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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
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXB_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50JRT_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWR_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVR_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXP_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JTN_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JWN_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JUM_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JVN_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JXN_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUP_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KYV_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUR_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXR_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JTM_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXQ_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JTL_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JTG_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUQ_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50JQM_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPJ_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQG_2017-12-17_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HTB_2017-12-17_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUS_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HNG_2017-12-17_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWU_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVU_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXS_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVP_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVT_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWT_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KYU_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWP_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KYA_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KYT_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWS_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWA_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVS_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXV_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51JTF_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50JQL_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HUC_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPH_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HUB_2017-12-17_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPG_2017-12-17_final.stac-item
2017-12-18 09:22:39	ga_s2am_ard_3-2-1_56JNT_2017-12-17_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53KLB_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LMF_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LME_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LLD_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KGE_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KHD_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LMG_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53KKV_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LHK_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LKE_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LGK_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LGN_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LHN_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LKH_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KED_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KHE_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KGB_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KGF_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KGC_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53KKT_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53KKU_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KGD_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LLF_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LGL_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LHL_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LGH_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LKF_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KEC_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LKC_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52LHH_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LKJ_2017-12-18_final.stac-item
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53KKA_2017-12-18_final
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LLH_2017-12-18_final.stac-item
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_53LMH_2017-12-18_final.stac-item
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KFE_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KHV_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KEA_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JGT_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JDT_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JFS_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KFU_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KGU_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KFA_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JGS_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KGA_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KGV_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JGR_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_53KKR_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KGB_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KEU_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KDU_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KGC_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KEC_2017-12-18_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KFB_2017-12-18_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

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