Search ga_s2am_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
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JDG_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KLA_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KKF_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KLV_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KKA_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KMB_2018-05-23_final.stac-item
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55KGR_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JEG_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HGC_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JGM_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JGN_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56JKT_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KKU_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KLD_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KKG_2018-05-23_final.stac-item
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55KHB_2018-05-23_final.stac-item
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55KGP_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KLU_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55KFP_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56JKS_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HDA_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55KGS_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KKB_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KMD_2018-05-23_final.stac-item
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HCC_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JFG_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HEE_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HDE_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HFE_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56JLQ_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HFC_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55KHS_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JHN_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KLG_2018-05-23_final.stac-item
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JFM_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56JLS_2018-05-23_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HEC_2018-05-23_final
2018-05-23 09:46:54	ga_s2am_ard_3-2-1_54HYB_2018-05-23_final
2018-05-23 09:46:54	ga_s2am_ard_3-2-1_55HCS_2018-05-23_final
2018-05-23 09:46:54	ga_s2am_ard_3-2-1_55HBS_2018-05-23_final
2018-05-23 09:46:54	ga_s2am_ard_3-2-1_55HDS_2018-05-23_final
2018-05-23 09:46:54	ga_s2am_ard_3-2-1_55HES_2018-05-23_final
2018-05-23 09:46:54	ga_s2am_ard_3-2-1_55HDA_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KXS_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KCA_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBA_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZV_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYV_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYR_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZA_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KXR_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBF_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KXQ_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYA_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBE_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KWQ_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JYM_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYT_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBC_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52LEL_2018-05-23_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52LCK_2018-05-23_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52JBT_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KCD_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KXU_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JYN_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBG_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZB_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYB_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYP_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52JBS_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBU_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52LBK_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51LZE_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51LZD_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52LEK_2018-05-23_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51LZC_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBD_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KWP_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51LYC_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52LBH_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JVJ_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JWJ_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYS_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYU_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBB_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52LBJ_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZQ_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KCG_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JXM_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JZN_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51JWG_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HUC_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51JUG_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51JXG_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HUE_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HWE_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HVE_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HXE_2018-05-23_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HXC_2018-05-23_final.stac-item
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HVC_2018-05-23_final

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years