Search ga_s2am_ard_3 on 29th May 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
2021-05-29 10:21:48	ga_s2am_ard_3-2-1_54KVG_2021-05-29_final.stac-item
2021-05-29 10:22:02	ga_s2am_ard_3-2-1_54KVF_2021-05-29_final.stac-item
2021-05-29 10:22:17	ga_s2am_ard_3-2-1_54KVE_2021-05-29_final.stac-item
2021-05-29 10:22:24	ga_s2am_ard_3-2-1_54KUE_2021-05-29_final.stac-item
2021-05-29 10:22:31	ga_s2am_ard_3-2-1_54KVD_2021-05-29_final.stac-item
2021-05-29 10:22:35	ga_s2am_ard_3-2-1_54KUD_2021-05-29_final.stac-item
2021-05-29 10:22:46	ga_s2am_ard_3-2-1_54KVC_2021-05-29_final.stac-item
2021-05-29 10:22:49	ga_s2am_ard_3-2-1_54KUC_2021-05-29_final.stac-item
2021-05-29 10:23:01	ga_s2am_ard_3-2-1_54KVB_2021-05-29_final.stac-item
2021-05-29 10:23:04	ga_s2am_ard_3-2-1_54KUB_2021-05-29_final.stac-item
2021-05-29 10:23:12	ga_s2am_ard_3-2-1_54KWA_2021-05-29_final.stac-item
2021-05-29 10:23:15	ga_s2am_ard_3-2-1_54KVA_2021-05-29_final.stac-item
2021-05-29 10:23:18	ga_s2am_ard_3-2-1_54KUA_2021-05-29_final.stac-item
2021-05-29 10:23:30	ga_s2am_ard_3-2-1_54KVV_2021-05-29_final.stac-item
2021-05-29 10:23:33	ga_s2am_ard_3-2-1_54KUV_2021-05-29_final.stac-item
2021-05-29 10:23:38	ga_s2am_ard_3-2-1_54KTV_2021-05-29_final.stac-item
2021-05-29 10:23:44	ga_s2am_ard_3-2-1_54KVU_2021-05-29_final.stac-item
2021-05-29 10:23:47	ga_s2am_ard_3-2-1_54KUU_2021-05-29_final.stac-item
2021-05-29 10:23:51	ga_s2am_ard_3-2-1_54KTU_2021-05-29_final.stac-item
2021-05-29 10:23:55	ga_s2am_ard_3-2-1_54JWT_2021-05-29_final.stac-item
2021-05-29 10:23:59	ga_s2am_ard_3-2-1_54JVT_2021-05-29_final.stac-item
2021-05-29 10:24:02	ga_s2am_ard_3-2-1_54JUT_2021-05-29_final.stac-item
2021-05-29 10:24:05	ga_s2am_ard_3-2-1_54JTT_2021-05-29_final.stac-item
2021-05-29 10:24:09	ga_s2am_ard_3-2-1_54JWS_2021-05-29_final.stac-item
2021-05-29 10:24:13	ga_s2am_ard_3-2-1_54JVS_2021-05-29_final.stac-item
2021-05-29 10:24:17	ga_s2am_ard_3-2-1_54JUS_2021-05-29_final.stac-item
2021-05-29 10:24:20	ga_s2am_ard_3-2-1_54JTS_2021-05-29_final.stac-item
2021-05-29 10:24:22	ga_s2am_ard_3-2-1_54JWR_2021-05-29_final.stac-item
2021-05-29 10:24:28	ga_s2am_ard_3-2-1_54JVR_2021-05-29_final.stac-item
2021-05-29 10:24:31	ga_s2am_ard_3-2-1_54JUR_2021-05-29_final.stac-item
2021-05-29 10:24:34	ga_s2am_ard_3-2-1_54JTR_2021-05-29_final.stac-item
2021-05-29 10:24:41	ga_s2am_ard_3-2-1_53JQL_2021-05-29_final.stac-item
2021-05-29 10:24:42	ga_s2am_ard_3-2-1_54JVQ_2021-05-29_final.stac-item
2021-05-29 10:24:46	ga_s2am_ard_3-2-1_54JUQ_2021-05-29_final.stac-item
2021-05-29 10:24:49	ga_s2am_ard_3-2-1_54JTQ_2021-05-29_final.stac-item
2021-05-29 10:24:52	ga_s2am_ard_3-2-1_53JQK_2021-05-29_final.stac-item
2021-05-29 10:24:57	ga_s2am_ard_3-2-1_54JVP_2021-05-29_final.stac-item
2021-05-29 10:25:00	ga_s2am_ard_3-2-1_54JUP_2021-05-29_final.stac-item
2021-05-29 10:25:03	ga_s2am_ard_3-2-1_54JTP_2021-05-29_final.stac-item
2021-05-29 10:25:06	ga_s2am_ard_3-2-1_53JQJ_2021-05-29_final.stac-item
2021-05-29 10:25:11	ga_s2am_ard_3-2-1_54JVN_2021-05-29_final.stac-item
2021-05-29 10:25:15	ga_s2am_ard_3-2-1_54JUN_2021-05-29_final.stac-item
2021-05-29 10:25:18	ga_s2am_ard_3-2-1_54JTN_2021-05-29_final.stac-item
2021-05-29 10:25:21	ga_s2am_ard_3-2-1_53JQH_2021-05-29_final.stac-item
2021-05-29 10:25:25	ga_s2am_ard_3-2-1_54JVM_2021-05-29_final.stac-item
2021-05-29 10:25:29	ga_s2am_ard_3-2-1_54JUM_2021-05-29_final.stac-item
2021-05-29 10:25:33	ga_s2am_ard_3-2-1_54JTM_2021-05-29_final.stac-item
2021-05-29 10:25:35	ga_s2am_ard_3-2-1_53JQG_2021-05-29_final.stac-item
2021-05-29 10:25:36	ga_s2am_ard_3-2-1_54JVL_2021-05-29_final.stac-item
2021-05-29 10:25:41	ga_s2am_ard_3-2-1_53JPG_2021-05-29_final.stac-item
2021-05-29 10:25:44	ga_s2am_ard_3-2-1_54JUL_2021-05-29_final.stac-item
