Search ga_s2am_ard_3 on 26th January 2021

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
2021-01-26 10:13:56	ga_s2am_ard_3-2-1_54JXT_2021-01-26_final.stac-item
2021-01-26 10:14:00	ga_s2am_ard_3-2-1_54JWT_2021-01-26_final.stac-item
2021-01-26 10:14:06	ga_s2am_ard_3-2-1_54JVT_2021-01-26_final.stac-item
2021-01-26 10:14:07	ga_s2am_ard_3-2-1_54JYS_2021-01-26_final.stac-item
2021-01-26 10:14:11	ga_s2am_ard_3-2-1_54JXS_2021-01-26_final.stac-item
2021-01-26 10:14:14	ga_s2am_ard_3-2-1_54JWS_2021-01-26_final.stac-item
2021-01-26 10:14:18	ga_s2am_ard_3-2-1_54JVS_2021-01-26_final.stac-item
2021-01-26 10:14:21	ga_s2am_ard_3-2-1_54JYR_2021-01-26_final.stac-item
2021-01-26 10:14:25	ga_s2am_ard_3-2-1_54JXR_2021-01-26_final.stac-item
2021-01-26 10:14:28	ga_s2am_ard_3-2-1_54JWR_2021-01-26_final.stac-item
2021-01-26 10:14:32	ga_s2am_ard_3-2-1_54JVR_2021-01-26_final.stac-item
2021-01-26 10:14:35	ga_s2am_ard_3-2-1_54JYQ_2021-01-26_final.stac-item
2021-01-26 10:14:39	ga_s2am_ard_3-2-1_54JXQ_2021-01-26_final.stac-item
2021-01-26 10:14:43	ga_s2am_ard_3-2-1_54JWQ_2021-01-26_final.stac-item
2021-01-26 10:14:46	ga_s2am_ard_3-2-1_54JVQ_2021-01-26_final.stac-item
2021-01-26 10:14:48	ga_s2am_ard_3-2-1_54JYP_2021-01-26_final.stac-item
2021-01-26 10:14:54	ga_s2am_ard_3-2-1_54JXP_2021-01-26_final.stac-item
2021-01-26 10:14:58	ga_s2am_ard_3-2-1_54JWP_2021-01-26_final.stac-item
2021-01-26 10:14:58	ga_s2am_ard_3-2-1_54JYN_2021-01-26_final.stac-item
2021-01-26 10:15:01	ga_s2am_ard_3-2-1_54JVP_2021-01-26_final.stac-item
2021-01-26 10:15:08	ga_s2am_ard_3-2-1_54JUP_2021-01-26_final.stac-item
2021-01-26 10:15:08	ga_s2am_ard_3-2-1_54JXN_2021-01-26_final.stac-item
2021-01-26 10:15:12	ga_s2am_ard_3-2-1_54JWN_2021-01-26_final.stac-item
2021-01-26 10:15:15	ga_s2am_ard_3-2-1_54JVN_2021-01-26_final.stac-item
2021-01-26 10:15:19	ga_s2am_ard_3-2-1_54JUN_2021-01-26_final.stac-item
2021-01-26 10:15:23	ga_s2am_ard_3-2-1_54JXM_2021-01-26_final.stac-item
2021-01-26 10:15:27	ga_s2am_ard_3-2-1_54JWM_2021-01-26_final.stac-item
2021-01-26 10:15:30	ga_s2am_ard_3-2-1_54JVM_2021-01-26_final.stac-item
2021-01-26 10:15:33	ga_s2am_ard_3-2-1_54JUM_2021-01-26_final.stac-item
2021-01-26 10:15:37	ga_s2am_ard_3-2-1_54JXL_2021-01-26_final.stac-item
2021-01-26 10:15:41	ga_s2am_ard_3-2-1_54JWL_2021-01-26_final.stac-item
2021-01-26 10:15:45	ga_s2am_ard_3-2-1_54JVL_2021-01-26_final.stac-item
2021-01-26 10:15:48	ga_s2am_ard_3-2-1_54JUL_2021-01-26_final.stac-item
