Search ga_s2bm_ard_3 on 10th 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
2020-06-10 09:23:42	ga_s2bm_ard_3-2-1_56JNT_2020-06-09_final.stac-item
2020-06-10 09:23:57	ga_s2bm_ard_3-2-1_56JNS_2020-06-09_final.stac-item
2020-06-10 09:24:30	ga_s2bm_ard_3-2-1_56JMQ_2020-06-09_final.stac-item
2020-06-10 09:24:43	ga_s2bm_ard_3-2-1_56JMP_2020-06-09_final.stac-item
2020-06-10 09:24:55	ga_s2bm_ard_3-2-1_56JNN_2020-06-09_final.stac-item
2020-06-10 09:24:58	ga_s2bm_ard_3-2-1_56JMN_2020-06-09_final.stac-item
2020-06-10 09:25:09	ga_s2bm_ard_3-2-1_56JNM_2020-06-09_final.stac-item
2020-06-10 09:25:13	ga_s2bm_ard_3-2-1_56JMM_2020-06-09_final.stac-item
2020-06-10 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2020-06-09_final.stac-item
2020-06-10 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-06-09_final.stac-item
2020-06-10 09:25:32	ga_s2bm_ard_3-2-1_56JLL_2020-06-09_final.stac-item
2020-06-10 09:25:42	ga_s2bm_ard_3-2-1_56HMK_2020-06-09_final.stac-item
2020-06-10 09:25:45	ga_s2bm_ard_3-2-1_56HLK_2020-06-09_final.stac-item
2020-06-10 09:25:56	ga_s2bm_ard_3-2-1_56HMJ_2020-06-09_final.stac-item
2020-06-10 09:25:58	ga_s2bm_ard_3-2-1_56HLJ_2020-06-09_final.stac-item
2020-06-10 09:26:03	ga_s2bm_ard_3-2-1_56HMJ_2020-06-09_final.stac-item
2020-06-10 09:26:05	ga_s2bm_ard_3-2-1_56HLJ_2020-06-09_final.stac-item
2020-06-10 09:26:34	ga_s2bm_ard_3-2-1_56HKG_2020-06-09_final.stac-item
2020-06-10 09:26:46	ga_s2bm_ard_3-2-1_56HKF_2020-06-09_final.stac-item
2020-06-10 09:27:03	ga_s2bm_ard_3-2-1_55HGV_2020-06-09_final.stac-item
2020-06-10 09:27:51	ga_s2bm_ard_3-2-1_55HFS_2020-06-09_final
2020-06-10 09:28:04	ga_s2bm_ard_3-2-1_55GFR_2020-06-09_final.stac-item
2020-06-10 09:28:18	ga_s2bm_ard_3-2-1_55GFQ_2020-06-09_final.stac-item
2020-06-10 09:28:33	ga_s2bm_ard_3-2-1_55GFP_2020-06-09_final.stac-item
2020-06-10 09:28:40	ga_s2bm_ard_3-2-1_55GEP_2020-06-09_final.stac-item
2020-06-10 09:28:47	ga_s2bm_ard_3-2-1_55GFN_2020-06-09_final.stac-item
2020-06-10 09:28:51	ga_s2bm_ard_3-2-1_55GEN_2020-06-09_final.stac-item
2020-06-10 11:00:16	ga_s2bm_ard_3-2-1_53LKJ_2020-06-10_final
2020-06-10 11:00:24	ga_s2bm_ard_3-2-1_53LMH_2020-06-10_final
2020-06-10 11:00:31	ga_s2bm_ard_3-2-1_53LKH_2020-06-10_final.stac-item
2020-06-10 11:00:33	ga_s2bm_ard_3-2-1_52LHN_2020-06-10_final.stac-item
2020-06-10 11:00:38	ga_s2bm_ard_3-2-1_53LMG_2020-06-10_final.stac-item
2020-06-10 11:00:39	ga_s2bm_ard_3-2-1_52LGN_2020-06-10_final.stac-item
2020-06-10 11:00:42	ga_s2bm_ard_3-2-1_53LLG_2020-06-10_final.stac-item
2020-06-10 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2020-06-10_final.stac-item
2020-06-10 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2020-06-10_final.stac-item
2020-06-10 11:00:51	ga_s2bm_ard_3-2-1_53LMF_2020-06-10_final.stac-item
2020-06-10 11:00:51	ga_s2bm_ard_3-2-1_52LGM_2020-06-10_final.stac-item
2020-06-10 11:00:55	ga_s2bm_ard_3-2-1_53LLF_2020-06-10_final.stac-item
2020-06-10 11:00:57	ga_s2bm_ard_3-2-1_53LKF_2020-06-10_final.stac-item
2020-06-10 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2020-06-10_final.stac-item
2020-06-10 11:00:58	ga_s2bm_ard_3-2-1_53LMF_2020-06-10_final.stac-item
2020-06-10 11:00:59	ga_s2bm_ard_3-2-1_52LGL_2020-06-10_final.stac-item
2020-06-10 11:01:02	ga_s2bm_ard_3-2-1_53LLF_2020-06-10_final.stac-item
2020-06-10 11:01:03	ga_s2bm_ard_3-2-1_53LKF_2020-06-10_final.stac-item
2020-06-10 11:01:04	ga_s2bm_ard_3-2-1_52LHL_2020-06-10_final.stac-item
2020-06-10 11:01:06	ga_s2bm_ard_3-2-1_52LGL_2020-06-10_final.stac-item
2020-06-10 11:01:11	ga_s2bm_ard_3-2-1_53LLE_2020-06-10_final.stac-item
2020-06-10 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-06-10_final.stac-item
2020-06-10 11:01:16	ga_s2bm_ard_3-2-1_52LHK_2020-06-10_final.stac-item
2020-06-10 11:01:19	ga_s2bm_ard_3-2-1_52LGK_2020-06-10_final.stac-item
