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
2024-02-23 10:19:50	ga_s2am_ard_3-2-1_54LZP_2024-02-23_final
2024-02-23 10:20:58	ga_s2am_ard_3-2-1_54LWK_2024-02-23_final
2024-02-23 10:22:58	ga_s2am_ard_3-2-1_54KVB_2024-02-23_final
2024-02-23 10:25:41	ga_s2am_ard_3-2-1_54JUL_2024-02-23_final
2024-02-23 10:27:10	ga_s2am_ard_3-2-1_53HQV_2024-02-23_final
2024-02-23 12:03:21	ga_s2am_ard_3-2-1_50KMC_2024-02-23_final
2024-02-23 12:03:57	ga_s2am_ard_3-2-1_49KHR_2024-02-23_final
2024-02-23 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-23_final
2024-02-23 12:05:06	ga_s2am_ard_3-2-1_50JLR_2024-02-23_final
2024-02-23 12:05:13	ga_s2am_ard_3-2-1_49JGL_2024-02-23_final
2024-02-23 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2024-02-23_final
2024-02-23 12:05:35	ga_s2am_ard_3-2-1_50JLP_2024-02-23_final
2024-02-23 12:06:12	ga_s2am_ard_3-2-1_50JLL_2024-02-23_final
2024-02-24 09:58:22	ga_s2am_ard_3-2-1_55GCP_2024-02-24_final
2024-02-24 11:34:16	ga_s2am_ard_3-2-1_51KUP_2024-02-24_final
2024-02-24 11:34:27	ga_s2am_ard_3-2-1_51JVN_2024-02-24_final
2024-02-24 11:34:38	ga_s2am_ard_3-2-1_51JWM_2024-02-24_final
2024-02-24 11:34:47	ga_s2am_ard_3-2-1_50JRS_2024-02-24_final
2024-02-24 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2024-02-24_final
2024-02-24 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2024-02-24_final
2024-02-24 11:35:35	ga_s2am_ard_3-2-1_50JQP_2024-02-24_final
2024-02-24 11:35:58	ga_s2am_ard_3-2-1_51JUG_2024-02-24_final
2024-02-24 11:37:10	ga_s2am_ard_3-2-1_51HUB_2024-02-24_final
2024-02-24 11:37:22	ga_s2am_ard_3-2-1_51HTB_2024-02-24_final
2024-02-24 11:37:27	ga_s2am_ard_3-2-1_50HNG_2024-02-24_final
2024-02-25 11:00:29	ga_s2am_ard_3-2-1_52LHN_2024-02-25_final
2024-02-25 11:00:35	ga_s2am_ard_3-2-1_53LMG_2024-02-25_final
2024-02-25 11:00:39	ga_s2am_ard_3-2-1_53LLG_2024-02-25_final
2024-02-25 11:01:54	ga_s2am_ard_3-2-1_53KKB_2024-02-25_final
2024-02-25 11:04:17	ga_s2am_ard_3-2-1_52JET_2024-02-25_final
2024-02-25 11:06:35	ga_s2am_ard_3-2-1_51HYD_2024-02-25_final
2024-02-26 10:30:11	ga_s2am_ard_3-2-1_54LWN_2024-02-26_final
2024-02-26 10:31:59	ga_s2am_ard_3-2-1_54KUF_2024-02-26_final
2024-02-26 10:32:14	ga_s2am_ard_3-2-1_54KUE_2024-02-26_final
2024-02-26 10:33:16	ga_s2am_ard_3-2-1_53KRR_2024-02-26_final
2024-02-26 10:33:30	ga_s2am_ard_3-2-1_53KRQ_2024-02-26_final
2024-02-26 10:34:17	ga_s2am_ard_3-2-1_53JQM_2024-02-26_final
2024-02-26 12:14:44	ga_s2am_ard_3-2-1_49JFN_2024-02-26_final
2024-02-27 10:03:55	ga_s2am_ard_3-2-1_54JYT_2024-02-27_final
2024-02-27 10:04:57	ga_s2am_ard_3-2-1_54JXP_2024-02-27_final
2024-02-27 11:41:00	ga_s2am_ard_3-2-1_51LVG_2024-02-27_final
2024-02-27 11:41:29	ga_s2am_ard_3-2-1_51LVE_2024-02-27_final
2024-02-27 11:43:32	ga_s2am_ard_3-2-1_51KTS_2024-02-27_final
2024-02-27 11:44:01	ga_s2am_ard_3-2-1_50KRV_2024-02-27_final
2024-02-27 11:44:15	ga_s2am_ard_3-2-1_50KRU_2024-02-27_final
2024-02-27 11:44:37	ga_s2am_ard_3-2-1_50JPT_2024-02-27_final
2024-02-27 11:44:40	ga_s2am_ard_3-2-1_51JUM_2024-02-27_final
2024-02-27 11:45:11	ga_s2am_ard_3-2-1_50JNR_2024-02-27_final
2024-02-27 11:45:35	ga_s2am_ard_3-2-1_50JPP_2024-02-27_final
2024-02-27 11:45:38	ga_s2am_ard_3-2-1_50JNP_2024-02-27_final
