Search ga_s2bm_ard_3 on 2nd December 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
2021-12-02 09:23:35	ga_s2bm_ard_3-2-1_56JNT_2021-12-01_final.stac-item
2021-12-02 09:23:50	ga_s2bm_ard_3-2-1_56JNS_2021-12-01_final.stac-item
2021-12-02 09:24:05	ga_s2bm_ard_3-2-1_56JNR_2021-12-01_final
2021-12-02 09:24:19	ga_s2bm_ard_3-2-1_56JNQ_2021-12-01_final
2021-12-02 09:24:23	ga_s2bm_ard_3-2-1_56JMQ_2021-12-01_final.stac-item
2021-12-02 09:24:33	ga_s2bm_ard_3-2-1_56JNP_2021-12-01_final
2021-12-02 09:24:37	ga_s2bm_ard_3-2-1_56JMP_2021-12-01_final.stac-item
2021-12-02 09:24:48	ga_s2bm_ard_3-2-1_56JNN_2021-12-01_final.stac-item
2021-12-02 09:24:51	ga_s2bm_ard_3-2-1_56JMN_2021-12-01_final.stac-item
2021-12-02 09:25:02	ga_s2bm_ard_3-2-1_56JNM_2021-12-01_final.stac-item
2021-12-02 09:25:06	ga_s2bm_ard_3-2-1_56JMM_2021-12-01_final.stac-item
2021-12-02 09:25:17	ga_s2bm_ard_3-2-1_56JNL_2021-12-01_final.stac-item
2021-12-02 09:25:20	ga_s2bm_ard_3-2-1_56JML_2021-12-01_final.stac-item
2021-12-02 09:25:25	ga_s2bm_ard_3-2-1_56JLL_2021-12-01_final.stac-item
2021-12-02 09:25:35	ga_s2bm_ard_3-2-1_56HMK_2021-12-01_final.stac-item
2021-12-02 09:25:38	ga_s2bm_ard_3-2-1_56HLK_2021-12-01_final.stac-item
2021-12-02 09:25:50	ga_s2bm_ard_3-2-1_56HMJ_2021-12-01_final.stac-item
2021-12-02 09:25:53	ga_s2bm_ard_3-2-1_56HLJ_2021-12-01_final.stac-item
2021-12-02 09:26:07	ga_s2bm_ard_3-2-1_56HLH_2021-12-01_final
2021-12-02 09:26:22	ga_s2bm_ard_3-2-1_56HLG_2021-12-01_final
2021-12-02 09:26:27	ga_s2bm_ard_3-2-1_56HKG_2021-12-01_final.stac-item
2021-12-02 09:26:40	ga_s2bm_ard_3-2-1_56HKF_2021-12-01_final.stac-item
2021-12-02 09:26:56	ga_s2bm_ard_3-2-1_55HGV_2021-12-01_final.stac-item
2021-12-02 09:27:10	ga_s2bm_ard_3-2-1_55HGU_2021-12-01_final
2021-12-02 09:27:45	ga_s2bm_ard_3-2-1_55HFS_2021-12-01_final
2021-12-02 09:27:57	ga_s2bm_ard_3-2-1_55GFR_2021-12-01_final.stac-item
2021-12-02 09:28:11	ga_s2bm_ard_3-2-1_55GFQ_2021-12-01_final.stac-item
2021-12-02 09:28:26	ga_s2bm_ard_3-2-1_55GFP_2021-12-01_final.stac-item
2021-12-02 09:28:33	ga_s2bm_ard_3-2-1_55GEP_2021-12-01_final.stac-item
2021-12-02 09:28:40	ga_s2bm_ard_3-2-1_55GFN_2021-12-01_final.stac-item
2021-12-02 09:28:44	ga_s2bm_ard_3-2-1_55GEN_2021-12-01_final.stac-item
2021-12-02 09:28:56	ga_s2bm_ard_3-2-1_55GEM_2021-12-01_final
2021-12-02 11:00:09	ga_s2bm_ard_3-2-1_53LKJ_2021-12-02_final
2021-12-02 11:00:18	ga_s2bm_ard_3-2-1_53LMH_2021-12-02_final
