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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
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVN_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUM_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JQN_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVH_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUK_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUC_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HPH_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVK_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWK_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JQM_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTG_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JRT_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTL_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KXB_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVF_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVL_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWL_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTJ_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUG_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HVE_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JPL_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUF_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JQP_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUJ_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUE_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTF_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JRS_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUB_2018-06-05_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVG_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWJ_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KXV_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWV_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWA_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVV_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51LXC_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVB_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWB_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51LWC_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51LZD_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51LYD_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVJ_2018-06-05_final
2018-06-05 11:37:03	ga_s2am_ard_3-2-1_50HPH_2018-06-05_final
2018-06-05 11:37:03	ga_s2am_ard_3-2-1_51HUB_2018-06-05_final.stac-item
2018-06-05 11:37:03	ga_s2am_ard_3-2-1_50HQH_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JNT_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56HLH_2018-06-05_final.stac-item
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JNN_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JMN_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JMP_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JNP_2018-06-05_final.stac-item
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_55GEP_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_55GFP_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_55HGV_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JNL_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JNR_2018-06-05_final.stac-item
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56HKF_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56HMK_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JLL_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56HLK_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_55GFR_2018-06-05_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JNM_2018-06-05_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDM_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JEM_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFS_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JET_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDN_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JEN_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JER_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KHB_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDQ_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KHA_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JBM_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JEQ_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFT_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KHD_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KHC_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JCQ_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFQ_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDL_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_53KLB_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JEL_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDR_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JCM_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52HDK_2018-06-06_final.stac-item
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JCL_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFM_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JFP_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JGR_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KFG_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_53LMG_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JBL_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDT_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JEP_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52LFH_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_53LLC_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KFE_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52LHJ_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52LGJ_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_53LKD_2018-06-06_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDP_2018-06-06_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