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
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPA_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPB_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPQ_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPR_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPS_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPT_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPU_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPV_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KQB_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPC_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPD_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPE_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPF_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPG_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LPH_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LQC_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LQD_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LQE_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LQF_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53LQG_2016-08-19_final
2019-07-22 10:33:17	ga_s2am_ard_3-2-1_53KPS_2019-07-22_final.stac-item
2019-07-22 10:33:29	ga_s2am_ard_3-2-1_53KPR_2019-07-22_final.stac-item
2019-07-22 10:33:43	ga_s2am_ard_3-2-1_53KPQ_2019-07-22_final.stac-item
2019-07-22 10:33:58	ga_s2am_ard_3-2-1_53KPP_2019-07-22_final.stac-item
2019-07-22 10:34:12	ga_s2am_ard_3-2-1_53JPN_2019-07-22_final.stac-item
2019-07-22 10:34:27	ga_s2am_ard_3-2-1_53JPM_2019-07-22_final.stac-item
2019-07-22 10:34:41	ga_s2am_ard_3-2-1_53JPL_2019-07-22_final.stac-item
2019-07-22 10:34:56	ga_s2am_ard_3-2-1_53JPK_2019-07-22_final.stac-item
2019-07-22 10:35:10	ga_s2am_ard_3-2-1_53JPJ_2019-07-22_final.stac-item
2019-07-22 10:35:25	ga_s2am_ard_3-2-1_53JPH_2019-07-22_final.stac-item
2019-07-22 10:35:39	ga_s2am_ard_3-2-1_53JPG_2019-07-22_final.stac-item
2019-07-22 10:35:54	ga_s2am_ard_3-2-1_53JPF_2019-07-22_final.stac-item
2019-07-22 10:36:08	ga_s2am_ard_3-2-1_53HPE_2019-07-22_final.stac-item
2019-07-22 10:36:22	ga_s2am_ard_3-2-1_53HPD_2019-07-22_final.stac-item
2019-07-22 10:36:37	ga_s2am_ard_3-2-1_53HPC_2019-07-22_final.stac-item
2019-07-29 10:25:57	ga_s2am_ard_3-2-1_53JPF_2019-07-29_final.stac-item
2019-07-29 10:26:12	ga_s2am_ard_3-2-1_53HPE_2019-07-29_final.stac-item
2019-07-29 10:26:26	ga_s2am_ard_3-2-1_53HPD_2019-07-29_final.stac-item
2019-07-29 10:26:41	ga_s2am_ard_3-2-1_53HPC_2019-07-29_final.stac-item
2019-07-29 10:26:55	ga_s2am_ard_3-2-1_53HPB_2019-07-29_final.stac-item
2019-07-29 10:27:10	ga_s2am_ard_3-2-1_53HPA_2019-07-29_final.stac-item
2019-08-01 10:33:17	ga_s2am_ard_3-2-1_53KPS_2019-08-01_final.stac-item
2019-08-01 10:33:28	ga_s2am_ard_3-2-1_53KPR_2019-08-01_final.stac-item
2019-08-01 10:33:42	ga_s2am_ard_3-2-1_53KPQ_2019-08-01_final.stac-item
2019-08-01 10:33:57	ga_s2am_ard_3-2-1_53KPP_2019-08-01_final.stac-item
2019-08-01 10:34:12	ga_s2am_ard_3-2-1_53JPN_2019-08-01_final.stac-item
2019-08-01 10:34:26	ga_s2am_ard_3-2-1_53JPM_2019-08-01_final.stac-item
2019-08-01 10:34:41	ga_s2am_ard_3-2-1_53JPL_2019-08-01_final.stac-item
2019-08-01 10:34:55	ga_s2am_ard_3-2-1_53JPK_2019-08-01_final.stac-item
2019-08-01 10:35:10	ga_s2am_ard_3-2-1_53JPJ_2019-08-01_final.stac-item
2019-08-01 10:35:24	ga_s2am_ard_3-2-1_53JPH_2019-08-01_final.stac-item
2019-08-01 10:35:39	ga_s2am_ard_3-2-1_53JPG_2019-08-01_final.stac-item
