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
2024-04-02 10:55:11	ga_s2am_ard_3-2-1_52JGP_2024-04-02_final
2024-04-02 10:55:13	ga_s2am_ard_3-2-1_53JLH_2024-04-02_final
2024-04-02 10:55:15	ga_s2am_ard_3-2-1_52JFP_2024-04-02_final
2024-04-02 10:55:20	ga_s2am_ard_3-2-1_52JEP_2024-04-02_final
2024-04-02 10:55:23	ga_s2am_ard_3-2-1_53JKH_2024-04-02_final
2024-04-02 10:55:26	ga_s2am_ard_3-2-1_52JGN_2024-04-02_final
2024-04-02 10:55:29	ga_s2am_ard_3-2-1_52JFN_2024-04-02_final
2024-04-02 10:55:33	ga_s2am_ard_3-2-1_52JEN_2024-04-02_final
2024-04-02 10:55:37	ga_s2am_ard_3-2-1_53JKG_2024-04-02_final
2024-04-02 10:55:40	ga_s2am_ard_3-2-1_52JGM_2024-04-02_final
2024-04-02 10:55:44	ga_s2am_ard_3-2-1_52JFM_2024-04-02_final
2024-04-02 10:55:47	ga_s2am_ard_3-2-1_52JEM_2024-04-02_final
2024-04-02 10:55:52	ga_s2am_ard_3-2-1_53JKF_2024-04-02_final
2024-04-02 10:55:55	ga_s2am_ard_3-2-1_52JGL_2024-04-02_final
2024-04-02 10:55:58	ga_s2am_ard_3-2-1_52JFL_2024-04-02_final
2024-04-02 10:56:02	ga_s2am_ard_3-2-1_52JEL_2024-04-02_final
2024-04-02 10:56:06	ga_s2am_ard_3-2-1_53HKE_2024-04-02_final
2024-04-02 10:56:09	ga_s2am_ard_3-2-1_52HGK_2024-04-02_final
2024-04-02 10:56:13	ga_s2am_ard_3-2-1_52HFK_2024-04-02_final
2024-04-02 10:56:16	ga_s2am_ard_3-2-1_52HEK_2024-04-02_final
2024-04-02 10:56:18	ga_s2am_ard_3-2-1_53HKD_2024-04-02_final
2024-04-02 10:56:20	ga_s2am_ard_3-2-1_52HGJ_2024-04-02_nrt
2024-04-02 10:56:21	ga_s2am_ard_3-2-1_52HDK_2024-04-02_final
2024-04-02 10:56:22	ga_s2am_ard_3-2-1_52HFJ_2024-04-02_nrt
2024-04-02 10:56:24	ga_s2am_ard_3-2-1_52HEJ_2024-04-02_nrt
2024-04-02 10:56:26	ga_s2am_ard_3-2-1_52HDJ_2024-04-02_nrt
2024-04-02 14:23:32	ga_s2am_ard_3-2-1_43FDB_2024-04-02_final
2024-04-02 14:23:34	ga_s2am_ard_3-2-1_42FYG_2024-04-02_final
2024-04-02 14:23:34	ga_s2am_ard_3-2-1_43FCB_2024-04-02_final
2024-04-02 14:23:40	ga_s2am_ard_3-2-1_42FYF_2024-04-02_final
2024-04-03 10:19:21	ga_s2am_ard_3-2-1_54LZR_2024-04-03_final
2024-04-03 10:19:33	ga_s2am_ard_3-2-1_55LBK_2024-04-03_final
2024-04-03 10:19:36	ga_s2am_ard_3-2-1_54LZQ_2024-04-03_final
2024-04-03 10:19:39	ga_s2am_ard_3-2-1_54LYQ_2024-04-03_final
2024-04-03 10:19:42	ga_s2am_ard_3-2-1_54LXQ_2024-04-03_final
2024-04-03 10:19:48	ga_s2am_ard_3-2-1_55LBJ_2024-04-03_final
2024-04-03 10:19:50	ga_s2am_ard_3-2-1_54LZP_2024-04-03_final
2024-04-03 10:19:53	ga_s2am_ard_3-2-1_54LYP_2024-04-03_final
2024-04-03 10:19:57	ga_s2am_ard_3-2-1_54LXP_2024-04-03_final
2024-04-03 10:20:03	ga_s2am_ard_3-2-1_55LBH_2024-04-03_nrt
2024-04-03 10:20:04	ga_s2am_ard_3-2-1_54LZN_2024-04-03_final
2024-04-03 10:20:08	ga_s2am_ard_3-2-1_54LYN_2024-04-03_final
2024-04-03 10:20:11	ga_s2am_ard_3-2-1_54LXN_2024-04-03_final
2024-04-03 10:20:16	ga_s2am_ard_3-2-1_54LWN_2024-04-03_final
2024-04-03 10:20:16	ga_s2am_ard_3-2-1_55LBG_2024-04-03_final
2024-04-03 10:20:19	ga_s2am_ard_3-2-1_54LZM_2024-04-03_final
2024-04-03 10:20:22	ga_s2am_ard_3-2-1_54LYM_2024-04-03_final
2024-04-03 10:20:26	ga_s2am_ard_3-2-1_54LXM_2024-04-03_final
2024-04-03 10:20:27	ga_s2am_ard_3-2-1_55LBF_2024-04-03_final
2024-04-03 10:20:29	ga_s2am_ard_3-2-1_54LWM_2024-04-03_final
