A repository of custom scripts that can be used with Sentinel-Hub services.
This repository contains a collection of custom scripts for Sentinel Hub, which can be fed to the services via the URL.
Scripts are organised by sensors supported on Sentinel Hub:
You are invited to publish your own scripts - see howto.
The Sentinel-1 imagery is provided by two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather. Main applications are for monitoring sea ice, oil spills, marine winds, waves & currents, land-use change, land deformation among others, and to respond to emergencies such as floods and earthquakes. The identical satellites orbit Earth 180° apart and at an altitude of almost 700 km, offering a global revisit time of 6-12 days depending on the area (check observation scenario). Sentinel-1’s radar can operate in four modes. The spatial resolution depends on the mode: approx. 5 m x 20 m for IW mode and approx. 20 m x 40 m for EW mode. See Copernicus services for more details.
Dedicated to supplying data for Copernicus services, Sentinel-2 carries a multispectral imager with a swath of 290 km. The imager provides a versatile set of 13 spectral bands spanning from the visible and near infrared to the shortwave infrared, featuring four spectral bands at 10 m, six bands at 20 m and three bands at 60 m spatial resolution. As indices primarily deal with combining various band reflectances, the table of 13 bands is given here for reference (see here for details). The names of the Sentinel-2 bands at your disposal are B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B10, B11 and B12.
Sentinel-3 is a low Earth-orbit moderate size satellite compatible with small launchers including VEGA and ROCKOT. The main objective of the mission is to measure sea surface topography, sea and land surface temperature, and ocean and land surface color with high accuracy and reliability to support ocean forecasting systems, environmental monitoring and climate monitoring. Ocean and Land Colour Instrument (OLCI) provides a set of 21 bands ranging from the visible to the near infrared light (400 nm < λ< 1 020 nm). The Sentinel-3 provides imagery in 300 m spatial resolution. Sentinel-3 OLCI instrument ensures continuity of the ENVISAT MERIS.
Sentinel-5P provides atmospheric measurements, relating to air quality, climate forcing, ozone and UV radiation with high spatio-temporal resolution. Its data is used for monitoring of concentrations of carbon monoxide (CO), nitrogen dioxide (NO2) and ozone (O3) in air as well as for monitoring of UV aerosol index (AER_AI) and different geophysical parameters of clouds (CLOUD). EO Browser serves level 2 geophysical products. The TROPOspheric Monitoring Instrument (TROPOMI) on board of the satellite operates in the ultraviolet to shortwave infrared range with 7 different spectral bands: UV-1 (270-300nm), UV-2 (300-370nm), VIS (370-500nm), NIR-1 (685-710nm), NIR-2 (755-773nm), SWIR-1 (1590-1675nm) and SWIR-3 (2305-2385nm). Its spatial resolution is below 8km for wavelengths above 300nm and below 50km for wavelength below 300nm. It covers almost the whole globe (95 % coverage for latitudes in the interval [-7°, 7°]).
Harmonized Landsat Sentinel is a NASA initiative to produce a Virtual Constellation of surface reflectance (SR) data from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard the Landsat 8-9 and Sentinel-2 remote sensing satellites, respectively. The combined measurement enables global observations of the land every 2–3 days. Input products are Landsat 8-9 Collection 2 Level 1 top-of-atmosphere reflectance and Sentinel-2 L1C top-of-atmosphere reflectance, which NASA radiometrically harmonizes to the maximum extent, resamples to common 30-meter resolution, and grids using the Sentinel-2 Military Grid Reference System (MGRS) UTM grid. Because of this, the products are different from Landsat 8-9 Collection 2 Level 2 surface reflectance and Sentinel-2 L2A surface reflectance. For more information about the available bands and data, check the HLS documentation.
The Landsat program is the longest running enterprise for acquisition of satellite imagery of Earth, running from 1972. The most recent, Landsat 8, was launched on February 11, 2013. Landsat-8 data has 11 spectral bands with spatial resolutions ranging from 15 to 60 meters. The names of the Landsat-8 bands at your disposal are B01, B02, B03, B04, B05, B06, B07, B08, B09, B10 and B11.
