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.
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.
Bands
Pixel Size 100 meters
Bands
Name
Units
Pixel Size
Wavelength
Description
RED
meters
658nm, FWHM: 82nm
Top of canopy reflectance RED channel
NIR
meters
834nm, FWHM: 121nm
Top of canopy reflectance NIR channel
BLUE
meters
460nm, FWHM: 42nm
Top of canopy reflectance BLUE channel
SWIR
meters
1610nm, FWHM: 89nm
Top of canopy reflectance SWIR channel
NDVI
meters
None
Normalized Difference Vegetation Index
SZA
deg
meters
None
Solar zenith angle
SAA
deg
meters
None
Solar azimuth angle
SWIRVAA
deg
meters
None
Viewing azimuth angles SWIR detector
SWIRVZA
deg
meters
None
Viewing zenith angle SWIR detector
VNIRVAA
deg
meters
None
Viewing azimuth angle VNIR detector
VNIRVZA
deg
meters
None
Viewing zenith angle VNIR detector
SM
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
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.
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 …
[null,null,[],[[["\u003cp\u003eProba-V mission maps land cover and vegetation growth, providing continuity for the VGT instrument from SPOT missions.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset offers daily top-of-canopy reflectance composites at 100m resolution, derived from nadir observations every 5 days.\u003c/p\u003e\n"],["\u003cp\u003eReflectances are presented as Digital Count Numbers (DN) and need conversion according to the user manual.\u003c/p\u003e\n"],["\u003cp\u003eBands include Red, NIR, Blue, SWIR, along with derived indices (NDVI), solar/viewing angles, and a quality/information band.\u003c/p\u003e\n"],["\u003cp\u003eData older than one month is freely and openly available.\u003c/p\u003e\n"]]],["The dataset from the Proba-V satellite mission, available from 2013-10-17 to 2021-10-31, provides daily, 100-meter resolution land cover and vegetation data. The sensor captures three VNIR bands and one SWIR band, which are synthesized daily from images taken globally every two days. Users must convert provided reflectance Digital Count Numbers (DN) using the linked user manual. The dataset is accessible via Earth Engine with a specific snippet provided. The data is freely available for use in non profit, education, and research.\n"],null,["# PROBA-V C1 Top Of Canopy Daily Synthesis 100m\n\nDataset Availability\n: 2013-10-17T00:00:00Z--2021-10-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [Vito / ESA](https://proba-v.vgt.vito.be/)\n\nCadence\n: 1 Day\n\nTags\n:\n[esa](/earth-engine/datasets/tags/esa) [multispectral](/earth-engine/datasets/tags/multispectral) [nir](/earth-engine/datasets/tags/nir) [proba](/earth-engine/datasets/tags/proba) [probav](/earth-engine/datasets/tags/probav) [satellite-imagery](/earth-engine/datasets/tags/satellite-imagery) [swir](/earth-engine/datasets/tags/swir) [vito](/earth-engine/datasets/tags/vito) \n\n#### Description\n\nProba-V is a satellite mission tasked to map land cover and vegetation\ngrowth. It was designed to provide continuity for the VGT optical instrument\nfrom the SPOT-4 and SPOT-5 missions.\n\nThe sensor collects data in three VNIR (visible and near-infrared) bands\nand one SWIR (short-wave infrared) spectral band with a 2250km field of\nview. Global images are produced every 2 days at 300m resolution, and a 100m\nimage from nadir observations every 5 days. These images are later\ncomposited to produce this daily synthesis dataset. The description of\nthe compositing and atmospheric correction procedures can be found in\nthe [user manual](https://publications.vito.be/2017-1333-probav-products-user-manual.pdf).\n\nThe reflectances provided in this dataset are presented as Digital Count\nNumbers (DN) and must be converted according to the guidelines in\nSection 4.6.1 of the [user manual](https://publications.vito.be/2017-1333-probav-products-user-manual.pdf).