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
2023-02-05 10:11:04	ga_s2am_ard_3-2-1_55LCD_2023-02-05_final.stac-item
2023-02-05 10:11:07	ga_s2am_ard_3-2-1_55LBD_2023-02-05_final.stac-item
2023-02-05 10:11:08	ga_s2am_ard_3-2-1_54LZJ_2023-02-05_final.stac-item
2023-02-05 10:11:21	ga_s2am_ard_3-2-1_55LBC_2023-02-05_final.stac-item
2023-02-05 10:11:23	ga_s2am_ard_3-2-1_54LZH_2023-02-05_final.stac-item
2023-02-05 10:11:36	ga_s2am_ard_3-2-1_55KBB_2023-02-05_final.stac-item
2023-02-05 10:11:37	ga_s2am_ard_3-2-1_54KZG_2023-02-05_final.stac-item
2023-02-05 10:11:51	ga_s2am_ard_3-2-1_55KBA_2023-02-05_final.stac-item
2023-02-05 10:11:52	ga_s2am_ard_3-2-1_54KZF_2023-02-05_final.stac-item
2023-02-08 10:21:39	ga_s2am_ard_3-2-1_54KXG_2023-02-08_final.stac-item
2023-02-08 10:21:43	ga_s2am_ard_3-2-1_54KWG_2023-02-08_final.stac-item
2023-02-08 10:21:54	ga_s2am_ard_3-2-1_54KXF_2023-02-08_final.stac-item
2023-02-08 10:21:57	ga_s2am_ard_3-2-1_54KWF_2023-02-08_final.stac-item
2023-02-08 10:22:12	ga_s2am_ard_3-2-1_54KWE_2023-02-08_final.stac-item
2023-02-10 11:00:42	ga_s2am_ard_3-2-1_53LKG_2023-02-10_final.stac-item
2023-02-10 11:00:43	ga_s2am_ard_3-2-1_52LHM_2023-02-10_final.stac-item
2023-02-15 10:11:20	ga_s2am_ard_3-2-1_55LBC_2023-02-15_final.stac-item
2023-02-15 10:12:18	ga_s2am_ard_3-2-1_55KBU_2023-02-15_final.stac-item
2023-02-18 10:23:11	ga_s2am_ard_3-2-1_54KVA_2023-02-18_final.stac-item
2023-02-23 11:10:26	ga_s2am_ard_3-2-1_52LGN_2023-02-23_final.stac-item
2023-02-23 11:10:59	ga_s2am_ard_3-2-1_52LFL_2023-02-23_final.stac-item
2023-02-23 11:11:13	ga_s2am_ard_3-2-1_52LFK_2023-02-23_final.stac-item
2023-02-23 11:11:28	ga_s2am_ard_3-2-1_52LFJ_2023-02-23_final.stac-item
2023-02-23 11:16:34	ga_s2am_ard_3-2-1_51HYD_2023-02-23_final.stac-item
2023-02-23 11:16:38	ga_s2am_ard_3-2-1_51HXD_2023-02-23_final.stac-item
2023-02-24 10:46:07	ga_s2am_ard_3-2-1_53HLE_2023-02-24_final.stac-item
2023-02-25 11:51:16	ga_s2am_ard_3-2-1_50LRL_2023-02-25_nrt.stac-item
2023-02-25 11:51:29	ga_s2am_ard_3-2-1_51LTE_2023-02-25_nrt.stac-item
2023-02-25 11:51:45	ga_s2am_ard_3-2-1_50LRJ_2023-02-25_nrt.stac-item
2023-02-25 11:51:48	ga_s2am_ard_3-2-1_50LQJ_2023-02-25_nrt.stac-item
2023-02-25 11:51:59	ga_s2am_ard_3-2-1_50LRH_2023-02-25_nrt.stac-item
2023-02-25 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-02-25_final.stac-item
2023-02-26 11:21:04	ga_s2am_ard_3-2-1_52LCL_2023-02-26_nrt.stac-item
