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
2022-01-08 11:47:22	ga_s2am_ard_3-2-1_50HNG_2022-01-08_final.stac-item
2022-01-08 11:47:26	ga_s2am_ard_3-2-1_50HMG_2022-01-08_final.stac-item
2022-01-09 09:32:46	ga_s2am_ard_3-2-1_56KNB_2022-01-09_final.stac-item
2022-01-09 09:32:48	ga_s2am_ard_3-2-1_56KMB_2022-01-09_final.stac-item
2022-01-09 09:32:50	ga_s2am_ard_3-2-1_56KLB_2022-01-09_final
2022-01-09 09:32:54	ga_s2am_ard_3-2-1_56KNA_2022-01-09_final.stac-item
2022-01-09 09:32:57	ga_s2am_ard_3-2-1_56KMA_2022-01-09_final
2022-01-09 09:33:00	ga_s2am_ard_3-2-1_56KLA_2022-01-09_final
2022-01-09 09:33:14	ga_s2am_ard_3-2-1_56KLV_2022-01-09_final
2022-01-09 09:33:26	ga_s2am_ard_3-2-1_56KMU_2022-01-09_final
2022-01-09 09:33:29	ga_s2am_ard_3-2-1_56KLU_2022-01-09_final
2022-01-09 09:33:51	ga_s2am_ard_3-2-1_56JKT_2022-01-09_final
2022-01-09 09:33:51	ga_s2am_ard_3-2-1_56JNS_2022-01-09_final
2022-01-09 09:33:55	ga_s2am_ard_3-2-1_56JMS_2022-01-09_final
2022-01-09 09:33:58	ga_s2am_ard_3-2-1_56JLS_2022-01-09_final
2022-01-09 09:34:02	ga_s2am_ard_3-2-1_56JKS_2022-01-09_final
2022-01-09 09:34:06	ga_s2am_ard_3-2-1_56JNR_2022-01-09_final.stac-item
2022-01-09 09:34:09	ga_s2am_ard_3-2-1_56JMR_2022-01-09_final
2022-01-09 09:34:34	ga_s2am_ard_3-2-1_56JNP_2022-01-09_final.stac-item
2022-01-09 09:34:38	ga_s2am_ard_3-2-1_56JMP_2022-01-09_final
2022-01-09 09:35:14	ga_s2am_ard_3-2-1_56JKM_2022-01-09_final
2022-01-09 09:35:17	ga_s2am_ard_3-2-1_55JGG_2022-01-09_final
2022-01-09 09:35:22	ga_s2am_ard_3-2-1_56JML_2022-01-09_final
2022-01-09 09:35:49	ga_s2am_ard_3-2-1_56HMJ_2022-01-09_final
2022-01-09 09:35:58	ga_s2am_ard_3-2-1_56HKJ_2022-01-09_final
2022-01-09 09:36:00	ga_s2am_ard_3-2-1_55HGD_2022-01-09_final
2022-01-09 09:36:13	ga_s2am_ard_3-2-1_56HKH_2022-01-09_final
2022-01-09 09:36:14	ga_s2am_ard_3-2-1_55HGC_2022-01-09_final
2022-01-09 09:36:52	ga_s2am_ard_3-2-1_55HEA_2022-01-09_final
2022-01-09 09:36:58	ga_s2am_ard_3-2-1_55HGV_2022-01-09_final
2022-01-09 09:37:01	ga_s2am_ard_3-2-1_55HFV_2022-01-09_final
2022-01-09 09:37:05	ga_s2am_ard_3-2-1_55HEV_2022-01-09_final
2022-01-09 09:37:12	ga_s2am_ard_3-2-1_55HGU_2022-01-09_final.stac-item
2022-01-09 09:37:16	ga_s2am_ard_3-2-1_55HFU_2022-01-09_final.stac-item
2022-01-09 09:37:45	ga_s2am_ard_3-2-1_55HFS_2022-01-09_final.stac-item
2022-01-09 09:37:49	ga_s2am_ard_3-2-1_55HES_2022-01-09_final
2022-01-09 09:37:53	ga_s2am_ard_3-2-1_55HDS_2022-01-09_final
2022-01-09 11:10:05	ga_s2am_ard_3-2-1_53LKJ_2022-01-09_final.stac-item
2022-01-09 11:10:25	ga_s2am_ard_3-2-1_52LHN_2022-01-09_final
2022-01-09 11:10:27	ga_s2am_ard_3-2-1_52LGN_2022-01-09_final
2022-01-09 11:10:29	ga_s2am_ard_3-2-1_52LFN_2022-01-09_final.stac-item
2022-01-09 11:10:31	ga_s2am_ard_3-2-1_52LHN_2022-01-09_final
2022-01-09 11:10:34	ga_s2am_ard_3-2-1_52LGN_2022-01-09_final
2022-01-09 11:10:35	ga_s2am_ard_3-2-1_52LFN_2022-01-09_final.stac-item
2022-01-09 11:10:38	ga_s2am_ard_3-2-1_52LHM_2022-01-09_final
2022-01-09 11:10:44	ga_s2am_ard_3-2-1_52LGM_2022-01-09_final
2022-01-09 11:10:48	ga_s2am_ard_3-2-1_52LFM_2022-01-09_final.stac-item
2022-01-09 11:11:17	ga_s2am_ard_3-2-1_52LFK_2022-01-09_final
2022-01-09 11:11:20	ga_s2am_ard_3-2-1_52LEK_2022-01-09_final.stac-item
