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
2019-05-01 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-05-01_final
2019-05-01 11:34:06	ga_s2am_ard_3-2-1_51KUQ_2019-05-01_final
2019-05-01 11:34:09	ga_s2am_ard_3-2-1_51KXP_2019-05-01_final
2019-05-01 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-05-01_final
2019-05-01 11:34:18	ga_s2am_ard_3-2-1_51KVP_2019-05-01_final
2019-05-01 11:34:19	ga_s2am_ard_3-2-1_51JXN_2019-05-01_final
2019-05-01 11:34:21	ga_s2am_ard_3-2-1_51KUP_2019-05-01_final
2019-05-01 11:34:29	ga_s2am_ard_3-2-1_51JWN_2019-05-01_final
2019-05-01 11:34:32	ga_s2am_ard_3-2-1_51JVN_2019-05-01_final
2019-05-01 11:34:40	ga_s2am_ard_3-2-1_51JTN_2019-05-01_final
2019-05-01 11:34:40	ga_s2am_ard_3-2-1_50JRT_2019-05-01_final
2019-05-01 11:34:53	ga_s2am_ard_3-2-1_50JRS_2019-05-01_final
2019-05-01 11:34:53	ga_s2am_ard_3-2-1_51JTM_2019-05-01_final
2019-05-01 11:35:22	ga_s2am_ard_3-2-1_51JTK_2019-05-01_final
2019-05-01 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2019-05-01_final
2019-05-01 11:36:00	ga_s2am_ard_3-2-1_51JVG_2019-05-01_final
2019-05-01 11:36:14	ga_s2am_ard_3-2-1_51JVF_2019-05-01_final
2019-05-01 11:36:21	ga_s2am_ard_3-2-1_51JTF_2019-05-01_final
2019-05-01 11:36:23	ga_s2am_ard_3-2-1_50JQL_2019-05-01_final
2019-05-01 11:36:35	ga_s2am_ard_3-2-1_51HTE_2019-05-01_final
2019-05-01 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-05-01_final
2019-05-01 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-05-01_final
2019-05-01 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-05-01_final
2019-05-01 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-05-01_final
2019-05-01 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-05-01_final
2019-05-01 11:37:06	ga_s2am_ard_3-2-1_50HQH_2019-05-01_final
2019-05-01 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-05-01_final
2019-05-01 11:37:16	ga_s2am_ard_3-2-1_51HUB_2019-05-01_final.stac-item
2019-05-01 11:37:19	ga_s2am_ard_3-2-1_51HTB_2019-05-01_final.stac-item
2019-05-02 09:23:43	ga_s2am_ard_3-2-1_56JNT_2019-05-01_final
2019-05-02 09:24:42	ga_s2am_ard_3-2-1_56JNP_2019-05-01_final.stac-item
2019-05-02 09:24:45	ga_s2am_ard_3-2-1_56JMP_2019-05-01_final
2019-05-02 09:25:25	ga_s2am_ard_3-2-1_56JNL_2019-05-01_final
2019-05-02 09:25:29	ga_s2am_ard_3-2-1_56JML_2019-05-01_final
2019-05-02 09:26:01	ga_s2am_ard_3-2-1_56HLJ_2019-05-01_final
2019-05-02 09:26:16	ga_s2am_ard_3-2-1_56HLH_2019-05-01_final.stac-item
2019-05-02 09:26:35	ga_s2am_ard_3-2-1_56HKG_2019-05-01_final
2019-05-02 09:27:53	ga_s2am_ard_3-2-1_55HFS_2019-05-01_final.stac-item
2019-05-02 11:00:18	ga_s2am_ard_3-2-1_53LKJ_2019-05-02_final.stac-item
2019-05-02 11:00:26	ga_s2am_ard_3-2-1_53LMH_2019-05-02_final.stac-item
2019-05-02 11:00:29	ga_s2am_ard_3-2-1_53LLH_2019-05-02_final.stac-item
2019-05-02 11:00:40	ga_s2am_ard_3-2-1_53LMG_2019-05-02_final
2019-05-02 11:00:47	ga_s2am_ard_3-2-1_53LKG_2019-05-02_final
2019-05-02 11:00:48	ga_s2am_ard_3-2-1_52LHM_2019-05-02_final
2019-05-02 11:00:52	ga_s2am_ard_3-2-1_53LMF_2019-05-02_final
2019-05-02 11:00:52	ga_s2am_ard_3-2-1_52LGM_2019-05-02_final
2019-05-02 11:00:58	ga_s2am_ard_3-2-1_53LLF_2019-05-02_final
2019-05-02 11:01:12	ga_s2am_ard_3-2-1_53LLE_2019-05-02_final
