Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLN_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKM_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKR_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGQ_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKS_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKU_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KLU_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KLA_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KNA_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KMC_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KNC_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKA_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JMS_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KLC_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KMU_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KMB_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLT_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KNB_2018-03-01_final
2018-03-02 09:50:45	ga_s2bm_ard_3-2-1_55KEV_2018-03-02_final
2018-03-02 09:50:45	ga_s2bm_ard_3-2-1_55LFC_2018-03-02_final
2018-03-02 09:50:45	ga_s2bm_ard_3-2-1_55LHC_2018-03-02_final.stac-item
2018-03-02 09:50:45	ga_s2bm_ard_3-2-1_55LGC_2018-03-02_final
2018-03-02 09:50:45	ga_s2bm_ard_3-2-1_56KKG_2018-03-02_final.stac-item
2018-03-02 09:50:45	ga_s2bm_ard_3-2-1_55KGB_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JCH_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JFH_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KEV_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_54HYH_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55HBC_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KGP_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KGQ_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JDM_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JEM_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55HBB_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_54HYG_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KET_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KFR_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KFP_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KFT_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JGM_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KGR_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KEP_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KFU_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KGT_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KDP_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JFN_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KEU_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KGS_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55KDS_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWV_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVV_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LWE_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXR_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVT_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXT_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KUT_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KYV_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXU_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWA_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXV_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_52LBK_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LZC_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LYC_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LZE_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LYE_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KYT_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVA_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXA_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KYB_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LZD_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_52LBJ_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LYD_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVS_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JUH_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JTG_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPH_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JTL_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HTB_2018-03-02_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQG_2018-03-02_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JTM_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KUP_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KXP_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KXR_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KUR_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JWM_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVM_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVP_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50JRS_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWP_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JXN_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JUN_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years