Search ga_s2am_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HTF_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HTG_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HTH_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HTJ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HTK_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HUF_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HUG_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HUH_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HUJ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HUK_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTL_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTM_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTN_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTP_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTQ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTR_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTS_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JTT_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUL_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUM_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUN_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUP_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUQ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUR_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUS_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUT_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVL_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVM_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVN_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVP_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVQ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVR_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVS_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JVT_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JWQ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JWR_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JWS_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JWT_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KTU_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KUU_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HNB_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HNC_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HPA_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HPB_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HPC_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KVU_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HPD_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HPE_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HQA_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HQB_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HQC_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HQD_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KWU_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53HQE_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JPF_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JPG_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQF_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQG_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQH_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQJ_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQK_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JQL_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JRM_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53JRN_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_53KRP_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KTV_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KUV_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KVV_2017-12-26_final.stac-item
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54KWV_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KKA_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KKV_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KLA_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KLV_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KMA_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KMV_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JKS_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JKT_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JLR_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JLS_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JLT_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JMR_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JMS_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHM_2017-12-26_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKR_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKS_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JLQ_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JLR_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JLS_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JMR_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JMS_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGK_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGL_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JHM_2017-12-26_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years