Search ga_s2bm_ard_3 on 19th August 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
2021-08-19 10:13:59	ga_s2bm_ard_3-2-1_54JWT_2021-08-19_final.stac-item
2021-08-19 10:14:05	ga_s2bm_ard_3-2-1_54JVT_2021-08-19_final.stac-item
2021-08-19 10:14:06	ga_s2bm_ard_3-2-1_54JYS_2021-08-19_final.stac-item
2021-08-19 10:14:10	ga_s2bm_ard_3-2-1_54JXS_2021-08-19_final.stac-item
2021-08-19 10:14:13	ga_s2bm_ard_3-2-1_54JWS_2021-08-19_final.stac-item
2021-08-19 10:14:17	ga_s2bm_ard_3-2-1_54JVS_2021-08-19_final.stac-item
2021-08-19 10:14:20	ga_s2bm_ard_3-2-1_54JYR_2021-08-19_final.stac-item
2021-08-19 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2021-08-19_final.stac-item
2021-08-19 10:14:27	ga_s2bm_ard_3-2-1_54JWR_2021-08-19_final.stac-item
2021-08-19 10:14:31	ga_s2bm_ard_3-2-1_54JVR_2021-08-19_final.stac-item
2021-08-19 10:14:35	ga_s2bm_ard_3-2-1_54JYQ_2021-08-19_final.stac-item
2021-08-19 10:14:38	ga_s2bm_ard_3-2-1_54JXQ_2021-08-19_final.stac-item
2021-08-19 10:14:42	ga_s2bm_ard_3-2-1_54JWQ_2021-08-19_final.stac-item
2021-08-19 10:14:45	ga_s2bm_ard_3-2-1_54JVQ_2021-08-19_final.stac-item
2021-08-19 10:14:47	ga_s2bm_ard_3-2-1_54JYP_2021-08-19_final.stac-item
2021-08-19 10:14:53	ga_s2bm_ard_3-2-1_54JXP_2021-08-19_final.stac-item
2021-08-19 10:14:57	ga_s2bm_ard_3-2-1_54JWP_2021-08-19_final.stac-item
2021-08-19 10:14:57	ga_s2bm_ard_3-2-1_54JYN_2021-08-19_final.stac-item
2021-08-19 10:15:00	ga_s2bm_ard_3-2-1_54JVP_2021-08-19_final.stac-item
2021-08-19 10:15:07	ga_s2bm_ard_3-2-1_54JXN_2021-08-19_final.stac-item
2021-08-19 10:15:07	ga_s2bm_ard_3-2-1_54JUP_2021-08-19_final.stac-item
2021-08-19 10:15:11	ga_s2bm_ard_3-2-1_54JWN_2021-08-19_final.stac-item
2021-08-19 10:15:14	ga_s2bm_ard_3-2-1_54JVN_2021-08-19_final.stac-item
2021-08-19 10:15:18	ga_s2bm_ard_3-2-1_54JUN_2021-08-19_final.stac-item
2021-08-19 10:15:22	ga_s2bm_ard_3-2-1_54JXM_2021-08-19_final.stac-item
2021-08-19 10:15:26	ga_s2bm_ard_3-2-1_54JWM_2021-08-19_final.stac-item
2021-08-19 10:15:29	ga_s2bm_ard_3-2-1_54JVM_2021-08-19_final.stac-item
2021-08-19 10:15:32	ga_s2bm_ard_3-2-1_54JUM_2021-08-19_final.stac-item
2021-08-19 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2021-08-19_final.stac-item
2021-08-19 10:15:40	ga_s2bm_ard_3-2-1_54JWL_2021-08-19_final.stac-item
2021-08-19 10:15:44	ga_s2bm_ard_3-2-1_54JVL_2021-08-19_final.stac-item
2021-08-19 10:15:47	ga_s2bm_ard_3-2-1_54JUL_2021-08-19_final.stac-item
2021-08-19 10:15:49	ga_s2bm_ard_3-2-1_54HXK_2021-08-19_final.stac-item
2021-08-19 10:15:54	ga_s2bm_ard_3-2-1_54HWK_2021-08-19_final.stac-item
2021-08-19 10:15:58	ga_s2bm_ard_3-2-1_54HVK_2021-08-19_final.stac-item
2021-08-19 10:16:00	ga_s2bm_ard_3-2-1_54HXJ_2021-08-19_final.stac-item
2021-08-19 10:16:01	ga_s2bm_ard_3-2-1_54HUK_2021-08-19_final.stac-item
2021-08-19 10:16:04	ga_s2bm_ard_3-2-1_54HWJ_2021-08-19_final.stac-item
2021-08-19 10:16:06	ga_s2bm_ard_3-2-1_54HVJ_2021-08-19_final.stac-item
2021-08-19 10:16:06	ga_s2bm_ard_3-2-1_54HVK_2021-08-19_final.stac-item
2021-08-19 10:16:08	ga_s2bm_ard_3-2-1_54HUJ_2021-08-19_final.stac-item
2021-08-19 10:16:08	ga_s2bm_ard_3-2-1_54HUK_2021-08-19_final.stac-item
2021-08-19 10:16:11	ga_s2bm_ard_3-2-1_54HWJ_2021-08-19_final.stac-item
2021-08-19 10:16:13	ga_s2bm_ard_3-2-1_54HVJ_2021-08-19_final.stac-item
2021-08-19 10:16:16	ga_s2bm_ard_3-2-1_54HUJ_2021-08-19_final.stac-item
2021-08-19 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2021-08-19_final.stac-item
2021-08-19 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2021-08-19_final.stac-item
2021-08-19 10:16:27	ga_s2bm_ard_3-2-1_54HVH_2021-08-19_final.stac-item
2021-08-19 10:16:30	ga_s2bm_ard_3-2-1_54HUH_2021-08-19_final.stac-item
2021-08-19 11:53:57	ga_s2bm_ard_3-2-1_50KNA_2021-08-19_final.stac-item
2021-08-19 11:53:57	ga_s2bm_ard_3-2-1_50KMA_2021-08-19_final.stac-item
2021-08-19 11:54:00	ga_s2bm_ard_3-2-1_50KNA_2021-08-19_final.stac-item
2021-08-19 11:54:00	ga_s2bm_ard_3-2-1_50KNV_2021-08-19_final.stac-item
2021-08-19 11:54:01	ga_s2bm_ard_3-2-1_50KMA_2021-08-19_final.stac-item
