مانیتور خشکسالی ایالات متحده نقشه ای است که هر پنجشنبه منتشر می شود و بخش هایی از ایالات متحده را نشان می دهد که در خشکسالی هستند. این نقشه از پنج طبقه بندی استفاده می کند: خشکی غیرعادی (D0)، مناطقی را نشان می دهد که ممکن است وارد خشکسالی شوند یا در حال خروج از آن باشند، و چهار سطح خشکسالی: متوسط (D1)، شدید (D2)، شدید (D3) و استثنایی (D4). مانیتور خشکسالی از زمان آغاز به کار خود در سال 1999 یک تلاش گروهی بوده است که به طور مشترک توسط مرکز ملی کاهش خشکسالی (NDMC) در دانشگاه نبراسکا-لینکلن، اداره ملی اقیانوسی و جوی (NOAA) و وزارت کشاورزی ایالات متحده (USDA) تولید شده است. NDMC میزبان وب سایت پایش خشکسالی و داده های مرتبط است و نقشه و داده ها را در اختیار NOAA، USDA و سایر آژانس ها قرار می دهد. به صورت رایگان در droughtmonitor.unl.edu در دسترس است.
باندها
اندازه پیکسل 250 متر
باندها
نام
حداقل
حداکثر
اندازه پیکسل
توضیحات
DM
0
4
متر
کلاس های خشکسالی
شرایط استفاده
شرایط استفاده
این اثر تحت مجوز داده باز برای استفاده مجوز دارد. نظارت بر خشکسالی ایالات متحده به طور مشترک توسط مرکز ملی کاهش خشکسالی در دانشگاه نبراسکا-لینکلن، وزارت کشاورزی ایالات متحده و اداره ملی اقیانوسی و جوی تولید می شود. نقشه توسط NDMC.
نقل قول ها
نقل قول ها:
مرکز ملی کاهش خشکسالی؛ وزارت کشاورزی ایالات متحده؛ اداره ملی اقیانوسی و جوی (2023). نظارت بر خشکسالی ایالات متحده دانشگاه نبراسکا-لینکلن https://doughtmonitor.unl.edu/. بازدید در 2023-09-17
مانیتور خشکسالی ایالات متحده نقشه ای است که هر پنجشنبه منتشر می شود و بخش هایی از ایالات متحده را نشان می دهد که در خشکسالی هستند. این نقشه از پنج طبقه بندی استفاده می کند: خشکی غیرعادی (D0)، نشان دادن مناطقی که ممکن است وارد خشکسالی شوند یا در حال خروج از آن باشند، و چهار سطح خشکسالی: متوسط (D1)، شدید (D2)، شدید ...
[null,null,[],[[["\u003cp\u003eThe U.S. Drought Monitor dataset provides weekly maps of drought conditions across the United States, categorized into five levels: abnormally dry (D0) and moderate (D1) to exceptional (D4) drought.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is freely available and jointly produced by the National Drought Mitigation Center, NOAA, and USDA, covering the period from 2000 to 2024.\u003c/p\u003e\n"],["\u003cp\u003eDrought classifications are provided at a 250-meter resolution and can be easily accessed and analyzed within Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is licensed under an Open data license for use and is part of the Awesome GEE Community Catalog.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and visualize the data using the provided Earth Engine snippet and code editor example for a detailed analysis of drought patterns.\u003c/p\u003e\n"]]],["The U.S. Drought Monitor, jointly produced by the NDMC, NOAA, and USDA, releases a weekly map indicating drought conditions across the U.S. It uses five classifications: abnormally dry (D0), moderate (D1), severe (D2), extreme (D3), and exceptional (D4). Data, available from 2000 to 2025, is provided by the National Drought Mitigation Center and accessible through the Google Earth Engine platform, using the code `ee.ImageCollection(\"projects/sat-io/open-datasets/us-drought-monitor\")`. Each category is represented by a color.\n"],null,["info\n\n\nThis dataset is part of a Community Catalog, and not managed by Google Earth Engine.\n\nContact gee-community-catalog@googlegroups.com\n\nfor bugs or [view more datasets](https://developers.google.com/earth-engine/datasets/community/sat-io)\nfrom the Awesome GEE Community Catalog Catalog. [Learn more about Community datasets](/earth-engine/datasets/community). \n[](https://gee-community-catalog.org/) \n\nCatalog Owner\n: Awesome GEE Community Catalog\n\nDataset Availability\n: 2000-01-04T00:00:00Z--2025-08-19T00:00:00Z\n\nDataset Provider\n:\n\n\n [National Drought Mitigation Center](https://drought.unl.edu/)\n\nTags\n:\n [community-dataset](/earth-engine/datasets/tags/community-dataset) [drought](/earth-engine/datasets/tags/drought) [noaa](/earth-engine/datasets/tags/noaa) [precipitation](/earth-engine/datasets/tags/precipitation) [sat-io](/earth-engine/datasets/tags/sat-io) [usda](/earth-engine/datasets/tags/usda) \nndmc \n\nDescription \nThe U.S. Drought Monitor is a map released every Thursday, showing parts of the U.S. that are in drought. The map uses five classifications: abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: moderate (D1), severe (D2), extreme (D3) and exceptional (D4). The Drought Monitor has been a team effort since its inception in 1999, produced jointly by the National Drought Mitigation Center (NDMC) at the University of Nebraska-Lincoln, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Department of Agriculture (USDA). The NDMC hosts the web site of the drought monitor and the associated data, and provides the map and data to NOAA, USDA and other agencies. It is freely available at droughtmonitor.unl.edu.