Landsat 7 and the retired Landsat 5 orbit’s are sun-synchronous, with near-polar orbits, flying at an altitude of 705 km (438 mi). Landsat 5 long outlived its original three-year design life. Developed by NASA and launched in 1984, Landsat 5 has orbited the planet over 150,000 times while transmitting over 2.5 million images land surface images around the world. The Landsat 7 satellite still orbits the the Earth in a sun-synchronous, near-polar orbit, at an altitude of 705 km (438 mi). The satellites are multispectra, providing visible, near infrared, mid infrared and thermal bands.
For more on Landsat 5, including its available bands, read here and for Landsat 7, read here..
Landsat 1-5 MSS (Multispectral Scanner System) collection includes archived data from Landsat missions 1 through 5. It has 4 available bands - green, red and two NIR bands, all in 60 m resolution. Data is available globally since 1972. Learn more about the collection here.
Landsat Thematic Mapper (TM) sensor was carried onboard Landsats 4 and 5. The collection provides 6 spectral bands and 1 thermal infrared band in 120 m resolution, resampled to 30 meters. Data is archived, available globally from July 1987 - December 1993 for Landsat 4 and from March 1984 - May 2012 for Landsat 5. Top of the atmosphere level-1, and surface reflectance level-2 products are provided. The collection is useful for monitoring of vegetation, ice and water resources, change detection and the creation of land use - land cover maps. Learn more about the collection here.
Landsat Enhanced Thematic Mapper + (ETM+) is carried on top of Landsat 7 satellite. There are 8 optical and 1 thermal infrared bands available in 30 meter resolution (with panchromatic band in 15 meter resolution). Global data is available since April 1999, with a revisit time of 16 days. Top of the atmosphere level-1, and surface reflectance level-2 products are provided. The collection is useful for monitoring of vegetation, ice and water resources, change detection and the creation of land use - land cover maps. Note that there are data gaps for all images acquired since 2003-05-30 due to sensor failure. Learn more about the collection here.
The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 version 6 on Sentinel Hub is hosted at Amazon Web Services (AWS). Dataset is updated daily and provides the 500 meter Nadir Bidirectional reflectance distribution function Adjusted Reflectance (NBAR) data of MODIS “land” bands 1-7: B01, B02, B03, B04, B05, B06 and B07.
DEM (digital elevation model) is a 3D representation of the terrain’s surface created from terrain elevation data. It can be used for terrain analysis and orthorectification, which helps improve the accuracy of satellite imagery. With DEM, you are able to measure and analyze your area of interest or integrate data into a 3D application as a terrain data source. Sentinel Hub is using MapZen’s DEM, available through Amazon Web Services (AWS) in US. This dataset is based on SRTM30 (30 m resolution) but is in several places improved with local datasets. It is static and does not depend on the date (the values are updating as MapZen is improving the dataset). Read the blog post on how to explore the DEM dataset and see our API documentation for details.
PlanetScope satellite constellation consists of more than 130 small satellites called Doves. The satellites are launched in groups, which constantly improves mission’s characteristics such as revisit times, spatial and spectral resolutions. PlanetScope data complements Sentinel-2 with better spatial resolution (3m) and almost global daily coverage. It is an excellent source for vegetation monitoring. For more information on PlanetScope, visit our documentation page.
The spectral bands of PlanetScope data are the following:
B1 - Blue, resolution 3m
B2 - Green, resolution 3m
B3 - Red, resolution 3m
B4 - Near Infrared, resolution 3m
SkySat satellite constellation consists of 21 satellites, which were launched between 2013 and 2020. The satellites are based on a CubeSat concept but are a bit bigger comparing to the PlanetScope’s satellites. Because of its rapid revisit time, this data is suitable to monitor fast changes on earth’s surface. However, note that the data acquisition must be tasked, data is not acquired systematically. For more information on SkySat, visit our documentation page.
The spectral bands of SkySat data are the following:
Blue - 450-515 nm, resolution 0.5m
Green - 515-595 nm, resolution 0.5m
Red - 605-695 nm, resolution 0.5m
NIR - 740-900 nm Near Infrared, resolution 0.5m
Pan - 450-900nm Panchromatic, resolution 0.5
Pléiades constelation is composed of two twin satellites orbiting the Earth 180° apart. The satellites deliver the incredible global 0.5 m spectral resolution imagery. Pleiades’ satellites share the orbit with SPOT satellites, which makes it possible to combine the data form both sources. The Pléiades data with its high spatial resolution is suitable for a wide range of remote sensing applications such as vegetation monitoring, precise mapping, as well as risk and disaster management. To learn more about Pleiades, visit our documentation page.
