![VITO/PROBAV/C1/S1_TOC_333M](https://developers.google.com/earth-engine/datasets/images/VITO/VITO_PROBAV_C1_S1_TOC_333M_sample.png) Dataset Availability : 2013-10-17T00:00:00Z--2021-10-31T00:00:00Z Dataset Producer : [Vito / ESA](https://proba-v.vgt.vito.be/) Cadence : 1 Day Tags : [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [multispectral](https://developers.google.com/earth-engine/datasets/tags/multispectral) [nir](https://developers.google.com/earth-engine/datasets/tags/nir) [proba](https://developers.google.com/earth-engine/datasets/tags/proba) [probav](https://developers.google.com/earth-engine/datasets/tags/probav) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery) [swir](https://developers.google.com/earth-engine/datasets/tags/swir) [vito](https://developers.google.com/earth-engine/datasets/tags/vito) #### Description Proba-V is a satellite mission tasked to map land cover and vegetation growth. It was designed to provide continuity for the VGT optical instrument from the SPOT-4 and SPOT-5 missions. The sensor collects data in three VNIR (visible and near-infrared) bands and one SWIR (short-wave infrared) spectral band with a 2250km field of view. Global images are produced every 2 days at 300m resolution, and a 100m image from nadir observations every 5 days. These images are later composited to produce this daily synthesis dataset. The description of the compositing and atmospheric correction procedures can be found in the [user manual](https://publications.vito.be/2017-1333-probav-products-user-manual.pdf). The reflectances provided in this dataset are presented as Digital Count Numbers (DN) and must be converted according to the guidelines in Section 4.6.1 of the [user manual](https://publications.vito.be/2017-1333-probav-products-user-manual.pdf). ### Bands **Bands** Pixel size: 333 meters (all bands) | Name | Units | Pixel Size | Wavelength | Description | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | `RED` | | 333 meters | 658nm, FWHM: 82nm | Top of canopy reflectance RED channel | | `NIR` | | 333 meters | 834nm, FWHM: 121nm | Top of canopy reflectance NIR channel | | `BLUE` | | 333 meters | 460nm, FWHM: 42nm | Top of canopy reflectance BLUE channel | | `SWIR` | | 333 meters | 1610nm, FWHM: 89nm | Top of canopy reflectance SWIR channel | | `NDVI` | | 333 meters | None | Normalized Difference Vegetation Index | | `SZA` | deg | 333 meters | None | Solar zenith angle | | `SAA` | deg | 333 meters | None | Solar azimuth angle | | `SWIRVAA` | deg | 333 meters | None | Viewing azimuth angles SWIR detector | | `SWIRVZA` | deg | 333 meters | None | Viewing zenith angle SWIR detector | | `VNIRVAA` | deg | 333 meters | None | Viewing azimuth angle VNIR detector | | `VNIRVZA` | deg | 333 meters | None | Viewing zenith angle VNIR detector | | `SM` | | 333 meters | None | Quality / Information band. | | Bitmask for SM - Bits 0-2: Cloud/ice snow/shadow flag - 0: Clear - 1: Shadow - 2: Undefined - 3: Cloud - 4: Ice - Bit 3: Land/sea - 0: Sea - 1: Land (pixels with this value may include areas of sea) - Bit 4: Radiometric quality SWIR flag - 0: Bad - 1: Good - Bit 5: Radiometric quality NIR flag - 0: Bad - 1: Good - Bit 6: Radiometric quality RED flag - 0: Bad - 1: Good - Bit 7: Radiometric quality BLUE flag - 0: Bad - 1: Good |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| | `TIME` | min | 333 meters | None | Time elapsed since the start of image collection of this mosaic | ### Image Properties **Image Properties** | Name | Type | Description | |---|---|---| | ARCHIVING_DATE | STRING | Archiving date | | CLOUD_COVER_PERCENTAGE | DOUBLE | Cloud cover percentage | | LAND_PERCENTAGE | DOUBLE | Land percentage | | MISSING_DATA_PERCENTAGE | DOUBLE | Missing data percentage | | PROBAV_ATMCORR_SMAC_VERSION | STRING | Initial version of the atmospheric correction algorithm | | PROBAV_CLOUDICESNOWDETECTION_VERSION | STRING | Initial version of the cloud and snow/ice detection algorithm | | PROBAV_COMPOSITING_MVC_VERSION | STRING | Initial version of the MVC compositing algorithm | | PROBAV_GEOMODELLING_VERSION | STRING | Initial version of the geometric modelling algorithm | | PROBAV_MAPPING_VERSION | STRING | Initial version of the projection algorithm | | PROBAV_MOSAIC_VERSION | STRING | Initial version of the mosaicking algorithm | | PROBAV_RADIOMODELLING_VERSION | STRING | Initial version of the radiometric modelling algorithm | | PROBAV_SHADOWDETECTION_VERSION | STRING | Initial version of the shadow detection algorithm | | PRODUCT_VERSION | STRING | Product version | | SNOW_COVER_PERCENTAGE | DOUBLE | Snow cover percentage | ### Terms of Use **Terms of Use** PROBA-V 300m and 100m data are freely available for data older than 1 month. ### Citations Citations: - Copyright ESA-BELSPO, produced by Vito ### Explore with Earth Engine > [!NOTE] > **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) ### Code Editor (JavaScript) ```javascript var dataset = ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_333M') .filter(ee.Filter.date('2018-03-01', '2018-04-01')); var falseColor = dataset.select(['RED', 'NIR', 'BLUE']); var falseColorVis = { min: 20.0, max: 2000.0, }; Map.setCenter(17.93, 7.71, 2); Map.addLayer(falseColor, falseColorVis, 'False Color'); ``` [Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/VITO/VITO_PROBAV_C1_S1_TOC_333M) [PROBA-V C1 Top Of Canopy Daily Synthesis 333m](https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_333M) Proba-V is a satellite mission tasked to map land cover and vegetation growth. It was designed to provide continuity for the VGT optical instrument from the SPOT-4 and SPOT-5 missions. The sensor collects data in three VNIR (visible and near-infrared) bands and one SWIR (short-wave infrared) spectral band with a ... VITO/PROBAV/C1/S1_TOC_333M, esa,multispectral,nir,proba,probav,satellite-imagery,swir,vito 2013-10-17T00:00:00Z/2021-10-31T00:00:00Z -90 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets - [](https://doi.org/https://proba-v.vgt.vito.be/) - [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_333M)