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
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final.stac-item
2020-12-27 11:57:05	ga_s2am_ard_3-2-1_50HMH_2020-12-27_final.stac-item
2020-12-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2020-12-27_final.stac-item
2020-12-28 09:41:41	ga_s2am_ard_3-2-1_56KLF_2020-12-28_final.stac-item
2020-12-28 09:41:44	ga_s2am_ard_3-2-1_56KKF_2020-12-28_final.stac-item
2020-12-28 09:41:56	ga_s2am_ard_3-2-1_56KLE_2020-12-28_final.stac-item
2020-12-28 09:42:10	ga_s2am_ard_3-2-1_56KLD_2020-12-28_final.stac-item
2020-12-28 09:42:39	ga_s2am_ard_3-2-1_56KLB_2020-12-28_final.stac-item
2020-12-28 09:42:43	ga_s2am_ard_3-2-1_56KKB_2020-12-28_final.stac-item
2020-12-28 09:42:49	ga_s2am_ard_3-2-1_56KMA_2020-12-28_final.stac-item
2020-12-28 09:42:54	ga_s2am_ard_3-2-1_56KLA_2020-12-28_final.stac-item
2020-12-28 09:42:57	ga_s2am_ard_3-2-1_56KKA_2020-12-28_final.stac-item
2020-12-28 09:43:08	ga_s2am_ard_3-2-1_56KLV_2020-12-28_final.stac-item
2020-12-28 09:43:12	ga_s2am_ard_3-2-1_56KKV_2020-12-28_final.stac-item
2020-12-28 09:43:23	ga_s2am_ard_3-2-1_56KLU_2020-12-28_final.stac-item
2020-12-28 09:43:26	ga_s2am_ard_3-2-1_56KKU_2020-12-28_final.stac-item
2020-12-28 09:43:37	ga_s2am_ard_3-2-1_56JLT_2020-12-28_final.stac-item
2020-12-28 09:43:41	ga_s2am_ard_3-2-1_56JKT_2020-12-28_final.stac-item
2020-12-28 09:43:44	ga_s2am_ard_3-2-1_55JGN_2020-12-28_final.stac-item
2020-12-28 09:43:48	ga_s2am_ard_3-2-1_55JFN_2020-12-28_final.stac-item
2020-12-28 09:43:52	ga_s2am_ard_3-2-1_56JLS_2020-12-28_final.stac-item
2020-12-28 09:43:55	ga_s2am_ard_3-2-1_55JHM_2020-12-28_final.stac-item
2020-12-28 09:43:55	ga_s2am_ard_3-2-1_56JKS_2020-12-28_final.stac-item
2020-12-28 09:43:59	ga_s2am_ard_3-2-1_55JGM_2020-12-28_final.stac-item
2020-12-28 09:44:02	ga_s2am_ard_3-2-1_55JFM_2020-12-28_final.stac-item
2020-12-28 09:44:05	ga_s2am_ard_3-2-1_56JLR_2020-12-28_final.stac-item
2020-12-28 09:44:10	ga_s2am_ard_3-2-1_56JKR_2020-12-28_final.stac-item
2020-12-28 09:44:13	ga_s2am_ard_3-2-1_55JGL_2020-12-28_final.stac-item
2020-12-28 09:44:16	ga_s2am_ard_3-2-1_56JLQ_2020-12-28_final.stac-item
2020-12-28 09:44:17	ga_s2am_ard_3-2-1_55JFL_2020-12-28_final.stac-item
2020-12-28 09:44:24	ga_s2am_ard_3-2-1_56JKQ_2020-12-28_final.stac-item
2020-12-28 09:44:25	ga_s2am_ard_3-2-1_55JEL_2020-12-28_final.stac-item
2020-12-28 09:44:28	ga_s2am_ard_3-2-1_55JGK_2020-12-28_final.stac-item