2021-12-02 11:00:21	ga_s2bm_ard_3-2-1_53LLH_2021-12-02_final
2021-12-02 11:00:24	ga_s2bm_ard_3-2-1_53LKH_2021-12-02_final.stac-item
2021-12-02 11:00:26	ga_s2bm_ard_3-2-1_52LHN_2021-12-02_final.stac-item
2021-12-02 11:00:31	ga_s2bm_ard_3-2-1_53LMG_2021-12-02_final.stac-item
2021-12-02 11:00:33	ga_s2bm_ard_3-2-1_52LGN_2021-12-02_final.stac-item
2021-12-02 11:00:35	ga_s2bm_ard_3-2-1_53LLG_2021-12-02_final.stac-item
2021-12-02 11:00:39	ga_s2bm_ard_3-2-1_53LKG_2021-12-02_final.stac-item
2021-12-02 11:00:40	ga_s2bm_ard_3-2-1_52LHM_2021-12-02_final.stac-item
2021-12-02 11:00:44	ga_s2bm_ard_3-2-1_53LMF_2021-12-02_final.stac-item
2021-12-02 11:00:44	ga_s2bm_ard_3-2-1_52LGM_2021-12-02_final.stac-item
2021-12-02 11:00:50	ga_s2bm_ard_3-2-1_53LLF_2021-12-02_final.stac-item
2021-12-02 11:00:53	ga_s2bm_ard_3-2-1_53LKF_2021-12-02_final.stac-item
2021-12-02 11:00:54	ga_s2bm_ard_3-2-1_53LME_2021-12-02_final.stac-item
2021-12-02 11:00:55	ga_s2bm_ard_3-2-1_52LHL_2021-12-02_final.stac-item
2021-12-02 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2021-12-02_final.stac-item
2021-12-02 11:01:04	ga_s2bm_ard_3-2-1_53LLE_2021-12-02_final.stac-item
2021-12-02 11:01:08	ga_s2bm_ard_3-2-1_53LKE_2021-12-02_final.stac-item
2021-12-02 11:01:09	ga_s2bm_ard_3-2-1_52LHK_2021-12-02_final.stac-item
2021-12-02 11:01:12	ga_s2bm_ard_3-2-1_52LGK_2021-12-02_final.stac-item
2021-12-02 11:01:19	ga_s2bm_ard_3-2-1_53LLD_2021-12-02_final.stac-item
2021-12-02 11:01:22	ga_s2bm_ard_3-2-1_53LKD_2021-12-02_final.stac-item
2021-12-02 11:01:24	ga_s2bm_ard_3-2-1_52LHJ_2021-12-02_final.stac-item
2021-12-02 11:01:27	ga_s2bm_ard_3-2-1_52LGJ_2021-12-02_final.stac-item
2021-12-02 11:01:34	ga_s2bm_ard_3-2-1_53LLC_2021-12-02_final.stac-item
2021-12-02 11:01:35	ga_s2bm_ard_3-2-1_52LFJ_2021-12-02_final.stac-item
2021-12-02 11:01:37	ga_s2bm_ard_3-2-1_53LKC_2021-12-02_final.stac-item
2021-12-02 11:01:38	ga_s2bm_ard_3-2-1_52LHH_2021-12-02_final.stac-item
2021-12-02 11:01:41	ga_s2bm_ard_3-2-1_52LGH_2021-12-02_final.stac-item
2021-12-02 11:01:46	ga_s2bm_ard_3-2-1_52LFH_2021-12-02_final.stac-item
2021-12-02 11:01:47	ga_s2bm_ard_3-2-1_53KLB_2021-12-02_final.stac-item
2021-12-02 11:01:51	ga_s2bm_ard_3-2-1_53KKB_2021-12-02_final.stac-item
2021-12-02 11:01:52	ga_s2bm_ard_3-2-1_52KHG_2021-12-02_final.stac-item
2021-12-02 11:01:56	ga_s2bm_ard_3-2-1_52KGG_2021-12-02_final.stac-item
2021-12-02 11:01:59	ga_s2bm_ard_3-2-1_53KLA_2021-12-02_final.stac-item
