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
2023-04-19 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-04-19_final.stac-item
2023-04-19 12:04:52	ga_s2am_ard_3-2-1_50JLS_2023-04-19_final.stac-item
2023-04-19 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-04-19_final.stac-item
2023-04-20 09:49:44	ga_s2am_ard_3-2-1_55LHJ_2023-04-20_nrt.stac-item
2023-04-20 09:50:58	ga_s2am_ard_3-2-1_56LLJ_2023-04-20_nrt.stac-item
2023-04-20 09:51:00	ga_s2am_ard_3-2-1_56LKJ_2023-04-20_nrt.stac-item
2023-04-20 09:51:00	ga_s2am_ard_3-2-1_55LHD_2023-04-20_nrt.stac-item
2023-04-20 09:51:02	ga_s2am_ard_3-2-1_55LGD_2023-04-20_nrt.stac-item
2023-04-20 09:51:04	ga_s2am_ard_3-2-1_55LFD_2023-04-20_nrt.stac-item
2023-04-20 09:51:17	ga_s2am_ard_3-2-1_55LFC_2023-04-20_final.stac-item
2023-04-20 09:51:25	ga_s2am_ard_3-2-1_55KHB_2023-04-20_final.stac-item
2023-04-20 09:51:28	ga_s2am_ard_3-2-1_55KGB_2023-04-20_final.stac-item
2023-04-20 09:51:32	ga_s2am_ard_3-2-1_55KFB_2023-04-20_final.stac-item
2023-04-20 09:51:38	ga_s2am_ard_3-2-1_56KKF_2023-04-20_final.stac-item
2023-04-20 09:51:39	ga_s2am_ard_3-2-1_55KHA_2023-04-20_final.stac-item
2023-04-20 09:51:43	ga_s2am_ard_3-2-1_55KGA_2023-04-20_final.stac-item
2023-04-20 09:51:51	ga_s2am_ard_3-2-1_55KEA_2023-04-20_final.stac-item
2023-04-20 09:51:53	ga_s2am_ard_3-2-1_56KKE_2023-04-20_nrt.stac-item
2023-04-20 09:51:54	ga_s2am_ard_3-2-1_55KHV_2023-04-20_nrt.stac-item
2023-04-20 09:51:57	ga_s2am_ard_3-2-1_55KGV_2023-04-20_nrt.stac-item
2023-04-20 09:52:01	ga_s2am_ard_3-2-1_55KFV_2023-04-20_nrt.stac-item
2023-04-20 09:52:04	ga_s2am_ard_3-2-1_55KEV_2023-04-20_final.stac-item
2023-04-20 09:52:08	ga_s2am_ard_3-2-1_55KHU_2023-04-20_final.stac-item
2023-04-20 09:52:15	ga_s2am_ard_3-2-1_55KFU_2023-04-20_final.stac-item
2023-04-20 09:52:22	ga_s2am_ard_3-2-1_55KHT_2023-04-20_final.stac-item
2023-04-20 09:52:30	ga_s2am_ard_3-2-1_55KFT_2023-04-20_final.stac-item
2023-04-20 09:52:33	ga_s2am_ard_3-2-1_55KHS_2023-04-20_final.stac-item
2023-04-20 09:52:44	ga_s2am_ard_3-2-1_55KFS_2023-04-20_final.stac-item
2023-04-20 09:52:48	ga_s2am_ard_3-2-1_55KES_2023-04-20_final.stac-item
2023-04-20 09:52:54	ga_s2am_ard_3-2-1_55KDS_2023-04-20_final.stac-item
2023-04-20 09:53:06	ga_s2am_ard_3-2-1_55KDR_2023-04-20_final.stac-item
2023-04-20 09:53:10	ga_s2am_ard_3-2-1_55KGQ_2023-04-20_final.stac-item
2023-04-20 09:53:24	ga_s2am_ard_3-2-1_55KGP_2023-04-20_final.stac-item
2023-04-20 09:53:36	ga_s2am_ard_3-2-1_55JGN_2023-04-20_final.stac-item
2023-04-20 09:53:42	ga_s2am_ard_3-2-1_55JFN_2023-04-20_final.stac-item
2023-04-20 09:53:46	ga_s2am_ard_3-2-1_55JEN_2023-04-20_final.stac-item
2023-04-20 09:53:49	ga_s2am_ard_3-2-1_55JDN_2023-04-20_final.stac-item
2023-04-20 09:53:56	ga_s2am_ard_3-2-1_55JCN_2023-04-20_final.stac-item
2023-04-20 09:53:57	ga_s2am_ard_3-2-1_55JFM_2023-04-20_final.stac-item
2023-04-20 09:54:18	ga_s2am_ard_3-2-1_55JDL_2023-04-20_final.stac-item
2023-04-20 09:56:00	ga_s2am_ard_3-2-1_55HDD_2023-04-20_final.stac-item
2023-04-20 09:56:08	ga_s2am_ard_3-2-1_54HYJ_2023-04-20_final.stac-item
2023-04-20 09:56:14	ga_s2am_ard_3-2-1_55HDC_2023-04-20_final.stac-item
2023-04-20 09:56:23	ga_s2am_ard_3-2-1_54HYH_2023-04-20_final.stac-item
2023-04-20 09:56:29	ga_s2am_ard_3-2-1_55HDB_2023-04-20_final.stac-item
2023-04-20 09:56:43	ga_s2am_ard_3-2-1_55HDA_2023-04-20_final.stac-item
2023-04-20 09:56:51	ga_s2am_ard_3-2-1_55HDA_2023-04-20_final.stac-item
2023-04-20 09:56:53	ga_s2am_ard_3-2-1_55HCA_2023-04-20_final.stac-item
2023-04-20 09:57:07	ga_s2am_ard_3-2-1_55HDU_2023-04-20_final.stac-item
2023-04-20 09:57:16	ga_s2am_ard_3-2-1_55HCU_2023-04-20_final.stac-item
2023-04-20 09:57:20	ga_s2am_ard_3-2-1_55HBU_2023-04-20_final.stac-item
