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
2022-05-21 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-05-21_final
2022-05-21 11:57:12	ga_s2am_ard_3-2-1_50HMH_2022-05-21_final
2022-05-21 11:57:27	ga_s2am_ard_3-2-1_50HMG_2022-05-21_final.stac-item
2022-05-21 11:57:29	ga_s2am_ard_3-2-1_50HLG_2022-05-21_final.stac-item
2022-05-22 09:41:36	ga_s2am_ard_3-2-1_56KKG_2022-05-22_final.stac-item
2022-05-22 09:41:48	ga_s2am_ard_3-2-1_56KLF_2022-05-22_final
2022-05-22 09:42:17	ga_s2am_ard_3-2-1_56KLD_2022-05-22_final
2022-05-22 09:42:40	ga_s2am_ard_3-2-1_55KGT_2022-05-22_final
2022-05-22 09:42:50	ga_s2am_ard_3-2-1_55KHS_2022-05-22_final
2022-05-22 09:42:56	ga_s2am_ard_3-2-1_56KMA_2022-05-22_final
2022-05-22 09:43:19	ga_s2am_ard_3-2-1_56KKV_2022-05-22_final
2022-05-22 09:43:22	ga_s2am_ard_3-2-1_55KGQ_2022-05-22_final
2022-05-22 09:43:37	ga_s2am_ard_3-2-1_55KGP_2022-05-22_final
2022-05-22 09:43:41	ga_s2am_ard_3-2-1_55KFP_2022-05-22_final
2022-05-22 09:43:44	ga_s2am_ard_3-2-1_56JLT_2022-05-22_final
2022-05-22 09:43:48	ga_s2am_ard_3-2-1_56JKT_2022-05-22_final
2022-05-22 09:43:51	ga_s2am_ard_3-2-1_55JGN_2022-05-22_final
2022-05-22 09:43:54	ga_s2am_ard_3-2-1_55JFN_2022-05-22_final
2022-05-22 09:43:59	ga_s2am_ard_3-2-1_56JLS_2022-05-22_final
2022-05-22 09:44:02	ga_s2am_ard_3-2-1_56JKS_2022-05-22_final
2022-05-22 09:44:06	ga_s2am_ard_3-2-1_55JGM_2022-05-22_final
2022-05-22 09:44:31	ga_s2am_ard_3-2-1_56JKQ_2022-05-22_final
2022-05-22 09:44:32	ga_s2am_ard_3-2-1_55JEL_2022-05-22_final
2022-05-22 09:44:38	ga_s2am_ard_3-2-1_55JFK_2022-05-22_final
2022-05-22 09:45:01	ga_s2am_ard_3-2-1_56JKN_2022-05-22_final
2022-05-22 09:45:07	ga_s2am_ard_3-2-1_55JFH_2022-05-22_final
2022-05-22 09:45:15	ga_s2am_ard_3-2-1_56JKM_2022-05-22_final
2022-05-22 09:45:28	ga_s2am_ard_3-2-1_56JKL_2022-05-22_final
2022-05-22 09:45:32	ga_s2am_ard_3-2-1_55JGF_2022-05-22_final
2022-05-22 09:45:39	ga_s2am_ard_3-2-1_56HKK_2022-05-22_final
2022-05-22 09:45:47	ga_s2am_ard_3-2-1_55HGE_2022-05-22_final
2022-05-22 09:46:05	ga_s2am_ard_3-2-1_55HFD_2022-05-22_final
2022-05-22 09:46:09	ga_s2am_ard_3-2-1_55HED_2022-05-22_final
2022-05-22 09:46:12	ga_s2am_ard_3-2-1_55HDD_2022-05-22_final
2022-05-22 09:46:23	ga_s2am_ard_3-2-1_55HEC_2022-05-22_final
2022-05-22 09:46:24	ga_s2am_ard_3-2-1_55HGB_2022-05-22_final
2022-05-22 09:46:38	ga_s2am_ard_3-2-1_55HEB_2022-05-22_final
2022-05-22 09:46:41	ga_s2am_ard_3-2-1_55HDB_2022-05-22_final
2022-05-22 09:46:45	ga_s2am_ard_3-2-1_55HCB_2022-05-22_final
2022-05-22 09:47:16	ga_s2am_ard_3-2-1_55HFU_2022-05-22_final.stac-item
2022-05-22 09:47:21	ga_s2am_ard_3-2-1_55HEU_2022-05-22_final
2022-05-22 09:47:25	ga_s2am_ard_3-2-1_55HDU_2022-05-22_final
2022-05-22 09:47:26	ga_s2am_ard_3-2-1_55HFT_2022-05-22_final.stac-item
2022-05-22 09:47:30	ga_s2am_ard_3-2-1_55HET_2022-05-22_final
2022-05-22 09:47:32	ga_s2am_ard_3-2-1_55HDU_2022-05-22_final
2022-05-22 09:47:32	ga_s2am_ard_3-2-1_55HDT_2022-05-22_final
2022-05-22 09:47:34	ga_s2am_ard_3-2-1_55HCT_2022-05-22_final
2022-05-22 09:47:37	ga_s2am_ard_3-2-1_55HET_2022-05-22_final
2022-05-22 09:47:39	ga_s2am_ard_3-2-1_55HDT_2022-05-22_final
2022-05-22 09:47:43	ga_s2am_ard_3-2-1_55HCT_2022-05-22_final
