Search ga_s2bm_ard_3 on 2nd January 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
2021-01-02 09:41:43	ga_s2bm_ard_3-2-1_56KKF_2021-01-02_final
2021-01-02 09:42:32	ga_s2bm_ard_3-2-1_55KGT_2021-01-02_final
2021-01-02 09:42:42	ga_s2bm_ard_3-2-1_55KHS_2021-01-02_final
2021-01-02 09:42:48	ga_s2bm_ard_3-2-1_56KMA_2021-01-02_final
2021-01-02 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2021-01-02_final
2021-01-02 09:43:00	ga_s2bm_ard_3-2-1_55KGR_2021-01-02_final
2021-01-02 09:43:10	ga_s2bm_ard_3-2-1_56KKV_2021-01-02_final
2021-01-02 09:43:11	ga_s2bm_ard_3-2-1_55KHQ_2021-01-02_final
2021-01-02 09:43:14	ga_s2bm_ard_3-2-1_55KGQ_2021-01-02_final
2021-01-02 09:43:21	ga_s2bm_ard_3-2-1_56KLU_2021-01-02_final
2021-01-02 09:43:25	ga_s2bm_ard_3-2-1_55KHP_2021-01-02_final
2021-01-02 09:43:33	ga_s2bm_ard_3-2-1_55KFP_2021-01-02_final
2021-01-02 09:43:39	ga_s2bm_ard_3-2-1_55JHN_2021-01-02_final
2021-01-02 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2021-01-02_final
2021-01-02 09:43:54	ga_s2bm_ard_3-2-1_56JKS_2021-01-02_final
2021-01-02 09:44:09	ga_s2bm_ard_3-2-1_56JKR_2021-01-02_final
2021-01-02 09:44:12	ga_s2bm_ard_3-2-1_55JGL_2021-01-02_final
2021-01-02 09:44:15	ga_s2bm_ard_3-2-1_56JLQ_2021-01-02_final
2021-01-02 09:44:16	ga_s2bm_ard_3-2-1_55JFL_2021-01-02_final
2021-01-02 09:44:23	ga_s2bm_ard_3-2-1_55JEL_2021-01-02_final
2021-01-02 09:44:30	ga_s2bm_ard_3-2-1_55JFK_2021-01-02_final
2021-01-02 09:45:07	ga_s2bm_ard_3-2-1_56JKM_2021-01-02_final
2021-01-02 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2021-01-02_final
2021-01-02 09:45:14	ga_s2bm_ard_3-2-1_55JFG_2021-01-02_final
2021-01-02 09:45:17	ga_s2bm_ard_3-2-1_55JEG_2021-01-02_final
2021-01-02 09:45:20	ga_s2bm_ard_3-2-1_56JKL_2021-01-02_final
2021-01-02 09:45:24	ga_s2bm_ard_3-2-1_55JGF_2021-01-02_final
2021-01-02 09:45:25	ga_s2bm_ard_3-2-1_55JDG_2021-01-02_final
2021-01-02 09:45:42	ga_s2bm_ard_3-2-1_55HFE_2021-01-02_final
2021-01-02 09:46:11	ga_s2bm_ard_3-2-1_55HFC_2021-01-02_final
2021-01-02 09:46:55	ga_s2bm_ard_3-2-1_55HFV_2021-01-02_final
2021-01-02 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2021-01-02_final
2021-01-02 09:47:02	ga_s2bm_ard_3-2-1_55HDV_2021-01-02_final
2021-01-02 09:47:06	ga_s2bm_ard_3-2-1_55HCV_2021-01-02_final
2021-01-02 09:47:18	ga_s2bm_ard_3-2-1_55HFT_2021-01-02_final.stac-item
2021-01-02 09:47:27	ga_s2bm_ard_3-2-1_55HET_2021-01-02_final
2021-01-02 09:47:31	ga_s2bm_ard_3-2-1_55HDT_2021-01-02_final
2021-01-02 09:47:35	ga_s2bm_ard_3-2-1_55HCT_2021-01-02_final
2021-01-02 09:47:39	ga_s2bm_ard_3-2-1_55HBT_2021-01-02_final
2021-01-02 09:47:43	ga_s2bm_ard_3-2-1_54HYC_2021-01-02_final
2021-01-02 09:48:00	ga_s2bm_ard_3-2-1_55GDR_2021-01-02_final
2021-01-02 09:48:04	ga_s2bm_ard_3-2-1_55GCR_2021-01-02_final
2021-01-02 09:48:06	ga_s2bm_ard_3-2-1_55GBR_2021-01-02_final
2021-01-02 09:48:06	ga_s2bm_ard_3-2-1_54GYA_2021-01-02_final
2021-01-02 09:48:07	ga_s2bm_ard_3-2-1_55GEQ_2021-01-02_final
2021-01-02 09:48:11	ga_s2bm_ard_3-2-1_55GCR_2021-01-02_final
2021-01-02 09:48:11	ga_s2bm_ard_3-2-1_55GCQ_2021-01-02_final
2021-01-02 09:48:12	ga_s2bm_ard_3-2-1_55GBQ_2021-01-02_final.stac-item
2021-01-02 09:48:12	ga_s2bm_ard_3-2-1_55GBR_2021-01-02_final
2021-01-02 09:48:12	ga_s2bm_ard_3-2-1_54GYA_2021-01-02_final
2021-01-02 09:48:13	ga_s2bm_ard_3-2-1_55GEQ_2021-01-02_final
2021-01-02 09:48:13	ga_s2bm_ard_3-2-1_54GYV_2021-01-02_final.stac-item
2021-01-02 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2021-01-02_final
2021-01-02 09:48:20	ga_s2bm_ard_3-2-1_55GEP_2021-01-02_final
2021-01-02 09:48:22	ga_s2bm_ard_3-2-1_55GBQ_2021-01-02_final.stac-item