2023-02-26 11:21:19	ga_s2am_ard_3-2-1_52LCK_2023-02-26_final.stac-item
2023-02-26 11:21:36	ga_s2am_ard_3-2-1_52LBJ_2023-02-26_final.stac-item
2023-02-26 11:22:20	ga_s2am_ard_3-2-1_52KBF_2023-02-26_final.stac-item
2023-03-01 11:30:20	ga_s2am_ard_3-2-1_51LZJ_2023-03-01_nrt.stac-item
2023-03-01 11:30:24	ga_s2am_ard_3-2-1_51LYJ_2023-03-01_nrt.stac-item
2023-03-01 11:30:35	ga_s2am_ard_3-2-1_51LZH_2023-03-01_nrt.stac-item
2023-03-01 11:30:38	ga_s2am_ard_3-2-1_51LYH_2023-03-01_nrt.stac-item
2023-03-01 11:31:40	ga_s2am_ard_3-2-1_51LXD_2023-03-01_final.stac-item
2023-03-02 11:00:26	ga_s2am_ard_3-2-1_53LKH_2023-03-02_final.stac-item
2023-03-02 11:00:37	ga_s2am_ard_3-2-1_53LLG_2023-03-02_final.stac-item
2023-03-02 11:00:56	ga_s2am_ard_3-2-1_52LHL_2023-03-02_final.stac-item
2023-03-02 11:01:58	ga_s2am_ard_3-2-1_52KGG_2023-03-02_final.stac-item
2023-03-02 11:02:27	ga_s2am_ard_3-2-1_52KGE_2023-03-02_final.stac-item
2023-03-03 10:32:29	ga_s2am_ard_3-2-1_54KTD_2023-03-03_final.stac-item
2023-03-03 10:32:30	ga_s2am_ard_3-2-1_53KRU_2023-03-03_final.stac-item
2023-03-04 10:02:48	ga_s2am_ard_3-2-1_55KCS_2023-03-04_final.stac-item
2023-03-04 11:42:13	ga_s2am_ard_3-2-1_51KUB_2023-03-04_final.stac-item
2023-03-04 11:42:28	ga_s2am_ard_3-2-1_51KUA_2023-03-04_final.stac-item
2023-03-06 10:40:33	ga_s2am_ard_3-2-1_53LQG_2023-03-06_final.stac-item
2023-03-06 10:41:16	ga_s2am_ard_3-2-1_53LQD_2023-03-06_final.stac-item
2023-03-06 10:41:34	ga_s2am_ard_3-2-1_53LPC_2023-03-06_final.stac-item
2023-03-06 10:41:45	ga_s2am_ard_3-2-1_53KQB_2023-03-06_final.stac-item
2023-03-07 10:13:33	ga_s2am_ard_3-2-1_54KYU_2023-03-07_final.stac-item
2023-03-07 11:51:00	ga_s2am_ard_3-2-1_50LRM_2023-03-07_nrt.stac-item
2023-03-22 09:28:07	ga_s2am_ard_3-2-1_56GLV_2023-03-21_nrt.stac-item
2023-03-25 11:10:16	ga_s2am_ard_3-2-1_52LFP_2023-03-25_nrt.stac-item
2023-03-25 11:16:18	ga_s2am_ard_3-2-1_52HBK_2023-03-25_final.stac-item
2023-03-25 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-03-25_final.stac-item
2023-03-25 11:16:25	ga_s2am_ard_3-2-1_51HXE_2023-03-25_final.stac-item
2023-03-25 11:16:35	ga_s2am_ard_3-2-1_51HYD_2023-03-25_final.stac-item
2023-03-25 11:16:50	ga_s2am_ard_3-2-1_51HYC_2023-03-25_nrt.stac-item
2023-03-27 10:15:39	ga_s2am_ard_3-2-1_54JWL_2023-03-27_final.stac-item
2023-03-27 10:16:11	ga_s2am_ard_3-2-1_54HVJ_2023-03-27_final.stac-item
2023-03-27 10:16:29	ga_s2am_ard_3-2-1_54HUH_2023-03-27_final.stac-item
