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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

49 results

Time (local)	Label
2021-11-08 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2021-11-08_final
2021-11-08 10:35:18	ga_s2am_ard_3-2-1_53JMJ_2021-11-08_final
2021-11-08 10:35:19	ga_s2am_ard_3-2-1_53JQH_2021-11-08_final
2021-11-08 10:35:23	ga_s2am_ard_3-2-1_53JPH_2021-11-08_final
2021-11-08 10:35:26	ga_s2am_ard_3-2-1_53JNH_2021-11-08_final
2021-11-08 10:35:30	ga_s2am_ard_3-2-1_53JMH_2021-11-08_final
2021-11-08 10:35:33	ga_s2am_ard_3-2-1_53JQG_2021-11-08_final
2021-11-08 10:35:37	ga_s2am_ard_3-2-1_53JPG_2021-11-08_final
2021-11-08 10:35:41	ga_s2am_ard_3-2-1_53JNG_2021-11-08_final
2021-11-08 10:35:44	ga_s2am_ard_3-2-1_53JMG_2021-11-08_final
2021-11-08 10:35:47	ga_s2am_ard_3-2-1_53JQF_2021-11-08_final
2021-11-08 10:35:52	ga_s2am_ard_3-2-1_53JPF_2021-11-08_final
2021-11-08 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-11-08_final
2021-11-08 10:35:59	ga_s2am_ard_3-2-1_53JMF_2021-11-08_final
2021-11-08 10:35:59	ga_s2am_ard_3-2-1_53HQE_2021-11-08_final
2021-11-08 10:36:06	ga_s2am_ard_3-2-1_53HPE_2021-11-08_final
2021-11-08 10:36:10	ga_s2am_ard_3-2-1_53HNE_2021-11-08_final
2021-11-08 10:36:13	ga_s2am_ard_3-2-1_53HME_2021-11-08_final
2021-11-08 10:36:20	ga_s2am_ard_3-2-1_53HLE_2021-11-08_final
2021-11-08 10:36:20	ga_s2am_ard_3-2-1_53HPD_2021-11-08_final
2021-11-08 10:36:24	ga_s2am_ard_3-2-1_53HND_2021-11-08_final
2021-11-08 10:36:28	ga_s2am_ard_3-2-1_53HMD_2021-11-08_final
2021-11-08 10:36:31	ga_s2am_ard_3-2-1_53HLD_2021-11-08_final
2021-11-08 10:36:35	ga_s2am_ard_3-2-1_53HPC_2021-11-08_final
2021-11-08 10:36:39	ga_s2am_ard_3-2-1_53HNC_2021-11-08_final
2021-11-08 10:36:42	ga_s2am_ard_3-2-1_53HMC_2021-11-08_final.stac-item
2021-11-08 10:36:49	ga_s2am_ard_3-2-1_53HPB_2021-11-08_final
2021-11-08 10:36:53	ga_s2am_ard_3-2-1_53HNB_2021-11-08_final
2021-11-08 10:36:57	ga_s2am_ard_3-2-1_53HMB_2021-11-08_final.stac-item
2021-11-08 10:37:02	ga_s2am_ard_3-2-1_53HPA_2021-11-08_final
2021-11-08 10:37:12	ga_s2am_ard_3-2-1_53HPV_2021-11-08_final.stac-item
2021-11-08 12:13:43	ga_s2am_ard_3-2-1_50KKB_2021-11-08_final
2021-11-08 12:13:43	ga_s2am_ard_3-2-1_49KHS_2021-11-08_final.stac-item
2021-11-08 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-11-08_final
2021-11-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-11-08_final
2021-11-08 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-11-08_final
2021-11-08 12:14:10	ga_s2am_ard_3-2-1_50KKV_2021-11-08_final
2021-11-08 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-11-08_final
2021-11-08 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-11-08_final
2021-11-08 12:14:22	ga_s2am_ard_3-2-1_50KKU_2021-11-08_final
2021-11-08 12:14:24	ga_s2am_ard_3-2-1_49KHP_2021-11-08_final
2021-11-08 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-11-08_final
2021-11-08 12:14:34	ga_s2am_ard_3-2-1_49JHN_2021-11-08_final
2021-11-08 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-11-08_final
2021-11-08 12:14:48	ga_s2am_ard_3-2-1_49JFN_2021-11-08_final
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final
2021-11-08 12:15:03	ga_s2am_ard_3-2-1_49JFM_2021-11-08_final
2021-11-08 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-11-08_final
2021-11-08 12:15:23	ga_s2am_ard_3-2-1_49JGK_2021-11-08_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