\n\nBands\n\n\n**Pixel Size**\n\n250 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|------|-----|-----|------------|-----------------|\n| `DM` | 0 | 4 | meters | Drought classes |\n\nTerms of Use\n\n**Terms of Use**\n\nThe work is licensed under an Open data license for use. The U.S. Drought Monitor is jointly produced by the National Drought Mitigation Center\nat the University of Nebraska-Lincoln, the United States Department of Agriculture and the National Oceanic and Atmospheric Administration. Map courtesy of NDMC.\n\nCitations \nCitations:\n\n- National Drought Mitigation Center; U.S. Department of Agriculture; National Oceanic and Atmospheric Administration (2023). United States Drought Monitor. University of Nebraska-Lincoln. https://droughtmonitor.unl.edu/. Accessed 2023-09-17\n\nExplore with Earth Engine **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\nCode Editor (JavaScript) \n\n```javascript\nvar usdm = ee.ImageCollection(\n \"projects/sat-io/open-datasets/us-drought-monitor\"\n);\n/*\nCategory\tDescription\nDO\tAbnormally Dry\nD1\tModerate Drought\nD2\tSevere Drought\nD3\tExtreme Drought\nD4\tExceptional Drought\n*/\n\nvar usdm = ee.Image(usdm.toList(usdm.size()).get(-1));\n\n// Define a dictionary which will be used to make legend and visualize image on map\nvar dict = {\n names: [\n \"DO\tAbnormally Dry\", //1\n \"D1 Moderate Drought\", //2\n \"D2 Severe Drought\", //3\n \"D3 Extreme Drought\", //4\n \"D4 Exceptional Drought\", //5\n ],\n colors: [\"FFFF00\", \"FCD37F\", \"FFAA00\", \"E60000\", \"730000\"],\n};\n\n// Create a panel to hold the legend widget\nvar legend = ui.Panel({\n style: {\n position: \"bottom-left\",\n padding: \"8px 15px\",\n },\n});\n\n// Function to generate the legend\nfunction addCategoricalLegend(panel, dict, title) {\n // Create and add the legend title.\n var legendTitle = ui.Label({\n value: title,\n style: {\n fontWeight: \"bold\",\n fontSize: \"18px\",\n margin: \"0 0 4px 0\",\n padding: \"0\",\n },\n });\n panel.add(legendTitle);\n\n var loading = ui.Label(\"Loading legend...\", { margin: \"2px 0 4px 0\" });\n panel.add(loading);\n\n // Creates and styles 1 row of the legend.\n var makeRow = function (color, name) {\n // Create the label that is actually the colored box.\n var colorBox = ui.Label({\n style: {\n backgroundColor: color,\n // Use padding to give the box height and width.\n padding: \"8px\",\n margin: \"0 0 4px 0\",\n },\n });\n\n // Create the label filled with the description text.\n var description = ui.Label({\n value: name,\n style: { margin: \"0 0 4px 6px\" },\n });\n\n return ui.Panel({\n widgets: [colorBox, description],\n layout: ui.Panel.Layout.Flow(\"horizontal\"),\n });\n };\n\n // Get the list of palette colors and class names from the image.\n var palette = dict[\"colors\"];\n var names = dict[\"names\"];\n loading.style().set(\"shown\", false);\n\n for (var i = 0; i \u003c names.length; i++) {\n panel.add(makeRow(palette[i], names[i]));\n }\n\n Map.add(panel);\n}\n\n/*\n // Display map and legend ///////////////////////////////////////////////////////////////////////////////\n*/\n\n// Add the legend to the map\naddCategoricalLegend(legend, dict, \"US Drought Monitor\");\n\n// Add USDM Image image to the map\nMap.addLayer(\n usdm,\n { min: 0, max: 4, palette: dict[\"colors\"] },\n usdm.get(\"system:index\").getInfo()\n);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/sat-io/projects_sat-io_open-datasets_us-drought-monitor) \n[United States Drought Monitor](/earth-engine/datasets/catalog/projects_sat-io_open-datasets_us-drought-monitor) \nThe U.S. Drought Monitor is a map released every Thursday, showing parts of the U.S. that are in drought. The map uses five classifications: abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: moderate (D1), severe (D2), extreme ... \nprojects/sat-io/open-datasets/us-drought-monitor, community-dataset,drought,noaa,precipitation,sat-io,usda \n2000-01-04T00:00:00Z/2025-08-19T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://drought.unl.edu/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_sat-io_open-datasets_us-drought-monitor)"]]