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
2021-06-02 11:44:35	ga_s2am_ard_3-2-1_50JQT_2021-06-02_final.stac-item
2021-06-02 11:44:39	ga_s2am_ard_3-2-1_50JPT_2021-06-02_final.stac-item
2021-06-02 11:44:41	ga_s2am_ard_3-2-1_51JUM_2021-06-02_final.stac-item
2021-06-02 11:44:46	ga_s2am_ard_3-2-1_50JRS_2021-06-02_final.stac-item
2021-06-02 11:44:46	ga_s2am_ard_3-2-1_51JTM_2021-06-02_final.stac-item
2021-06-02 11:44:50	ga_s2am_ard_3-2-1_50JQS_2021-06-02_final.stac-item
2021-06-02 11:44:52	ga_s2am_ard_3-2-1_51JUL_2021-06-02_final.stac-item
2021-06-02 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-06-02_final.stac-item
2021-06-02 11:45:00	ga_s2am_ard_3-2-1_51JTL_2021-06-02_final.stac-item
2021-06-02 11:45:04	ga_s2am_ard_3-2-1_50JQR_2021-06-02_final.stac-item
2021-06-02 11:45:08	ga_s2am_ard_3-2-1_50JPR_2021-06-02_final.stac-item
2021-06-02 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-06-02_final.stac-item
2021-06-02 11:45:15	ga_s2am_ard_3-2-1_51JTK_2021-06-02_final.stac-item
2021-06-02 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2021-06-02_final.stac-item
2021-06-02 11:45:22	ga_s2am_ard_3-2-1_50JPQ_2021-06-02_final.stac-item
2021-06-02 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2021-06-02_final.stac-item
2021-06-02 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2021-06-02_final.stac-item
2021-06-02 11:45:33	ga_s2am_ard_3-2-1_50JQP_2021-06-02_final.stac-item
2021-06-02 11:45:37	ga_s2am_ard_3-2-1_50JPP_2021-06-02_final.stac-item
2021-06-02 11:45:40	ga_s2am_ard_3-2-1_50JNP_2021-06-02_final.stac-item
2021-06-02 11:45:44	ga_s2am_ard_3-2-1_51JTH_2021-06-02_final.stac-item
2021-06-02 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-06-02_final.stac-item
2021-06-02 11:45:51	ga_s2am_ard_3-2-1_50JPN_2021-06-02_final.stac-item
2021-06-02 11:45:55	ga_s2am_ard_3-2-1_50JNN_2021-06-02_final.stac-item
2021-06-02 11:45:58	ga_s2am_ard_3-2-1_51JTG_2021-06-02_final.stac-item
2021-06-02 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-06-02_final.stac-item
2021-06-02 11:46:06	ga_s2am_ard_3-2-1_50JPM_2021-06-02_final.stac-item
2021-06-02 11:46:08	ga_s2am_ard_3-2-1_51JTF_2021-06-02_final.stac-item
2021-06-02 11:46:09	ga_s2am_ard_3-2-1_50JNM_2021-06-02_final.stac-item
2021-06-02 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-06-02_final.stac-item
2021-06-02 11:46:16	ga_s2am_ard_3-2-1_50JQL_2021-06-02_final.stac-item
2021-06-02 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-06-02_final.stac-item
2021-06-02 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-06-02_final.stac-item
2021-06-02 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-06-02_final.stac-item
2021-06-02 11:46:31	ga_s2am_ard_3-2-1_50HQK_2021-06-02_final.stac-item
2021-06-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-06-02_final.stac-item
2021-06-02 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-02_final.stac-item
2021-06-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-06-02_final.stac-item
2021-06-02 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-06-02_final.stac-item
2021-06-02 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-06-02_final.stac-item
2021-06-02 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-02_final.stac-item
2021-06-02 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-06-02_final.stac-item
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final.stac-item
2021-06-03 09:35:22	ga_s2am_ard_3-2-1_56JML_2021-06-03_final.stac-item
2021-06-03 09:35:25	ga_s2am_ard_3-2-1_56JLL_2021-06-03_final.stac-item
2021-06-03 09:35:28	ga_s2am_ard_3-2-1_56JKL_2021-06-03_final.stac-item
2021-06-03 09:35:31	ga_s2am_ard_3-2-1_55JGF_2021-06-03_final.stac-item
2021-06-03 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-06-03_final.stac-item
