Search ga_s2bm_ard_3 on 8th October 2021

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-10-08 10:10:51	ga_s2bm_ard_3-2-1_55LCE_2021-10-08_final
2021-10-08 10:10:54	ga_s2bm_ard_3-2-1_55LBE_2021-10-08_final
2021-10-08 10:10:55	ga_s2bm_ard_3-2-1_54LZK_2021-10-08_final
2021-10-08 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2021-10-08_final
2021-10-08 10:11:05	ga_s2bm_ard_3-2-1_55LCD_2021-10-08_final
2021-10-08 10:11:09	ga_s2bm_ard_3-2-1_55LBD_2021-10-08_final
2021-10-08 10:11:10	ga_s2bm_ard_3-2-1_54LZJ_2021-10-08_final
2021-10-08 10:11:13	ga_s2bm_ard_3-2-1_54LYJ_2021-10-08_final
2021-10-08 10:11:20	ga_s2bm_ard_3-2-1_55LCC_2021-10-08_final
2021-10-08 10:11:23	ga_s2bm_ard_3-2-1_55LBC_2021-10-08_final
2021-10-08 10:11:24	ga_s2bm_ard_3-2-1_54LZH_2021-10-08_final
2021-10-08 10:11:27	ga_s2bm_ard_3-2-1_54LYH_2021-10-08_final
2021-10-08 10:11:34	ga_s2bm_ard_3-2-1_55KCB_2021-10-08_final
2021-10-08 10:11:49	ga_s2bm_ard_3-2-1_55KCA_2021-10-08_final
2021-10-08 10:12:02	ga_s2bm_ard_3-2-1_54KXF_2021-10-08_final
2021-10-08 10:12:15	ga_s2bm_ard_3-2-1_54KXE_2021-10-08_final
2021-10-08 10:12:21	ga_s2bm_ard_3-2-1_55KBU_2021-10-08_final
2021-10-08 10:12:22	ga_s2bm_ard_3-2-1_54KZD_2021-10-08_final
2021-10-08 10:12:26	ga_s2bm_ard_3-2-1_54KYD_2021-10-08_final
2021-10-08 10:12:28	ga_s2bm_ard_3-2-1_55KCT_2021-10-08_final
2021-10-08 10:12:36	ga_s2bm_ard_3-2-1_55KBT_2021-10-08_final
2021-10-08 10:12:37	ga_s2bm_ard_3-2-1_54KZC_2021-10-08_final
2021-10-08 10:12:40	ga_s2bm_ard_3-2-1_54KYC_2021-10-08_final
2021-10-08 10:12:44	ga_s2bm_ard_3-2-1_54KXC_2021-10-08_final
2021-10-08 10:12:50	ga_s2bm_ard_3-2-1_55KBS_2021-10-08_final
2021-10-08 10:12:51	ga_s2bm_ard_3-2-1_54KZB_2021-10-08_final
2021-10-08 10:12:55	ga_s2bm_ard_3-2-1_54KYB_2021-10-08_final
2021-10-08 10:13:05	ga_s2bm_ard_3-2-1_55KBR_2021-10-08_final
2021-10-08 10:13:13	ga_s2bm_ard_3-2-1_54KXA_2021-10-08_final
2021-10-08 10:13:20	ga_s2bm_ard_3-2-1_54KZV_2021-10-08_final
2021-10-08 10:13:27	ga_s2bm_ard_3-2-1_54KXV_2021-10-08_final
2021-10-08 10:13:30	ga_s2bm_ard_3-2-1_54KWV_2021-10-08_final
2021-10-08 10:13:33	ga_s2bm_ard_3-2-1_55KBP_2021-10-08_final
2021-10-08 10:13:34	ga_s2bm_ard_3-2-1_54KZU_2021-10-08_final
2021-10-08 10:13:38	ga_s2bm_ard_3-2-1_54KYU_2021-10-08_final
2021-10-08 10:13:42	ga_s2bm_ard_3-2-1_54KXU_2021-10-08_final
2021-10-08 10:13:45	ga_s2bm_ard_3-2-1_54KWU_2021-10-08_final
2021-10-08 10:13:46	ga_s2bm_ard_3-2-1_54JZT_2021-10-08_final
2021-10-08 10:13:53	ga_s2bm_ard_3-2-1_54JZT_2021-10-08_final
2021-10-08 10:14:14	ga_s2bm_ard_3-2-1_54JWS_2021-10-08_final
2021-10-08 10:14:18	ga_s2bm_ard_3-2-1_54JVS_2021-10-08_final
2021-10-08 10:14:21	ga_s2bm_ard_3-2-1_54JYR_2021-10-08_final
2021-10-08 10:14:36	ga_s2bm_ard_3-2-1_54JYQ_2021-10-08_final
2021-10-08 10:14:48	ga_s2bm_ard_3-2-1_54JYP_2021-10-08_final
2021-10-08 10:15:12	ga_s2bm_ard_3-2-1_54JWN_2021-10-08_final
2021-10-08 10:15:16	ga_s2bm_ard_3-2-1_54JVN_2021-10-08_final
2021-10-08 10:15:23	ga_s2bm_ard_3-2-1_54JXM_2021-10-08_final
2021-10-08 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2021-10-08_final
2021-10-08 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2021-10-08_final
2021-10-08 10:15:45	ga_s2bm_ard_3-2-1_54JVL_2021-10-08_final
2021-10-08 10:15:55	ga_s2bm_ard_3-2-1_54HWK_2021-10-08_final
2021-10-08 10:15:59	ga_s2bm_ard_3-2-1_54HVK_2021-10-08_final
2021-10-08 10:16:00	ga_s2bm_ard_3-2-1_54HXJ_2021-10-08_final
2021-10-08 10:16:17	ga_s2bm_ard_3-2-1_54HUJ_2021-10-08_final
