Search ga_s2bm_ard_3 across October 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
2021-10-26 11:14:25	ga_s2bm_ard_3-2-1_52JBT_2021-10-26_final.stac-item
2021-10-26 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2021-10-26_final.stac-item
2021-10-26 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2021-10-26_final.stac-item
2021-10-26 11:14:36	ga_s2bm_ard_3-2-1_52JCS_2021-10-26_final.stac-item
2021-10-26 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2021-10-26_final.stac-item
2021-10-26 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2021-10-26_final.stac-item
2021-10-26 11:14:43	ga_s2bm_ard_3-2-1_51JYM_2021-10-26_final.stac-item
2021-10-26 11:14:47	ga_s2bm_ard_3-2-1_52JDR_2021-10-26_final.stac-item
2021-10-26 11:14:51	ga_s2bm_ard_3-2-1_52JCR_2021-10-26_final.stac-item
2021-10-26 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2021-10-26_final.stac-item
2021-10-26 11:14:57	ga_s2bm_ard_3-2-1_51JYL_2021-10-26_final.stac-item
2021-10-26 11:15:01	ga_s2bm_ard_3-2-1_52JDQ_2021-10-26_final.stac-item
2021-10-26 11:15:05	ga_s2bm_ard_3-2-1_52JCQ_2021-10-26_final.stac-item
2021-10-26 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2021-10-26_final.stac-item
2021-10-26 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2021-10-26_final.stac-item
2021-10-26 11:15:13	ga_s2bm_ard_3-2-1_52JDP_2021-10-26_final.stac-item
2021-10-26 11:15:20	ga_s2bm_ard_3-2-1_52JCP_2021-10-26_final.stac-item
2021-10-26 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2021-10-26_final.stac-item
2021-10-26 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2021-10-26_final.stac-item
2021-10-26 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-10-26_final.stac-item
2021-10-26 11:15:34	ga_s2bm_ard_3-2-1_52JCN_2021-10-26_final.stac-item
2021-10-26 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2021-10-26_final.stac-item
2021-10-26 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2021-10-26_final.stac-item
2021-10-26 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2021-10-26_final.stac-item
2021-10-26 11:15:49	ga_s2bm_ard_3-2-1_52JCM_2021-10-26_final.stac-item
2021-10-26 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2021-10-26_final.stac-item
2021-10-26 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2021-10-26_final.stac-item
2021-10-26 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2021-10-26_final.stac-item
2021-10-26 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2021-10-26_final.stac-item
2021-10-26 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2021-10-26_final.stac-item
2021-10-26 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2021-10-26_final.stac-item
2021-10-26 11:16:13	ga_s2bm_ard_3-2-1_51JXF_2021-10-26_final.stac-item
2021-10-26 11:16:21	ga_s2bm_ard_3-2-1_51JWF_2021-10-26_final.stac-item
2021-10-26 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2021-10-26_final.stac-item
2021-10-26 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2021-10-26_final.stac-item
2021-10-26 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2021-10-26_final.stac-item
2021-10-26 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2021-10-26_final.stac-item
2021-10-26 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-10-26_final.stac-item
2021-10-26 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2021-10-26_final.stac-item
2021-10-26 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-10-26_final.stac-item
2021-10-27 10:40:41	ga_s2bm_ard_3-2-1_53LPG_2021-10-27_final.stac-item
2021-10-27 10:40:55	ga_s2bm_ard_3-2-1_53LPF_2021-10-27_final.stac-item
2021-10-27 10:41:10	ga_s2bm_ard_3-2-1_53LPE_2021-10-27_final.stac-item
2021-10-27 10:41:21	ga_s2bm_ard_3-2-1_53LQD_2021-10-27_final.stac-item
2021-10-27 10:41:25	ga_s2bm_ard_3-2-1_53LPD_2021-10-27_final
2021-10-27 10:41:31	ga_s2bm_ard_3-2-1_53LND_2021-10-27_final.stac-item
2021-10-27 10:41:36	ga_s2bm_ard_3-2-1_53LQC_2021-10-27_final
2021-10-27 10:41:39	ga_s2bm_ard_3-2-1_53LPC_2021-10-27_final
