Search ga_s2bm_ard_3 on 4th 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
2021-12-04 10:04:35	ga_s2bm_ard_3-2-1_54JYQ_2021-12-04_final.stac-item
2021-12-04 10:04:39	ga_s2bm_ard_3-2-1_54JXQ_2021-12-04_final.stac-item
2021-12-04 10:04:43	ga_s2bm_ard_3-2-1_55JCJ_2021-12-04_final.stac-item
2021-12-04 10:04:46	ga_s2bm_ard_3-2-1_55JBJ_2021-12-04_final.stac-item
2021-12-04 10:04:49	ga_s2bm_ard_3-2-1_54JYP_2021-12-04_final.stac-item
2021-12-04 10:04:53	ga_s2bm_ard_3-2-1_54JXP_2021-12-04_final.stac-item
2021-12-04 10:04:58	ga_s2bm_ard_3-2-1_55JCH_2021-12-04_final.stac-item
2021-12-04 10:05:01	ga_s2bm_ard_3-2-1_55JBH_2021-12-04_final.stac-item
2021-12-04 10:05:04	ga_s2bm_ard_3-2-1_54JYN_2021-12-04_final.stac-item
2021-12-04 10:05:07	ga_s2bm_ard_3-2-1_54JXN_2021-12-04_final.stac-item
2021-12-04 10:05:12	ga_s2bm_ard_3-2-1_55JCG_2021-12-04_final.stac-item
2021-12-04 10:05:16	ga_s2bm_ard_3-2-1_55JBG_2021-12-04_final.stac-item
2021-12-04 10:05:18	ga_s2bm_ard_3-2-1_54JYM_2021-12-04_final.stac-item
2021-12-04 10:05:22	ga_s2bm_ard_3-2-1_54JXM_2021-12-04_final.stac-item
2021-12-04 10:05:24	ga_s2bm_ard_3-2-1_55JCF_2021-12-04_final.stac-item
2021-12-04 10:05:28	ga_s2bm_ard_3-2-1_54JWM_2021-12-04_final.stac-item
2021-12-04 10:05:30	ga_s2bm_ard_3-2-1_55JBF_2021-12-04_final.stac-item
2021-12-04 10:05:33	ga_s2bm_ard_3-2-1_54JYL_2021-12-04_final.stac-item
2021-12-04 10:05:34	ga_s2bm_ard_3-2-1_55HCE_2021-12-04_final.stac-item
2021-12-04 10:05:36	ga_s2bm_ard_3-2-1_54JXL_2021-12-04_final.stac-item
2021-12-04 10:05:40	ga_s2bm_ard_3-2-1_54JWL_2021-12-04_final.stac-item
2021-12-04 10:05:44	ga_s2bm_ard_3-2-1_55HBE_2021-12-04_final.stac-item
2021-12-04 10:05:47	ga_s2bm_ard_3-2-1_54HYK_2021-12-04_final.stac-item
2021-12-04 10:05:50	ga_s2bm_ard_3-2-1_54HXK_2021-12-04_final.stac-item
2021-12-04 10:05:51	ga_s2bm_ard_3-2-1_54HWK_2021-12-04_final.stac-item
2021-12-04 10:05:54	ga_s2bm_ard_3-2-1_55HBD_2021-12-04_final.stac-item
2021-12-04 10:05:55	ga_s2bm_ard_3-2-1_54HYJ_2021-12-04_final.stac-item
2021-12-04 10:05:55	ga_s2bm_ard_3-2-1_54HYK_2021-12-04_final.stac-item
2021-12-04 10:05:56	ga_s2bm_ard_3-2-1_54HXK_2021-12-04_final.stac-item
2021-12-04 10:05:57	ga_s2bm_ard_3-2-1_54HXJ_2021-12-04_final.stac-item
2021-12-04 10:05:58	ga_s2bm_ard_3-2-1_54HWK_2021-12-04_final.stac-item
2021-12-04 10:06:00	ga_s2bm_ard_3-2-1_55HBD_2021-12-04_final.stac-item
2021-12-04 10:06:02	ga_s2bm_ard_3-2-1_54HYJ_2021-12-04_final.stac-item
2021-12-04 10:06:05	ga_s2bm_ard_3-2-1_54HXJ_2021-12-04_final.stac-item
2021-12-04 10:06:09	ga_s2bm_ard_3-2-1_54HWJ_2021-12-04_final.stac-item
2021-12-04 10:06:14	ga_s2bm_ard_3-2-1_55HBC_2021-12-04_final.stac-item
2021-12-04 10:06:16	ga_s2bm_ard_3-2-1_54HYH_2021-12-04_final.stac-item
2021-12-04 10:06:20	ga_s2bm_ard_3-2-1_54HXH_2021-12-04_final.stac-item
2021-12-04 10:06:23	ga_s2bm_ard_3-2-1_54HWH_2021-12-04_final.stac-item
2021-12-04 10:06:28	ga_s2bm_ard_3-2-1_55HBB_2021-12-04_final.stac-item
2021-12-04 10:06:29	ga_s2bm_ard_3-2-1_54HVH_2021-12-04_final.stac-item
2021-12-04 10:06:30	ga_s2bm_ard_3-2-1_54HYG_2021-12-04_final.stac-item
2021-12-04 10:06:34	ga_s2bm_ard_3-2-1_54HXG_2021-12-04_final.stac-item
2021-12-04 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2021-12-04_final.stac-item
2021-12-04 10:06:41	ga_s2bm_ard_3-2-1_55HBA_2021-12-04_final.stac-item
2021-12-04 10:06:41	ga_s2bm_ard_3-2-1_54HVG_2021-12-04_final.stac-item
2021-12-04 10:06:45	ga_s2bm_ard_3-2-1_54HYF_2021-12-04_final.stac-item
2021-12-04 10:06:49	ga_s2bm_ard_3-2-1_54HXF_2021-12-04_final.stac-item
2021-12-04 10:06:51	ga_s2bm_ard_3-2-1_55HBV_2021-12-04_final.stac-item
2021-12-04 10:06:52	ga_s2bm_ard_3-2-1_54HWF_2021-12-04_final.stac-item
2021-12-04 10:06:56	ga_s2bm_ard_3-2-1_54HVF_2021-12-04_final.stac-item
2021-12-04 10:06:58	ga_s2bm_ard_3-2-1_54HYE_2021-12-04_final.stac-item
2021-12-04 10:07:03	ga_s2bm_ard_3-2-1_54HXE_2021-12-04_final.stac-item
