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
2019-03-03 10:16:22	ga_s2bm_ard_3-2-1_54HWH_2019-03-03_final
2019-03-03 10:16:26	ga_s2bm_ard_3-2-1_54HVH_2019-03-03_final
2019-03-03 10:16:32	ga_s2bm_ard_3-2-1_54HTH_2019-03-03_final
2019-03-03 10:16:37	ga_s2bm_ard_3-2-1_54HWG_2019-03-03_final
2019-03-03 10:16:40	ga_s2bm_ard_3-2-1_54HVG_2019-03-03_final
2019-03-03 10:16:44	ga_s2bm_ard_3-2-1_54HUG_2019-03-03_final
2019-03-03 10:16:47	ga_s2bm_ard_3-2-1_54HTG_2019-03-03_final
2019-03-03 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2019-03-03_final
2019-03-03 10:16:50	ga_s2bm_ard_3-2-1_54HWF_2019-03-03_final
2019-03-03 10:16:55	ga_s2bm_ard_3-2-1_54HVF_2019-03-03_final
2019-03-03 10:16:58	ga_s2bm_ard_3-2-1_54HUF_2019-03-03_final
2019-03-03 10:17:01	ga_s2bm_ard_3-2-1_54HTF_2019-03-03_final
2019-03-03 10:17:24	ga_s2bm_ard_3-2-1_54HVD_2019-03-03_final
2019-03-03 11:51:37	ga_s2bm_ard_3-2-1_51LUD_2019-03-03_final.stac-item
2019-03-03 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2019-03-03_final.stac-item
2019-03-03 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2019-03-03_final.stac-item
2019-03-03 11:52:47	ga_s2bm_ard_3-2-1_50KQE_2019-03-03_final.stac-item
2019-03-03 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-03-03_final
2019-03-03 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2019-03-03_final
2019-03-03 11:53:29	ga_s2bm_ard_3-2-1_50KMC_2019-03-03_final
2019-03-03 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2019-03-03_final
2019-03-03 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2019-03-03_final
2019-03-03 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2019-03-03_final
2019-03-03 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2019-03-03_final
2019-03-03 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2019-03-03_final
2019-03-03 11:54:09	ga_s2bm_ard_3-2-1_50KMV_2019-03-03_final
2019-03-03 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2019-03-03_final
2019-03-03 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2019-03-03_final
2019-03-03 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2019-03-03_final
2019-03-03 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2019-03-03_final
2019-03-03 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2019-03-03_final
2019-03-03 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2019-03-03_final
2019-03-03 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2019-03-03_final
2019-03-03 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2019-03-03_final
2019-03-03 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2019-03-03_final
2019-03-03 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2019-03-03_final
2019-03-03 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2019-03-03_final
2019-03-03 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2019-03-03_final
2019-03-03 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-03-03_final
2019-03-03 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2019-03-03_final
2019-03-03 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2019-03-03_final
2019-03-03 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2019-03-03_final
2019-03-03 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2019-03-03_final
2019-03-03 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2019-03-03_final
2019-03-03 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2019-03-03_final
2019-03-03 11:56:20	ga_s2bm_ard_3-2-1_50JML_2019-03-03_final
2019-03-03 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-03-03_final