The spectral bands of Pleiades data are the following:
B0 - Blue (430-550 nm, resolution 2m)
B1 - Green (490-610 nm, resolution 2m)
B2 - Red (600-720 nm), resolution 2m
B3 - Near Infrared (750-950 nm), resolution 2m
PAN - Panchromatic (480-830 nm), resolution 0.5m
Pleiades’s RGB bands are in 2 meter spatial resolution. To take advantage of the 0.5 m PAN band, the pansharpening process is required.
SPOT 6/7 is a satellite constellation providing very high-resolution optical imagery and is owned by Airbus. It is composed of two twin satellites orbiting the Earth 180° apart. The satellites deliver 1.5 m optical imagery and offer a daily revisit capability to any point on the globe. SPOT 6/7 data with its high spatial resolution is suitable for a range of remote sensing applications such as vegetation monitoring, precise mapping, risk and disaster management. To learn more about SPOT, visit our documentation page.
The spectral bands of SPOT data are the following:
B0 - Blue (454-519 nm, resolution 6m)
B1 - Green (527-587 nm, resolution 6m)
B2 - Red (624-694 nm), resolution 6m
B3 - Near Infrared (756-880 nm), resolution 6m
PAN - Panchromatic (455-744 nm), resolution 1.5m
SPOT’s RGB bands are in 6 meter spatial resolution. To take advantage of the 1.5 m PAN band, the pansharpening process is required.
Note: Because Pleiades and SPOT bands are very similar in wavelengths, the same custom scripts are used for both constellations.
The combination of multiple remote sensing data sources can provide invaluable information that would not be obtained with a single sensor alone. Observation-level or pixel-based fusion combines pixels from different sources to form an image containing new information (more information). Two widely used examples of pixel-based fusion are pan-sharpening and the fusion of radar and multispectral optical images. On the one hand, pan-sharpening consists of blending a high-resolution panchromatic image with a lower resolution multispectral image to obtain a high-resolution multispectral image. On the other hand, the combination of radar and optical imagery provides images with increased spectral resolution that can mitigate the drawbacks of each product (such as cloud cover for optical images), but also provide increased temporal resolution with more frequent overpasses.
In 1985 the ‘Coordination of Information on the Environment’ (CORINE) programme was initiated by the European Commission. It aimed at collecting environmental information on high priority topics for the European Union (air, water, soil, land cover, coastal erosion, biotopes, etc.). Since 1994, the established databases and programmes are managed by the European Environment Agency (EEA). The CORINE Land Cover (CLC) inventory is a vector-based dataset that consists of 44 land cover and land use classes. There are altogether 5 mapping inventories implemented since 1986, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018), 4 CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018) and 4 CLC Accounting Layers for 2000, 2006, 201, 2018.
CLC Accounting Layers are CLC status layers modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA.
CORINE Land Cover data is available in Sentinel Hub, read more in our Public Collections.
Global Land Cover products at 100 m resolution are delivered annually by The Copernicus Global Land Service (CGLS). The most recent collection 3 (version 3.0.1) of 100 m Land Cover products for the years 2015 - 2019 were generated from the PROBA-V 100 m and 300 m satellite observations and several other ancillary datasets, with global coverage. Global Land Cover products are generated from 3 years input data in three modes: base reference, consolidated or near real time mode. As from 2020, (2019-conso and 2020-nrt products) are planned to be generated from the combination of Sentinel-1 and Sentinel-2 satellite observations following end of PROBA-V operations. The Global Land Cover data contains one main land cover discrete classification map and several other additional layers. For more information on Global land cover products, see the product User Manual.
Global Land Cover data is available in Sentinel Hub, read more in our Public Collections
The Global Water Bodies product shows the surface extent covered by inland water on permanent, seasonal or occasional basis. The product available here is the Water Bodies 100m Version 1 collection which is derived from Sentinel-2 level 1C data, starting from October 2020 after the end of the PROBA-V mission and is delivered as a monthly composite product at 100m resolution. The Water Bodies product contains one main water Bodies detection layer (WB) and one Quality layer (QUAL) that provides information on the seasonal dynamics of the detected water bodies. Water Bodies detection layer (WB) shows water bodies detected using the Modified Normalized Difference Water Index (MNDWI) derived from Sentinel-2 Level 1C data. The Quality layer (QUAL) is generated from water body occurrence statistics computed from previous monthly Water Bodies products.The occurrence statistics is ranked from low occurrence to permanent occurrence. More information about the data can be obtained from the Water Bodies product page.