2024-02-27 11:46:22	ga_s2am_ard_3-2-1_50JNL_2024-02-27_final
2024-02-27 11:47:01	ga_s2am_ard_3-2-1_50HPH_2024-02-27_final
2024-02-28 09:38:05	ga_s2am_ard_3-2-1_55GDR_2024-02-28_final
2024-02-28 09:38:16	ga_s2am_ard_3-2-1_55GEQ_2024-02-28_final
2024-02-28 09:38:19	ga_s2am_ard_3-2-1_55GDQ_2024-02-28_final
2024-02-28 09:38:40	ga_s2am_ard_3-2-1_55GCP_2024-02-28_final
2024-02-28 11:10:24	ga_s2am_ard_3-2-1_52LHN_2024-02-28_final
2024-02-28 11:10:28	ga_s2am_ard_3-2-1_52LGN_2024-02-28_final
2024-02-28 11:10:43	ga_s2am_ard_3-2-1_52LGM_2024-02-28_final
2024-02-28 11:11:15	ga_s2am_ard_3-2-1_52LFK_2024-02-28_final
2024-02-28 11:11:30	ga_s2am_ard_3-2-1_52LFJ_2024-02-28_final
2024-02-28 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2024-02-28_final
2024-02-28 11:11:58	ga_s2am_ard_3-2-1_52KFG_2024-02-28_final
2024-02-28 11:12:10	ga_s2am_ard_3-2-1_52KCG_2024-02-28_final
2024-02-28 11:12:20	ga_s2am_ard_3-2-1_52KDF_2024-02-28_final
2024-02-28 11:12:23	ga_s2am_ard_3-2-1_52KCF_2024-02-28_final
2024-02-28 11:12:35	ga_s2am_ard_3-2-1_52KDE_2024-02-28_final
2024-02-28 11:12:41	ga_s2am_ard_3-2-1_52KFD_2024-02-28_final
2024-02-28 11:12:46	ga_s2am_ard_3-2-1_52KED_2024-02-28_final
2024-02-28 11:13:21	ga_s2am_ard_3-2-1_52KCB_2024-02-28_final
2024-02-28 11:13:25	ga_s2am_ard_3-2-1_52KBB_2024-02-28_final
2024-02-28 11:13:29	ga_s2am_ard_3-2-1_52KEA_2024-02-28_final
2024-02-28 11:13:44	ga_s2am_ard_3-2-1_52KEV_2024-02-28_final
2024-02-28 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2024-02-28_final
2024-02-28 11:14:07	ga_s2am_ard_3-2-1_52JET_2024-02-28_final
2024-02-28 11:14:08	ga_s2am_ard_3-2-1_52KBU_2024-02-28_final
2024-02-28 11:14:16	ga_s2am_ard_3-2-1_52JDT_2024-02-28_final
2024-02-28 11:14:23	ga_s2am_ard_3-2-1_52JBT_2024-02-28_final
2024-02-28 11:14:37	ga_s2am_ard_3-2-1_52JBS_2024-02-28_final
2024-02-28 11:14:41	ga_s2am_ard_3-2-1_51JYM_2024-02-28_final
2024-02-28 11:14:49	ga_s2am_ard_3-2-1_52JCR_2024-02-28_final
2024-02-28 11:14:55	ga_s2am_ard_3-2-1_51JYL_2024-02-28_final
2024-02-28 11:14:59	ga_s2am_ard_3-2-1_52JDQ_2024-02-28_final
2024-02-28 11:15:03	ga_s2am_ard_3-2-1_52JCQ_2024-02-28_final
2024-02-28 11:15:10	ga_s2am_ard_3-2-1_52JCQ_2024-02-28_final
2024-02-28 11:15:29	ga_s2am_ard_3-2-1_51JXJ_2024-02-28_final
2024-02-28 11:15:42	ga_s2am_ard_3-2-1_51JXH_2024-02-28_final
2024-02-28 11:15:57	ga_s2am_ard_3-2-1_51JXG_2024-02-28_final
2024-02-28 11:16:07	ga_s2am_ard_3-2-1_51JYF_2024-02-28_final
2024-02-28 11:16:11	ga_s2am_ard_3-2-1_51JXF_2024-02-28_final
2024-02-28 11:16:19	ga_s2am_ard_3-2-1_51JWF_2024-02-28_final
2024-02-28 11:16:22	ga_s2am_ard_3-2-1_51HYE_2024-02-28_final
2024-02-28 11:16:26	ga_s2am_ard_3-2-1_51HXE_2024-02-28_final
2024-02-28 11:16:30	ga_s2am_ard_3-2-1_51HWE_2024-02-28_final
2024-02-28 11:16:36	ga_s2am_ard_3-2-1_51HYD_2024-02-28_final
2024-02-28 11:16:55	ga_s2am_ard_3-2-1_51HXC_2024-02-28_final
2024-02-28 11:16:58	ga_s2am_ard_3-2-1_51HWC_2024-02-28_final
2024-02-28 11:17:04	ga_s2am_ard_3-2-1_51HXB_2024-02-28_final
2024-02-28 11:17:05	ga_s2am_ard_3-2-1_51HWB_2024-02-28_final
2024-03-08 11:42:08	ga_s2am_ard_3-2-1_50LRH_2024-03-08_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