Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-09-03 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-09-03_final.stac-item
2023-09-03 11:56:05	ga_s2am_ard_3-2-1_50JKN_2023-09-03_final.stac-item
2023-09-03 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-09-03_final.stac-item
2023-09-03 11:56:13	ga_s2am_ard_3-2-1_50JMM_2023-09-03_final.stac-item
2023-09-03 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-09-03_final.stac-item
2023-09-03 11:56:23	ga_s2am_ard_3-2-1_50JNL_2023-09-03_final.stac-item
2023-09-03 11:56:27	ga_s2am_ard_3-2-1_50JML_2023-09-03_final.stac-item
2023-09-03 11:56:38	ga_s2am_ard_3-2-1_49JGF_2023-09-03_nrt.stac-item
2023-09-04 09:39:40	ga_s2am_ard_3-2-1_56LPP_2023-09-04_nrt.stac-item
2023-09-04 09:39:44	ga_s2am_ard_3-2-1_56LNP_2023-09-04_nrt.stac-item
2023-09-04 09:39:47	ga_s2am_ard_3-2-1_56LMP_2023-09-04_nrt.stac-item
2023-09-04 09:39:54	ga_s2am_ard_3-2-1_56LLP_2023-09-04_nrt.stac-item
2023-09-04 09:39:55	ga_s2am_ard_3-2-1_56LPN_2023-09-04_nrt.stac-item
2023-09-04 09:39:58	ga_s2am_ard_3-2-1_56LNN_2023-09-04_nrt.stac-item
2023-09-04 09:40:02	ga_s2am_ard_3-2-1_56LMN_2023-09-04_nrt.stac-item
2023-09-04 09:41:26	ga_s2am_ard_3-2-1_56KNG_2023-09-04_nrt.stac-item
2023-09-04 09:41:29	ga_s2am_ard_3-2-1_56KMG_2023-09-04_final.stac-item
2023-09-04 09:41:32	ga_s2am_ard_3-2-1_56KLG_2023-09-04_final.stac-item
2023-09-04 09:42:01	ga_s2am_ard_3-2-1_56KLE_2023-09-04_final.stac-item
2023-09-04 09:42:20	ga_s2am_ard_3-2-1_55KHU_2023-09-04_nrt.stac-item
2023-09-04 09:42:33	ga_s2am_ard_3-2-1_56KKC_2023-09-04_nrt.stac-item
2023-09-04 09:42:34	ga_s2am_ard_3-2-1_55KHT_2023-09-04_nrt.stac-item
2023-09-04 09:42:38	ga_s2am_ard_3-2-1_55KGT_2023-09-04_final.stac-item
2023-09-04 09:42:48	ga_s2am_ard_3-2-1_56KKB_2023-09-04_final.stac-item
2023-09-04 09:42:48	ga_s2am_ard_3-2-1_55KHS_2023-09-04_final.stac-item
2023-09-04 09:43:03	ga_s2am_ard_3-2-1_56KKA_2023-09-04_final.stac-item
2023-09-04 09:43:03	ga_s2am_ard_3-2-1_55KHR_2023-09-04_final.stac-item
2023-09-04 09:43:17	ga_s2am_ard_3-2-1_55KHQ_2023-09-04_final.stac-item
2023-09-04 09:43:32	ga_s2am_ard_3-2-1_55KHP_2023-09-04_final.stac-item
2023-09-04 09:43:43	ga_s2am_ard_3-2-1_56JLT_2023-09-04_final.stac-item
2023-09-04 09:43:46	ga_s2am_ard_3-2-1_55JHN_2023-09-04_final.stac-item
2023-09-04 09:44:01	ga_s2am_ard_3-2-1_55JHM_2023-09-04_final.stac-item
2023-09-04 09:44:11	ga_s2am_ard_3-2-1_56JLR_2023-09-04_final.stac-item