2021-06-03 09:35:40	ga_s2am_ard_3-2-1_56HLK_2021-06-03_final.stac-item
2021-06-03 09:35:43	ga_s2am_ard_3-2-1_56HKK_2021-06-03_final.stac-item
2021-06-03 09:35:45	ga_s2am_ard_3-2-1_55HGE_2021-06-03_final.stac-item
2021-06-03 09:35:49	ga_s2am_ard_3-2-1_56HMJ_2021-06-03_final.stac-item
2021-06-03 09:35:51	ga_s2am_ard_3-2-1_55HFE_2021-06-03_final.stac-item
2021-06-03 09:35:54	ga_s2am_ard_3-2-1_56HLJ_2021-06-03_final.stac-item
2021-06-03 09:35:57	ga_s2am_ard_3-2-1_56HKJ_2021-06-03_final.stac-item
2021-06-03 09:35:59	ga_s2am_ard_3-2-1_55HGD_2021-06-03_final.stac-item
2021-06-03 09:36:03	ga_s2am_ard_3-2-1_55HFD_2021-06-03_final.stac-item
2021-06-03 09:36:08	ga_s2am_ard_3-2-1_56HLH_2021-06-03_final
2021-06-03 09:36:12	ga_s2am_ard_3-2-1_56HKH_2021-06-03_final.stac-item
2021-06-03 09:36:14	ga_s2am_ard_3-2-1_55HGC_2021-06-03_final.stac-item
2021-06-03 09:36:18	ga_s2am_ard_3-2-1_55HFC_2021-06-03_final.stac-item
2021-06-03 09:36:23	ga_s2am_ard_3-2-1_56HLG_2021-06-03_final
2021-06-03 09:36:27	ga_s2am_ard_3-2-1_56HKG_2021-06-03_final.stac-item
2021-06-03 09:36:28	ga_s2am_ard_3-2-1_55HGB_2021-06-03_final.stac-item
2021-06-03 09:36:32	ga_s2am_ard_3-2-1_55HFB_2021-06-03_final.stac-item
2021-06-03 09:36:41	ga_s2am_ard_3-2-1_56HKF_2021-06-03_final.stac-item
2021-06-03 09:36:43	ga_s2am_ard_3-2-1_55HGA_2021-06-03_final.stac-item
2021-06-03 09:36:47	ga_s2am_ard_3-2-1_55HFA_2021-06-03_final.stac-item
2021-06-03 09:36:51	ga_s2am_ard_3-2-1_55HEA_2021-06-03_final.stac-item
2021-06-03 09:36:57	ga_s2am_ard_3-2-1_55HGV_2021-06-03_final.stac-item
2021-06-03 09:37:01	ga_s2am_ard_3-2-1_55HFV_2021-06-03_final.stac-item
2021-06-03 09:37:04	ga_s2am_ard_3-2-1_55HEV_2021-06-03_final.stac-item
2021-06-03 09:37:11	ga_s2am_ard_3-2-1_55HGU_2021-06-03_final
2021-06-03 09:37:15	ga_s2am_ard_3-2-1_55HFU_2021-06-03_final
2021-06-03 09:37:19	ga_s2am_ard_3-2-1_55HEU_2021-06-03_final.stac-item
2021-06-03 09:37:30	ga_s2am_ard_3-2-1_55HFT_2021-06-03_final
2021-06-03 09:37:34	ga_s2am_ard_3-2-1_55HET_2021-06-03_final.stac-item
2021-06-03 09:37:41	ga_s2am_ard_3-2-1_55HDT_2021-06-03_final.stac-item
2021-06-03 09:37:44	ga_s2am_ard_3-2-1_55HFS_2021-06-03_final
2021-06-03 09:37:48	ga_s2am_ard_3-2-1_55HES_2021-06-03_final.stac-item
2021-06-03 09:37:52	ga_s2am_ard_3-2-1_55HDS_2021-06-03_final.stac-item
2021-06-03 09:37:59	ga_s2am_ard_3-2-1_55GFR_2021-06-03_final.stac-item
2021-06-03 09:38:03	ga_s2am_ard_3-2-1_55GER_2021-06-03_final.stac-item
2021-06-03 09:38:06	ga_s2am_ard_3-2-1_55GDR_2021-06-03_final.stac-item
2021-06-03 09:38:13	ga_s2am_ard_3-2-1_55GFQ_2021-06-03_final.stac-item
2021-06-03 09:38:17	ga_s2am_ard_3-2-1_55GEQ_2021-06-03_final.stac-item
2021-06-03 09:38:21	ga_s2am_ard_3-2-1_55GDQ_2021-06-03_final.stac-item
2021-06-03 09:38:27	ga_s2am_ard_3-2-1_55GFP_2021-06-03_final.stac-item
2021-06-03 09:38:31	ga_s2am_ard_3-2-1_55GEP_2021-06-03_final.stac-item
2021-06-03 09:38:35	ga_s2am_ard_3-2-1_55GDP_2021-06-03_final.stac-item
2021-06-03 09:38:41	ga_s2am_ard_3-2-1_55GCP_2021-06-03_final.stac-item
2021-06-03 09:38:42	ga_s2am_ard_3-2-1_55GFN_2021-06-03_final.stac-item
2021-06-03 11:15:43	ga_s2am_ard_3-2-1_51JXH_2021-06-03_final.stac-item
2021-06-03 11:15:58	ga_s2am_ard_3-2-1_51JXG_2021-06-03_final.stac-item
2021-06-03 11:16:13	ga_s2am_ard_3-2-1_51JXF_2021-06-03_final.stac-item
2021-06-03 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-06-03_final.stac-item
2021-06-03 11:16:27	ga_s2am_ard_3-2-1_51HXE_2021-06-03_final.stac-item
2021-06-03 11:16:31	ga_s2am_ard_3-2-1_51HWE_2021-06-03_final.stac-item
2021-06-03 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-06-03_final.stac-item
2021-06-03 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-06-03_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

All years