2019-05-02 11:01:16	ga_s2am_ard_3-2-1_53LKE_2019-05-02_final
2019-05-02 11:01:21	ga_s2am_ard_3-2-1_52LGK_2019-05-02_final
2019-05-02 11:01:27	ga_s2am_ard_3-2-1_53LLD_2019-05-02_final
2019-05-02 11:01:30	ga_s2am_ard_3-2-1_53LKD_2019-05-02_final
2019-05-02 11:01:32	ga_s2am_ard_3-2-1_52LHJ_2019-05-02_final
2019-05-02 11:01:35	ga_s2am_ard_3-2-1_52LGJ_2019-05-02_final
2019-05-02 11:01:42	ga_s2am_ard_3-2-1_53LLC_2019-05-02_final
2019-05-02 11:01:43	ga_s2am_ard_3-2-1_52LFJ_2019-05-02_final
2019-05-02 11:01:46	ga_s2am_ard_3-2-1_52LHH_2019-05-02_final
2019-05-02 11:01:54	ga_s2am_ard_3-2-1_52LFH_2019-05-02_final
2019-05-02 11:01:55	ga_s2am_ard_3-2-1_53KLB_2019-05-02_final
2019-05-02 11:02:00	ga_s2am_ard_3-2-1_53KKB_2019-05-02_final
2019-05-02 11:02:01	ga_s2am_ard_3-2-1_52KHG_2019-05-02_final
2019-05-02 11:02:04	ga_s2am_ard_3-2-1_52KGG_2019-05-02_final
2019-05-02 11:02:07	ga_s2am_ard_3-2-1_53KLA_2019-05-02_final
2019-05-02 11:02:07	ga_s2am_ard_3-2-1_52KFG_2019-05-02_final
2019-05-02 11:02:14	ga_s2am_ard_3-2-1_53KKA_2019-05-02_final
2019-05-02 11:02:22	ga_s2am_ard_3-2-1_52KFF_2019-05-02_final
2019-05-02 11:02:28	ga_s2am_ard_3-2-1_53KKV_2019-05-02_final
2019-05-02 11:02:29	ga_s2am_ard_3-2-1_52KHE_2019-05-02_final
2019-05-02 11:02:37	ga_s2am_ard_3-2-1_52KFE_2019-05-02_final
2019-05-02 11:02:43	ga_s2am_ard_3-2-1_53KKU_2019-05-02_final
2019-05-02 11:02:44	ga_s2am_ard_3-2-1_52KHD_2019-05-02_final
2019-05-02 11:02:48	ga_s2am_ard_3-2-1_52KGD_2019-05-02_final
2019-05-02 11:02:51	ga_s2am_ard_3-2-1_52KFD_2019-05-02_final
2019-05-02 11:02:55	ga_s2am_ard_3-2-1_52KED_2019-05-02_final
2019-05-02 11:02:58	ga_s2am_ard_3-2-1_53KKT_2019-05-02_final
2019-05-02 11:02:58	ga_s2am_ard_3-2-1_52KHC_2019-05-02_final
2019-05-02 11:03:02	ga_s2am_ard_3-2-1_52KGC_2019-05-02_final
2019-05-02 11:03:06	ga_s2am_ard_3-2-1_52KFC_2019-05-02_final
2019-05-02 11:03:09	ga_s2am_ard_3-2-1_52KEC_2019-05-02_final
2019-05-02 11:03:11	ga_s2am_ard_3-2-1_53KKS_2019-05-02_final
2019-05-02 11:03:13	ga_s2am_ard_3-2-1_52KHB_2019-05-02_final
2019-05-02 11:03:17	ga_s2am_ard_3-2-1_52KGB_2019-05-02_final
2019-05-02 11:03:23	ga_s2am_ard_3-2-1_52KEB_2019-05-02_final
2019-05-02 11:03:26	ga_s2am_ard_3-2-1_52KHA_2019-05-02_final
2019-05-02 11:03:37	ga_s2am_ard_3-2-1_52KHV_2019-05-02_final
2019-05-02 11:03:45	ga_s2am_ard_3-2-1_52KGV_2019-05-02_final
2019-05-02 11:03:49	ga_s2am_ard_3-2-1_52KFV_2019-05-02_final
2019-05-02 11:04:00	ga_s2am_ard_3-2-1_52KGU_2019-05-02_final
2019-05-02 11:04:04	ga_s2am_ard_3-2-1_52KFU_2019-05-02_final
2019-05-02 11:04:07	ga_s2am_ard_3-2-1_52KEU_2019-05-02_final
2019-05-02 11:04:10	ga_s2am_ard_3-2-1_52KDU_2019-05-02_final
2019-05-02 11:04:15	ga_s2am_ard_3-2-1_52JGT_2019-05-02_final
2019-05-02 11:04:18	ga_s2am_ard_3-2-1_52JFT_2019-05-02_final
2019-05-02 11:04:22	ga_s2am_ard_3-2-1_52JET_2019-05-02_final
2019-05-02 11:04:25	ga_s2am_ard_3-2-1_52JDT_2019-05-02_final
2019-05-02 11:04:33	ga_s2am_ard_3-2-1_52JFS_2019-05-02_final
2019-05-02 11:05:52	ga_s2am_ard_3-2-1_52JDM_2019-05-02_final
2019-05-02 11:06:03	ga_s2am_ard_3-2-1_52JEL_2019-05-02_final
2019-05-02 11:06:07	ga_s2am_ard_3-2-1_52JDL_2019-05-02_final
2019-05-02 11:06:14	ga_s2am_ard_3-2-1_52JBL_2019-05-02_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