2021-10-27 10:41:43	ga_s2bm_ard_3-2-1_53LNC_2021-10-27_final.stac-item
2021-10-27 10:41:44	ga_s2bm_ard_3-2-1_54KTG_2021-10-27_final.stac-item
2021-10-27 10:41:47	ga_s2bm_ard_3-2-1_53KRB_2021-10-27_final
2021-10-29 09:46:18	ga_s2bm_ard_3-2-1_55HEC_2021-10-29_final.stac-item
2021-10-29 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2021-10-29_final.stac-item
2021-10-29 09:46:22	ga_s2bm_ard_3-2-1_55HDC_2021-10-29_final.stac-item
2021-10-29 09:46:28	ga_s2bm_ard_3-2-1_55HFB_2021-10-29_final.stac-item
2021-10-29 09:46:29	ga_s2bm_ard_3-2-1_55HCC_2021-10-29_final.stac-item
2021-10-29 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2021-10-29_final.stac-item
2021-10-29 09:46:36	ga_s2bm_ard_3-2-1_55HDB_2021-10-29_final.stac-item
2021-10-29 09:46:40	ga_s2bm_ard_3-2-1_55HCB_2021-10-29_final.stac-item
2021-10-29 09:46:43	ga_s2bm_ard_3-2-1_55HFA_2021-10-29_final.stac-item
2021-10-29 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-10-29_final.stac-item
2021-10-29 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2021-10-29_final.stac-item
2021-10-29 09:46:54	ga_s2bm_ard_3-2-1_55HCA_2021-10-29_final.stac-item
2021-10-29 09:46:58	ga_s2bm_ard_3-2-1_55HFV_2021-10-29_final.stac-item
2021-10-29 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2021-10-29_final.stac-item
2021-10-29 09:47:05	ga_s2bm_ard_3-2-1_55HDV_2021-10-29_final.stac-item
2021-10-29 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2021-10-29_final.stac-item
2021-10-29 09:47:10	ga_s2bm_ard_3-2-1_55HFU_2021-10-29_final
2021-10-29 09:47:16	ga_s2bm_ard_3-2-1_55HEU_2021-10-29_final.stac-item
2021-10-29 09:47:19	ga_s2bm_ard_3-2-1_55HDU_2021-10-29_final.stac-item
2021-10-29 09:47:20	ga_s2bm_ard_3-2-1_55HFT_2021-10-29_final
2021-10-29 09:47:22	ga_s2bm_ard_3-2-1_55HCU_2021-10-29_final.stac-item
2021-10-29 09:47:25	ga_s2bm_ard_3-2-1_55HET_2021-10-29_final.stac-item
2021-10-29 09:47:27	ga_s2bm_ard_3-2-1_55HDU_2021-10-29_final.stac-item
2021-10-29 09:47:27	ga_s2bm_ard_3-2-1_55HDT_2021-10-29_final.stac-item
2021-10-29 09:47:28	ga_s2bm_ard_3-2-1_55HCT_2021-10-29_final.stac-item
2021-10-29 09:47:28	ga_s2bm_ard_3-2-1_55HCU_2021-10-29_final.stac-item
2021-10-29 09:47:31	ga_s2bm_ard_3-2-1_55HBU_2021-10-29_final.stac-item
2021-10-29 09:47:32	ga_s2bm_ard_3-2-1_55HET_2021-10-29_final.stac-item
2021-10-29 09:47:34	ga_s2bm_ard_3-2-1_55HDT_2021-10-29_final.stac-item
2021-10-29 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2021-10-29_final.stac-item
2021-10-29 09:47:41	ga_s2bm_ard_3-2-1_55HBT_2021-10-29_final.stac-item
2021-10-29 09:47:45	ga_s2bm_ard_3-2-1_55HES_2021-10-29_final.stac-item
2021-10-29 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2021-10-29_final.stac-item
2021-10-29 09:47:49	ga_s2bm_ard_3-2-1_55HDS_2021-10-29_final.stac-item
2021-10-29 09:47:52	ga_s2bm_ard_3-2-1_55HCS_2021-10-29_final.stac-item
2021-10-29 09:47:55	ga_s2bm_ard_3-2-1_55HBS_2021-10-29_final.stac-item
2021-10-29 09:47:56	ga_s2bm_ard_3-2-1_54HYB_2021-10-29_final.stac-item
2021-10-29 09:47:59	ga_s2bm_ard_3-2-1_55GER_2021-10-29_final.stac-item
2021-10-29 09:48:03	ga_s2bm_ard_3-2-1_55GDR_2021-10-29_final.stac-item
2021-10-29 09:48:07	ga_s2bm_ard_3-2-1_55GCR_2021-10-29_final.stac-item
2021-10-29 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2021-10-29_final.stac-item
2021-10-29 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2021-10-29_final.stac-item
2021-10-29 09:48:13	ga_s2bm_ard_3-2-1_55GEQ_2021-10-29_final.stac-item
2021-10-29 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2021-10-29_final.stac-item
2021-10-29 09:48:21	ga_s2bm_ard_3-2-1_55GCQ_2021-10-29_final.stac-item
2021-10-29 09:48:23	ga_s2bm_ard_3-2-1_55GEP_2021-10-29_final.stac-item
2021-10-29 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2021-10-29_final
2021-10-29 09:48:25	ga_s2bm_ard_3-2-1_54GYV_2021-10-29_final
2021-10-29 09:48:32	ga_s2bm_ard_3-2-1_55GDP_2021-10-29_final.stac-item

Return to ga_s2bm_ard_3 across October 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

October

All days