![]() In case more than one unit is available for a given band, you may optionally set the value of input.units in your evalscript setup function to one of the values in the Sentinel Hub Units column. The data values for each band in your custom script are presented in the units as specified here. ![]() : dataMask has no source resolution as it is calculated for each output pixel.įor more info about the bands, check HLS user guide. Thermal Infrared 2 - band 11 from Landsat Thermal Infrared 1 - band 10 from Landsat SWIR 2 - band 7 from Landsat and 12 from SentinelĬirrus - band 9 from Landsat and 10 from Sentinel SWIR 1 - band 6 from Landsat and 11 from Sentinel NIR Narrow - band 5 from Landsat and 8A from Sentinel NameĬoastal Aerosol - band 1 from Landsat and Sentinel Information in this chapter is useful when defining input object in evalscript.Īny string listed in the column Name can be an element of the input.bands array in your evalscript. This chapter will explain the object of the process API. Otherwise, your request may fail as the band is not guaranteed to be present for all data being mosaicked. RedEdge1), it is highly recommended (but not strictly necessary) to set the corresponding constellation parameter. Note that for any type of data mosaicking, for requests containing bands which are present in only one constellation (e.g. By default, both constellations are selected. Note that this parameter is set per tile and might not be directly applicable to the chosen area of interest. For example, by setting the value to 20, only tiles with at most 20% cloud coverage will be used. Satellite data will therefore not be retrieved for tiles with a higher cloud coverage estimate. Sets the upper limit for cloud coverage in percent based on the precomputed cloud coverage estimate for each tile as present in the tile metadata. km area, so this information is only an estimate. Note that "per tile" information is used here, each covering about a 31,100 sq. Pixel is selected from tile with the least cloud coverage metadata Similar to mostRecent but in reverse order The pixel will be selected from the tile, which was acquired most recentl The tiling is done by NASA for easier distribution. Note that tiles will in most cases come from the same orbit/acquisition. Sets the order of overlapping tiles from which the output result is mosaicked. This is mandatory and will ensure you get HLS data. Use hls as the value of the parameter in your API requests. For an overview of all API parameters see the API Reference. This chapter will help you understand the parameters for HLS data. To do this requires setting various parameters which depend on the collection you are querying. ![]() Each POST request can be tailored to get you exactly the data you require. The requested data will be returned as the response to your request. To access data you need to send a POST request to our process API. Vegetation monitoring, land use, land cover maps and monitoring of changes. Landsat 8-9 since April 2013, Sentinel-2 since November 2015. Operational Land Imager for Landsat 8-9, and MultiSpectral Instrument for Sentinel-2 satellites. Because of this, the products are different from Landsat 8-9 Collection 2 Level 2 surface reflectance and Sentinel-2 L2A surface reflectance. 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. The combined measurement enables global observations of the land every 2–3 days. 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. About Harmonized Landsat Sentinel Data Data Information
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