2019-03-03 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2019-03-03_final
2019-03-03 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2019-03-03_final
2019-03-03 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2019-03-03_final
2019-03-03 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2019-03-03_final.stac-item
2019-03-03 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2019-03-03_final.stac-item
2019-03-04 09:41:42	ga_s2bm_ard_3-2-1_56KKF_2019-03-04_final
2019-03-04 09:42:05	ga_s2bm_ard_3-2-1_56KMD_2019-03-04_final.stac-item
2019-03-04 09:42:34	ga_s2bm_ard_3-2-1_56KMB_2019-03-04_final.stac-item
2019-03-04 09:42:38	ga_s2bm_ard_3-2-1_56KLB_2019-03-04_final
2019-03-04 09:42:44	ga_s2bm_ard_3-2-1_55KGS_2019-03-04_final
2019-03-04 09:42:48	ga_s2bm_ard_3-2-1_56KMA_2019-03-04_final
2019-03-04 09:42:52	ga_s2bm_ard_3-2-1_56KLA_2019-03-04_final
2019-03-04 09:42:55	ga_s2bm_ard_3-2-1_56KKA_2019-03-04_final
2019-03-04 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2019-03-04_final
2019-03-04 09:43:06	ga_s2bm_ard_3-2-1_56KLV_2019-03-04_final
2019-03-04 09:43:10	ga_s2bm_ard_3-2-1_56KKV_2019-03-04_final
2019-03-04 09:43:10	ga_s2bm_ard_3-2-1_55KHQ_2019-03-04_final
2019-03-04 09:43:14	ga_s2bm_ard_3-2-1_55KGQ_2019-03-04_final
2019-03-04 09:43:21	ga_s2bm_ard_3-2-1_56KLU_2019-03-04_final
2019-03-04 09:43:32	ga_s2bm_ard_3-2-1_55KFP_2019-03-04_final
2019-03-04 09:43:39	ga_s2bm_ard_3-2-1_55JHN_2019-03-04_final
2019-03-04 09:43:39	ga_s2bm_ard_3-2-1_56JKT_2019-03-04_final
2019-03-04 09:43:42	ga_s2bm_ard_3-2-1_55JGN_2019-03-04_final
2019-03-04 09:43:57	ga_s2bm_ard_3-2-1_55JGM_2019-03-04_final
2019-03-04 09:44:00	ga_s2bm_ard_3-2-1_55JFM_2019-03-04_final
2019-03-04 09:44:08	ga_s2bm_ard_3-2-1_56JKR_2019-03-04_final
2019-03-04 09:44:11	ga_s2bm_ard_3-2-1_55JGL_2019-03-04_final
2019-03-04 09:44:34	ga_s2bm_ard_3-2-1_55JEK_2019-03-04_final
2019-03-04 09:44:37	ga_s2bm_ard_3-2-1_56JKP_2019-03-04_final
2019-03-04 09:44:40	ga_s2bm_ard_3-2-1_55JGJ_2019-03-04_final
2019-03-04 09:44:53	ga_s2bm_ard_3-2-1_55JEH_2019-03-04_final
2019-03-04 09:45:02	ga_s2bm_ard_3-2-1_55JEH_2019-03-04_final
2019-03-04 09:45:06	ga_s2bm_ard_3-2-1_56JKM_2019-03-04_final
2019-03-04 09:45:09	ga_s2bm_ard_3-2-1_55JGG_2019-03-04_final
2019-03-04 09:45:27	ga_s2bm_ard_3-2-1_55JFF_2019-03-04_final
2019-03-04 09:45:31	ga_s2bm_ard_3-2-1_55JEF_2019-03-04_final
2019-03-04 09:45:35	ga_s2bm_ard_3-2-1_55JDF_2019-03-04_final
2019-03-04 09:45:45	ga_s2bm_ard_3-2-1_55HEE_2019-03-04_final
2019-03-04 09:45:49	ga_s2bm_ard_3-2-1_55HDE_2019-03-04_final
2019-03-04 09:45:52	ga_s2bm_ard_3-2-1_55HGD_2019-03-04_final
2019-03-04 09:46:05	ga_s2bm_ard_3-2-1_55HGC_2019-03-04_final
2019-03-04 09:46:14	ga_s2bm_ard_3-2-1_55HEC_2019-03-04_final
2019-03-04 09:46:15	ga_s2bm_ard_3-2-1_55HGB_2019-03-04_final
2019-03-04 09:46:18	ga_s2bm_ard_3-2-1_55HDC_2019-03-04_final
2019-03-04 09:46:25	ga_s2bm_ard_3-2-1_55HFB_2019-03-04_final
2019-03-04 09:46:29	ga_s2bm_ard_3-2-1_55HEB_2019-03-04_final
2019-03-04 09:46:32	ga_s2bm_ard_3-2-1_55HDB_2019-03-04_final
2019-03-04 09:46:37	ga_s2bm_ard_3-2-1_55HCB_2019-03-04_final
2019-03-04 09:46:40	ga_s2bm_ard_3-2-1_55HFA_2019-03-04_final
2019-03-04 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2019-03-04_final
2019-03-04 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2019-03-04_final
2019-03-04 09:46:50	ga_s2bm_ard_3-2-1_55HCA_2019-03-04_final
2019-03-04 09:48:28	ga_s2bm_ard_3-2-1_55GDP_2019-03-04_final

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