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
2018-11-21 12:04:39	ga_s2am_ard_3-2-1_49JGN_2018-11-21_final
2018-11-21 12:04:45	ga_s2am_ard_3-2-1_50JLS_2018-11-21_final
2018-11-21 12:04:47	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final
2018-11-21 12:04:51	ga_s2am_ard_3-2-1_50JMR_2018-11-21_final
2018-11-21 12:04:51	ga_s2am_ard_3-2-1_50JLR_2018-11-21_final
2018-11-21 12:04:52	ga_s2am_ard_3-2-1_50JMR_2018-11-21_final
2018-11-21 12:04:52	ga_s2am_ard_3-2-1_50JLS_2018-11-21_final
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_50JKS_2018-11-21_final
2018-11-21 12:05:16	ga_s2am_ard_3-2-1_50JLQ_2018-11-21_final
2018-11-21 12:05:22	ga_s2am_ard_3-2-1_49JGK_2018-11-21_final
2018-11-21 12:05:45	ga_s2am_ard_3-2-1_50JLN_2018-11-21_final
2018-11-22 09:51:05	ga_s2am_ard_3-2-1_55LHC_2018-11-22_final.stac-item
2018-11-22 09:51:08	ga_s2am_ard_3-2-1_55LGC_2018-11-22_final
2018-11-22 09:51:18	ga_s2am_ard_3-2-1_56KKG_2018-11-22_final.stac-item
2018-11-22 09:51:19	ga_s2am_ard_3-2-1_55KHB_2018-11-22_final.stac-item
2018-11-22 09:51:23	ga_s2am_ard_3-2-1_55KGB_2018-11-22_final
2018-11-22 09:52:06	ga_s2am_ard_3-2-1_55KGU_2018-11-22_final
2018-11-22 09:52:10	ga_s2am_ard_3-2-1_55KFU_2018-11-22_final
2018-11-22 09:52:13	ga_s2am_ard_3-2-1_55KEU_2018-11-22_final
2018-11-22 09:52:21	ga_s2am_ard_3-2-1_55KGT_2018-11-22_final
2018-11-22 09:52:24	ga_s2am_ard_3-2-1_55KFT_2018-11-22_final
2018-11-22 09:52:28	ga_s2am_ard_3-2-1_55KET_2018-11-22_final
2018-11-22 09:52:28	ga_s2am_ard_3-2-1_55KHS_2018-11-22_final
2018-11-22 09:53:26	ga_s2am_ard_3-2-1_55KEP_2018-11-22_final
2018-11-22 09:53:29	ga_s2am_ard_3-2-1_55KDP_2018-11-22_final
2018-11-22 09:53:31	ga_s2am_ard_3-2-1_55JGN_2018-11-22_final
2018-11-22 09:53:37	ga_s2am_ard_3-2-1_55JFN_2018-11-22_final
2018-11-22 09:53:40	ga_s2am_ard_3-2-1_55JEN_2018-11-22_final
2018-11-22 09:53:44	ga_s2am_ard_3-2-1_55JDN_2018-11-22_final
2018-11-22 09:53:51	ga_s2am_ard_3-2-1_55JCN_2018-11-22_final
2018-11-22 09:53:51	ga_s2am_ard_3-2-1_55JFM_2018-11-22_final
2018-11-22 09:54:02	ga_s2am_ard_3-2-1_55JCM_2018-11-22_final
2018-11-22 09:54:09	ga_s2am_ard_3-2-1_55JEL_2018-11-22_final
2018-11-22 09:54:13	ga_s2am_ard_3-2-1_55JDL_2018-11-22_final
2018-11-22 09:54:20	ga_s2am_ard_3-2-1_55JFK_2018-11-22_final
2018-11-22 09:54:30	ga_s2am_ard_3-2-1_55JCK_2018-11-22_final
2018-11-22 09:54:44	ga_s2am_ard_3-2-1_55JFH_2018-11-22_final
2018-11-22 09:55:00	ga_s2am_ard_3-2-1_55JCH_2018-11-22_final
2018-11-22 09:55:22	ga_s2am_ard_3-2-1_55JEF_2018-11-22_final
2018-11-22 09:55:25	ga_s2am_ard_3-2-1_55JDF_2018-11-22_final
2018-11-22 09:55:32	ga_s2am_ard_3-2-1_55JBF_2018-11-22_final
2018-11-22 09:55:47	ga_s2am_ard_3-2-1_55HED_2018-11-22_final
2018-11-22 09:55:50	ga_s2am_ard_3-2-1_54HYK_2018-11-22_final
2018-11-22 09:55:54	ga_s2am_ard_3-2-1_55HDD_2018-11-22_final
2018-11-22 09:55:58	ga_s2am_ard_3-2-1_55HCD_2018-11-22_final
2018-11-22 09:56:09	ga_s2am_ard_3-2-1_55HDC_2018-11-22_final
2018-11-22 09:56:12	ga_s2am_ard_3-2-1_55HCC_2018-11-22_final
2018-11-22 09:56:24	ga_s2am_ard_3-2-1_55HDB_2018-11-22_final
2018-11-22 09:56:27	ga_s2am_ard_3-2-1_55HCB_2018-11-22_final
2018-11-22 09:56:30	ga_s2am_ard_3-2-1_55HBB_2018-11-22_final