Water Bodies 100m data is available in Sentinel Hub, read more in our Public Collections
Vegetation Indices (VI) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) product suite.
The product is comprised of 4 raw Vegetation Indices; (1) Normalized Difference Vegetation Index (NDVI), (2) Leaf Area Index (LAI),
(3) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) and (4) Plant Phenology Index (PPI) generated near real-time (NRT) from Sentinel-2 satellite observations.
The raw Vegetation Indices are provided on a daily basis at 10m resolution from October 2016 onwards. Therefore VI products are available over the EEA39 region for the respective observation day
based on 5-day revisit period of Sentinel-2. The VIs are accompanied by a related QFLAG2 band that flags clouds, shadows, snow, open water and other areas where the VI retrieval is less reliable.
More information about raw vegetation indices is outlined in the product user manual
Vegetation Indices is available in Sentinel Hub, read more in our Public Collections.
Seasonal Trajectories (ST) product is a filtered time series of Plant Phenology Index(PPI) provided yearly on a 10-daily basis at 10m resolution .
It is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) product suite.
The Seasonal Trajectories PPI is derived through fitting a smoothing and gap filling function to the yearly time-series raw PPI values generated from Sentinel-2 satellite observations.
In addition to the PPI band, a QFLAG band indicating the quality of the smoothing process is included.
The Seasonal Trajectories provide the vegetation status for each pixel on a regular 10-day time step from January 1 2017 onwards over the EEA39 region.
More information about ST product is outlined in the product user manual
Seasonal Trajectories is available in Sentinel Hub, read more in our Public Collections.
Vegetation Phenology and Productivity Parameters (VPP) product is part of the Copernicus Land Monitoring Service (CLMS),
pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) product suite.
The VPP product is comprised of 13 parameters that describe specific stages of the seasonal vegetation growth cycle.
These parameters are extracted from Seasonal Trajectories of the Plant Phenology Index(PPI)
derived from Sentinel-2 satellite observations at 10m resolution. Since growing seasons can traverse years, VPP parameters are provided for a maximum of two growing seasons per year.
The parameters include (1) start of season (date, PPI value and slope), (2) end of season (date, PPI value and slope), (3)length of season, (4) minimum of season,
(4) peak of the season (date and PPI value), (5) amplitude, (6) small integrated value and (7) large integrated value.
VPP parameters are generated over the EEA39 region on a yearly frequency from January 1 2017 onwards.
Among other applications, the high-resolution phenology data provides a detailed assessment of the impacts of human or climate change on the ecosystem through monitoring of vegetation responses to disturbances, e.g. droughts, storms, insect infestations, and to human influence from global to local levels.
More information about VPP product is outlined in the product user manual
Vegetation Phenology and Productivity Parameters is available in Sentinel Hub, read more in our Public Collections.
The High-Resolution Snow & Ice Monitoring service (HR-S&I) is part of the Copernicus Land Monitoring Service (CLMS). The snow aspect of the service provides products measuring Snow cover (FSC, FSTOC, FSCOG, GFSC), Snow state conditions (WDS, SWS) and persistent snow area (PSA). The River and Lake Ice Extent (RLIE) products measure the presence of ice in water bodies. There are three different products distributed by the service: RLIE S1, RLIE S2, and RLIE S1+S2, which were generated based on Sentinel 1, Sentinel 2, and a combination of both constellations, respectively. Finally, the Aggregated River and Lake Ice Extent (ARLIE) provides the percent of snow-cover or snow-free ice areas in water bodies and on 10km river sections.
The Fractional Snow Cover (FSC) product provides the snow fraction at the Top Of Canopy (FSCTOC) and On Ground (FSCOG). NDSI is also provided as part of this service.
The daily cumulative Gap-filled Fractional Snow Cover (GFSC) product is a more complete version of the FSC product; gap-filled both at a spatial and temporal scale.