2021-12-02 11:04:16	ga_s2bm_ard_3-2-1_52JDT_2021-12-02_final.stac-item
2021-12-02 11:04:25	ga_s2bm_ard_3-2-1_52JDS_2021-12-02_final.stac-item
2021-12-02 11:04:31	ga_s2bm_ard_3-2-1_52JGR_2021-12-02_final.stac-item
2021-12-02 11:04:32	ga_s2bm_ard_3-2-1_52JDS_2021-12-02_final.stac-item
2021-12-02 11:04:39	ga_s2bm_ard_3-2-1_52JFR_2021-12-02_final.stac-item
2021-12-02 11:04:42	ga_s2bm_ard_3-2-1_52JER_2021-12-02_final.stac-item
2021-12-02 11:04:46	ga_s2bm_ard_3-2-1_52JDR_2021-12-02_final.stac-item
2021-12-02 11:04:51	ga_s2bm_ard_3-2-1_52JCR_2021-12-02_final.stac-item
2021-12-02 11:04:53	ga_s2bm_ard_3-2-1_52JFQ_2021-12-02_final.stac-item
2021-12-02 11:04:57	ga_s2bm_ard_3-2-1_52JEQ_2021-12-02_final.stac-item
2021-12-02 11:05:00	ga_s2bm_ard_3-2-1_52JDQ_2021-12-02_final.stac-item
2021-12-02 11:05:04	ga_s2bm_ard_3-2-1_52JCQ_2021-12-02_final.stac-item
2021-12-02 11:05:08	ga_s2bm_ard_3-2-1_52JFP_2021-12-02_final.stac-item
2021-12-02 11:05:11	ga_s2bm_ard_3-2-1_52JEP_2021-12-02_final.stac-item
2021-12-02 11:05:15	ga_s2bm_ard_3-2-1_52JDP_2021-12-02_final.stac-item
2021-12-02 11:05:18	ga_s2bm_ard_3-2-1_52JCP_2021-12-02_final.stac-item
2021-12-02 11:05:22	ga_s2bm_ard_3-2-1_52JFN_2021-12-02_final.stac-item
2021-12-02 11:05:26	ga_s2bm_ard_3-2-1_52JEN_2021-12-02_final.stac-item
2021-12-02 11:05:29	ga_s2bm_ard_3-2-1_52JDN_2021-12-02_final.stac-item
2021-12-02 11:05:33	ga_s2bm_ard_3-2-1_52JCN_2021-12-02_final.stac-item
2021-12-02 11:05:34	ga_s2bm_ard_3-2-1_52JFM_2021-12-02_final.stac-item
2021-12-02 11:05:40	ga_s2bm_ard_3-2-1_52JEM_2021-12-02_final.stac-item
2021-12-02 11:05:44	ga_s2bm_ard_3-2-1_52JDM_2021-12-02_final.stac-item
2021-12-02 11:05:47	ga_s2bm_ard_3-2-1_52JCM_2021-12-02_final.stac-item
2021-12-02 11:05:54	ga_s2bm_ard_3-2-1_52JBM_2021-12-02_final.stac-item
2021-12-02 11:05:55	ga_s2bm_ard_3-2-1_52JEL_2021-12-02_final.stac-item
2021-12-02 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2021-12-02_final.stac-item
2021-12-02 11:06:02	ga_s2bm_ard_3-2-1_52JCL_2021-12-02_final.stac-item
2021-12-02 11:06:05	ga_s2bm_ard_3-2-1_52JBL_2021-12-02_final.stac-item
2021-12-02 11:06:13	ga_s2bm_ard_3-2-1_52HDK_2021-12-02_final
2021-12-02 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2021-12-02_final
2021-12-02 11:06:19	ga_s2bm_ard_3-2-1_52HBK_2021-12-02_final.stac-item

Return to ga_s2bm_ard_3 on 2nd December 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

December

2nd