2023-09-04 09:44:15	ga_s2am_ard_3-2-1_56JKR_2023-09-04_final.stac-item
2023-09-04 09:44:19	ga_s2am_ard_3-2-1_55JGL_2023-09-04_final.stac-item
2023-09-04 09:44:23	ga_s2am_ard_3-2-1_55JFL_2023-09-04_final.stac-item
2023-09-04 09:44:30	ga_s2am_ard_3-2-1_55JEL_2023-09-04_final.stac-item
2023-09-04 09:44:41	ga_s2am_ard_3-2-1_55JEK_2023-09-04_final.stac-item
2023-09-04 09:44:55	ga_s2am_ard_3-2-1_55JEJ_2023-09-04_final.stac-item
2023-09-04 09:45:06	ga_s2am_ard_3-2-1_55JFH_2023-09-04_final.stac-item
2023-09-04 09:45:14	ga_s2am_ard_3-2-1_56JKM_2023-09-04_final.stac-item
2023-09-04 09:45:16	ga_s2am_ard_3-2-1_55JGG_2023-09-04_final.stac-item
2023-09-04 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-09-04_final.stac-item
2023-09-04 09:45:31	ga_s2am_ard_3-2-1_55JGF_2023-09-04_final.stac-item
2023-09-04 09:45:31	ga_s2am_ard_3-2-1_55JDG_2023-09-04_final.stac-item
2023-09-04 09:45:38	ga_s2am_ard_3-2-1_55JEF_2023-09-04_final.stac-item
2023-09-04 09:45:42	ga_s2am_ard_3-2-1_55JDF_2023-09-04_final.stac-item
2023-09-04 09:46:50	ga_s2am_ard_3-2-1_55HDA_2023-09-04_final.stac-item
2023-09-04 09:46:53	ga_s2am_ard_3-2-1_55HFV_2023-09-04_final.stac-item
2023-09-04 09:46:55	ga_s2am_ard_3-2-1_55HEA_2023-09-04_final.stac-item
2023-09-04 09:46:57	ga_s2am_ard_3-2-1_55HDA_2023-09-04_final.stac-item
2023-09-04 09:46:59	ga_s2am_ard_3-2-1_55HCA_2023-09-04_final.stac-item
2023-09-04 09:47:20	ga_s2am_ard_3-2-1_55HEU_2023-09-04_final.stac-item
2023-09-04 09:47:23	ga_s2am_ard_3-2-1_55HDU_2023-09-04_final.stac-item
2023-09-04 09:47:49	ga_s2am_ard_3-2-1_55HES_2023-09-04_final.stac-item
2023-09-04 09:47:52	ga_s2am_ard_3-2-1_55HDS_2023-09-04_final.stac-item
2023-09-04 09:47:56	ga_s2am_ard_3-2-1_55HCS_2023-09-04_final.stac-item
2023-09-04 09:47:59	ga_s2am_ard_3-2-1_55HBS_2023-09-04_final.stac-item
2023-09-04 09:48:00	ga_s2am_ard_3-2-1_54HYB_2023-09-04_final.stac-item
2023-09-04 09:48:27	ga_s2am_ard_3-2-1_55GEP_2023-09-04_final.stac-item
2023-09-04 09:48:36	ga_s2am_ard_3-2-1_55GDP_2023-09-04_final.stac-item
2023-09-04 09:48:40	ga_s2am_ard_3-2-1_55GCP_2023-09-04_final.stac-item
2023-09-04 09:48:43	ga_s2am_ard_3-2-1_54GYU_2023-09-04_nrt.stac-item
2023-09-04 09:48:43	ga_s2am_ard_3-2-1_55GBP_2023-09-04_nrt.stac-item
2023-09-04 09:48:48	ga_s2am_ard_3-2-1_54GXU_2023-09-04_nrt.stac-item
2023-09-04 11:20:21	ga_s2am_ard_3-2-1_52LEP_2023-09-04_nrt.stac-item
2023-09-04 11:20:25	ga_s2am_ard_3-2-1_52LDP_2023-09-04_nrt.stac-item