\n\n### Bands\n\n\n**Pixel Size**\n\n100 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Wavelength | Description |\n|-----------|-------|------------|--------------------|-----------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `RED` | | meters | 658nm, FWHM: 82nm | Top of canopy reflectance RED channel |\n| `NIR` | | meters | 834nm, FWHM: 121nm | Top of canopy reflectance NIR channel |\n| `BLUE` | | meters | 460nm, FWHM: 42nm | Top of canopy reflectance BLUE channel |\n| `SWIR` | | meters | 1610nm, FWHM: 89nm | Top of canopy reflectance SWIR channel |\n| `NDVI` | | meters | None | Normalized Difference Vegetation Index |\n| `SZA` | deg | meters | None | Solar zenith angle |\n| `SAA` | deg | meters | None | Solar azimuth angle |\n| `SWIRVAA` | deg | meters | None | Viewing azimuth angles SWIR detector |\n| `SWIRVZA` | deg | meters | None | Viewing zenith angle SWIR detector |\n| `VNIRVAA` | deg | meters | None | Viewing azimuth angle VNIR detector |\n| `VNIRVZA` | deg | meters | None | Viewing zenith angle VNIR detector |\n| `SM` | | meters | None | Quality / Information band. |\n| 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 ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `TIME` | min | meters | None | Time elapsed since the start of image collection of this mosaic |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|--------------------------------------|--------|---------------------------------------------------------------|\n| ARCHIVING_DATE | STRING | Archiving date |\n| CLOUD_COVER_PERCENTAGE | DOUBLE | Cloud cover percentage |\n| LAND_PERCENTAGE | DOUBLE | Land percentage |\n| MISSING_DATA_PERCENTAGE | DOUBLE | Missing data percentage |\n| PROBAV_ATMCORR_SMAC_VERSION | STRING | Initial version of the atmospheric correction algorithm |\n| PROBAV_CLOUDICESNOWDETECTION_VERSION | STRING | Initial version of the cloud and snow/ice detection algorithm |\n| PROBAV_COMPOSITING_MVC_VERSION | STRING | Initial version of the MVC compositing algorithm |\n| PROBAV_GEOMODELLING_VERSION | STRING | Initial version of the geometric modelling algorithm |\n| PROBAV_MAPPING_VERSION | STRING | Initial version of the projection algorithm |\n| PROBAV_MOSAIC_VERSION | STRING | Initial version of the mosaicking algorithm |\n| PROBAV_RADIOMODELLING_VERSION | STRING | Initial version of the radiometric modelling algorithm |\n| PROBAV_SHADOWDETECTION_VERSION | STRING | Initial version of the shadow detection algorithm |\n| PRODUCT_VERSION | STRING | Product version |\n| SNOW_COVER_PERCENTAGE | DOUBLE | Snow cover percentage |\n\n### Terms of Use\n\n**Terms of Use**\n\nPROBA-V 300m and 100m data are freely available for data older than 1 month.\n\n### Citations\n\nCitations:\n\n- Copyright ESA-BELSPO, produced by Vito\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('VITO/PROBAV/C1/S1_TOC_100M')\n .filter(ee.Filter.date('2018-03-01', '2018-04-01'));\nvar falseColor = dataset.select(['RED', 'NIR', 'BLUE']);\nvar falseColorVis = {\n min: 20.0,\n max: 2000.0,\n};\nMap.setCenter(17.93, 7.71, 2);\nMap.addLayer(falseColor, falseColorVis, 'False Color');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/VITO/VITO_PROBAV_C1_S1_TOC_100M) \n[PROBA-V C1 Top Of Canopy Daily Synthesis 100m](/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_100M) \nProba-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 ... \nVITO/PROBAV/C1/S1_TOC_100M, esa,multispectral,nir,proba,probav,satellite-imagery,swir,vito \n2013-10-17T00:00:00Z/2021-10-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://proba-v.vgt.vito.be/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_100M)"]]
