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
2020-02-01 11:56:00	ga_s2am_ard_3-2-1_50JMM_2020-02-01_final.stac-item
2020-02-01 11:56:03	ga_s2am_ard_3-2-1_50JLM_2020-02-01_final.stac-item
2020-02-01 11:56:06	ga_s2am_ard_3-2-1_50JKM_2020-02-01_final.stac-item
2020-02-01 11:56:10	ga_s2am_ard_3-2-1_50JNL_2020-02-01_final.stac-item
2020-02-01 11:56:14	ga_s2am_ard_3-2-1_50JML_2020-02-01_final.stac-item
2020-02-01 11:56:18	ga_s2am_ard_3-2-1_50JLL_2020-02-01_final.stac-item
2020-02-01 11:56:22	ga_s2am_ard_3-2-1_50HNK_2020-02-01_final.stac-item
2020-02-01 11:56:29	ga_s2am_ard_3-2-1_50HMK_2020-02-01_final.stac-item
2020-02-01 11:56:32	ga_s2am_ard_3-2-1_50HLK_2020-02-01_final.stac-item
2020-02-01 11:56:39	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final.stac-item
2020-02-01 11:56:41	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final.stac-item
2020-02-01 11:56:41	ga_s2am_ard_3-2-1_50HLK_2020-02-01_final.stac-item
2020-02-01 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final.stac-item
2020-02-01 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final.stac-item
2020-02-01 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-01_final.stac-item
2020-02-01 11:57:01	ga_s2am_ard_3-2-1_50HLH_2020-02-01_final.stac-item
2020-02-02 09:41:16	ga_s2am_ard_3-2-1_56KMG_2020-02-02_final
2020-02-02 09:41:19	ga_s2am_ard_3-2-1_56KLG_2020-02-02_final
2020-02-02 09:41:22	ga_s2am_ard_3-2-1_56KKG_2020-02-02_final
2020-02-02 09:41:24	ga_s2am_ard_3-2-1_55KHB_2020-02-02_final
2020-02-02 09:41:30	ga_s2am_ard_3-2-1_56KMF_2020-02-02_final
2020-02-02 09:41:34	ga_s2am_ard_3-2-1_56KLF_2020-02-02_final.stac-item
2020-02-02 09:41:37	ga_s2am_ard_3-2-1_56KKF_2020-02-02_final.stac-item
2020-02-02 09:41:45	ga_s2am_ard_3-2-1_56KME_2020-02-02_final
2020-02-02 09:41:48	ga_s2am_ard_3-2-1_56KLE_2020-02-02_final.stac-item
2020-02-02 09:41:59	ga_s2am_ard_3-2-1_56KMD_2020-02-02_final
2020-02-02 09:42:03	ga_s2am_ard_3-2-1_56KLD_2020-02-02_final.stac-item
2020-02-02 09:42:32	ga_s2am_ard_3-2-1_56KLB_2020-02-02_final.stac-item
2020-02-02 09:42:35	ga_s2am_ard_3-2-1_56KKB_2020-02-02_final.stac-item
2020-02-02 09:42:42	ga_s2am_ard_3-2-1_56KMA_2020-02-02_final.stac-item
2020-02-02 09:42:46	ga_s2am_ard_3-2-1_56KLA_2020-02-02_final.stac-item
2020-02-02 09:42:49	ga_s2am_ard_3-2-1_56KKA_2020-02-02_final.stac-item
2020-02-02 09:43:00	ga_s2am_ard_3-2-1_56KLV_2020-02-02_final.stac-item
