Search ga_s2bm_ard_3 on 13th July 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
2021-07-13 10:19:43	ga_s2bm_ard_3-2-1_54LYQ_2021-07-13_final.stac-item
2021-07-13 10:19:46	ga_s2bm_ard_3-2-1_54LXQ_2021-07-13_final.stac-item
2021-07-13 10:19:57	ga_s2bm_ard_3-2-1_54LYP_2021-07-13_final.stac-item
2021-07-13 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2021-07-13_final.stac-item
2021-07-13 10:20:12	ga_s2bm_ard_3-2-1_54LYN_2021-07-13_final.stac-item
2021-07-13 10:20:15	ga_s2bm_ard_3-2-1_54LXN_2021-07-13_final.stac-item
2021-07-13 10:20:20	ga_s2bm_ard_3-2-1_54LWN_2021-07-13_final.stac-item
2021-07-13 10:20:26	ga_s2bm_ard_3-2-1_54LYM_2021-07-13_final.stac-item
2021-07-13 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2021-07-13_final.stac-item
2021-07-13 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2021-07-13_final.stac-item
2021-07-13 10:20:41	ga_s2bm_ard_3-2-1_54LYL_2021-07-13_final.stac-item
2021-07-13 10:20:44	ga_s2bm_ard_3-2-1_54LXL_2021-07-13_final.stac-item
2021-07-13 10:20:47	ga_s2bm_ard_3-2-1_54LWL_2021-07-13_final.stac-item
2021-07-13 10:20:55	ga_s2bm_ard_3-2-1_54LYK_2021-07-13_final.stac-item
2021-07-13 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2021-07-13_final.stac-item
2021-07-13 10:21:02	ga_s2bm_ard_3-2-1_54LWK_2021-07-13_final.stac-item
2021-07-13 10:21:02	ga_s2bm_ard_3-2-1_54LZJ_2021-07-13_final.stac-item
2021-07-13 10:21:10	ga_s2bm_ard_3-2-1_54LYJ_2021-07-13_final.stac-item
2021-07-13 10:21:13	ga_s2bm_ard_3-2-1_54LXJ_2021-07-13_final.stac-item
2021-07-13 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2021-07-13_final.stac-item
2021-07-13 10:21:24	ga_s2bm_ard_3-2-1_54LYH_2021-07-13_final.stac-item
2021-07-13 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2021-07-13_final.stac-item
2021-07-13 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2021-07-13_final.stac-item
2021-07-13 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2021-07-13_final.stac-item
2021-07-13 10:21:39	ga_s2bm_ard_3-2-1_54KYG_2021-07-13_final.stac-item
2021-07-13 10:21:42	ga_s2bm_ard_3-2-1_54KXG_2021-07-13_final.stac-item
2021-07-13 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2021-07-13_final.stac-item
2021-07-13 10:21:49	ga_s2bm_ard_3-2-1_54KVG_2021-07-13_final.stac-item
2021-07-13 10:21:53	ga_s2bm_ard_3-2-1_54KYF_2021-07-13_final.stac-item
2021-07-13 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2021-07-13_final.stac-item
2021-07-13 10:22:00	ga_s2bm_ard_3-2-1_54KWF_2021-07-13_final.stac-item
2021-07-13 10:22:04	ga_s2bm_ard_3-2-1_54KVF_2021-07-13_final.stac-item
2021-07-13 10:22:06	ga_s2bm_ard_3-2-1_54KYE_2021-07-13_final.stac-item
2021-07-13 10:22:11	ga_s2bm_ard_3-2-1_54KXE_2021-07-13_final.stac-item
2021-07-13 10:22:15	ga_s2bm_ard_3-2-1_54KWE_2021-07-13_final.stac-item
2021-07-13 10:22:15	ga_s2bm_ard_3-2-1_54KYD_2021-07-13_final.stac-item
2021-07-13 10:22:18	ga_s2bm_ard_3-2-1_54KVE_2021-07-13_final.stac-item
2021-07-13 10:22:26	ga_s2bm_ard_3-2-1_54KUE_2021-07-13_final.stac-item
2021-07-13 10:22:26	ga_s2bm_ard_3-2-1_54KXD_2021-07-13_final.stac-item
2021-07-13 10:22:29	ga_s2bm_ard_3-2-1_54KWD_2021-07-13_final.stac-item
2021-07-13 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2021-07-13_final.stac-item
2021-07-13 10:22:37	ga_s2bm_ard_3-2-1_54KUD_2021-07-13_final.stac-item
2021-07-13 10:22:40	ga_s2bm_ard_3-2-1_54KXC_2021-07-13_final.stac-item
2021-07-13 10:22:44	ga_s2bm_ard_3-2-1_54KWC_2021-07-13_final.stac-item
2021-07-13 10:22:47	ga_s2bm_ard_3-2-1_54KVC_2021-07-13_final.stac-item
2021-07-13 10:22:50	ga_s2bm_ard_3-2-1_54KUC_2021-07-13_final.stac-item
2021-07-13 10:22:55	ga_s2bm_ard_3-2-1_54KXB_2021-07-13_final.stac-item
2021-07-13 10:22:58	ga_s2bm_ard_3-2-1_54KWB_2021-07-13_final.stac-item
2021-07-13 10:23:02	ga_s2bm_ard_3-2-1_54KVB_2021-07-13_final.stac-item