2021-01-26 10:15:50	ga_s2am_ard_3-2-1_54HXK_2021-01-26_final.stac-item
2021-01-26 10:15:55	ga_s2am_ard_3-2-1_54HWK_2021-01-26_final.stac-item
2021-01-26 10:15:59	ga_s2am_ard_3-2-1_54HVK_2021-01-26_final.stac-item
2021-01-26 10:16:00	ga_s2am_ard_3-2-1_54HXJ_2021-01-26_final.stac-item
2021-01-26 10:16:03	ga_s2am_ard_3-2-1_54HUK_2021-01-26_final.stac-item
2021-01-26 10:16:10	ga_s2am_ard_3-2-1_54HWJ_2021-01-26_final.stac-item
2021-01-26 10:16:14	ga_s2am_ard_3-2-1_54HVJ_2021-01-26_final.stac-item
2021-01-26 10:16:17	ga_s2am_ard_3-2-1_54HUJ_2021-01-26_final.stac-item
2021-01-26 10:16:21	ga_s2am_ard_3-2-1_54HTJ_2021-01-26_final.stac-item
2021-01-26 10:16:24	ga_s2am_ard_3-2-1_54HWH_2021-01-26_final.stac-item
2021-01-26 10:16:28	ga_s2am_ard_3-2-1_54HVH_2021-01-26_final.stac-item
2021-01-26 10:16:31	ga_s2am_ard_3-2-1_54HUH_2021-01-26_final.stac-item
2021-01-26 10:16:34	ga_s2am_ard_3-2-1_54HTH_2021-01-26_final.stac-item
2021-01-26 10:16:39	ga_s2am_ard_3-2-1_54HWG_2021-01-26_final.stac-item
2021-01-26 10:16:43	ga_s2am_ard_3-2-1_54HVG_2021-01-26_final.stac-item
2021-01-26 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-01-26_final.stac-item
2021-01-26 10:16:49	ga_s2am_ard_3-2-1_54HTG_2021-01-26_final.stac-item
2021-01-26 10:16:52	ga_s2am_ard_3-2-1_53HQB_2021-01-26_final.stac-item
2021-01-26 10:16:53	ga_s2am_ard_3-2-1_54HWF_2021-01-26_final.stac-item
2021-01-26 10:16:57	ga_s2am_ard_3-2-1_54HVF_2021-01-26_final.stac-item
2021-01-26 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-01-26_final.stac-item
2021-01-26 10:17:04	ga_s2am_ard_3-2-1_54HWE_2021-01-26_final.stac-item
2021-01-26 10:17:04	ga_s2am_ard_3-2-1_54HTF_2021-01-26_final.stac-item
2021-01-26 10:17:05	ga_s2am_ard_3-2-1_53HQA_2021-01-26_final.stac-item
2021-01-26 10:17:11	ga_s2am_ard_3-2-1_54HVE_2021-01-26_final.stac-item
2021-01-26 10:17:15	ga_s2am_ard_3-2-1_54HUE_2021-01-26_final
2021-01-26 10:17:18	ga_s2am_ard_3-2-1_54HTE_2021-01-26_final
2021-01-26 10:17:20	ga_s2am_ard_3-2-1_53HQV_2021-01-26_final
2021-01-26 10:17:26	ga_s2am_ard_3-2-1_54HVD_2021-01-26_final.stac-item
2021-01-26 10:17:30	ga_s2am_ard_3-2-1_54HUD_2021-01-26_final
2021-01-26 10:17:38	ga_s2am_ard_3-2-1_54HVC_2021-01-26_final
2021-01-26 11:51:14	ga_s2am_ard_3-2-1_51LUF_2021-01-26_final.stac-item
2021-01-26 11:51:21	ga_s2am_ard_3-2-1_51LUF_2021-01-26_final.stac-item
2021-01-26 11:51:21	ga_s2am_ard_3-2-1_51LUE_2021-01-26_final.stac-item
2021-01-26 11:51:27	ga_s2am_ard_3-2-1_51LUE_2021-01-26_final.stac-item
