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
2018-12-23 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2018-12-23_final
2018-12-23 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2018-12-23_final
2018-12-23 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2018-12-23_final
2018-12-23 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2018-12-23_final
2018-12-23 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2018-12-23_final
2018-12-23 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2018-12-23_final
2018-12-23 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2018-12-23_final
2018-12-23 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2018-12-23_final
2018-12-23 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2018-12-23_final
2018-12-23 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2018-12-23_final
2018-12-23 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2018-12-23_final
2018-12-23 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2018-12-23_final
2018-12-23 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2018-12-23_final
2018-12-23 11:56:18	ga_s2bm_ard_3-2-1_50JML_2018-12-23_final
2018-12-23 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2018-12-23_final
2018-12-23 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2018-12-23_final
2018-12-23 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2018-12-23_final
2018-12-23 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2018-12-23_final.stac-item
2018-12-23 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2018-12-23_final.stac-item
2018-12-24 09:41:48	ga_s2bm_ard_3-2-1_56KME_2018-12-24_final.stac-item
2018-12-24 09:42:39	ga_s2bm_ard_3-2-1_56KKB_2018-12-24_final
2018-12-24 09:42:57	ga_s2bm_ard_3-2-1_55KGR_2018-12-24_final
2018-12-24 09:43:34	ga_s2bm_ard_3-2-1_56JLT_2018-12-24_final
2018-12-24 09:43:44	ga_s2bm_ard_3-2-1_55JFN_2018-12-24_final
2018-12-24 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2018-12-24_final
2018-12-24 09:44:06	ga_s2bm_ard_3-2-1_56JKR_2018-12-24_final
2018-12-24 09:44:09	ga_s2bm_ard_3-2-1_55JGL_2018-12-24_final
2018-12-24 09:44:21	ga_s2bm_ard_3-2-1_55JEL_2018-12-24_final
2018-12-24 09:44:24	ga_s2bm_ard_3-2-1_55JGK_2018-12-24_final
2018-12-24 09:44:32	ga_s2bm_ard_3-2-1_55JEK_2018-12-24_final
2018-12-24 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2018-12-24_final
2018-12-24 09:44:45	ga_s2bm_ard_3-2-1_55JEJ_2018-12-24_final
2018-12-24 09:45:04	ga_s2bm_ard_3-2-1_56JKM_2018-12-24_final
2018-12-24 09:45:07	ga_s2bm_ard_3-2-1_55JGG_2018-12-24_final
2018-12-24 09:45:15	ga_s2bm_ard_3-2-1_55JEG_2018-12-24_final
2018-12-24 09:45:22	ga_s2bm_ard_3-2-1_55JDG_2018-12-24_final
2018-12-24 09:45:25	ga_s2bm_ard_3-2-1_55JFF_2018-12-24_final
2018-12-24 09:45:28	ga_s2bm_ard_3-2-1_56HKK_2018-12-24_final
2018-12-24 09:45:33	ga_s2bm_ard_3-2-1_55JDF_2018-12-24_final
2018-12-24 09:45:36	ga_s2bm_ard_3-2-1_55HGE_2018-12-24_final
2018-12-24 09:45:43	ga_s2bm_ard_3-2-1_55HEE_2018-12-24_final
2018-12-24 09:45:47	ga_s2bm_ard_3-2-1_55HDE_2018-12-24_final
2018-12-24 09:45:54	ga_s2bm_ard_3-2-1_55HFD_2018-12-24_final
2018-12-24 09:46:03	ga_s2bm_ard_3-2-1_55HGC_2018-12-24_final
2018-12-24 09:46:09	ga_s2bm_ard_3-2-1_55HFC_2018-12-24_final
2018-12-24 09:46:12	ga_s2bm_ard_3-2-1_55HEC_2018-12-24_final
2018-12-24 09:46:13	ga_s2bm_ard_3-2-1_55HGB_2018-12-24_final
2018-12-24 09:46:23	ga_s2bm_ard_3-2-1_55HFB_2018-12-24_final
2018-12-24 09:46:27	ga_s2bm_ard_3-2-1_55HEB_2018-12-24_final
2018-12-24 09:46:30	ga_s2bm_ard_3-2-1_55HDB_2018-12-24_final
2018-12-24 09:46:34	ga_s2bm_ard_3-2-1_55HCB_2018-12-24_final
