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
2021-03-17 11:55:55	ga_s2am_ard_3-2-1_50JLN_2021-03-17_final.stac-item
2021-03-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-17_final.stac-item
2021-03-17 11:56:03	ga_s2am_ard_3-2-1_50JNM_2021-03-17_final.stac-item
2021-03-17 11:56:07	ga_s2am_ard_3-2-1_50JMM_2021-03-17_final.stac-item
2021-03-17 11:56:10	ga_s2am_ard_3-2-1_50JLM_2021-03-17_final.stac-item
2021-03-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-03-17_final.stac-item
2021-03-17 11:56:17	ga_s2am_ard_3-2-1_50JNL_2021-03-17_final.stac-item
2021-03-17 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-03-17_final.stac-item
2021-03-17 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-03-17_final.stac-item
2021-03-17 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-03-17_final.stac-item
2021-03-18 09:44:38	ga_s2am_ard_3-2-1_56JKP_2021-03-18_final.stac-item
2021-03-18 09:44:53	ga_s2am_ard_3-2-1_56JKN_2021-03-18_final.stac-item
2021-03-18 09:45:03	ga_s2am_ard_3-2-1_55JEH_2021-03-18_final.stac-item
2021-03-18 09:45:08	ga_s2am_ard_3-2-1_56JKM_2021-03-18_final.stac-item
2021-03-18 09:45:21	ga_s2am_ard_3-2-1_56JKL_2021-03-18_final.stac-item
2021-03-18 09:45:25	ga_s2am_ard_3-2-1_55JDG_2021-03-18_final.stac-item
2021-03-18 09:45:32	ga_s2am_ard_3-2-1_56HKK_2021-03-18_final.stac-item
2021-03-18 09:45:32	ga_s2am_ard_3-2-1_55JEF_2021-03-18_final.stac-item
2021-03-18 09:45:36	ga_s2am_ard_3-2-1_55JDF_2021-03-18_final.stac-item
2021-03-18 09:45:39	ga_s2am_ard_3-2-1_55HGE_2021-03-18_final.stac-item
2021-03-18 09:45:43	ga_s2am_ard_3-2-1_55HFE_2021-03-18_final.stac-item
2021-03-18 09:45:47	ga_s2am_ard_3-2-1_55HEE_2021-03-18_final.stac-item
2021-03-18 09:45:50	ga_s2am_ard_3-2-1_55HDE_2021-03-18_final.stac-item
2021-03-18 09:45:54	ga_s2am_ard_3-2-1_55HGD_2021-03-18_final.stac-item
2021-03-18 09:45:58	ga_s2am_ard_3-2-1_55HFD_2021-03-18_final.stac-item
2021-03-18 09:46:01	ga_s2am_ard_3-2-1_55HED_2021-03-18_final.stac-item
2021-03-18 09:46:05	ga_s2am_ard_3-2-1_55HDD_2021-03-18_final.stac-item
2021-03-18 09:46:06	ga_s2am_ard_3-2-1_55HGC_2021-03-18_final.stac-item
2021-03-18 09:46:12	ga_s2am_ard_3-2-1_55HFC_2021-03-18_final.stac-item
2021-03-18 09:46:16	ga_s2am_ard_3-2-1_55HEC_2021-03-18_final.stac-item
2021-03-18 09:46:16	ga_s2am_ard_3-2-1_55HGB_2021-03-18_final.stac-item
2021-03-18 09:46:19	ga_s2am_ard_3-2-1_55HDC_2021-03-18_final.stac-item
2021-03-18 09:46:26	ga_s2am_ard_3-2-1_55HFB_2021-03-18_final.stac-item
2021-03-18 09:46:27	ga_s2am_ard_3-2-1_55HCC_2021-03-18_final.stac-item
2021-03-18 09:46:30	ga_s2am_ard_3-2-1_55HEB_2021-03-18_final.stac-item
2021-03-18 09:46:34	ga_s2am_ard_3-2-1_55HDB_2021-03-18_final.stac-item
2021-03-18 09:46:38	ga_s2am_ard_3-2-1_55HCB_2021-03-18_final.stac-item
2021-03-18 09:46:41	ga_s2am_ard_3-2-1_55HFA_2021-03-18_final.stac-item
2021-03-18 09:46:45	ga_s2am_ard_3-2-1_55HEA_2021-03-18_final.stac-item
2021-03-18 09:46:48	ga_s2am_ard_3-2-1_55HDA_2021-03-18_final.stac-item
2021-03-18 09:46:51	ga_s2am_ard_3-2-1_55HCA_2021-03-18_final.stac-item
2021-03-18 09:46:55	ga_s2am_ard_3-2-1_55HFV_2021-03-18_final.stac-item
2021-03-18 09:46:59	ga_s2am_ard_3-2-1_55HEV_2021-03-18_final.stac-item
2021-03-18 09:47:03	ga_s2am_ard_3-2-1_55HDV_2021-03-18_final.stac-item
2021-03-18 09:47:06	ga_s2am_ard_3-2-1_55HCV_2021-03-18_final.stac-item
2021-03-18 09:47:14	ga_s2am_ard_3-2-1_55HEU_2021-03-18_final.stac-item
2021-03-18 09:47:17	ga_s2am_ard_3-2-1_55HDU_2021-03-18_final.stac-item
2021-03-18 11:23:49	ga_s2am_ard_3-2-1_52KBV_2021-03-18_final.stac-item
2021-03-18 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2021-03-18_final.stac-item
2021-03-18 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2021-03-18_final.stac-item
