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:

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First 100 results (query limit)

Time (local)	Label
2023-05-27 09:45:08	ga_s2am_ard_3-2-1_55JEH_2023-05-27_final.stac-item
2023-05-27 09:45:30	ga_s2am_ard_3-2-1_55JDG_2023-05-27_final.stac-item
2023-05-27 09:45:44	ga_s2am_ard_3-2-1_55HGE_2023-05-27_final.stac-item
2023-05-27 09:45:47	ga_s2am_ard_3-2-1_55HFE_2023-05-27_final.stac-item
2023-05-27 09:45:51	ga_s2am_ard_3-2-1_55HEE_2023-05-27_final.stac-item
2023-05-27 09:46:02	ga_s2am_ard_3-2-1_55HFD_2023-05-27_final.stac-item
2023-05-27 09:46:24	ga_s2am_ard_3-2-1_55HDC_2023-05-27_final.stac-item
2023-05-27 09:46:35	ga_s2am_ard_3-2-1_55HEB_2023-05-27_final.stac-item
2023-05-27 09:46:38	ga_s2am_ard_3-2-1_55HDB_2023-05-27_final.stac-item
2023-05-27 09:46:42	ga_s2am_ard_3-2-1_55HCB_2023-05-27_final.stac-item
2023-05-27 09:46:45	ga_s2am_ard_3-2-1_55HFA_2023-05-27_final.stac-item
2023-05-27 09:46:49	ga_s2am_ard_3-2-1_55HEA_2023-05-27_final.stac-item
2023-05-27 09:46:56	ga_s2am_ard_3-2-1_55HCA_2023-05-27_final.stac-item
2023-05-27 09:47:00	ga_s2am_ard_3-2-1_55HFV_2023-05-27_final.stac-item
2023-05-27 09:47:04	ga_s2am_ard_3-2-1_55HEV_2023-05-27_final.stac-item
2023-05-27 09:47:12	ga_s2am_ard_3-2-1_55HFU_2023-05-27_final.stac-item
2023-05-27 09:47:25	ga_s2am_ard_3-2-1_55HCU_2023-05-27_final.stac-item
2023-05-27 09:47:36	ga_s2am_ard_3-2-1_55HDT_2023-05-27_final.stac-item
2023-05-27 09:47:40	ga_s2am_ard_3-2-1_55HCT_2023-05-27_final.stac-item
2023-05-27 09:47:47	ga_s2am_ard_3-2-1_55HES_2023-05-27_final.stac-item
2023-05-27 09:47:51	ga_s2am_ard_3-2-1_55HDS_2023-05-27_final.stac-item
2023-05-27 09:47:58	ga_s2am_ard_3-2-1_54HYB_2023-05-27_final.stac-item
2023-05-27 09:48:05	ga_s2am_ard_3-2-1_55GDR_2023-05-27_final.stac-item
2023-05-27 09:48:12	ga_s2am_ard_3-2-1_54GYA_2023-05-27_final.stac-item
2023-05-27 09:48:14	ga_s2am_ard_3-2-1_55GEQ_2023-05-27_final.stac-item
2023-05-27 09:48:17	ga_s2am_ard_3-2-1_55GDQ_2023-05-27_final.stac-item
2023-05-27 09:48:20	ga_s2am_ard_3-2-1_54GYA_2023-05-27_final.stac-item
2023-05-27 09:48:21	ga_s2am_ard_3-2-1_55GEQ_2023-05-27_final.stac-item
2023-05-27 09:48:23	ga_s2am_ard_3-2-1_55GDQ_2023-05-27_final.stac-item
2023-05-27 09:48:25	ga_s2am_ard_3-2-1_55GEP_2023-05-27_final.stac-item
2023-05-27 09:48:38	ga_s2am_ard_3-2-1_55GCP_2023-05-27_final.stac-item
2023-05-27 09:49:00	ga_s2am_ard_3-2-1_55GDM_2023-05-27_final.stac-item
2023-05-27 09:49:02	ga_s2am_ard_3-2-1_55GCM_2023-05-27_final.stac-item