2018-12-24 09:46:38	ga_s2bm_ard_3-2-1_55HFA_2018-12-24_final
2018-12-24 09:46:48	ga_s2bm_ard_3-2-1_55HCA_2018-12-24_final
2018-12-24 09:47:05	ga_s2bm_ard_3-2-1_55HFU_2018-12-24_final.stac-item
2018-12-24 09:47:10	ga_s2bm_ard_3-2-1_55HEU_2018-12-24_final
2018-12-24 09:47:15	ga_s2bm_ard_3-2-1_55HFT_2018-12-24_final.stac-item
2018-12-24 09:47:18	ga_s2bm_ard_3-2-1_55HCU_2018-12-24_final
2018-12-24 09:47:25	ga_s2bm_ard_3-2-1_55HET_2018-12-24_final
2018-12-24 09:47:25	ga_s2bm_ard_3-2-1_55HBU_2018-12-24_final
2018-12-24 09:47:29	ga_s2bm_ard_3-2-1_55HDT_2018-12-24_final
2018-12-24 09:47:32	ga_s2bm_ard_3-2-1_55HCT_2018-12-24_final
2018-12-24 09:47:36	ga_s2bm_ard_3-2-1_55HBT_2018-12-24_final
2018-12-24 09:47:39	ga_s2bm_ard_3-2-1_55HES_2018-12-24_final
2018-12-24 09:47:40	ga_s2bm_ard_3-2-1_54HYC_2018-12-24_final
2018-12-24 11:20:54	ga_s2bm_ard_3-2-1_52LEL_2018-12-24_final.stac-item
2018-12-24 11:22:02	ga_s2bm_ard_3-2-1_52KBG_2018-12-24_final
2018-12-24 11:22:04	ga_s2bm_ard_3-2-1_51KYB_2018-12-24_final
2018-12-24 11:22:09	ga_s2bm_ard_3-2-1_52KBG_2018-12-24_final
2018-12-24 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2018-12-24_final
2018-12-24 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2018-12-24_final
2018-12-24 11:22:37	ga_s2bm_ard_3-2-1_51KYV_2018-12-24_final
2018-12-24 11:22:47	ga_s2bm_ard_3-2-1_52KBD_2018-12-24_final
2018-12-24 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2018-12-24_final
2018-12-24 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2018-12-24_final
2018-12-24 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2018-12-24_final
2018-12-24 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2018-12-24_final
2018-12-24 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2018-12-24_final
2018-12-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-12-24_final
2018-12-24 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-12-24_final
2018-12-24 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2018-12-24_final
2018-12-24 11:24:22	ga_s2bm_ard_3-2-1_51JXN_2018-12-24_final
2018-12-24 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2018-12-24_final
2018-12-24 11:24:54	ga_s2bm_ard_3-2-1_51JWL_2018-12-24_final
2018-12-24 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2018-12-24_final
2018-12-24 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2018-12-24_final
2018-12-24 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2018-12-24_final
2018-12-24 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2018-12-24_final
2018-12-24 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2018-12-24_final
2018-12-24 11:26:01	ga_s2bm_ard_3-2-1_51JUG_2018-12-24_final
2018-12-24 11:26:03	ga_s2bm_ard_3-2-1_51JXF_2018-12-24_final
2018-12-24 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2018-12-24_final
2018-12-24 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2018-12-24_final
2018-12-24 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2018-12-24_final
2018-12-24 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2018-12-24_final
2018-12-24 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2018-12-24_final
2018-12-24 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2018-12-24_final
2018-12-24 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2018-12-24_final
2018-12-24 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2018-12-24_final.stac-item
2018-12-24 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2018-12-24_final
2018-12-24 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2018-12-24_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