Los datos del producto MOD13A3 V6.1 se proporcionan mensualmente con una resolución espacial de 1 kilómetro (km). Para generar este producto mensual, el algoritmo incorpora todos los productos MOD13A2 que se superponen con el mes y emplea un promedio temporal ponderado.
Los índices de vegetación se utilizan para la supervisión global de las condiciones de la vegetación y se usan en productos que muestran la cobertura del suelo y los cambios en la cobertura del suelo. Estos datos se pueden usar como entrada para modelar procesos biogeoquímicos e hidrológicos globales, así como el clima global y regional. Otras aplicaciones incluyen la caracterización de las propiedades y los procesos biofísicos de la superficie terrestre, como la producción primaria y la conversión de la cobertura terrestre.
Los datos del producto MOD13A3 V6.1 se proporcionan mensualmente con una resolución espacial de 1 kilómetro (km). Para generar este producto mensual, el algoritmo incorpora todos los productos MOD13A2 que se superponen con el mes y emplea un promedio temporal ponderado. Los índices de vegetación se utilizan para la supervisión global de las condiciones de la vegetación y se emplean en…
[null,null,[],[[["\u003cp\u003eMOD13A3 V6.1 provides monthly vegetation indices (NDVI, EVI) at 1km resolution, derived from MOD13A2 using a weighted temporal average.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is suitable for monitoring global vegetation conditions, land cover changes, and modeling biogeochemical processes.\u003c/p\u003e\n"],["\u003cp\u003eData is available from February 2000 to November 2024 and is provided by NASA LP DAAC at the USGS EROS Center.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes quality indicators, surface reflectance bands, and view/solar geometry information.\u003c/p\u003e\n"],["\u003cp\u003eMODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.\u003c/p\u003e\n"]]],["The MOD13A3 V6.1 dataset provides monthly vegetation index data from February 2000 to January 2025, at a 1km spatial resolution. Data, provided by NASA LP DAAC and accessible via Google Earth Engine, includes monthly averages of NDVI and EVI, derived from MOD13A2 products using a weighted temporal average. This information monitors vegetation conditions, land cover changes, and can be used in climate modeling. The data has multiple bands, including reflectance and quality assessment information.\n"],null,["# MOD13A3.061 Vegetation Indices Monthly L3 Global 1 km SIN Grid\n\nDataset Availability\n: 2000-02-01T00:00:00Z--2025-07-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA LP DAAC at the USGS EROS Center](https://doi.org/10.5067/MODIS/MOD13A3.061)\n\nCadence\n: 1 Month\n\nTags\n:\n[evi](/earth-engine/datasets/tags/evi) [global](/earth-engine/datasets/tags/global) [modis](/earth-engine/datasets/tags/modis) [monthly](/earth-engine/datasets/tags/monthly) [nasa](/earth-engine/datasets/tags/nasa) [ndvi](/earth-engine/datasets/tags/ndvi) [terra](/earth-engine/datasets/tags/terra) [usgs](/earth-engine/datasets/tags/usgs) [vegetation](/earth-engine/datasets/tags/vegetation) [vegetation-indices](/earth-engine/datasets/tags/vegetation-indices) \n\n#### Description\n\nThe MOD13A3 V6.1 product data is provided monthly at 1 kilometer (km)\nspatial resolution. In generating this monthly product, the algorithm\ningests all the MOD13A2 products that overlap the month and employs a\nweighted temporal average.\n\nVegetation indices are used for global monitoring of vegetation conditions\nand are used in products displaying land cover and land cover changes. These\ndata may be used as input for modeling global biogeochemical and hydrologic\nprocesses as well as global and regional climate. Additional applications\ninclude characterizing land surface biophysical properties and processes,\nsuch as primary production and land cover conversion.