2020-12-28 09:44:31	ga_s2am_ard_3-2-1_55JFK_2020-12-28_final.stac-item
2020-12-28 09:44:35	ga_s2am_ard_3-2-1_55JEK_2020-12-28_final.stac-item
2020-12-28 09:44:39	ga_s2am_ard_3-2-1_56JKP_2020-12-28_final.stac-item
2020-12-28 09:44:42	ga_s2am_ard_3-2-1_55JGJ_2020-12-28_final.stac-item
2020-12-28 09:44:46	ga_s2am_ard_3-2-1_55JFJ_2020-12-28_final.stac-item
2020-12-28 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2020-12-28_final.stac-item
2020-12-28 09:44:54	ga_s2am_ard_3-2-1_56JKN_2020-12-28_final.stac-item
2020-12-28 09:44:57	ga_s2am_ard_3-2-1_55JGH_2020-12-28_final.stac-item
2020-12-28 09:45:00	ga_s2am_ard_3-2-1_55JFH_2020-12-28_final.stac-item
2020-12-28 09:45:04	ga_s2am_ard_3-2-1_55JEH_2020-12-28_final.stac-item
2020-12-28 09:45:08	ga_s2am_ard_3-2-1_56JKM_2020-12-28_final.stac-item
2020-12-28 09:45:11	ga_s2am_ard_3-2-1_55JGG_2020-12-28_final.stac-item
2020-12-28 09:45:15	ga_s2am_ard_3-2-1_55JFG_2020-12-28_final.stac-item
2020-12-28 09:45:18	ga_s2am_ard_3-2-1_55JEG_2020-12-28_final.stac-item
2020-12-28 09:45:21	ga_s2am_ard_3-2-1_56JKL_2020-12-28_final.stac-item
2020-12-28 09:45:25	ga_s2am_ard_3-2-1_55JGF_2020-12-28_final.stac-item
2020-12-28 09:45:26	ga_s2am_ard_3-2-1_55JDG_2020-12-28_final.stac-item
2020-12-28 09:45:29	ga_s2am_ard_3-2-1_55JFF_2020-12-28_final.stac-item
2020-12-28 09:45:32	ga_s2am_ard_3-2-1_56HKK_2020-12-28_final.stac-item
2020-12-28 09:45:33	ga_s2am_ard_3-2-1_55JEF_2020-12-28_final.stac-item
2020-12-28 09:45:37	ga_s2am_ard_3-2-1_55JDF_2020-12-28_final.stac-item
2020-12-28 09:45:40	ga_s2am_ard_3-2-1_55HGE_2020-12-28_final.stac-item
2020-12-28 09:45:44	ga_s2am_ard_3-2-1_55HFE_2020-12-28_final.stac-item
2020-12-28 09:45:47	ga_s2am_ard_3-2-1_55HEE_2020-12-28_final.stac-item
2020-12-28 09:45:50	ga_s2am_ard_3-2-1_55HDE_2020-12-28_final.stac-item
2020-12-28 09:45:54	ga_s2am_ard_3-2-1_55HGD_2020-12-28_final.stac-item
2020-12-28 09:45:58	ga_s2am_ard_3-2-1_55HFD_2020-12-28_final.stac-item
2020-12-28 09:46:02	ga_s2am_ard_3-2-1_55HED_2020-12-28_final.stac-item
2020-12-28 09:46:05	ga_s2am_ard_3-2-1_55HDD_2020-12-28_final.stac-item
2020-12-28 09:46:07	ga_s2am_ard_3-2-1_55HGC_2020-12-28_final.stac-item
2020-12-28 09:46:12	ga_s2am_ard_3-2-1_55HFC_2020-12-28_final.stac-item
2020-12-28 09:46:16	ga_s2am_ard_3-2-1_55HEC_2020-12-28_final.stac-item
2020-12-28 09:46:17	ga_s2am_ard_3-2-1_55HGB_2020-12-28_final.stac-item
2020-12-28 09:46:20	ga_s2am_ard_3-2-1_55HDC_2020-12-28_final.stac-item