2024-04-03 10:20:33	ga_s2am_ard_3-2-1_54LZL_2024-04-03_final
2024-04-03 10:20:37	ga_s2am_ard_3-2-1_54LYL_2024-04-03_final
2024-04-03 10:20:40	ga_s2am_ard_3-2-1_54LXL_2024-04-03_final
2024-04-03 10:23:09	ga_s2am_ard_3-2-1_54KWA_2024-04-03_final
2024-04-03 10:23:12	ga_s2am_ard_3-2-1_54KVA_2024-04-03_final
2024-04-03 10:23:15	ga_s2am_ard_3-2-1_54KXV_2024-04-03_final
2024-04-03 10:23:15	ga_s2am_ard_3-2-1_54KUA_2024-04-03_final
2024-04-03 10:23:27	ga_s2am_ard_3-2-1_54KVV_2024-04-03_final
2024-04-03 10:23:30	ga_s2am_ard_3-2-1_54KUV_2024-04-03_final
2024-04-03 10:23:35	ga_s2am_ard_3-2-1_54KTV_2024-04-03_final
2024-04-03 10:23:41	ga_s2am_ard_3-2-1_54KVU_2024-04-03_final
2024-04-03 10:23:44	ga_s2am_ard_3-2-1_54KUU_2024-04-03_final
2024-04-03 10:23:48	ga_s2am_ard_3-2-1_54KTU_2024-04-03_final
2024-04-03 10:23:48	ga_s2am_ard_3-2-1_53KRP_2024-04-03_final
2024-04-03 10:23:52	ga_s2am_ard_3-2-1_54JWT_2024-04-03_final
2024-04-03 10:23:56	ga_s2am_ard_3-2-1_54JVT_2024-04-03_final
2024-04-03 10:24:02	ga_s2am_ard_3-2-1_53JRN_2024-04-03_final
2024-04-03 10:24:02	ga_s2am_ard_3-2-1_54JTT_2024-04-03_final
2024-04-03 10:24:06	ga_s2am_ard_3-2-1_54JWS_2024-04-03_final
2024-04-03 10:24:10	ga_s2am_ard_3-2-1_54JVS_2024-04-03_final
2024-04-03 10:24:16	ga_s2am_ard_3-2-1_53JRM_2024-04-03_final
2024-04-03 10:24:17	ga_s2am_ard_3-2-1_54JTS_2024-04-03_final
2024-04-03 10:24:19	ga_s2am_ard_3-2-1_54JWR_2024-04-03_final
2024-04-03 10:24:25	ga_s2am_ard_3-2-1_54JVR_2024-04-03_final
2024-04-03 10:24:29	ga_s2am_ard_3-2-1_54JWQ_2024-04-03_final
2024-04-03 10:24:31	ga_s2am_ard_3-2-1_54JTR_2024-04-03_final
2024-04-03 10:26:25	ga_s2am_ard_3-2-1_54HUH_2024-04-03_final
2024-04-03 10:26:28	ga_s2am_ard_3-2-1_54HTH_2024-04-03_final
2024-04-03 10:26:30	ga_s2am_ard_3-2-1_53HQC_2024-04-03_final
2024-04-03 10:26:34	ga_s2am_ard_3-2-1_53HPC_2024-04-03_final
2024-04-03 10:26:38	ga_s2am_ard_3-2-1_54HUG_2024-04-03_final
2024-04-03 10:26:38	ga_s2am_ard_3-2-1_53HNC_2024-04-03_final
2024-04-03 10:26:42	ga_s2am_ard_3-2-1_54HTG_2024-04-03_final
2024-04-03 10:26:44	ga_s2am_ard_3-2-1_53HQB_2024-04-03_final
2024-04-03 10:26:48	ga_s2am_ard_3-2-1_53HPB_2024-04-03_final
2024-04-03 10:26:49	ga_s2am_ard_3-2-1_54HUF_2024-04-03_final
2024-04-03 10:26:52	ga_s2am_ard_3-2-1_53HNB_2024-04-03_final
2024-04-03 10:26:56	ga_s2am_ard_3-2-1_54HTF_2024-04-03_final
2024-04-03 10:26:57	ga_s2am_ard_3-2-1_53HQA_2024-04-03_final
2024-04-03 10:26:59	ga_s2am_ard_3-2-1_53HPA_2024-04-03_final
2024-04-03 10:27:01	ga_s2am_ard_3-2-1_53HNA_2024-04-03_final
2024-04-03 10:27:03	ga_s2am_ard_3-2-1_54HTE_2024-04-03_final
2024-04-03 10:27:03	ga_s2am_ard_3-2-1_54HTF_2024-04-03_final
2024-04-03 10:27:04	ga_s2am_ard_3-2-1_53HQV_2024-04-03_final
2024-04-03 10:27:04	ga_s2am_ard_3-2-1_53HQA_2024-04-03_final
2024-04-03 10:27:06	ga_s2am_ard_3-2-1_53HPA_2024-04-03_final
2024-04-03 10:27:08	ga_s2am_ard_3-2-1_53HNA_2024-04-03_final
2024-04-03 10:27:09	ga_s2am_ard_3-2-1_54HTE_2024-04-03_final
2024-04-03 10:27:10	ga_s2am_ard_3-2-1_53HQV_2024-04-03_final
2024-04-03 10:27:12	ga_s2am_ard_3-2-1_53HPV_2024-04-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years