2023-05-27 11:21:01	ga_s2am_ard_3-2-1_52LEL_2023-05-27_final.stac-item
2023-05-27 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2023-05-27_final.stac-item
2023-05-27 11:21:39	ga_s2am_ard_3-2-1_52LCJ_2023-05-27_final.stac-item
2023-05-27 11:21:42	ga_s2am_ard_3-2-1_52LBJ_2023-05-27_final.stac-item
2023-05-27 11:21:43	ga_s2am_ard_3-2-1_51LZD_2023-05-27_final.stac-item
2023-05-27 11:21:54	ga_s2am_ard_3-2-1_52LCH_2023-05-27_final.stac-item
2023-05-27 11:21:57	ga_s2am_ard_3-2-1_52LBH_2023-05-27_final.stac-item
2023-05-27 11:22:02	ga_s2am_ard_3-2-1_51LYC_2023-05-27_final.stac-item
2023-05-27 11:22:15	ga_s2am_ard_3-2-1_52KDF_2023-05-27_final.stac-item
2023-05-27 11:22:26	ga_s2am_ard_3-2-1_52KBF_2023-05-27_final.stac-item
2023-05-27 11:22:37	ga_s2am_ard_3-2-1_52KCE_2023-05-27_final.stac-item
2023-05-27 11:22:40	ga_s2am_ard_3-2-1_52KBE_2023-05-27_final.stac-item
2023-05-27 11:22:45	ga_s2am_ard_3-2-1_51KYV_2023-05-27_final.stac-item
2023-05-27 11:22:52	ga_s2am_ard_3-2-1_52KCD_2023-05-27_final.stac-item
2023-05-27 11:22:55	ga_s2am_ard_3-2-1_52KBD_2023-05-27_final.stac-item
2023-05-27 11:22:56	ga_s2am_ard_3-2-1_51KZU_2023-05-27_final.stac-item
2023-05-27 11:22:59	ga_s2am_ard_3-2-1_51KYU_2023-05-27_final.stac-item
2023-05-27 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-05-27_final.stac-item
2023-05-27 11:23:10	ga_s2am_ard_3-2-1_51KZT_2023-05-27_final.stac-item
2023-05-27 11:23:38	ga_s2am_ard_3-2-1_52KBA_2023-05-27_final.stac-item
2023-05-27 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-05-27_final.stac-item
2023-05-27 11:23:46	ga_s2am_ard_3-2-1_51KXR_2023-05-27_final.stac-item
2023-05-27 11:23:53	ga_s2am_ard_3-2-1_52KBV_2023-05-27_final.stac-item
2023-05-27 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2023-05-27_final.stac-item
2023-05-27 11:23:57	ga_s2am_ard_3-2-1_51KYQ_2023-05-27_final.stac-item
2023-05-27 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-05-27_final.stac-item
2023-05-27 11:24:08	ga_s2am_ard_3-2-1_51KZP_2023-05-27_final.stac-item
2023-05-27 11:24:12	ga_s2am_ard_3-2-1_51KYP_2023-05-27_final.stac-item
2023-05-27 11:24:22	ga_s2am_ard_3-2-1_52JBT_2023-05-27_final.stac-item
2023-05-27 11:24:26	ga_s2am_ard_3-2-1_51JYN_2023-05-27_final.stac-item
2023-05-27 11:24:44	ga_s2am_ard_3-2-1_51JXM_2023-05-27_final.stac-item
2023-05-27 11:24:59	ga_s2am_ard_3-2-1_51JXL_2023-05-27_final.stac-item
2023-05-27 11:25:02	ga_s2am_ard_3-2-1_51JWL_2023-05-27_final.stac-item
2023-05-27 11:25:09	ga_s2am_ard_3-2-1_51JYK_2023-05-27_final.stac-item
