Search ga_s2bm_ard_3 whole collection

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
2019-06-01 10:17:08	ga_s2bm_ard_3-2-1_54HUF_2019-06-01_final
2019-06-01 10:17:12	ga_s2bm_ard_3-2-1_54HWE_2019-06-01_final
2019-06-01 10:17:19	ga_s2bm_ard_3-2-1_54HVE_2019-06-01_final
2019-06-01 10:17:23	ga_s2bm_ard_3-2-1_54HUE_2019-06-01_final.stac-item
2019-06-01 10:17:26	ga_s2bm_ard_3-2-1_54HTE_2019-06-01_final.stac-item
2019-06-01 10:17:27	ga_s2bm_ard_3-2-1_53HQV_2019-06-01_final.stac-item
2019-06-01 10:17:34	ga_s2bm_ard_3-2-1_54HVD_2019-06-01_final
2019-06-01 10:17:38	ga_s2bm_ard_3-2-1_54HUD_2019-06-01_final.stac-item
2019-06-01 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-06-01_final.stac-item
2019-06-01 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-06-01_final
2019-06-01 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-06-01_final
2019-06-01 11:53:28	ga_s2bm_ard_3-2-1_50KQC_2019-06-01_final
2019-06-01 11:54:13	ga_s2bm_ard_3-2-1_50KPV_2019-06-01_final
2019-06-01 11:54:21	ga_s2bm_ard_3-2-1_50KQU_2019-06-01_final
2019-06-01 11:54:31	ga_s2bm_ard_3-2-1_50KNU_2019-06-01_final
2019-06-01 11:54:31	ga_s2bm_ard_3-2-1_50JQT_2019-06-01_final
2019-06-01 11:54:34	ga_s2bm_ard_3-2-1_50KMU_2019-06-01_final
2019-06-01 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-01_final
2019-06-01 11:55:18	ga_s2bm_ard_3-2-1_50JMR_2019-06-01_final
2019-06-01 11:55:21	ga_s2bm_ard_3-2-1_50JLR_2019-06-01_final
2019-06-01 11:55:24	ga_s2bm_ard_3-2-1_50JPQ_2019-06-01_final
2019-06-01 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-06-01_final
2019-06-01 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-06-01_final
2019-06-01 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-06-01_final
2019-06-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-01_final
2019-06-01 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-06-01_final
2019-06-01 11:55:58	ga_s2bm_ard_3-2-1_50JNN_2019-06-01_final
2019-06-01 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-06-01_final
2019-06-01 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-06-01_final
2019-06-01 11:56:19	ga_s2bm_ard_3-2-1_50JLM_2019-06-01_final
2019-06-01 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-06-01_final
2019-06-01 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-06-01_final
2019-06-01 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-06-01_final
2019-06-01 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-06-01_final
2019-06-01 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-06-01_final
2019-06-01 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-01_final
2019-06-01 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-01_final.stac-item
2019-06-02 09:41:32	ga_s2bm_ard_3-2-1_56KMG_2019-06-02_final.stac-item
2019-06-02 09:41:35	ga_s2bm_ard_3-2-1_56KLG_2019-06-02_final.stac-item
2019-06-02 09:41:46	ga_s2bm_ard_3-2-1_56KMF_2019-06-02_final.stac-item
2019-06-02 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-06-02_final.stac-item
2019-06-02 09:42:41	ga_s2bm_ard_3-2-1_55KGT_2019-06-02_final
2019-06-02 09:42:44	ga_s2bm_ard_3-2-1_56KMB_2019-06-02_final.stac-item
2019-06-02 09:43:17	ga_s2bm_ard_3-2-1_56KLV_2019-06-02_final
2019-06-02 09:43:20	ga_s2bm_ard_3-2-1_55KHQ_2019-06-02_final
2019-06-02 09:43:35	ga_s2bm_ard_3-2-1_55KHP_2019-06-02_final
2019-06-02 09:43:38	ga_s2bm_ard_3-2-1_55KGP_2019-06-02_final