2020-02-02 09:43:04	ga_s2am_ard_3-2-1_56KKV_2020-02-02_final.stac-item
2020-02-02 09:43:15	ga_s2am_ard_3-2-1_56KLU_2020-02-02_final.stac-item
2020-02-02 09:43:19	ga_s2am_ard_3-2-1_56KKU_2020-02-02_final.stac-item
2020-02-02 09:43:30	ga_s2am_ard_3-2-1_56JLT_2020-02-02_final.stac-item
2020-02-02 09:43:33	ga_s2am_ard_3-2-1_56JKT_2020-02-02_final.stac-item
2020-02-02 09:43:40	ga_s2am_ard_3-2-1_55JFN_2020-02-02_final.stac-item
2020-02-02 09:43:44	ga_s2am_ard_3-2-1_56JLS_2020-02-02_final.stac-item
2020-02-02 09:43:48	ga_s2am_ard_3-2-1_56JKS_2020-02-02_final.stac-item
2020-02-02 09:43:55	ga_s2am_ard_3-2-1_55JFM_2020-02-02_final.stac-item
2020-02-02 09:43:58	ga_s2am_ard_3-2-1_56JLR_2020-02-02_final.stac-item
2020-02-02 09:44:02	ga_s2am_ard_3-2-1_56JKR_2020-02-02_final.stac-item
2020-02-02 09:44:06	ga_s2am_ard_3-2-1_55JGL_2020-02-02_final.stac-item
2020-02-02 09:44:09	ga_s2am_ard_3-2-1_56JLQ_2020-02-02_final.stac-item
2020-02-02 09:44:09	ga_s2am_ard_3-2-1_55JFL_2020-02-02_final.stac-item
2020-02-02 09:44:17	ga_s2am_ard_3-2-1_56JKQ_2020-02-02_final.stac-item
2020-02-02 09:44:20	ga_s2am_ard_3-2-1_55JGK_2020-02-02_final.stac-item
2020-02-02 09:44:24	ga_s2am_ard_3-2-1_55JFK_2020-02-02_final.stac-item
2020-02-02 09:44:28	ga_s2am_ard_3-2-1_55JEK_2020-02-02_final.stac-item
2020-02-02 09:44:31	ga_s2am_ard_3-2-1_56JKP_2020-02-02_final.stac-item
2020-02-02 09:44:35	ga_s2am_ard_3-2-1_55JGJ_2020-02-02_final.stac-item
2020-02-02 09:44:38	ga_s2am_ard_3-2-1_55JFJ_2020-02-02_final.stac-item
2020-02-02 09:44:41	ga_s2am_ard_3-2-1_55JEJ_2020-02-02_final.stac-item
2020-02-02 09:44:46	ga_s2am_ard_3-2-1_56JKN_2020-02-02_final.stac-item
2020-02-02 09:44:49	ga_s2am_ard_3-2-1_55JGH_2020-02-02_final.stac-item
2020-02-02 09:44:53	ga_s2am_ard_3-2-1_55JFH_2020-02-02_final.stac-item
2020-02-02 09:44:56	ga_s2am_ard_3-2-1_55JEH_2020-02-02_final.stac-item
2020-02-02 09:45:01	ga_s2am_ard_3-2-1_56JKM_2020-02-02_final.stac-item
2020-02-02 09:45:03	ga_s2am_ard_3-2-1_55JGG_2020-02-02_final.stac-item
2020-02-02 09:45:07	ga_s2am_ard_3-2-1_55JFG_2020-02-02_final.stac-item
2020-02-02 09:45:11	ga_s2am_ard_3-2-1_55JEG_2020-02-02_final.stac-item
2020-02-02 09:45:14	ga_s2am_ard_3-2-1_56JKL_2020-02-02_final.stac-item
2020-02-02 09:45:18	ga_s2am_ard_3-2-1_55JGF_2020-02-02_final.stac-item
2020-02-02 09:45:19	ga_s2am_ard_3-2-1_55JDG_2020-02-02_final.stac-item
2020-02-02 09:45:22	ga_s2am_ard_3-2-1_55JFF_2020-02-02_final.stac-item