2022-05-22 09:47:47	ga_s2am_ard_3-2-1_55HBT_2022-05-22_final
2022-05-22 09:47:50	ga_s2am_ard_3-2-1_55HES_2022-05-22_final
2022-05-22 09:47:51	ga_s2am_ard_3-2-1_54HYC_2022-05-22_final
2022-05-22 09:47:54	ga_s2am_ard_3-2-1_55HDS_2022-05-22_final
2022-05-22 09:47:57	ga_s2am_ard_3-2-1_55HCS_2022-05-22_final
2022-05-22 09:48:00	ga_s2am_ard_3-2-1_55HBS_2022-05-22_final
2022-05-22 09:48:01	ga_s2am_ard_3-2-1_54HYB_2022-05-22_final
2022-05-22 09:48:52	ga_s2am_ard_3-2-1_55GDN_2022-05-22_final
2022-05-22 09:48:55	ga_s2am_ard_3-2-1_55GCN_2022-05-22_final
2022-05-22 09:49:06	ga_s2am_ard_3-2-1_55GDM_2022-05-22_final.stac-item
2022-05-22 09:49:08	ga_s2am_ard_3-2-1_55GCM_2022-05-22_final.stac-item
2022-05-22 11:21:04	ga_s2am_ard_3-2-1_52LEL_2022-05-22_final.stac-item
2022-05-22 11:21:14	ga_s2am_ard_3-2-1_52LEK_2022-05-22_final.stac-item
2022-05-22 11:21:28	ga_s2am_ard_3-2-1_52LCK_2022-05-22_final.stac-item
2022-05-22 11:21:39	ga_s2am_ard_3-2-1_52LDJ_2022-05-22_final
2022-05-22 11:21:42	ga_s2am_ard_3-2-1_52LCJ_2022-05-22_final
2022-05-22 11:22:14	ga_s2am_ard_3-2-1_52KBG_2022-05-22_final
2022-05-22 11:22:19	ga_s2am_ard_3-2-1_51KYB_2022-05-22_final
2022-05-22 11:22:25	ga_s2am_ard_3-2-1_52KCF_2022-05-22_final
2022-05-22 11:22:55	ga_s2am_ard_3-2-1_52KCD_2022-05-22_final
2022-05-22 11:23:07	ga_s2am_ard_3-2-1_51KXU_2022-05-22_final
2022-05-22 11:23:09	ga_s2am_ard_3-2-1_52KCC_2022-05-22_final
2022-05-22 11:23:13	ga_s2am_ard_3-2-1_52KBC_2022-05-22_final
2022-05-22 11:23:17	ga_s2am_ard_3-2-1_51KYT_2022-05-22_final
2022-05-22 11:23:20	ga_s2am_ard_3-2-1_51KXT_2022-05-22_final
2022-05-22 11:23:56	ga_s2am_ard_3-2-1_52KBV_2022-05-22_final
2022-05-22 11:24:00	ga_s2am_ard_3-2-1_51KYQ_2022-05-22_final
2022-05-22 11:24:15	ga_s2am_ard_3-2-1_51KYP_2022-05-22_final
2022-05-22 11:24:18	ga_s2am_ard_3-2-1_51KXP_2022-05-22_final
2022-05-22 11:24:25	ga_s2am_ard_3-2-1_52JBT_2022-05-22_final
2022-05-22 11:24:29	ga_s2am_ard_3-2-1_51JYN_2022-05-22_final
2022-05-22 11:24:33	ga_s2am_ard_3-2-1_51JXN_2022-05-22_final
2022-05-22 11:24:36	ga_s2am_ard_3-2-1_51JWN_2022-05-22_final
2022-05-22 11:24:39	ga_s2am_ard_3-2-1_52JBS_2022-05-22_final
2022-05-22 11:24:43	ga_s2am_ard_3-2-1_51JYM_2022-05-22_final
2022-05-22 11:24:47	ga_s2am_ard_3-2-1_51JXM_2022-05-22_final
2022-05-22 11:24:51	ga_s2am_ard_3-2-1_51JWM_2022-05-22_final
2022-05-22 11:25:02	ga_s2am_ard_3-2-1_51JXL_2022-05-22_final
2022-05-22 11:25:16	ga_s2am_ard_3-2-1_51JXK_2022-05-22_final
2022-05-22 11:25:34	ga_s2am_ard_3-2-1_51JWJ_2022-05-22_final
2022-05-22 11:25:37	ga_s2am_ard_3-2-1_51JVJ_2022-05-22_final
2022-05-22 11:25:45	ga_s2am_ard_3-2-1_51JXH_2022-05-22_final
2022-05-22 11:25:51	ga_s2am_ard_3-2-1_51JYG_2022-05-22_final
2022-05-22 11:26:42	ga_s2am_ard_3-2-1_51HXD_2022-05-22_final
2022-05-22 11:26:47	ga_s2am_ard_3-2-1_51HWD_2022-05-22_final
2022-05-22 11:26:50	ga_s2am_ard_3-2-1_51HVD_2022-05-22_final
2022-05-22 11:26:54	ga_s2am_ard_3-2-1_51HUD_2022-05-22_final
2022-05-22 11:27:01	ga_s2am_ard_3-2-1_51HWC_2022-05-22_final.stac-item
2022-05-22 11:27:05	ga_s2am_ard_3-2-1_51HVC_2022-05-22_final
2022-05-22 11:27:15	ga_s2am_ard_3-2-1_51HWB_2022-05-22_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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