Search ga_s2bm_ard_3 on 8th June 2020

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
2020-06-08 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2020-06-08_final.stac-item
2020-06-08 10:20:48	ga_s2bm_ard_3-2-1_54LWL_2020-06-08_final.stac-item
2020-06-08 10:21:02	ga_s2bm_ard_3-2-1_54LWK_2020-06-08_final.stac-item
2020-06-08 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2020-06-08_final.stac-item
2020-06-08 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-06-08_final.stac-item
2020-06-08 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2020-06-08_final.stac-item
2020-06-08 10:21:39	ga_s2bm_ard_3-2-1_54KYG_2020-06-08_final.stac-item
2020-06-08 10:21:43	ga_s2bm_ard_3-2-1_54KXG_2020-06-08_final.stac-item
2020-06-08 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2020-06-08_final.stac-item
2020-06-08 10:21:49	ga_s2bm_ard_3-2-1_54KVG_2020-06-08_final.stac-item
2020-06-08 10:21:53	ga_s2bm_ard_3-2-1_54KYF_2020-06-08_final.stac-item
2020-06-08 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2020-06-08_final.stac-item
2020-06-08 10:22:01	ga_s2bm_ard_3-2-1_54KWF_2020-06-08_final.stac-item
2020-06-08 10:22:04	ga_s2bm_ard_3-2-1_54KVF_2020-06-08_final.stac-item
2020-06-08 10:22:06	ga_s2bm_ard_3-2-1_54KYE_2020-06-08_final.stac-item
2020-06-08 10:22:11	ga_s2bm_ard_3-2-1_54KXE_2020-06-08_final.stac-item
2020-06-08 10:22:15	ga_s2bm_ard_3-2-1_54KWE_2020-06-08_final.stac-item
2020-06-08 10:22:16	ga_s2bm_ard_3-2-1_54KYD_2020-06-08_final.stac-item
2020-06-08 10:22:18	ga_s2bm_ard_3-2-1_54KVE_2020-06-08_final.stac-item
2020-06-08 10:22:26	ga_s2bm_ard_3-2-1_54KUE_2020-06-08_final.stac-item
2020-06-08 10:22:26	ga_s2bm_ard_3-2-1_54KXD_2020-06-08_final.stac-item
2020-06-08 10:22:30	ga_s2bm_ard_3-2-1_54KWD_2020-06-08_final.stac-item
2020-06-08 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2020-06-08_final.stac-item
2020-06-08 10:22:37	ga_s2bm_ard_3-2-1_54KUD_2020-06-08_final.stac-item
2020-06-08 10:22:40	ga_s2bm_ard_3-2-1_54KXC_2020-06-08_final.stac-item
2020-06-08 10:22:44	ga_s2bm_ard_3-2-1_54KWC_2020-06-08_final.stac-item
2020-06-08 10:22:47	ga_s2bm_ard_3-2-1_54KVC_2020-06-08_final.stac-item
2020-06-08 10:22:50	ga_s2bm_ard_3-2-1_54KUC_2020-06-08_final.stac-item
2020-06-08 10:22:55	ga_s2bm_ard_3-2-1_54KXB_2020-06-08_final.stac-item
2020-06-08 10:22:59	ga_s2bm_ard_3-2-1_54KWB_2020-06-08_final.stac-item
2020-06-08 10:23:01	ga_s2bm_ard_3-2-1_54KVB_2020-06-08_final.stac-item
2020-06-08 10:23:03	ga_s2bm_ard_3-2-1_54KUB_2020-06-08_final.stac-item
2020-06-08 10:23:05	ga_s2bm_ard_3-2-1_54KXA_2020-06-08_final.stac-item
2020-06-08 10:23:06	ga_s2bm_ard_3-2-1_54KWB_2020-06-08_final.stac-item
2020-06-08 10:23:07	ga_s2bm_ard_3-2-1_54KWA_2020-06-08_final.stac-item
2020-06-08 10:23:08	ga_s2bm_ard_3-2-1_54KVB_2020-06-08_final.stac-item
2020-06-08 10:23:08	ga_s2bm_ard_3-2-1_54KVA_2020-06-08_final.stac-item
2020-06-08 10:23:09	ga_s2bm_ard_3-2-1_54KUB_2020-06-08_final.stac-item
2020-06-08 10:23:10	ga_s2bm_ard_3-2-1_54KXA_2020-06-08_final.stac-item
2020-06-08 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2020-06-08_final.stac-item
2020-06-08 10:23:16	ga_s2bm_ard_3-2-1_54KVA_2020-06-08_final.stac-item
2020-06-08 10:26:00	ga_s2bm_ard_3-2-1_54HUK_2020-06-08_final.stac-item
2020-06-08 10:26:03	ga_s2bm_ard_3-2-1_54HTK_2020-06-08_final.stac-item
2020-06-08 10:26:05	ga_s2bm_ard_3-2-1_53HQE_2020-06-08_final.stac-item
2020-06-08 10:26:09	ga_s2bm_ard_3-2-1_53HPE_2020-06-08_final.stac-item
2020-06-08 10:26:15	ga_s2bm_ard_3-2-1_54HUJ_2020-06-08_final.stac-item
2020-06-08 10:26:18	ga_s2bm_ard_3-2-1_54HTJ_2020-06-08_final.stac-item
2020-06-08 10:26:20	ga_s2bm_ard_3-2-1_53HQD_2020-06-08_final.stac-item
2020-06-08 10:26:24	ga_s2bm_ard_3-2-1_53HPD_2020-06-08_final.stac-item
2020-06-08 10:26:29	ga_s2bm_ard_3-2-1_54HUH_2020-06-08_final.stac-item
2020-06-08 10:26:32	ga_s2bm_ard_3-2-1_54HTH_2020-06-08_final.stac-item
2020-06-08 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2020-06-08_final.stac-item