2020-06-10 11:01:26	ga_s2bm_ard_3-2-1_53LLD_2020-06-10_final.stac-item
2020-06-10 11:01:29	ga_s2bm_ard_3-2-1_53LKD_2020-06-10_final.stac-item
2020-06-10 11:01:30	ga_s2bm_ard_3-2-1_52LHJ_2020-06-10_final.stac-item
2020-06-10 11:01:34	ga_s2bm_ard_3-2-1_52LGJ_2020-06-10_final.stac-item
2020-06-10 11:01:40	ga_s2bm_ard_3-2-1_53LLC_2020-06-10_final.stac-item
2020-06-10 11:01:41	ga_s2bm_ard_3-2-1_52LFJ_2020-06-10_final.stac-item
2020-06-10 11:01:44	ga_s2bm_ard_3-2-1_53LKC_2020-06-10_final.stac-item
2020-06-10 11:01:45	ga_s2bm_ard_3-2-1_52LHH_2020-06-10_final.stac-item
2020-06-10 11:01:48	ga_s2bm_ard_3-2-1_52LGH_2020-06-10_final.stac-item
2020-06-10 11:01:52	ga_s2bm_ard_3-2-1_52LFH_2020-06-10_final.stac-item
2020-06-10 11:01:54	ga_s2bm_ard_3-2-1_53KLB_2020-06-10_final.stac-item
2020-06-10 11:01:58	ga_s2bm_ard_3-2-1_53KKB_2020-06-10_final.stac-item
2020-06-10 11:01:59	ga_s2bm_ard_3-2-1_52KHG_2020-06-10_final.stac-item
2020-06-10 11:02:03	ga_s2bm_ard_3-2-1_52KGG_2020-06-10_final.stac-item
2020-06-10 11:02:05	ga_s2bm_ard_3-2-1_53KLA_2020-06-10_final.stac-item
2020-06-10 11:02:06	ga_s2bm_ard_3-2-1_52KFG_2020-06-10_final.stac-item
2020-06-10 11:02:12	ga_s2bm_ard_3-2-1_53KKA_2020-06-10_final.stac-item
2020-06-10 11:04:17	ga_s2bm_ard_3-2-1_52JFT_2020-06-10_final.stac-item
2020-06-10 11:04:20	ga_s2bm_ard_3-2-1_52JET_2020-06-10_final.stac-item
2020-06-10 11:04:23	ga_s2bm_ard_3-2-1_52JDT_2020-06-10_final.stac-item
2020-06-10 11:04:31	ga_s2bm_ard_3-2-1_52JFS_2020-06-10_final.stac-item
2020-06-10 11:04:35	ga_s2bm_ard_3-2-1_52JES_2020-06-10_final.stac-item
2020-06-10 11:04:38	ga_s2bm_ard_3-2-1_52JDS_2020-06-10_final.stac-item
2020-06-10 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2020-06-10_final.stac-item
2020-06-10 11:04:49	ga_s2bm_ard_3-2-1_52JER_2020-06-10_final.stac-item
2020-06-10 11:04:53	ga_s2bm_ard_3-2-1_52JDR_2020-06-10_final.stac-item
2020-06-10 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2020-06-10_final.stac-item
2020-06-10 11:05:00	ga_s2bm_ard_3-2-1_52JFQ_2020-06-10_final.stac-item
2020-06-10 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2020-06-10_final.stac-item
2020-06-10 11:05:07	ga_s2bm_ard_3-2-1_52JDQ_2020-06-10_final.stac-item
2020-06-10 11:05:10	ga_s2bm_ard_3-2-1_52JCQ_2020-06-10_final.stac-item
2020-06-10 11:05:15	ga_s2bm_ard_3-2-1_52JFP_2020-06-10_final.stac-item
2020-06-10 11:05:18	ga_s2bm_ard_3-2-1_52JEP_2020-06-10_final.stac-item
2020-06-10 11:05:22	ga_s2bm_ard_3-2-1_52JDP_2020-06-10_final.stac-item
2020-06-10 11:05:25	ga_s2bm_ard_3-2-1_52JCP_2020-06-10_final.stac-item
2020-06-10 11:05:29	ga_s2bm_ard_3-2-1_52JFN_2020-06-10_final.stac-item
2020-06-10 11:05:33	ga_s2bm_ard_3-2-1_52JEN_2020-06-10_final.stac-item
2020-06-10 11:05:36	ga_s2bm_ard_3-2-1_52JDN_2020-06-10_final.stac-item
2020-06-10 11:05:40	ga_s2bm_ard_3-2-1_52JCN_2020-06-10_final.stac-item
2020-06-10 11:05:41	ga_s2bm_ard_3-2-1_52JFM_2020-06-10_final.stac-item
2020-06-10 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2020-06-10_final.stac-item
2020-06-10 11:05:51	ga_s2bm_ard_3-2-1_52JDM_2020-06-10_final.stac-item
2020-06-10 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2020-06-10_final.stac-item
2020-06-10 11:06:00	ga_s2bm_ard_3-2-1_52JBM_2020-06-10_final.stac-item
2020-06-10 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2020-06-10_final.stac-item
2020-06-10 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2020-06-10_final.stac-item
2020-06-10 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2020-06-10_final.stac-item
2020-06-10 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2020-06-10_final.stac-item
2020-06-10 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2020-06-10_final.stac-item

Return to ga_s2bm_ard_3 on 10th 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

10th