2021-01-26 11:51:39	ga_s2am_ard_3-2-1_51LUD_2021-01-26_final
2021-01-26 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-01-26_final
2021-01-26 11:52:35	ga_s2am_ard_3-2-1_50KQF_2021-01-26_final
2021-01-26 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-01-26_final
2021-01-26 11:52:49	ga_s2am_ard_3-2-1_50KQE_2021-01-26_final
2021-01-26 11:52:54	ga_s2am_ard_3-2-1_51KTU_2021-01-26_final.stac-item
2021-01-26 11:52:59	ga_s2am_ard_3-2-1_50KRD_2021-01-26_final.stac-item
2021-01-26 11:53:03	ga_s2am_ard_3-2-1_50KQD_2021-01-26_final
2021-01-26 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-01-26_final
2021-01-26 11:53:11	ga_s2am_ard_3-2-1_50KRC_2021-01-26_final.stac-item
2021-01-26 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-01-26_final.stac-item
2021-01-26 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-01-26_final.stac-item
2021-01-26 11:53:25	ga_s2am_ard_3-2-1_50KNC_2021-01-26_final.stac-item
2021-01-26 11:53:31	ga_s2am_ard_3-2-1_50KMC_2021-01-26_final.stac-item
2021-01-26 11:53:32	ga_s2am_ard_3-2-1_50KQB_2021-01-26_final.stac-item
2021-01-26 11:53:36	ga_s2am_ard_3-2-1_50KPB_2021-01-26_final.stac-item
2021-01-26 11:53:39	ga_s2am_ard_3-2-1_50KNB_2021-01-26_final.stac-item
2021-01-26 11:53:43	ga_s2am_ard_3-2-1_50KMB_2021-01-26_final.stac-item
2021-01-26 11:53:47	ga_s2am_ard_3-2-1_50KQA_2021-01-26_final.stac-item
2021-01-26 11:53:50	ga_s2am_ard_3-2-1_50KPA_2021-01-26_final.stac-item
2021-01-26 11:53:54	ga_s2am_ard_3-2-1_50KNA_2021-01-26_final.stac-item
2021-01-26 11:53:57	ga_s2am_ard_3-2-1_50KMA_2021-01-26_final.stac-item
2021-01-26 11:54:01	ga_s2am_ard_3-2-1_50KQV_2021-01-26_final.stac-item
2021-01-26 11:54:05	ga_s2am_ard_3-2-1_50KPV_2021-01-26_final.stac-item
2021-01-26 11:54:08	ga_s2am_ard_3-2-1_50KNV_2021-01-26_final.stac-item
2021-01-26 11:54:12	ga_s2am_ard_3-2-1_50KMV_2021-01-26_final.stac-item
2021-01-26 11:54:13	ga_s2am_ard_3-2-1_50KQU_2021-01-26_final.stac-item
2021-01-26 11:54:19	ga_s2am_ard_3-2-1_50KPU_2021-01-26_final.stac-item
2021-01-26 11:54:23	ga_s2am_ard_3-2-1_50KNU_2021-01-26_final.stac-item
2021-01-26 11:54:23	ga_s2am_ard_3-2-1_50JQT_2021-01-26_final.stac-item
2021-01-26 11:54:26	ga_s2am_ard_3-2-1_50KMU_2021-01-26_final.stac-item
2021-01-26 11:54:34	ga_s2am_ard_3-2-1_50KLU_2021-01-26_final.stac-item

Return to ga_s2am_ard_3 on 26th January 2021 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

2021

January

26th