Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2024-01-16 11:01:09	ga_s2am_ard_3-2-1_52LGK_2024-01-16_final
2024-01-16 11:01:16	ga_s2am_ard_3-2-1_53LLD_2024-01-16_final
2024-01-16 11:01:19	ga_s2am_ard_3-2-1_53LKD_2024-01-16_final
2024-01-16 11:01:21	ga_s2am_ard_3-2-1_52LHJ_2024-01-16_final
2024-01-16 11:01:24	ga_s2am_ard_3-2-1_52LGJ_2024-01-16_final
2024-01-16 11:01:31	ga_s2am_ard_3-2-1_53LLC_2024-01-16_final
2024-01-16 11:01:35	ga_s2am_ard_3-2-1_52LHH_2024-01-16_final
2024-01-16 11:01:39	ga_s2am_ard_3-2-1_52LGH_2024-01-16_final
2024-01-16 11:01:48	ga_s2am_ard_3-2-1_53KKB_2024-01-16_final
2024-01-16 11:01:53	ga_s2am_ard_3-2-1_52KGG_2024-01-16_final
2024-01-16 11:01:56	ga_s2am_ard_3-2-1_53KLA_2024-01-16_final
2024-01-16 11:02:03	ga_s2am_ard_3-2-1_53KKA_2024-01-16_final
2024-01-16 11:02:08	ga_s2am_ard_3-2-1_52KGF_2024-01-16_final
2024-01-16 11:02:11	ga_s2am_ard_3-2-1_52KFF_2024-01-16_final
2024-01-16 11:02:17	ga_s2am_ard_3-2-1_53KKV_2024-01-16_final
2024-01-16 11:02:18	ga_s2am_ard_3-2-1_52KHE_2024-01-16_final
2024-01-16 11:02:22	ga_s2am_ard_3-2-1_52KGE_2024-01-16_final
2024-01-16 11:02:24	ga_s2am_ard_3-2-1_52KFE_2024-01-16_final
2024-01-16 11:02:27	ga_s2am_ard_3-2-1_52KHD_2024-01-16_final
2024-01-16 11:02:29	ga_s2am_ard_3-2-1_52KGE_2024-01-16_final
2024-01-16 11:02:29	ga_s2am_ard_3-2-1_52KGD_2024-01-16_final
2024-01-16 11:05:12	ga_s2am_ard_3-2-1_52JDP_2024-01-16_final
2024-01-16 11:05:15	ga_s2am_ard_3-2-1_52JCP_2024-01-16_final
2024-01-16 11:05:19	ga_s2am_ard_3-2-1_52JFN_2024-01-16_final
2024-01-16 11:05:23	ga_s2am_ard_3-2-1_52JEN_2024-01-16_final
2024-01-16 11:05:26	ga_s2am_ard_3-2-1_52JDN_2024-01-16_final
2024-01-16 11:05:30	ga_s2am_ard_3-2-1_52JCN_2024-01-16_final
2024-01-16 11:05:31	ga_s2am_ard_3-2-1_52JFM_2024-01-16_final
2024-01-16 11:05:35	ga_s2am_ard_3-2-1_52JEM_2024-01-16_final
2024-01-16 11:05:37	ga_s2am_ard_3-2-1_52JDM_2024-01-16_final
2024-01-16 11:05:39	ga_s2am_ard_3-2-1_52JFM_2024-01-16_final
2024-01-16 11:05:39	ga_s2am_ard_3-2-1_52JCM_2024-01-16_final
2024-01-16 11:05:42	ga_s2am_ard_3-2-1_52JEM_2024-01-16_final
2024-01-16 11:05:44	ga_s2am_ard_3-2-1_52JDM_2024-01-16_final
2024-01-16 11:05:46	ga_s2am_ard_3-2-1_52JCM_2024-01-16_final
2024-01-16 11:05:51	ga_s2am_ard_3-2-1_52JBM_2024-01-16_final
2024-01-16 11:05:52	ga_s2am_ard_3-2-1_52JEL_2024-01-16_final
2024-01-16 11:05:56	ga_s2am_ard_3-2-1_52JDL_2024-01-16_final
2024-01-16 11:05:59	ga_s2am_ard_3-2-1_52JCL_2024-01-16_final
2024-01-16 11:06:02	ga_s2am_ard_3-2-1_52JBL_2024-01-16_final
2024-01-16 11:06:06	ga_s2am_ard_3-2-1_52HEK_2024-01-16_final
2024-01-16 11:06:10	ga_s2am_ard_3-2-1_52HDK_2024-01-16_final
2024-01-16 11:06:13	ga_s2am_ard_3-2-1_52HCK_2024-01-16_final
2024-01-16 11:06:16	ga_s2am_ard_3-2-1_52HBK_2024-01-16_final
2024-01-16 11:06:20	ga_s2am_ard_3-2-1_52HEJ_2024-01-16_nrt
2024-01-16 11:06:23	ga_s2am_ard_3-2-1_52HDJ_2024-01-16_nrt
2024-01-16 11:06:24	ga_s2am_ard_3-2-1_52HCJ_2024-01-16_nrt
2024-01-16 11:06:26	ga_s2am_ard_3-2-1_52HBJ_2024-01-16_final
2024-01-16 11:06:27	ga_s2am_ard_3-2-1_52HEH_2024-01-16_nrt
2024-01-17 10:29:31	ga_s2am_ard_3-2-1_54LXQ_2024-01-17_final