2023-09-04 11:20:28	ga_s2am_ard_3-2-1_52LCP_2023-09-04_nrt.stac-item
2023-09-04 11:20:31	ga_s2am_ard_3-2-1_52LBP_2023-09-04_nrt.stac-item
2023-09-04 11:20:36	ga_s2am_ard_3-2-1_52LEN_2023-09-04_nrt.stac-item
2023-09-04 11:20:43	ga_s2am_ard_3-2-1_52LCN_2023-09-04_nrt.stac-item
2023-09-04 11:21:12	ga_s2am_ard_3-2-1_52LCL_2023-09-04_nrt.stac-item
2023-09-04 11:22:06	ga_s2am_ard_3-2-1_52KDG_2023-09-04_final.stac-item
2023-09-04 11:22:39	ga_s2am_ard_3-2-1_52KCE_2023-09-04_final.stac-item
2023-09-04 11:23:11	ga_s2am_ard_3-2-1_52KBC_2023-09-04_final.stac-item
2023-09-04 11:23:12	ga_s2am_ard_3-2-1_51KZT_2023-09-04_final.stac-item
2023-09-04 11:23:15	ga_s2am_ard_3-2-1_51KYT_2023-09-04_final.stac-item
2023-09-04 11:23:26	ga_s2am_ard_3-2-1_52KBB_2023-09-04_final.stac-item
2023-09-04 11:23:26	ga_s2am_ard_3-2-1_51KZS_2023-09-04_final.stac-item
2023-09-04 11:23:32	ga_s2am_ard_3-2-1_52KCA_2023-09-04_final.stac-item
2023-09-04 11:23:41	ga_s2am_ard_3-2-1_51KZR_2023-09-04_final.stac-item
2023-09-04 11:23:55	ga_s2am_ard_3-2-1_51KZQ_2023-09-04_final.stac-item
2023-09-04 11:24:09	ga_s2am_ard_3-2-1_51KZP_2023-09-04_final.stac-item
2023-09-04 11:24:24	ga_s2am_ard_3-2-1_51JZN_2023-09-04_final.stac-item
2023-09-04 11:24:37	ga_s2am_ard_3-2-1_51JZM_2023-09-04_final.stac-item
2023-09-04 11:24:49	ga_s2am_ard_3-2-1_52JBR_2023-09-04_final.stac-item
2023-09-04 11:24:56	ga_s2am_ard_3-2-1_51JYL_2023-09-04_final.stac-item
2023-09-04 11:25:00	ga_s2am_ard_3-2-1_51JXL_2023-09-04_final.stac-item
2023-09-04 11:25:04	ga_s2am_ard_3-2-1_51JWL_2023-09-04_final.stac-item
2023-09-04 11:25:09	ga_s2am_ard_3-2-1_51JVL_2023-09-04_final.stac-item
2023-09-04 11:25:18	ga_s2am_ard_3-2-1_51JWK_2023-09-04_final.stac-item
2023-09-04 11:25:22	ga_s2am_ard_3-2-1_51JVK_2023-09-04_final.stac-item
2023-09-04 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2023-09-04_final.stac-item
2023-09-04 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2023-09-04_final.stac-item
2023-09-04 11:25:44	ga_s2am_ard_3-2-1_51JXH_2023-09-04_final.stac-item
2023-09-04 11:25:50	ga_s2am_ard_3-2-1_51JYG_2023-09-04_final.stac-item
2023-09-04 11:26:02	ga_s2am_ard_3-2-1_51JWG_2023-09-04_final.stac-item
2023-09-04 11:26:10	ga_s2am_ard_3-2-1_51JUG_2023-09-04_final.stac-item
2023-09-04 11:26:16	ga_s2am_ard_3-2-1_51JWF_2023-09-04_final.stac-item
2023-09-04 11:26:20	ga_s2am_ard_3-2-1_51JVF_2023-09-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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