The SAR Wet Snow (SWS) product provides information on the wet snow extent in high-mountain areas.
The Wet/Dry Snow (WDS) product differentiates the snow state conditions within the snow mask defined by the FSCTOC information.
The Persistent Snow Area (PSA) product is generated annually from FSC products and provides the extent of persistent snow cover for that year (the area where snow is present throughout the hydrological year).
The River and Lake Ice Extent S1 (RLIE S1) product differentiates open water bodies, snow-covered or snow-free ice areas from areas with no data. The product is generated in near-real time based on the revisit time of the Sentinel 1 constellation.
The River and Lake Ice Extent S2 (RLIE S2) product differentiates open water bodies, snow-covered or snow-free ice areas from other features, cloud cover or cloud shadows and areas with no data. The product is generated in near-real time based on the revisit time of the Sentinel 2 constellation
The S1 and S2 River and Lake Ice Extent (RLIE S1+S2) product differentiates open water bodies, snow-covered or snow-free ice areas from other features, cloud cover or cloud shadows and areas with no data. The product is generated in delayed-time, resulting from the combination of RLIE S1 and RLIE S2 products.
More information about the HR-S&I snow production workflows that highlights the dependencies between the diferent products and how they are derived can be found here.
Sentinel-2 L2A 120m mosaic is a derived product, offering a cloudless mosaic of the whole world for all 12 Sentinel-2 bands. It is thus possible to create Sentinel-2 visualizations on a global level. The resolution of the collection is 120 meters. The product contains best pixel values for 10-daily periods, modelled by removing the cloudy pixels and then performing interpolation among remaining values. As clouds can be missed and as there are some parts of the world which have lengthy cloudy periods, clouds might be remaining in some parts. The collection is available for 2019 (with 6 Sentinel-2 bands) and annually since 2020 (all 12 Sentinel-2 bands). The modelling script is available here.
Find related resources and more information about the collection here.
The CNES Land Cover Map (Occupation des Sols, OSO) produces land classification for Metropolitan France at 10 m spatial resolution based on Sentinel-2 L2A data within the Theia Land Cover CES framework. Maps for 2020, 2019, and 2018 use a 23-categories nomenclature. For earlier maps in 2017 and 2016, a fully compatible 17-classes nomenclature is employed.
The Global Human Settlement (GHS) framework produces global maps of built-up, population density and settlements to monitor human presence on Earth over time. The data are managed by the Joint Research Centre (JRC) and the DG for Regional and Urban Policy (DG REGIO) of the European Commission, together with the international partnership GEO Human Planet Initiative of the GEO Human Planet Initiative.
The Global Surface Water dataset was developed by the European Commission’s Joint Research Centre (JRC) within the framework of the Copernicus Programme. It is derived from Landsat 5, 7 and 8 imagery and shows various aspects of the spatio-temporal distribution of surface water between 1984 and 2020 (with annual revisions) at the global scale in six different layers.
Global Surface Water data is available in Sentinel Hub, read more in our Public Collections.
Please check the official Global Surface Water website for more details. Detailed information on the processing methodology for the included layers can be found in the Data Users Guide and Pekel et al. (2016) as the associated scientific publication.
WorldCover is a global land cover map produced at 10m resolution based on combination of both Sentinel-1 and Sentinel-2 data.
In areas where Sentinel-2 images are covered by clouds for an extended period of time, Sentinel-1 data then provides complimentary information on the structural
characteristics of the observed land cover. Therefore, the combination of Sentinel-1 and Sentinel-2 data makes it possible to update the land cover map almost in real time.
WorldCover has been produced for 2020 with a global coverage. It provides valuable information for applications such as biodiversity, food security, carbon assessment and climate modelling.
WorldCover data is available in Sentinel Hub, read more in our Public Collections.
The 10m Annual Land Use Land Cover (LULC) map is collaboratively produced by Impact Observatory, Microsoft, and Esri. The data collection is available globally and derived from ESA Sentinel-2 imagery at 10m resolution, using Impact Ovservatory’s state of the art deep learning AI land classification model which is trained by billions of human-labeled image pixels. There are 9 LULC classes generated by the algorithm, including Built, Crops, Trees, Water, Rangeland, Flooded Vegetation, Snow/Ice, Bare Ground, and Clouds.
Have a look at the template and follow the procedure described there.
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