2021-05-29 10:25:47	ga_s2am_ard_3-2-1_54JTL_2021-05-29_final.stac-item
2021-05-29 10:25:50	ga_s2am_ard_3-2-1_53JQF_2021-05-29_final.stac-item
2021-05-29 10:25:53	ga_s2am_ard_3-2-1_53JPF_2021-05-29_final.stac-item
2021-05-29 10:25:58	ga_s2am_ard_3-2-1_54HUK_2021-05-29_final.stac-item
2021-05-29 10:26:02	ga_s2am_ard_3-2-1_54HTK_2021-05-29_final.stac-item
2021-05-29 10:26:04	ga_s2am_ard_3-2-1_53HQE_2021-05-29_final.stac-item
2021-05-29 10:26:08	ga_s2am_ard_3-2-1_53HPE_2021-05-29_final.stac-item
2021-05-29 10:26:13	ga_s2am_ard_3-2-1_54HUJ_2021-05-29_final.stac-item
2021-05-29 10:26:16	ga_s2am_ard_3-2-1_54HTJ_2021-05-29_final.stac-item
2021-05-29 10:26:18	ga_s2am_ard_3-2-1_53HQD_2021-05-29_final.stac-item
2021-05-29 10:26:22	ga_s2am_ard_3-2-1_53HPD_2021-05-29_final.stac-item
2021-05-29 10:26:28	ga_s2am_ard_3-2-1_54HUH_2021-05-29_final.stac-item
2021-05-29 10:26:31	ga_s2am_ard_3-2-1_54HTH_2021-05-29_final.stac-item
2021-05-29 10:26:33	ga_s2am_ard_3-2-1_53HQC_2021-05-29_final.stac-item
2021-05-29 10:26:37	ga_s2am_ard_3-2-1_53HPC_2021-05-29_final.stac-item
2021-05-29 10:26:41	ga_s2am_ard_3-2-1_54HUG_2021-05-29_final.stac-item
2021-05-29 10:26:41	ga_s2am_ard_3-2-1_53HNC_2021-05-29_final.stac-item
2021-05-29 10:26:45	ga_s2am_ard_3-2-1_54HTG_2021-05-29_final.stac-item
2021-05-29 10:26:47	ga_s2am_ard_3-2-1_53HQB_2021-05-29_final.stac-item
2021-05-29 10:26:51	ga_s2am_ard_3-2-1_53HPB_2021-05-29_final.stac-item
2021-05-29 10:26:52	ga_s2am_ard_3-2-1_54HUF_2021-05-29_final.stac-item
2021-05-29 10:26:55	ga_s2am_ard_3-2-1_53HNB_2021-05-29_final.stac-item
2021-05-29 10:27:00	ga_s2am_ard_3-2-1_54HTF_2021-05-29_final.stac-item
2021-05-29 10:27:02	ga_s2am_ard_3-2-1_53HQA_2021-05-29_final.stac-item
2021-05-29 10:27:06	ga_s2am_ard_3-2-1_53HPA_2021-05-29_final.stac-item
2021-05-29 10:27:13	ga_s2am_ard_3-2-1_54HTE_2021-05-29_final
2021-05-29 10:27:14	ga_s2am_ard_3-2-1_53HQV_2021-05-29_final
2021-05-29 10:27:16	ga_s2am_ard_3-2-1_53HPV_2021-05-29_final
2021-05-29 12:03:21	ga_s2am_ard_3-2-1_50KNC_2021-05-29_final.stac-item
2021-05-29 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-05-29_final.stac-item
2021-05-29 12:03:27	ga_s2am_ard_3-2-1_50KLC_2021-05-29_final.stac-item
2021-05-29 12:03:34	ga_s2am_ard_3-2-1_50KNB_2021-05-29_final.stac-item
2021-05-29 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-05-29_final.stac-item
2021-05-29 12:03:42	ga_s2am_ard_3-2-1_50KLB_2021-05-29_final.stac-item
2021-05-29 12:03:45	ga_s2am_ard_3-2-1_50KNA_2021-05-29_final.stac-item
2021-05-29 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-05-29_final.stac-item
2021-05-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-05-29_final
2021-05-29 12:03:53	ga_s2am_ard_3-2-1_50KMA_2021-05-29_final.stac-item
2021-05-29 12:03:56	ga_s2am_ard_3-2-1_50KLA_2021-05-29_final.stac-item
2021-05-29 12:03:59	ga_s2am_ard_3-2-1_50KKA_2021-05-29_final.stac-item
2021-05-29 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-05-29_final.stac-item
2021-05-29 12:04:07	ga_s2am_ard_3-2-1_50KMV_2021-05-29_final.stac-item
2021-05-29 12:04:11	ga_s2am_ard_3-2-1_50KLV_2021-05-29_final.stac-item
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-05-29_final.stac-item
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-05-29_final.stac-item
2021-05-29 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-05-29_final.stac-item
2021-05-29 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-05-29_final.stac-item
2021-05-29 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-05-29_final.stac-item
2021-05-29 12:04:29	ga_s2am_ard_3-2-1_49KHP_2021-05-29_final.stac-item

Return to ga_s2am_ard_3 on 29th May 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

May

29th