2020-02-02 09:45:25	ga_s2am_ard_3-2-1_56HKK_2020-02-02_final.stac-item
2020-02-02 09:45:25	ga_s2am_ard_3-2-1_55JEF_2020-02-02_final.stac-item
2020-02-02 09:45:29	ga_s2am_ard_3-2-1_55JDF_2020-02-02_final.stac-item
2020-02-02 09:45:32	ga_s2am_ard_3-2-1_55HGE_2020-02-02_final.stac-item
2020-02-02 09:45:36	ga_s2am_ard_3-2-1_55HFE_2020-02-02_final.stac-item
2020-02-02 09:45:40	ga_s2am_ard_3-2-1_55HEE_2020-02-02_final.stac-item
2020-02-02 09:45:43	ga_s2am_ard_3-2-1_55HDE_2020-02-02_final.stac-item
2020-02-02 09:45:47	ga_s2am_ard_3-2-1_55HGD_2020-02-02_final.stac-item
2020-02-02 09:45:51	ga_s2am_ard_3-2-1_55HFD_2020-02-02_final.stac-item
2020-02-02 09:45:54	ga_s2am_ard_3-2-1_55HED_2020-02-02_final.stac-item
2020-02-02 09:45:58	ga_s2am_ard_3-2-1_55HDD_2020-02-02_final.stac-item
2020-02-02 09:45:59	ga_s2am_ard_3-2-1_55HGC_2020-02-02_final.stac-item
2020-02-02 09:46:05	ga_s2am_ard_3-2-1_55HFC_2020-02-02_final.stac-item
2020-02-02 09:46:09	ga_s2am_ard_3-2-1_55HEC_2020-02-02_final.stac-item
2020-02-02 09:46:10	ga_s2am_ard_3-2-1_55HGB_2020-02-02_final.stac-item
2020-02-02 09:46:12	ga_s2am_ard_3-2-1_55HDC_2020-02-02_final.stac-item
2020-02-02 09:46:19	ga_s2am_ard_3-2-1_55HFB_2020-02-02_final.stac-item
2020-02-02 09:46:20	ga_s2am_ard_3-2-1_55HCC_2020-02-02_final.stac-item
2020-02-02 09:46:23	ga_s2am_ard_3-2-1_55HEB_2020-02-02_final.stac-item
2020-02-02 09:46:27	ga_s2am_ard_3-2-1_55HDB_2020-02-02_final.stac-item
2020-02-02 09:46:31	ga_s2am_ard_3-2-1_55HCB_2020-02-02_final.stac-item
2020-02-02 09:46:34	ga_s2am_ard_3-2-1_55HFA_2020-02-02_final.stac-item
2020-02-02 09:46:38	ga_s2am_ard_3-2-1_55HEA_2020-02-02_final.stac-item
2020-02-02 09:46:41	ga_s2am_ard_3-2-1_55HDA_2020-02-02_final.stac-item
2020-02-02 09:46:44	ga_s2am_ard_3-2-1_55HCA_2020-02-02_final.stac-item
2020-02-02 09:46:48	ga_s2am_ard_3-2-1_55HFV_2020-02-02_final.stac-item
2020-02-02 09:46:52	ga_s2am_ard_3-2-1_55HEV_2020-02-02_final.stac-item
2020-02-02 09:46:56	ga_s2am_ard_3-2-1_55HDV_2020-02-02_final.stac-item
2020-02-02 09:46:59	ga_s2am_ard_3-2-1_55HCV_2020-02-02_final.stac-item
2020-02-02 09:47:07	ga_s2am_ard_3-2-1_55HEU_2020-02-02_final.stac-item
2020-02-02 09:47:10	ga_s2am_ard_3-2-1_55HDU_2020-02-02_final.stac-item
2020-02-02 09:47:14	ga_s2am_ard_3-2-1_55HCU_2020-02-02_final.stac-item
2020-02-02 09:47:21	ga_s2am_ard_3-2-1_55HET_2020-02-02_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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