2021-01-02 09:48:22	ga_s2bm_ard_3-2-1_54GYV_2021-01-02_final.stac-item
2021-01-02 09:48:29	ga_s2bm_ard_3-2-1_55GDP_2021-01-02_final
2021-01-02 09:48:33	ga_s2bm_ard_3-2-1_55GCP_2021-01-02_final
2021-01-02 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2021-01-02_final
2021-01-02 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2021-01-02_final
2021-01-02 09:48:56	ga_s2bm_ard_3-2-1_55GDM_2021-01-02_final.stac-item
2021-01-02 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2021-01-02_final.stac-item
2021-01-02 11:21:37	ga_s2bm_ard_3-2-1_52LBJ_2021-01-02_final
2021-01-02 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2021-01-02_final
2021-01-02 11:22:10	ga_s2bm_ard_3-2-1_52KBF_2021-01-02_final
2021-01-02 11:22:21	ga_s2bm_ard_3-2-1_52KBF_2021-01-02_final
2021-01-02 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2021-01-02_final
2021-01-02 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2021-01-02_final
2021-01-02 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2021-01-02_final
2021-01-02 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-01-02_final
2021-01-02 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-01-02_final
2021-01-02 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-01-02_final
2021-01-02 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-01-02_final
2021-01-02 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-01-02_final
2021-01-02 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-01-02_final
2021-01-02 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2021-01-02_final
2021-01-02 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-01-02_final
2021-01-02 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2021-01-02_final
2021-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2021-01-02_final
2021-01-02 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-01-02_final
2021-01-02 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2021-01-02_final
2021-01-02 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2021-01-02_final
2021-01-02 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2021-01-02_final
2021-01-02 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2021-01-02_final
2021-01-02 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2021-01-02_final
2021-01-02 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-01-02_final
2021-01-02 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2021-01-02_final
2021-01-02 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2021-01-02_final
2021-01-02 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2021-01-02_final
2021-01-02 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2021-01-02_final
2021-01-02 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2021-01-02_final
2021-01-02 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2021-01-02_final
2021-01-02 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2021-01-02_final
2021-01-02 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2021-01-02_final
2021-01-02 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2021-01-02_final
2021-01-02 11:25:59	ga_s2bm_ard_3-2-1_51JVG_2021-01-02_final
2021-01-02 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2021-01-02_final
2021-01-02 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2021-01-02_final
2021-01-02 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-01-02_final
2021-01-02 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2021-01-02_final.stac-item

Return to ga_s2bm_ard_3 on 2nd January 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

January

2nd