznych z satelity Landsat.
Kolekcję należy filtrować przy użyciu co najmniej 1 z tych właściwości obrazu:
aez_id, który zawiera identyfikator AEZ, do którego należy obraz;
produkt, opisujący nazwę produktu WorldCereal na obrazie;
season, opisujący sezon, w którym obraz jest ważny.
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. i Szantoi, Z.: WorldCereal: dynamiczny system open source do tworzenia map upraw i nawadniania na skalę globalną, sezonową i powtarzalną, Earth Syst. Sci. Data Discuss. [preprint],
doi:10.5194/essd-2023-184, w trakcie
recenzji, 2023.
Pakiet produktów WorldCereal 10 m 2021 Europejskiej Agencji Kosmicznej (ESA) obejmuje mapy upraw w skali globalnej, roczne i sezonowe, oraz powiązane z nimi informacje o wiarygodności. Zostały one wygenerowane w ramach projektu ESA-WorldCereal. Więcej informacji o zawartości tych produktów i metodologii użytej do ich wygenerowania znajdziesz w …
[null,null,[],[[["\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)"]]