2020-12-28 09:46:27	ga_s2am_ard_3-2-1_55HFB_2020-12-28_final.stac-item
2020-12-28 09:46:27	ga_s2am_ard_3-2-1_55HCC_2020-12-28_final.stac-item
2020-12-28 09:46:31	ga_s2am_ard_3-2-1_55HEB_2020-12-28_final.stac-item
2020-12-28 09:46:34	ga_s2am_ard_3-2-1_55HDB_2020-12-28_final.stac-item
2020-12-28 09:46:38	ga_s2am_ard_3-2-1_55HCB_2020-12-28_final.stac-item
2020-12-28 09:46:41	ga_s2am_ard_3-2-1_55HFA_2020-12-28_final.stac-item
2020-12-28 09:46:45	ga_s2am_ard_3-2-1_55HEA_2020-12-28_final.stac-item
2020-12-28 09:46:49	ga_s2am_ard_3-2-1_55HDA_2020-12-28_final.stac-item
2020-12-28 09:46:52	ga_s2am_ard_3-2-1_55HCA_2020-12-28_final.stac-item
2020-12-28 09:46:56	ga_s2am_ard_3-2-1_55HFV_2020-12-28_final.stac-item
2020-12-28 09:47:00	ga_s2am_ard_3-2-1_55HEV_2020-12-28_final.stac-item
2020-12-28 09:47:03	ga_s2am_ard_3-2-1_55HDV_2020-12-28_final.stac-item
2020-12-28 09:47:07	ga_s2am_ard_3-2-1_55HCV_2020-12-28_final.stac-item
2020-12-28 09:47:14	ga_s2am_ard_3-2-1_55HEU_2020-12-28_final.stac-item
2020-12-28 09:47:18	ga_s2am_ard_3-2-1_55HDU_2020-12-28_final.stac-item
2020-12-28 09:47:19	ga_s2am_ard_3-2-1_55HFT_2020-12-28_final
2020-12-28 09:47:21	ga_s2am_ard_3-2-1_55HCU_2020-12-28_final.stac-item
2020-12-28 09:47:28	ga_s2am_ard_3-2-1_55HET_2020-12-28_final.stac-item
2020-12-28 09:47:29	ga_s2am_ard_3-2-1_55HBU_2020-12-28_final.stac-item
2020-12-28 09:47:32	ga_s2am_ard_3-2-1_55HDT_2020-12-28_final.stac-item
2020-12-28 09:47:36	ga_s2am_ard_3-2-1_55HCT_2020-12-28_final.stac-item
2020-12-28 09:47:40	ga_s2am_ard_3-2-1_55HBT_2020-12-28_final.stac-item
2020-12-28 09:47:43	ga_s2am_ard_3-2-1_55HES_2020-12-28_final.stac-item
2020-12-28 09:47:44	ga_s2am_ard_3-2-1_54HYC_2020-12-28_final.stac-item
2020-12-28 09:47:47	ga_s2am_ard_3-2-1_55HDS_2020-12-28_final.stac-item
2020-12-28 09:47:50	ga_s2am_ard_3-2-1_55HCS_2020-12-28_final.stac-item
2020-12-28 09:47:53	ga_s2am_ard_3-2-1_55HBS_2020-12-28_final.stac-item
2020-12-28 09:47:55	ga_s2am_ard_3-2-1_54HYB_2020-12-28_final.stac-item
2020-12-28 09:47:58	ga_s2am_ard_3-2-1_55GER_2020-12-28_final.stac-item
2020-12-28 09:48:01	ga_s2am_ard_3-2-1_55GDR_2020-12-28_final.stac-item
2020-12-28 09:48:05	ga_s2am_ard_3-2-1_55GCR_2020-12-28_final.stac-item
2020-12-28 09:48:08	ga_s2am_ard_3-2-1_55GBR_2020-12-28_final.stac-item
2020-12-28 09:48:08	ga_s2am_ard_3-2-1_54GYA_2020-12-28_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