2021-03-18 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2021-03-18_final.stac-item
2021-03-18 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2021-03-18_final.stac-item
2021-03-18 11:24:03	ga_s2am_ard_3-2-1_51KZP_2021-03-18_final.stac-item
2021-03-18 11:24:03	ga_s2am_ard_3-2-1_52KBU_2021-03-18_final.stac-item
2021-03-18 11:24:07	ga_s2am_ard_3-2-1_51KYP_2021-03-18_final.stac-item
2021-03-18 11:24:11	ga_s2am_ard_3-2-1_51KXP_2021-03-18_final.stac-item
2021-03-18 11:24:14	ga_s2am_ard_3-2-1_51KWP_2021-03-18_final.stac-item
2021-03-18 11:24:18	ga_s2am_ard_3-2-1_52JBT_2021-03-18_final.stac-item
2021-03-18 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-03-18_final.stac-item
2021-03-18 11:24:22	ga_s2am_ard_3-2-1_51JYN_2021-03-18_final.stac-item
2021-03-18 11:24:25	ga_s2am_ard_3-2-1_51JXN_2021-03-18_final.stac-item
2021-03-18 11:24:29	ga_s2am_ard_3-2-1_51JWN_2021-03-18_final.stac-item
2021-03-18 11:24:31	ga_s2am_ard_3-2-1_51JZM_2021-03-18_final.stac-item
2021-03-18 11:24:31	ga_s2am_ard_3-2-1_52JBS_2021-03-18_final.stac-item
2021-03-18 11:24:36	ga_s2am_ard_3-2-1_51JYM_2021-03-18_final.stac-item
2021-03-18 11:24:40	ga_s2am_ard_3-2-1_51JXM_2021-03-18_final.stac-item
2021-03-18 11:24:43	ga_s2am_ard_3-2-1_52JBR_2021-03-18_final.stac-item
2021-03-18 11:24:43	ga_s2am_ard_3-2-1_51JWM_2021-03-18_final.stac-item
2021-03-18 11:24:50	ga_s2am_ard_3-2-1_51JYL_2021-03-18_final.stac-item
2021-03-18 11:24:54	ga_s2am_ard_3-2-1_51JXL_2021-03-18_final.stac-item
2021-03-18 11:24:58	ga_s2am_ard_3-2-1_51JWL_2021-03-18_final.stac-item
2021-03-18 11:25:03	ga_s2am_ard_3-2-1_51JVL_2021-03-18_final.stac-item
2021-03-18 11:25:05	ga_s2am_ard_3-2-1_51JYK_2021-03-18_final.stac-item
2021-03-18 11:25:09	ga_s2am_ard_3-2-1_51JXK_2021-03-18_final.stac-item
2021-03-18 11:25:12	ga_s2am_ard_3-2-1_51JWK_2021-03-18_final.stac-item
2021-03-18 11:25:15	ga_s2am_ard_3-2-1_51JVK_2021-03-18_final.stac-item
2021-03-18 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2021-03-18_final.stac-item
2021-03-18 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2021-03-18_final.stac-item
2021-03-18 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2021-03-18_final.stac-item
2021-03-18 11:25:30	ga_s2am_ard_3-2-1_51JVJ_2021-03-18_final.stac-item
2021-03-18 11:25:33	ga_s2am_ard_3-2-1_51JYH_2021-03-18_final.stac-item
2021-03-18 11:25:38	ga_s2am_ard_3-2-1_51JXH_2021-03-18_final.stac-item
2021-03-18 11:25:41	ga_s2am_ard_3-2-1_51JWH_2021-03-18_final.stac-item
2021-03-18 11:25:44	ga_s2am_ard_3-2-1_51JYG_2021-03-18_final.stac-item
2021-03-18 11:25:45	ga_s2am_ard_3-2-1_51JVH_2021-03-18_final.stac-item
2021-03-18 11:25:52	ga_s2am_ard_3-2-1_51JXG_2021-03-18_final.stac-item
2021-03-18 11:25:56	ga_s2am_ard_3-2-1_51JWG_2021-03-18_final.stac-item
2021-03-18 11:25:59	ga_s2am_ard_3-2-1_51JVG_2021-03-18_final.stac-item
2021-03-18 11:26:04	ga_s2am_ard_3-2-1_51JUG_2021-03-18_final.stac-item
2021-03-18 11:26:06	ga_s2am_ard_3-2-1_51JXF_2021-03-18_final.stac-item
2021-03-18 11:26:10	ga_s2am_ard_3-2-1_51JWF_2021-03-18_final.stac-item
2021-03-18 11:26:14	ga_s2am_ard_3-2-1_51JVF_2021-03-18_final.stac-item
2021-03-18 11:26:17	ga_s2am_ard_3-2-1_51JUF_2021-03-18_final.stac-item
2021-03-18 11:26:21	ga_s2am_ard_3-2-1_51HXE_2021-03-18_final.stac-item
2021-03-18 11:26:25	ga_s2am_ard_3-2-1_51HWE_2021-03-18_final.stac-item
2021-03-18 11:26:28	ga_s2am_ard_3-2-1_51HVE_2021-03-18_final.stac-item
2021-03-18 11:26:31	ga_s2am_ard_3-2-1_51HUE_2021-03-18_final.stac-item
2021-03-18 11:26:35	ga_s2am_ard_3-2-1_51HXD_2021-03-18_final.stac-item
2021-03-18 11:26:39	ga_s2am_ard_3-2-1_51HWD_2021-03-18_final.stac-item
2021-03-18 11:26:43	ga_s2am_ard_3-2-1_51HVD_2021-03-18_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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