2021-12-04 10:07:07	ga_s2bm_ard_3-2-1_54HWE_2021-12-04_final.stac-item
2021-12-04 10:07:10	ga_s2bm_ard_3-2-1_54HYD_2021-12-04_final.stac-item
2021-12-04 10:07:10	ga_s2bm_ard_3-2-1_54HVE_2021-12-04_final.stac-item
2021-12-04 10:07:17	ga_s2bm_ard_3-2-1_54HXD_2021-12-04_final.stac-item
2021-12-04 10:07:21	ga_s2bm_ard_3-2-1_54HWD_2021-12-04_final.stac-item
2021-12-04 10:07:25	ga_s2bm_ard_3-2-1_54HVD_2021-12-04_final.stac-item
2021-12-04 10:07:30	ga_s2bm_ard_3-2-1_54HUD_2021-12-04_final
2021-12-04 10:07:32	ga_s2bm_ard_3-2-1_54HXC_2021-12-04_final.stac-item
2021-12-04 10:07:36	ga_s2bm_ard_3-2-1_54HWC_2021-12-04_final.stac-item
2021-12-04 10:07:39	ga_s2bm_ard_3-2-1_54HVC_2021-12-04_final
2021-12-04 11:40:53	ga_s2bm_ard_3-2-1_51LWG_2021-12-04_final
2021-12-04 11:40:56	ga_s2bm_ard_3-2-1_51LVG_2021-12-04_final.stac-item
2021-12-04 11:41:10	ga_s2bm_ard_3-2-1_51LVF_2021-12-04_final.stac-item
2021-12-04 11:41:14	ga_s2bm_ard_3-2-1_51LUF_2021-12-04_final.stac-item
2021-12-04 11:41:21	ga_s2bm_ard_3-2-1_51LWE_2021-12-04_final.stac-item
2021-12-04 11:41:25	ga_s2bm_ard_3-2-1_51LVE_2021-12-04_final.stac-item
2021-12-04 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2021-12-04_final.stac-item
2021-12-04 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2021-12-04_final.stac-item
2021-12-04 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2021-12-04_final.stac-item
2021-12-04 11:41:57	ga_s2bm_ard_3-2-1_51LUC_2021-12-04_final
2021-12-04 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2021-12-04_final.stac-item
2021-12-04 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2021-12-04_final.stac-item
2021-12-04 11:42:17	ga_s2bm_ard_3-2-1_51KWA_2021-12-04_final.stac-item
2021-12-04 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-12-04_final.stac-item
2021-12-04 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2021-12-04_final.stac-item
2021-12-04 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-04_final.stac-item
2021-12-04 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-12-04_final.stac-item
2021-12-04 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2021-12-04_final.stac-item
2021-12-04 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-12-04_final.stac-item
2021-12-04 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-12-04_final.stac-item
2021-12-04 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-12-04_final.stac-item
2021-12-04 11:43:04	ga_s2bm_ard_3-2-1_50KQD_2021-12-04_final
2021-12-04 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-12-04_final.stac-item
2021-12-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-04_final.stac-item
2021-12-04 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-12-04_final.stac-item
2021-12-04 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-12-04_final.stac-item
2021-12-04 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2021-12-04_final.stac-item
2021-12-04 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-12-04_final.stac-item
2021-12-04 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-12-04_final.stac-item
2021-12-04 11:43:28	ga_s2bm_ard_3-2-1_51KTS_2021-12-04_final.stac-item
2021-12-04 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2021-12-04_final.stac-item
2021-12-04 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2021-12-04_final.stac-item
2021-12-04 11:43:32	ga_s2bm_ard_3-2-1_50KQB_2021-12-04_final.stac-item
2021-12-04 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2021-12-04_final.stac-item
2021-12-04 11:43:42	ga_s2bm_ard_3-2-1_51KTR_2021-12-04_final.stac-item
2021-12-04 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2021-12-04_final.stac-item
2021-12-04 11:43:46	ga_s2bm_ard_3-2-1_50KQA_2021-12-04_final.stac-item

Return to ga_s2bm_ard_3 on 4th 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

4th