2018-11-22 09:56:32	ga_s2am_ard_3-2-1_54HYG_2018-11-22_final
2018-11-22 09:56:39	ga_s2am_ard_3-2-1_54HXG_2018-11-22_final
2018-11-22 09:57:01	ga_s2am_ard_3-2-1_55HDU_2018-11-22_final
2018-11-22 09:57:25	ga_s2am_ard_3-2-1_55HCT_2018-11-22_final
2018-11-22 09:57:29	ga_s2am_ard_3-2-1_55HBT_2018-11-22_final
2018-11-22 09:57:29	ga_s2am_ard_3-2-1_54HYC_2018-11-22_final
2018-11-22 09:57:33	ga_s2am_ard_3-2-1_54HXC_2018-11-22_final
2018-11-22 09:57:38	ga_s2am_ard_3-2-1_54HWC_2018-11-22_final
2018-11-22 11:31:24	ga_s2am_ard_3-2-1_51LWE_2018-11-22_final
2018-11-22 11:31:41	ga_s2am_ard_3-2-1_51LZC_2018-11-22_final
2018-11-22 11:31:46	ga_s2am_ard_3-2-1_51LYC_2018-11-22_final
2018-11-22 11:31:52	ga_s2am_ard_3-2-1_51KZB_2018-11-22_final
2018-11-22 11:32:00	ga_s2am_ard_3-2-1_51KYB_2018-11-22_final
2018-11-22 11:32:04	ga_s2am_ard_3-2-1_51KXB_2018-11-22_final
2018-11-22 11:32:43	ga_s2am_ard_3-2-1_51KYU_2018-11-22_final
2018-11-22 11:32:48	ga_s2am_ard_3-2-1_51KXU_2018-11-22_final
2018-11-22 11:32:51	ga_s2am_ard_3-2-1_51KWU_2018-11-22_final
2018-11-22 11:32:54	ga_s2am_ard_3-2-1_51KVU_2018-11-22_final
2018-11-22 11:32:55	ga_s2am_ard_3-2-1_51KYT_2018-11-22_final
2018-11-22 11:33:02	ga_s2am_ard_3-2-1_51KXT_2018-11-22_final
2018-11-22 11:33:06	ga_s2am_ard_3-2-1_51KWT_2018-11-22_final
2018-11-22 11:33:09	ga_s2am_ard_3-2-1_51KVT_2018-11-22_final
2018-11-22 11:33:15	ga_s2am_ard_3-2-1_51KUT_2018-11-22_final
2018-11-22 11:33:17	ga_s2am_ard_3-2-1_51KVT_2018-11-22_final
2018-11-22 11:33:18	ga_s2am_ard_3-2-1_51KUT_2018-11-22_final
2018-11-22 11:34:03	ga_s2am_ard_3-2-1_51KWP_2018-11-22_final
2018-11-22 11:34:07	ga_s2am_ard_3-2-1_51KVP_2018-11-22_final
2018-11-22 11:34:08	ga_s2am_ard_3-2-1_51JXN_2018-11-22_final
2018-11-22 11:34:18	ga_s2am_ard_3-2-1_51JWN_2018-11-22_final
2018-11-22 11:34:22	ga_s2am_ard_3-2-1_51JVN_2018-11-22_final
2018-11-22 11:34:25	ga_s2am_ard_3-2-1_51JUN_2018-11-22_final
2018-11-22 11:34:29	ga_s2am_ard_3-2-1_51JTN_2018-11-22_final
2018-11-22 11:34:30	ga_s2am_ard_3-2-1_50JRT_2018-11-22_final
2018-11-22 11:34:39	ga_s2am_ard_3-2-1_51JUM_2018-11-22_final
2018-11-22 11:34:42	ga_s2am_ard_3-2-1_50JRS_2018-11-22_final
2018-11-22 11:35:08	ga_s2am_ard_3-2-1_51JUK_2018-11-22_final
2018-11-22 11:35:38	ga_s2am_ard_3-2-1_51JUH_2018-11-22_final
2018-11-22 11:36:10	ga_s2am_ard_3-2-1_51JTF_2018-11-22_final
2018-11-22 11:36:13	ga_s2am_ard_3-2-1_50JQL_2018-11-22_final
2018-11-22 11:36:27	ga_s2am_ard_3-2-1_51HVD_2018-11-22_final
2018-11-22 11:36:27	ga_s2am_ard_3-2-1_50HQK_2018-11-22_final
2018-11-22 11:36:36	ga_s2am_ard_3-2-1_51HUD_2018-11-22_final
2018-11-22 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2018-11-22_final
2018-11-22 11:36:50	ga_s2am_ard_3-2-1_51HUC_2018-11-22_final
2018-11-22 11:37:00	ga_s2am_ard_3-2-1_50HPH_2018-11-22_final
2018-11-22 11:37:05	ga_s2am_ard_3-2-1_51HUB_2018-11-22_final.stac-item
2018-11-22 11:37:08	ga_s2am_ard_3-2-1_51HTB_2018-11-22_final.stac-item
2018-11-22 11:37:10	ga_s2am_ard_3-2-1_50HQG_2018-11-22_final.stac-item
2018-11-22 11:37:14	ga_s2am_ard_3-2-1_50HPG_2018-11-22_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

Other products

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