2020-06-08 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2020-06-08_final.stac-item
2020-06-08 10:26:42	ga_s2bm_ard_3-2-1_54HUG_2020-06-08_final.stac-item
2020-06-08 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2020-06-08_final.stac-item
2020-06-08 10:26:47	ga_s2bm_ard_3-2-1_54HTG_2020-06-08_final.stac-item
2020-06-08 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2020-06-08_final.stac-item
2020-06-08 10:26:52	ga_s2bm_ard_3-2-1_53HPB_2020-06-08_final.stac-item
2020-06-08 10:26:53	ga_s2bm_ard_3-2-1_54HUF_2020-06-08_final.stac-item
2020-06-08 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2020-06-08_final.stac-item
2020-06-08 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2020-06-08_final.stac-item
2020-06-08 10:27:03	ga_s2bm_ard_3-2-1_53HQA_2020-06-08_final.stac-item
2020-06-08 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-06-08_final.stac-item
2020-06-08 10:27:14	ga_s2bm_ard_3-2-1_54HTE_2020-06-08_final
2020-06-08 10:27:15	ga_s2bm_ard_3-2-1_53HQV_2020-06-08_final
2020-06-08 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-06-08_final
2020-06-08 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-06-08_final.stac-item
2020-06-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-06-08_final.stac-item
2020-06-08 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2020-06-08_final.stac-item
2020-06-08 12:03:35	ga_s2bm_ard_3-2-1_50KNB_2020-06-08_final.stac-item
2020-06-08 12:03:40	ga_s2bm_ard_3-2-1_50KMB_2020-06-08_final.stac-item
2020-06-08 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2020-06-08_final.stac-item
2020-06-08 12:03:46	ga_s2bm_ard_3-2-1_50KNA_2020-06-08_final.stac-item
2020-06-08 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-06-08_final.stac-item
2020-06-08 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2020-06-08_final.stac-item
2020-06-08 12:03:58	ga_s2bm_ard_3-2-1_50KLA_2020-06-08_final.stac-item
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-06-08_final.stac-item
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final.stac-item
2020-06-08 12:04:09	ga_s2bm_ard_3-2-1_50KMV_2020-06-08_final.stac-item
2020-06-08 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2020-06-08_final.stac-item
2020-06-08 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2020-06-08_final.stac-item
2020-06-08 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-06-08_final.stac-item
2020-06-08 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2020-06-08_final.stac-item
2020-06-08 12:04:23	ga_s2bm_ard_3-2-1_50KMU_2020-06-08_final.stac-item
2020-06-08 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2020-06-08_final.stac-item
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-08_final.stac-item
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-06-08_final.stac-item
2020-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-06-08_final.stac-item
2020-06-08 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2020-06-08_final.stac-item
2020-06-08 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2020-06-08_final.stac-item
2020-06-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-06-08_final.stac-item
2020-06-08 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-08_final.stac-item
2020-06-08 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-08_final.stac-item
2020-06-08 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-06-08_final.stac-item
2020-06-08 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2020-06-08_final.stac-item
2020-06-08 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-08_final.stac-item
2020-06-08 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-08_final.stac-item
2020-06-08 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-06-08_final.stac-item
2020-06-08 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-08_final.stac-item
2020-06-08 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2020-06-08_final.stac-item

Return to ga_s2bm_ard_3 on 8th June 2020 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2020

June

8th