2023-03-28 09:45:28	ga_s2am_ard_3-2-1_55JFF_2023-03-28_final.stac-item
2023-03-28 09:45:31	ga_s2am_ard_3-2-1_55JEF_2023-03-28_final.stac-item
2023-03-28 09:45:42	ga_s2am_ard_3-2-1_55HFE_2023-03-28_final.stac-item
2023-03-28 09:45:46	ga_s2am_ard_3-2-1_55HEE_2023-03-28_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-30_final.stac-item
2023-03-31 09:55:16	ga_s2am_ard_3-2-1_55JDG_2023-03-31_final.stac-item
2023-03-31 09:55:31	ga_s2am_ard_3-2-1_55JDF_2023-03-31_final.stac-item
2023-03-31 09:55:34	ga_s2am_ard_3-2-1_55JCF_2023-03-31_final.stac-item
2023-03-31 11:30:21	ga_s2am_ard_3-2-1_51LZJ_2023-03-31_nrt.stac-item
2023-03-31 11:30:24	ga_s2am_ard_3-2-1_51LYJ_2023-03-31_nrt.stac-item
2023-03-31 11:30:36	ga_s2am_ard_3-2-1_51LZH_2023-03-31_nrt.stac-item
2023-03-31 11:30:39	ga_s2am_ard_3-2-1_51LYH_2023-03-31_nrt.stac-item
2023-03-31 11:34:41	ga_s2am_ard_3-2-1_51JVM_2023-03-31_final.stac-item
2023-03-31 11:34:45	ga_s2am_ard_3-2-1_51JUM_2023-03-31_final.stac-item
2023-03-31 11:34:56	ga_s2am_ard_3-2-1_51JVL_2023-03-31_final.stac-item
2023-03-31 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-03-31_final.stac-item
2023-04-01 09:24:33	ga_s2am_ard_3-2-1_56JPP_2023-03-31_nrt.stac-item
2023-04-01 09:24:37	ga_s2am_ard_3-2-1_56JNP_2023-03-31_final.stac-item
2023-04-05 10:40:18	ga_s2am_ard_3-2-1_53LRH_2023-04-05_nrt.stac-item
2023-04-05 10:40:31	ga_s2am_ard_3-2-1_54LTM_2023-04-05_nrt.stac-item
2023-04-05 10:40:33	ga_s2am_ard_3-2-1_53LRG_2023-04-05_nrt.stac-item
2023-04-07 11:20:20	ga_s2am_ard_3-2-1_52LDP_2023-04-07_nrt.stac-item
2023-04-07 11:20:23	ga_s2am_ard_3-2-1_52LCP_2023-04-07_nrt.stac-item
2023-04-07 11:20:34	ga_s2am_ard_3-2-1_52LDN_2023-04-07_nrt.stac-item
2023-04-07 11:20:37	ga_s2am_ard_3-2-1_52LCN_2023-04-07_nrt.stac-item
2023-04-07 11:20:49	ga_s2am_ard_3-2-1_52LDM_2023-04-07_nrt.stac-item
2023-04-07 11:20:52	ga_s2am_ard_3-2-1_52LCM_2023-04-07_nrt.stac-item
2023-04-07 11:21:06	ga_s2am_ard_3-2-1_52LCL_2023-04-07_nrt.stac-item
2023-04-09 12:00:37	ga_s2am_ard_3-2-1_50LPP_2023-04-09_nrt.stac-item
2023-04-09 12:00:55	ga_s2am_ard_3-2-1_50LNN_2023-04-09_nrt.stac-item
2023-04-13 10:00:19	ga_s2am_ard_3-2-1_55LEG_2023-04-13_nrt.stac-item
2023-04-13 10:00:31	ga_s2am_ard_3-2-1_55LFF_2023-04-13_nrt.stac-item
2023-04-13 11:41:44	ga_s2am_ard_3-2-1_51LVD_2023-04-13_nrt.stac-item

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

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