\n\nDocumentation:\n\n- [User's Guide](https://lpdaac.usgs.gov/documents/621/MOD13_User_Guide_V61.pdf)\n\n- [Algorithm Theoretical Basis Document (ATBD)](https://lpdaac.usgs.gov/documents/104/MOD13_ATBD.pdf)\n\n- [General Documentation](https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/61/MOD13A3)\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Scale | Pixel Size | Wavelength | Description |\n|-------------------|-------|--------|-------|--------|------------|-------------|--------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `NDVI` | | -2000 | 10000 | 0.0001 | meters | None | Monthly NDVI average |\n| `EVI` | | -2000 | 10000 | 0.0001 | meters | None | Monthly EVI average |\n| `DetailedQA` | | | | | meters | None | VI Quality indicators |\n| Bitmask for DetailedQA - Bits 0-1: VI quality (MODLAND QA Bits) - 0: VI produced with good quality - 1: VI produced, but check other QA - 2: Pixel produced, but most probably cloudy - 3: Pixel not produced due to other reasons than clouds - Bits 2-5: VI usefulness - 0: Highest quality - 1: Lower quality - 2: Decreasing quality - 4: Decreasing quality - 8: Decreasing quality - 9: Decreasing quality - 10: Decreasing quality - 12: Lowest quality - 13: Quality so low that it is not useful - 14: L1B data faulty - 15: Not useful for any other reason/not processed - Bits 6-7: Aerosol Quantity - 0: Climatology - 1: Low - 2: Intermediate - 3: High - Bit 8: Adjacent cloud detected - 0: No - 1: Yes - Bit 9: Atmosphere BRDF correction - 0: No - 1: Yes - Bit 10: Mixed Clouds - 0: No - 1: Yes - Bits 11-13: Land/water mask - 0: Shallow ocean - 1: Land (nothing else but land) - 2: Ocean coastlines and lake shorelines - 3: Shallow inland water - 4: Ephemeral water - 5: Deep inland water - 6: Moderate or continental ocean - 7: Deep ocean - Bit 14: Possible snow/ice - 0: No - 1: Yes - Bit 15: Possible shadow - 0: No - 1: Yes ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `sur_refl_b01` | | 0 | 10000 | 0.0001 | meters | 620-670nm | Surface reflectance band 1 (red) |\n| `sur_refl_b02` | | 0 | 10000 | 0.0001 | meters | 841-876nm | Surface reflectance band 2 (near-infrared) |\n| `sur_refl_b03` | | 0 | 10000 | 0.0001 | meters | 459-479nm | Surface reflectance band 3 (blue) |\n| `sur_refl_b07` | | 0 | 10000 | 0.0001 | meters | 2105-2155nm | Surface reflectance band 7 (mid-infrared) |\n| `ViewZenith` | deg | 0 | 18000 | 0.01 | meters | None | View zenith angle of VI Pixel |\n| `SolarZenith` | deg | 0 | 18000 | 0.01 | meters | None | Sun zenith angle of VI pixel |\n| `RelativeAzimuth` | deg | -18000 | 18000 | 0.01 | meters | None | Relative azimuth angle of VI pixel |\n| `SummaryQA` | | | | | meters | None | Quality reliability of VI pixel |\n\n**SummaryQA Class Table**\n\n| Value | Color | Description |\n|-------|-------|---------------------------------------------------------|\n| 0 | None | Good Data: use with confidence |\n| 1 | None | Marginal Data: useful, but look at other QA information |\n| 2 | None | Snow/Ice: target covered with snow/ice |\n| 3 | None | Cloudy: target not visible, covered with cloud |\n\n### Terms of Use\n\n**Terms of Use**\n\nMODIS data and products acquired through the LP DAAC\nhave no restrictions on subsequent use, sale, or redistribution.\n\n### Citations\n\nCitations:\n\n- Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data)\n for information on citing LP DAAC datasets.\n\n### DOIs\n\n- \u003chttps://doi.org/10.5067/MODIS/MOD13A3.061\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('MODIS/061/MOD13A3')\n .filter(ee.Filter.date('2020-01-01', '2023-05-01'));\nvar ndvi = dataset.select('NDVI');\nvar ndviVis = {\n min: 0,\n max: 9000,\n palette: [\n 'ffffff', 'ce7e45', 'df923d', 'f1b555', 'fcd163', '99b718', '74a901',\n '66a000', '529400', '3e8601', '207401', '056201', '004c00', '023b01',\n '012e01', '011d01', '011301'\n ],\n};\nMap.setCenter(6.746, 46.529, 2);\nMap.addLayer(ndvi, ndviVis, 'NDVI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/MODIS/MODIS_061_MOD13A3) \n[MOD13A3.061 Vegetation Indices Monthly L3 Global 1 km SIN Grid](/earth-engine/datasets/catalog/MODIS_061_MOD13A3) \nThe MOD13A3 V6.1 product data is provided monthly at 1 kilometer (km) spatial resolution. In generating this monthly product, the algorithm ingests all the MOD13A2 products that overlap the month and employs a weighted temporal average. Vegetation indices are used for global monitoring of vegetation conditions and are used in ... \nMODIS/061/MOD13A3, evi,global,modis,monthly,nasa,ndvi,terra,usgs,vegetation,vegetation-indices \n2000-02-01T00:00:00Z/2025-07-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5067/MODIS/MOD13A3.061](https://doi.org/https://doi.org/10.5067/MODIS/MOD13A3.061)\n- [https://doi.org/10.5067/MODIS/MOD13A3.061](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A3)"]]