2019-06-02 09:43:53	ga_s2bm_ard_3-2-1_55JGN_2019-06-02_final
2019-06-02 09:44:00	ga_s2bm_ard_3-2-1_56JLS_2019-06-02_final
2019-06-02 09:44:04	ga_s2bm_ard_3-2-1_56JKS_2019-06-02_final
2019-06-02 09:44:24	ga_s2bm_ard_3-2-1_56JLQ_2019-06-02_final
2019-06-02 09:44:25	ga_s2bm_ard_3-2-1_55JFL_2019-06-02_final
2019-06-02 09:44:31	ga_s2bm_ard_3-2-1_56JKQ_2019-06-02_final
2019-06-02 09:44:34	ga_s2bm_ard_3-2-1_55JGK_2019-06-02_final
2019-06-02 09:44:35	ga_s2bm_ard_3-2-1_55JFK_2019-06-02_final
2019-06-02 09:44:37	ga_s2bm_ard_3-2-1_55JEK_2019-06-02_final
2019-06-02 09:44:38	ga_s2bm_ard_3-2-1_56JKP_2019-06-02_final
2019-06-02 09:44:38	ga_s2bm_ard_3-2-1_56JKQ_2019-06-02_final
2019-06-02 09:44:40	ga_s2bm_ard_3-2-1_55JGK_2019-06-02_final
2019-06-02 09:44:42	ga_s2bm_ard_3-2-1_55JFK_2019-06-02_final
2019-06-02 09:44:45	ga_s2bm_ard_3-2-1_55JEK_2019-06-02_final
2019-06-02 09:44:47	ga_s2bm_ard_3-2-1_56JKP_2019-06-02_final
2019-06-02 09:44:51	ga_s2bm_ard_3-2-1_55JGJ_2019-06-02_final
2019-06-02 09:44:54	ga_s2bm_ard_3-2-1_55JFJ_2019-06-02_final
2019-06-02 09:45:09	ga_s2bm_ard_3-2-1_55JFH_2019-06-02_final
2019-06-02 09:45:12	ga_s2bm_ard_3-2-1_55JEH_2019-06-02_final
2019-06-02 09:45:17	ga_s2bm_ard_3-2-1_56JKM_2019-06-02_final
2019-06-02 09:45:23	ga_s2bm_ard_3-2-1_55JFG_2019-06-02_final
2019-06-02 09:45:27	ga_s2bm_ard_3-2-1_55JEG_2019-06-02_final
2019-06-02 09:45:30	ga_s2bm_ard_3-2-1_56JKL_2019-06-02_final
2019-06-02 09:45:34	ga_s2bm_ard_3-2-1_55JGF_2019-06-02_final
2019-06-02 09:45:34	ga_s2bm_ard_3-2-1_55JDG_2019-06-02_final
2019-06-02 09:45:38	ga_s2bm_ard_3-2-1_55JFF_2019-06-02_final
2019-06-02 09:45:41	ga_s2bm_ard_3-2-1_56HKK_2019-06-02_final
2019-06-02 09:45:48	ga_s2bm_ard_3-2-1_55HGE_2019-06-02_final
2019-06-02 09:45:52	ga_s2bm_ard_3-2-1_55HFE_2019-06-02_final
2019-06-02 09:45:56	ga_s2bm_ard_3-2-1_55HEE_2019-06-02_final
2019-06-02 09:45:59	ga_s2bm_ard_3-2-1_55HDE_2019-06-02_final
2019-06-02 09:46:35	ga_s2bm_ard_3-2-1_55HFB_2019-06-02_final
2019-06-02 09:46:36	ga_s2bm_ard_3-2-1_55HCC_2019-06-02_final
2019-06-02 09:46:47	ga_s2bm_ard_3-2-1_55HCB_2019-06-02_final
2019-06-02 09:47:00	ga_s2bm_ard_3-2-1_55HCA_2019-06-02_final
2019-06-02 09:47:04	ga_s2bm_ard_3-2-1_55HFV_2019-06-02_final
2019-06-02 09:47:08	ga_s2bm_ard_3-2-1_55HEV_2019-06-02_final
2019-06-02 09:47:12	ga_s2bm_ard_3-2-1_55HDV_2019-06-02_final
2019-06-02 09:47:15	ga_s2bm_ard_3-2-1_55HCV_2019-06-02_final
2019-06-02 09:47:17	ga_s2bm_ard_3-2-1_55HFU_2019-06-02_final.stac-item
2019-06-02 09:47:23	ga_s2bm_ard_3-2-1_55HEU_2019-06-02_final
2019-06-02 09:47:26	ga_s2bm_ard_3-2-1_55HDU_2019-06-02_final
2019-06-02 09:47:30	ga_s2bm_ard_3-2-1_55HCU_2019-06-02_final
2019-06-02 09:47:37	ga_s2bm_ard_3-2-1_55HBU_2019-06-02_final
2019-06-02 09:48:06	ga_s2bm_ard_3-2-1_55GER_2019-06-02_final
2019-06-02 09:48:10	ga_s2bm_ard_3-2-1_55GDR_2019-06-02_final
2019-06-02 09:48:14	ga_s2bm_ard_3-2-1_55GCR_2019-06-02_final
2019-06-02 09:48:17	ga_s2bm_ard_3-2-1_55GBR_2019-06-02_final
2019-06-02 09:48:17	ga_s2bm_ard_3-2-1_54GYA_2019-06-02_final
2019-06-02 09:48:20	ga_s2bm_ard_3-2-1_55GEQ_2019-06-02_final
2019-06-02 09:48:24	ga_s2bm_ard_3-2-1_55GDQ_2019-06-02_final
2019-06-02 09:48:28	ga_s2bm_ard_3-2-1_55GCQ_2019-06-02_final
2019-06-02 09:48:31	ga_s2bm_ard_3-2-1_55GBQ_2019-06-02_final.stac-item

Return to ga_s2bm_ard_3 whole collection 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

All years