2021-08-19 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2021-08-19_final.stac-item
2021-08-19 11:54:11	ga_s2bm_ard_3-2-1_50KMV_2021-08-19_final.stac-item
2021-08-19 11:54:22	ga_s2bm_ard_3-2-1_50KNU_2021-08-19_final.stac-item
2021-08-19 11:54:23	ga_s2bm_ard_3-2-1_50JQT_2021-08-19_final.stac-item
2021-08-19 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2021-08-19_final.stac-item
2021-08-19 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2021-08-19_final.stac-item
2021-08-19 11:54:33	ga_s2bm_ard_3-2-1_50KLU_2021-08-19_final.stac-item
2021-08-19 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2021-08-19_final.stac-item
2021-08-19 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2021-08-19_final.stac-item
2021-08-19 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-08-19_final.stac-item
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final.stac-item
2021-08-19 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2021-08-19_final.stac-item
2021-08-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-08-19_final.stac-item
2021-08-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-08-19_final.stac-item
2021-08-19 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2021-08-19_final.stac-item
2021-08-19 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2021-08-19_final.stac-item
2021-08-19 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2021-08-19_final.stac-item
2021-08-19 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-08-19_final.stac-item
2021-08-19 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2021-08-19_final.stac-item
2021-08-19 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-08-19_final.stac-item
2021-08-19 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2021-08-19_final.stac-item
2021-08-19 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2021-08-19_final.stac-item
2021-08-19 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-08-19_final.stac-item
2021-08-19 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-08-19_final.stac-item
2021-08-19 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-08-19_final.stac-item
2021-08-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-08-19_final.stac-item
2021-08-19 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-08-19_final.stac-item
2021-08-19 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2021-08-19_final.stac-item
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final.stac-item
2021-08-19 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-08-19_final.stac-item
2021-08-19 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-08-19_final.stac-item
2021-08-19 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-08-19_final.stac-item
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final.stac-item
2021-08-19 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-08-19_final.stac-item
2021-08-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-08-19_final.stac-item
2021-08-19 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-08-19_final.stac-item
2021-08-19 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-08-19_final.stac-item
2021-08-19 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-08-19_final.stac-item
2021-08-19 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-08-19_final.stac-item
2021-08-19 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-08-19_final.stac-item
2021-08-19 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-08-19_final.stac-item
2021-08-19 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-08-19_final.stac-item
2021-08-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-08-19_final.stac-item
2021-08-19 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-08-19_final.stac-item
2021-08-19 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-08-19_final.stac-item
2021-08-19 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-08-19_final

Return to ga_s2bm_ard_3 on 19th August 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

August

19th