2024-01-17 10:29:35	ga_s2am_ard_3-2-1_54LWQ_2024-01-17_final
2024-01-17 10:29:46	ga_s2am_ard_3-2-1_54LXP_2024-01-17_final
2024-01-17 10:29:49	ga_s2am_ard_3-2-1_54LWP_2024-01-17_final
2024-01-17 10:29:53	ga_s2am_ard_3-2-1_54LVP_2024-01-17_nrt
2024-01-17 10:29:55	ga_s2am_ard_3-2-1_54LUP_2024-01-17_nrt
2024-01-17 10:29:59	ga_s2am_ard_3-2-1_54LXN_2024-01-17_final
2024-01-17 10:34:38	ga_s2am_ard_3-2-1_53JNL_2024-01-17_final
2024-01-17 10:34:38	ga_s2am_ard_3-2-1_53JNK_2024-01-17_final
2024-01-17 10:34:40	ga_s2am_ard_3-2-1_54JTQ_2024-01-17_final
2024-01-17 10:34:42	ga_s2am_ard_3-2-1_53JQK_2024-01-17_final
2024-01-17 10:34:44	ga_s2am_ard_3-2-1_53JPK_2024-01-17_final
2024-01-17 10:34:46	ga_s2am_ard_3-2-1_53JNK_2024-01-17_final
2024-01-17 10:34:49	ga_s2am_ard_3-2-1_54JTP_2024-01-17_final
2024-01-17 10:34:53	ga_s2am_ard_3-2-1_53JQJ_2024-01-17_final
2024-01-17 10:34:57	ga_s2am_ard_3-2-1_53JPJ_2024-01-17_final
2024-01-17 10:35:00	ga_s2am_ard_3-2-1_54JTN_2024-01-17_final
2024-01-17 10:35:01	ga_s2am_ard_3-2-1_53JNJ_2024-01-17_final
2024-01-17 10:35:07	ga_s2am_ard_3-2-1_53JMJ_2024-01-17_final
2024-01-17 10:35:07	ga_s2am_ard_3-2-1_53JQH_2024-01-17_final
2024-01-17 10:35:11	ga_s2am_ard_3-2-1_53JPH_2024-01-17_final
2024-01-17 10:35:15	ga_s2am_ard_3-2-1_53JNH_2024-01-17_final
2024-01-17 10:35:19	ga_s2am_ard_3-2-1_53JMH_2024-01-17_final
2024-01-17 10:35:22	ga_s2am_ard_3-2-1_53JQG_2024-01-17_final
2024-01-17 10:35:26	ga_s2am_ard_3-2-1_53JPG_2024-01-17_final
2024-01-17 10:35:29	ga_s2am_ard_3-2-1_53JNG_2024-01-17_final
2024-01-17 10:35:33	ga_s2am_ard_3-2-1_53JMG_2024-01-17_final
2024-01-17 10:35:36	ga_s2am_ard_3-2-1_53JQF_2024-01-17_final
2024-01-17 10:35:40	ga_s2am_ard_3-2-1_53JPF_2024-01-17_final
2024-01-17 10:35:44	ga_s2am_ard_3-2-1_53JNF_2024-01-17_final
2024-01-17 10:35:47	ga_s2am_ard_3-2-1_53JMF_2024-01-17_final
2024-01-17 10:35:48	ga_s2am_ard_3-2-1_53HQE_2024-01-17_final
2024-01-17 10:35:55	ga_s2am_ard_3-2-1_53HPE_2024-01-17_final
2024-01-17 10:35:59	ga_s2am_ard_3-2-1_53HNE_2024-01-17_final
2024-01-17 10:36:02	ga_s2am_ard_3-2-1_53HME_2024-01-17_final
2024-01-17 10:36:09	ga_s2am_ard_3-2-1_53HLE_2024-01-17_final
2024-01-17 10:36:09	ga_s2am_ard_3-2-1_53HPD_2024-01-17_final
2024-01-17 10:36:13	ga_s2am_ard_3-2-1_53HND_2024-01-17_final
2024-01-17 10:36:16	ga_s2am_ard_3-2-1_53HMD_2024-01-17_final
2024-01-17 10:36:20	ga_s2am_ard_3-2-1_53HLD_2024-01-17_final
2024-01-17 10:36:24	ga_s2am_ard_3-2-1_53HPC_2024-01-17_final
2024-01-17 10:36:27	ga_s2am_ard_3-2-1_53HNC_2024-01-17_final
2024-01-17 10:36:31	ga_s2am_ard_3-2-1_53HMC_2024-01-17_final
2024-01-17 10:36:34	ga_s2am_ard_3-2-1_53HLC_2024-01-17_final
2024-01-17 10:36:38	ga_s2am_ard_3-2-1_53HPB_2024-01-17_final
2024-01-17 10:36:42	ga_s2am_ard_3-2-1_53HNB_2024-01-17_final
2024-01-17 10:36:46	ga_s2am_ard_3-2-1_53HMB_2024-01-17_final
2024-01-17 10:36:49	ga_s2am_ard_3-2-1_53HLB_2024-01-17_nrt
2024-01-17 10:36:50	ga_s2am_ard_3-2-1_53HPA_2024-01-17_final
2024-01-17 10:36:54	ga_s2am_ard_3-2-1_53HNA_2024-01-17_final
2024-01-17 10:36:56	ga_s2am_ard_3-2-1_53HMA_2024-01-17_nrt

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years