2023-05-27 11:25:13	ga_s2am_ard_3-2-1_51JXK_2023-05-27_final.stac-item
2023-05-27 11:25:17	ga_s2am_ard_3-2-1_51JWK_2023-05-27_final.stac-item
2023-05-27 11:25:20	ga_s2am_ard_3-2-1_51JVK_2023-05-27_final.stac-item
2023-05-27 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2023-05-27_final.stac-item
2023-05-27 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2023-05-27_final.stac-item
2023-05-27 11:25:56	ga_s2am_ard_3-2-1_51JXG_2023-05-27_final.stac-item
2023-05-27 11:25:59	ga_s2am_ard_3-2-1_51JWG_2023-05-27_final.stac-item
2023-05-27 11:26:04	ga_s2am_ard_3-2-1_51JXF_2023-05-27_final.stac-item
2023-05-27 11:26:06	ga_s2am_ard_3-2-1_51JWG_2023-05-27_final.stac-item
2023-05-27 11:26:06	ga_s2am_ard_3-2-1_51JWF_2023-05-27_final.stac-item
2023-05-27 11:26:11	ga_s2am_ard_3-2-1_51JXF_2023-05-27_final.stac-item
2023-05-27 11:26:15	ga_s2am_ard_3-2-1_51JWF_2023-05-27_final.stac-item
2023-05-27 11:26:26	ga_s2am_ard_3-2-1_51HXE_2023-05-27_final.stac-item
2023-05-27 11:26:29	ga_s2am_ard_3-2-1_51HWE_2023-05-27_final.stac-item
2023-05-27 11:26:39	ga_s2am_ard_3-2-1_51HXD_2023-05-27_final.stac-item
2023-05-27 11:26:44	ga_s2am_ard_3-2-1_51HWD_2023-05-27_final.stac-item
2023-05-27 11:26:51	ga_s2am_ard_3-2-1_51HUD_2023-05-27_final.stac-item
2023-05-27 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-05-27_final.stac-item
2023-05-27 11:27:11	ga_s2am_ard_3-2-1_51HTC_2023-05-27_final.stac-item
2023-05-27 11:27:11	ga_s2am_ard_3-2-1_51HWB_2023-05-27_final.stac-item
2023-05-27 11:27:13	ga_s2am_ard_3-2-1_51HVB_2023-05-27_final.stac-item
2023-06-06 11:20:20	ga_s2am_ard_3-2-1_52LEP_2023-06-06_nrt.stac-item
2023-06-06 11:20:23	ga_s2am_ard_3-2-1_52LDP_2023-06-06_nrt.stac-item
2023-06-06 11:20:34	ga_s2am_ard_3-2-1_52LEN_2023-06-06_nrt.stac-item
2023-06-06 11:20:38	ga_s2am_ard_3-2-1_52LDN_2023-06-06_nrt.stac-item
2023-06-06 11:20:44	ga_s2am_ard_3-2-1_52LBN_2023-06-06_nrt.stac-item
2023-06-06 11:20:48	ga_s2am_ard_3-2-1_52LEM_2023-06-06_nrt.stac-item
2023-06-06 11:20:52	ga_s2am_ard_3-2-1_52LDM_2023-06-06_nrt.stac-item
2023-06-06 11:21:07	ga_s2am_ard_3-2-1_52LDL_2023-06-06_nrt.stac-item
2023-06-06 11:21:21	ga_s2am_ard_3-2-1_52LDK_2023-06-06_nrt.stac-item
2023-06-07 10:50:13	ga_s2am_ard_3-2-1_53LNJ_2023-06-07_nrt.stac-item
2023-06-07 10:50:16	ga_s2am_ard_3-2-1_53LMJ_2023-06-07_nrt.stac-item
2023-06-07 10:56:24	ga_s2am_ard_3-2-1_52HGJ_2023-06-07_nrt.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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