2023-04-20 09:57:21	ga_s2am_ard_3-2-1_54HYD_2023-04-20_final.stac-item
2023-04-20 09:57:25	ga_s2am_ard_3-2-1_54HXD_2023-04-20_final.stac-item
2023-04-20 11:30:12	ga_s2am_ard_3-2-1_52LCP_2023-04-20_nrt.stac-item
2023-04-20 11:30:21	ga_s2am_ard_3-2-1_51LZJ_2023-04-20_nrt.stac-item
2023-04-20 11:30:28	ga_s2am_ard_3-2-1_51LXJ_2023-04-20_nrt.stac-item
2023-04-20 11:30:54	ga_s2am_ard_3-2-1_51LYG_2023-04-20_nrt.stac-item
2023-04-20 11:31:16	ga_s2am_ard_3-2-1_51LWF_2023-04-20_final.stac-item
2023-04-20 11:31:16	ga_s2am_ard_3-2-1_52LBK_2023-04-20_final.stac-item
2023-04-20 11:31:19	ga_s2am_ard_3-2-1_51LZE_2023-04-20_final.stac-item
2023-04-20 11:31:23	ga_s2am_ard_3-2-1_51LYE_2023-04-20_final.stac-item
2023-04-20 11:31:27	ga_s2am_ard_3-2-1_52LBJ_2023-04-20_final.stac-item
2023-04-20 11:31:29	ga_s2am_ard_3-2-1_51LWE_2023-04-20_final.stac-item
2023-04-20 11:31:34	ga_s2am_ard_3-2-1_51LZD_2023-04-20_final.stac-item
2023-04-20 11:31:37	ga_s2am_ard_3-2-1_51LYD_2023-04-20_final.stac-item
2023-04-20 11:31:44	ga_s2am_ard_3-2-1_51LWD_2023-04-20_final.stac-item
2023-04-20 11:31:55	ga_s2am_ard_3-2-1_51LXC_2023-04-20_final.stac-item
2023-04-20 11:31:58	ga_s2am_ard_3-2-1_51KZB_2023-04-20_final.stac-item
2023-04-20 11:32:10	ga_s2am_ard_3-2-1_51KXB_2023-04-20_final.stac-item
2023-04-20 11:32:13	ga_s2am_ard_3-2-1_51KWB_2023-04-20_final.stac-item
2023-04-20 11:32:18	ga_s2am_ard_3-2-1_51KVB_2023-04-20_final.stac-item
2023-04-20 11:32:20	ga_s2am_ard_3-2-1_51KYA_2023-04-20_final.stac-item
2023-04-20 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-04-20_final.stac-item
2023-04-20 11:32:31	ga_s2am_ard_3-2-1_51KVA_2023-04-20_final.stac-item
2023-04-20 11:32:35	ga_s2am_ard_3-2-1_51KYV_2023-04-20_final.stac-item
2023-04-20 11:32:39	ga_s2am_ard_3-2-1_51KXV_2023-04-20_final.stac-item
2023-04-20 11:32:42	ga_s2am_ard_3-2-1_51KWV_2023-04-20_final.stac-item
2023-04-20 11:32:45	ga_s2am_ard_3-2-1_51KVV_2023-04-20_final.stac-item
2023-04-20 11:32:53	ga_s2am_ard_3-2-1_51KXU_2023-04-20_final.stac-item
2023-04-20 11:33:00	ga_s2am_ard_3-2-1_51KYT_2023-04-20_final.stac-item
2023-04-20 11:33:07	ga_s2am_ard_3-2-1_51KXT_2023-04-20_final.stac-item
2023-04-20 11:33:22	ga_s2am_ard_3-2-1_51KXS_2023-04-20_final.stac-item
2023-04-20 11:33:26	ga_s2am_ard_3-2-1_51KWS_2023-04-20_final.stac-item
2023-04-20 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-04-20_final.stac-item
2023-04-20 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-04-20_final.stac-item
2023-04-20 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-04-20_final.stac-item
2023-04-20 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-04-20_final.stac-item
2023-04-20 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-04-20_final.stac-item
2023-04-20 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-04-20_final.stac-item
2023-04-20 11:34:14	ga_s2am_ard_3-2-1_51JXN_2023-04-20_final.stac-item
2023-04-20 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-04-20_final.stac-item
2023-04-20 11:34:27	ga_s2am_ard_3-2-1_51JVN_2023-04-20_final.stac-item
2023-04-20 11:34:30	ga_s2am_ard_3-2-1_51JUN_2023-04-20_final.stac-item
2023-04-20 11:34:35	ga_s2am_ard_3-2-1_50JRT_2023-04-20_final.stac-item
2023-04-20 11:34:45	ga_s2am_ard_3-2-1_51JUM_2023-04-20_final.stac-item
2023-04-20 11:34:48	ga_s2am_ard_3-2-1_50JRS_2023-04-20_final.stac-item
2023-04-20 11:36:09	ga_s2am_ard_3-2-1_51JVF_2023-04-20_final.stac-item
2023-04-20 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-04-20_final.stac-item
2023-04-20 11:37:22	ga_s2am_ard_3-2-1_50HQF_2023-04-20_nrt.stac-item
2023-04-20 11:37:23	ga_s2am_ard_3-2-1_50HPG_2023-04-20_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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