2021-07-13 10:23:05	ga_s2bm_ard_3-2-1_54KUB_2021-07-13_final.stac-item
2021-07-13 10:23:08	ga_s2bm_ard_3-2-1_54KXA_2021-07-13_final.stac-item
2021-07-13 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2021-07-13_final.stac-item
2021-07-13 10:23:16	ga_s2bm_ard_3-2-1_54KVA_2021-07-13_final.stac-item
2021-07-13 10:23:19	ga_s2bm_ard_3-2-1_54KXV_2021-07-13_final.stac-item
2021-07-13 10:23:20	ga_s2bm_ard_3-2-1_54KUA_2021-07-13_final.stac-item
2021-07-13 10:23:27	ga_s2bm_ard_3-2-1_54KWV_2021-07-13_final.stac-item
2021-07-13 10:23:31	ga_s2bm_ard_3-2-1_54KVV_2021-07-13_final.stac-item
2021-07-13 10:23:34	ga_s2bm_ard_3-2-1_54KUV_2021-07-13_final.stac-item
2021-07-13 10:23:39	ga_s2bm_ard_3-2-1_54KTV_2021-07-13_final.stac-item
2021-07-13 10:23:42	ga_s2bm_ard_3-2-1_53KRQ_2021-07-13_final.stac-item
2021-07-13 10:23:42	ga_s2bm_ard_3-2-1_54KWU_2021-07-13_final.stac-item
2021-07-13 10:23:45	ga_s2bm_ard_3-2-1_54KVU_2021-07-13_final.stac-item
2021-07-13 10:23:49	ga_s2bm_ard_3-2-1_54KUU_2021-07-13_final.stac-item
2021-07-13 10:23:52	ga_s2bm_ard_3-2-1_54KTU_2021-07-13_final.stac-item
2021-07-13 10:23:52	ga_s2bm_ard_3-2-1_53KRP_2021-07-13_final.stac-item
2021-07-13 10:23:57	ga_s2bm_ard_3-2-1_54JWT_2021-07-13_final.stac-item
2021-07-13 10:24:00	ga_s2bm_ard_3-2-1_54JVT_2021-07-13_final.stac-item
2021-07-13 10:24:03	ga_s2bm_ard_3-2-1_54JUT_2021-07-13_final.stac-item
2021-07-13 10:24:06	ga_s2bm_ard_3-2-1_53JRN_2021-07-13_final.stac-item
2021-07-13 10:24:06	ga_s2bm_ard_3-2-1_54JTT_2021-07-13_final.stac-item
2021-07-13 10:24:10	ga_s2bm_ard_3-2-1_54JWS_2021-07-13_final.stac-item
2021-07-13 10:24:14	ga_s2bm_ard_3-2-1_54JVS_2021-07-13_final.stac-item
2021-07-13 10:24:18	ga_s2bm_ard_3-2-1_54JUS_2021-07-13_final.stac-item
2021-07-13 10:24:21	ga_s2bm_ard_3-2-1_53JRM_2021-07-13_final.stac-item
2021-07-13 10:24:21	ga_s2bm_ard_3-2-1_54JTS_2021-07-13_final.stac-item
2021-07-13 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2021-07-13_final.stac-item
2021-07-13 10:24:29	ga_s2bm_ard_3-2-1_54JVR_2021-07-13_final.stac-item
2021-07-13 10:24:32	ga_s2bm_ard_3-2-1_54JUR_2021-07-13_final.stac-item
2021-07-13 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2021-07-13_final.stac-item
2021-07-13 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2021-07-13_final.stac-item
2021-07-13 10:24:43	ga_s2bm_ard_3-2-1_54JVQ_2021-07-13_final.stac-item
2021-07-13 10:24:47	ga_s2bm_ard_3-2-1_54JUQ_2021-07-13_final.stac-item
2021-07-13 10:24:50	ga_s2bm_ard_3-2-1_54JTQ_2021-07-13_final.stac-item
2021-07-13 10:24:53	ga_s2bm_ard_3-2-1_53JQK_2021-07-13_final.stac-item
2021-07-13 10:24:55	ga_s2bm_ard_3-2-1_54JVP_2021-07-13_final.stac-item
2021-07-13 10:24:57	ga_s2bm_ard_3-2-1_54JUP_2021-07-13_final.stac-item
2021-07-13 10:24:58	ga_s2bm_ard_3-2-1_54JTQ_2021-07-13_final.stac-item
2021-07-13 10:24:58	ga_s2bm_ard_3-2-1_54JTP_2021-07-13_final.stac-item
2021-07-13 10:24:59	ga_s2bm_ard_3-2-1_53JQK_2021-07-13_final.stac-item
2021-07-13 10:24:59	ga_s2bm_ard_3-2-1_53JQJ_2021-07-13_final.stac-item
2021-07-13 10:25:02	ga_s2bm_ard_3-2-1_54JVP_2021-07-13_final.stac-item
2021-07-13 10:25:03	ga_s2bm_ard_3-2-1_54JUP_2021-07-13_final.stac-item
2021-07-13 10:25:05	ga_s2bm_ard_3-2-1_54JTP_2021-07-13_final.stac-item
2021-07-13 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2021-07-13_final.stac-item
2021-07-13 10:25:13	ga_s2bm_ard_3-2-1_54JVN_2021-07-13_final.stac-item
2021-07-13 10:25:16	ga_s2bm_ard_3-2-1_54JUN_2021-07-13_final.stac-item
2021-07-13 10:25:19	ga_s2bm_ard_3-2-1_54JTN_2021-07-13_final.stac-item
2021-07-13 10:25:22	ga_s2bm_ard_3-2-1_53JQH_2021-07-13_final.stac-item
2021-07-13 10:25:26	ga_s2bm_ard_3-2-1_54JVM_2021-07-13_final.stac-item
2021-07-13 10:25:30	ga_s2bm_ard_3-2-1_54JUM_2021-07-13_final.stac-item

Return to ga_s2bm_ard_3 on 13th July 2021 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

2021

July

13th