2021-10-08 10:16:31	ga_s2bm_ard_3-2-1_54HUH_2021-10-08_final
2021-10-08 10:16:39	ga_s2bm_ard_3-2-1_54HWG_2021-10-08_final
2021-10-08 10:16:43	ga_s2bm_ard_3-2-1_54HVG_2021-10-08_final
2021-10-08 10:16:49	ga_s2bm_ard_3-2-1_54HTG_2021-10-08_final
2021-10-08 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2021-10-08_final
2021-10-08 10:17:26	ga_s2bm_ard_3-2-1_54HVD_2021-10-08_final
2021-10-08 10:17:30	ga_s2bm_ard_3-2-1_54HUD_2021-10-08_final.stac-item
2021-10-08 10:17:38	ga_s2bm_ard_3-2-1_54HVC_2021-10-08_final.stac-item
2021-10-08 11:51:27	ga_s2bm_ard_3-2-1_51LUE_2021-10-08_final
2021-10-08 11:51:39	ga_s2bm_ard_3-2-1_51LUD_2021-10-08_final.stac-item
2021-10-08 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2021-10-08_final.stac-item
2021-10-08 11:52:54	ga_s2bm_ard_3-2-1_51KTU_2021-10-08_final
2021-10-08 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2021-10-08_final
2021-10-08 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-10-08_final.stac-item
2021-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-10-08_final
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final
2021-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-08_final
2021-10-08 11:53:32	ga_s2bm_ard_3-2-1_50KQB_2021-10-08_final
2021-10-08 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2021-10-08_final
2021-10-08 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2021-10-08_final
2021-10-08 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2021-10-08_final
2021-10-08 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2021-10-08_final
2021-10-08 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2021-10-08_final
2021-10-08 11:53:56	ga_s2bm_ard_3-2-1_50KQA_2021-10-08_final
2021-10-08 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2021-10-08_final
2021-10-08 11:53:57	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-10-08 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-10-08_final
2021-10-08 11:53:59	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-10-08 11:54:00	ga_s2bm_ard_3-2-1_50KPA_2021-10-08_final
2021-10-08 11:54:01	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-08 11:54:06	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-10-08 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-08 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2021-10-08_final
2021-10-08 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2021-10-08_final
2021-10-08 11:54:19	ga_s2bm_ard_3-2-1_50KPU_2021-10-08_final
2021-10-08 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2021-10-08_final
2021-10-08 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-10-08_final
2021-10-08 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2021-10-08_final
2021-10-08 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-10-08_final
2021-10-08 11:54:55	ga_s2bm_ard_3-2-1_50JMS_2021-10-08_final
2021-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-08_final
2021-10-08 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-10-08_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final
2021-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-08_final
2021-10-08 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-10-08_final
2021-10-08 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-10-08_final

Return to ga_s2bm_ard_3 on 8th October 2021 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2021

October

8th