2022-01-09 11:11:28	ga_s2am_ard_3-2-1_52LGJ_2022-01-09_final
2022-01-09 11:11:32	ga_s2am_ard_3-2-1_52LFJ_2022-01-09_final
2022-01-09 11:11:35	ga_s2am_ard_3-2-1_52LEJ_2022-01-09_final
2022-01-09 11:11:38	ga_s2am_ard_3-2-1_52LDJ_2022-01-09_final
2022-01-09 11:11:50	ga_s2am_ard_3-2-1_52LEH_2022-01-09_final
2022-01-09 11:11:53	ga_s2am_ard_3-2-1_52LDH_2022-01-09_final
2022-01-09 11:12:15	ga_s2am_ard_3-2-1_52KFF_2022-01-09_final
2022-01-09 11:12:19	ga_s2am_ard_3-2-1_52KEF_2022-01-09_final
2022-01-09 11:12:22	ga_s2am_ard_3-2-1_52KDF_2022-01-09_final
2022-01-09 11:12:25	ga_s2am_ard_3-2-1_52KCF_2022-01-09_final
2022-01-09 11:12:43	ga_s2am_ard_3-2-1_52KFD_2022-01-09_final
2022-01-09 11:12:48	ga_s2am_ard_3-2-1_52KED_2022-01-09_final
2022-01-09 11:12:51	ga_s2am_ard_3-2-1_52KDD_2022-01-09_final
2022-01-09 11:12:54	ga_s2am_ard_3-2-1_52KCD_2022-01-09_final
2022-01-09 11:12:55	ga_s2am_ard_3-2-1_52KFC_2022-01-09_final
2022-01-09 11:13:02	ga_s2am_ard_3-2-1_52KEC_2022-01-09_final
2022-01-09 11:13:06	ga_s2am_ard_3-2-1_52KDC_2022-01-09_final
2022-01-09 11:13:09	ga_s2am_ard_3-2-1_52KCC_2022-01-09_final
2022-01-09 11:13:15	ga_s2am_ard_3-2-1_52KBC_2022-01-09_final
2022-01-09 11:13:16	ga_s2am_ard_3-2-1_52KEB_2022-01-09_final
2022-01-09 11:13:20	ga_s2am_ard_3-2-1_52KDB_2022-01-09_final
2022-01-09 11:13:23	ga_s2am_ard_3-2-1_52KCB_2022-01-09_final
2022-01-09 11:13:27	ga_s2am_ard_3-2-1_52KBB_2022-01-09_final
2022-01-09 11:13:30	ga_s2am_ard_3-2-1_51KZS_2022-01-09_final
2022-01-09 11:13:31	ga_s2am_ard_3-2-1_52KEA_2022-01-09_final
2022-01-09 11:13:35	ga_s2am_ard_3-2-1_52KDA_2022-01-09_final
2022-01-09 11:13:38	ga_s2am_ard_3-2-1_52KCA_2022-01-09_final
2022-01-09 11:13:41	ga_s2am_ard_3-2-1_52KBA_2022-01-09_final
2022-01-09 11:13:46	ga_s2am_ard_3-2-1_52KEV_2022-01-09_final
2022-01-09 11:13:49	ga_s2am_ard_3-2-1_52KDV_2022-01-09_final
2022-01-09 11:13:53	ga_s2am_ard_3-2-1_52KCV_2022-01-09_final
2022-01-09 11:13:56	ga_s2am_ard_3-2-1_52KBV_2022-01-09_final
2022-01-09 11:13:59	ga_s2am_ard_3-2-1_52KEU_2022-01-09_final
2022-01-09 11:14:04	ga_s2am_ard_3-2-1_52KDU_2022-01-09_final
2022-01-09 11:14:07	ga_s2am_ard_3-2-1_52KCU_2022-01-09_final
2022-01-09 11:14:09	ga_s2am_ard_3-2-1_52JET_2022-01-09_final
2022-01-09 11:14:13	ga_s2am_ard_3-2-1_52JDT_2022-01-09_final
2022-01-09 11:14:14	ga_s2am_ard_3-2-1_52KCU_2022-01-09_final
2022-01-09 11:14:19	ga_s2am_ard_3-2-1_52JDT_2022-01-09_final
2022-01-09 11:14:25	ga_s2am_ard_3-2-1_52JBT_2022-01-09_final
2022-01-09 11:14:33	ga_s2am_ard_3-2-1_52JDS_2022-01-09_final
2022-01-09 11:14:36	ga_s2am_ard_3-2-1_52JCS_2022-01-09_final
2022-01-09 11:14:39	ga_s2am_ard_3-2-1_52JBS_2022-01-09_final
2022-01-09 11:14:43	ga_s2am_ard_3-2-1_51JYM_2022-01-09_final
2022-01-09 11:14:47	ga_s2am_ard_3-2-1_52JDR_2022-01-09_final
2022-01-09 11:14:57	ga_s2am_ard_3-2-1_51JYL_2022-01-09_final
2022-01-09 11:15:13	ga_s2am_ard_3-2-1_52JDP_2022-01-09_final
2022-01-09 11:15:52	ga_s2am_ard_3-2-1_52JBM_2022-01-09_final
2022-01-09 11:15:55	ga_s2am_ard_3-2-1_51JYG_2022-01-09_final
2022-01-09 11:16:38	ga_s2am_ard_3-2-1_51HYD_2022-01-09_final
2022-01-09 11:16:45	ga_s2am_ard_3-2-1_51HWD_2022-01-09_final

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

All years