2019-08-01 10:35:53	ga_s2am_ard_3-2-1_53JPF_2019-08-01_final.stac-item
2019-08-01 10:36:07	ga_s2am_ard_3-2-1_53HPE_2019-08-01_final.stac-item
2019-08-01 10:36:22	ga_s2am_ard_3-2-1_53HPD_2019-08-01_final.stac-item
2019-08-01 10:36:37	ga_s2am_ard_3-2-1_53HPC_2019-08-01_final.stac-item
2019-08-08 10:25:56	ga_s2am_ard_3-2-1_53JPF_2019-08-08_final.stac-item
2019-08-08 10:26:11	ga_s2am_ard_3-2-1_53HPE_2019-08-08_final.stac-item
2019-08-08 10:26:26	ga_s2am_ard_3-2-1_53HPD_2019-08-08_final.stac-item
2019-08-08 10:26:40	ga_s2am_ard_3-2-1_53HPC_2019-08-08_final.stac-item
2019-08-08 10:26:54	ga_s2am_ard_3-2-1_53HPB_2019-08-08_final.stac-item
2019-08-08 10:27:09	ga_s2am_ard_3-2-1_53HPA_2019-08-08_final.stac-item
2019-08-14 10:40:43	ga_s2am_ard_3-2-1_53LPG_2019-08-14_final.stac-item
2019-08-14 10:40:57	ga_s2am_ard_3-2-1_53LPF_2019-08-14_final.stac-item
2019-08-14 10:41:12	ga_s2am_ard_3-2-1_53LPE_2019-08-14_final.stac-item
2019-08-14 10:41:23	ga_s2am_ard_3-2-1_53LQD_2019-08-14_final.stac-item
2019-08-14 10:41:27	ga_s2am_ard_3-2-1_53LPD_2019-08-14_final
2019-08-14 10:41:38	ga_s2am_ard_3-2-1_53LQC_2019-08-14_final
2019-08-14 10:41:41	ga_s2am_ard_3-2-1_53LPC_2019-08-14_final
2019-08-14 10:41:52	ga_s2am_ard_3-2-1_53KQB_2019-08-14_final
2019-08-14 10:41:56	ga_s2am_ard_3-2-1_53KPB_2019-08-14_final.stac-item
2019-08-14 10:42:10	ga_s2am_ard_3-2-1_53KPA_2019-08-14_final.stac-item
2019-08-14 10:42:25	ga_s2am_ard_3-2-1_53KPV_2019-08-14_final.stac-item
2019-08-14 10:42:39	ga_s2am_ard_3-2-1_53KPU_2019-08-14_final.stac-item
2019-08-14 10:42:54	ga_s2am_ard_3-2-1_53KPT_2019-08-14_final.stac-item
2019-08-14 10:43:08	ga_s2am_ard_3-2-1_53KPS_2019-08-14_final.stac-item
2019-08-14 10:43:22	ga_s2am_ard_3-2-1_53KPR_2019-08-14_final.stac-item
2019-08-14 10:43:37	ga_s2am_ard_3-2-1_53KPQ_2019-08-14_final.stac-item
2021-01-02 10:36:17	ga_s2am_ard_3-2-1_53HPD_2021-01-02_final.stac-item
2021-04-19 10:27:00	ga_s2am_ard_3-2-1_53HPA_2021-04-19_final.stac-item
2021-04-19 10:27:10	ga_s2am_ard_3-2-1_53HPV_2021-04-19_final
2021-04-22 10:33:33	ga_s2am_ard_3-2-1_53KPQ_2021-04-22_final.stac-item
2021-04-22 10:33:48	ga_s2am_ard_3-2-1_53KPP_2021-04-22_final.stac-item
2021-04-28 10:50:17	ga_s2am_ard_3-2-1_53LPH_2021-04-28_final
2021-04-28 10:50:25	ga_s2am_ard_3-2-1_53LQG_2021-04-28_final
2021-04-28 10:50:32	ga_s2am_ard_3-2-1_53LPG_2021-04-28_final.stac-item
2021-05-02 10:33:10	ga_s2am_ard_3-2-1_53KPS_2021-05-02_final.stac-item
2021-05-02 10:33:22	ga_s2am_ard_3-2-1_53KPR_2021-05-02_final.stac-item
2021-05-02 10:33:36	ga_s2am_ard_3-2-1_53KPQ_2021-05-02_final.stac-item
2021-05-02 10:33:51	ga_s2am_ard_3-2-1_53KPP_2021-05-02_final.stac-item
2021-05-02 10:34:05	ga_s2am_ard_3-2-1_53JPN_2021-05-02_final.stac-item
2021-05-02 10:34:19	ga_s2am_ard_3-2-1_53JPM_2021-05-02_final.stac-item
2021-05-02 10:34:34	ga_s2am_ard_3-2-1_53JPL_2021-05-02_final.stac-item
2021-05-02 10:34:48	ga_s2am_ard_3-2-1_53JPK_2021-05-02_final.stac-item
2021-05-02 10:35:03	ga_s2am_ard_3-2-1_53JPJ_2021-05-02_final.stac-item
2021-05-02 10:35:17	ga_s2am_ard_3-2-1_53JPH_2021-05-02_final.stac-item
2021-05-02 10:35:32	ga_s2am_ard_3-2-1_53JPG_2021-05-02_final.stac-item
2021-05-02 10:35:46	ga_s2am_ard_3-2-1_53JPF_2021-05-02_final.stac-item
2021-05-02 10:36:01	ga_s2am_ard_3-2-1_53HPE_2021-05-02_final.stac-item
2021-05-02 10:36:15	ga_s2am_ard_3-2-1_53HPD_2021-05-02_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

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