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
2020-04-13 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2020-04-13_final
2020-04-13 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2020-04-13_final
2020-04-13 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2020-04-13_final
2020-04-13 11:46:22	ga_s2bm_ard_3-2-1_50JML_2020-04-13_final
2020-04-13 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-04-13_final
2020-04-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2020-04-13_final
2020-04-13 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2020-04-13_final
2020-04-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-04-13_final
2020-04-13 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2020-04-13_final
2020-04-13 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-04-13_final
2020-04-13 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2020-04-13_final.stac-item
2020-04-13 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2020-04-13_final.stac-item
2020-04-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-04-13_final.stac-item
2020-04-13 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2020-04-13_final.stac-item
2020-04-14 09:32:41	ga_s2bm_ard_3-2-1_56KNB_2020-04-14_final.stac-item
2020-04-14 09:32:44	ga_s2bm_ard_3-2-1_56KLB_2020-04-14_final
2020-04-14 09:32:48	ga_s2bm_ard_3-2-1_56KNA_2020-04-14_final.stac-item
2020-04-14 09:32:51	ga_s2bm_ard_3-2-1_56KMA_2020-04-14_final
2020-04-14 09:32:55	ga_s2bm_ard_3-2-1_56KLA_2020-04-14_final
2020-04-14 09:33:09	ga_s2bm_ard_3-2-1_56KLV_2020-04-14_final
2020-04-14 09:33:24	ga_s2bm_ard_3-2-1_56KLU_2020-04-14_final
2020-04-14 09:33:46	ga_s2bm_ard_3-2-1_56JNS_2020-04-14_final
2020-04-14 09:33:50	ga_s2bm_ard_3-2-1_56JMS_2020-04-14_final
2020-04-14 09:33:57	ga_s2bm_ard_3-2-1_56JKS_2020-04-14_final
2020-04-14 09:34:10	ga_s2bm_ard_3-2-1_56JKR_2020-04-14_final
2020-04-14 09:34:15	ga_s2bm_ard_3-2-1_56JNQ_2020-04-14_final.stac-item
2020-04-14 09:34:19	ga_s2bm_ard_3-2-1_56JMQ_2020-04-14_final
2020-04-14 09:34:29	ga_s2bm_ard_3-2-1_56JNP_2020-04-14_final.stac-item
2020-04-14 09:34:33	ga_s2bm_ard_3-2-1_56JMP_2020-04-14_final
2020-04-14 09:35:02	ga_s2bm_ard_3-2-1_56JMM_2020-04-14_final
2020-04-14 09:35:35	ga_s2bm_ard_3-2-1_56HLK_2020-04-14_final
2020-04-14 09:35:53	ga_s2bm_ard_3-2-1_56HKJ_2020-04-14_final
2020-04-14 09:36:04	ga_s2bm_ard_3-2-1_56HLH_2020-04-14_final.stac-item
2020-04-14 09:36:07	ga_s2bm_ard_3-2-1_56HKH_2020-04-14_final
2020-04-14 09:36:09	ga_s2bm_ard_3-2-1_55HGC_2020-04-14_final
2020-04-14 09:36:13	ga_s2bm_ard_3-2-1_55HFC_2020-04-14_final
2020-04-14 09:36:18	ga_s2bm_ard_3-2-1_56HLG_2020-04-14_final.stac-item
2020-04-14 09:36:22	ga_s2bm_ard_3-2-1_56HKG_2020-04-14_final
2020-04-14 09:36:23	ga_s2bm_ard_3-2-1_55HGB_2020-04-14_final
2020-04-14 09:36:27	ga_s2bm_ard_3-2-1_55HFB_2020-04-14_final
2020-04-14 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2020-04-14_final
2020-04-14 09:36:52	ga_s2bm_ard_3-2-1_55HGV_2020-04-14_final
2020-04-14 09:36:56	ga_s2bm_ard_3-2-1_55HFV_2020-04-14_final
2020-04-14 09:37:00	ga_s2bm_ard_3-2-1_55HEV_2020-04-14_final
2020-04-14 09:37:39	ga_s2bm_ard_3-2-1_55HFS_2020-04-14_final.stac-item
2020-04-14 09:37:42	ga_s2bm_ard_3-2-1_55HES_2020-04-14_final
2020-04-14 09:37:45	ga_s2bm_ard_3-2-1_55HDS_2020-04-14_final
2020-04-14 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2020-04-14_final.stac-item
2020-04-14 09:37:47	ga_s2bm_ard_3-2-1_55GFR_2020-04-14_final
2020-04-14 09:37:49	ga_s2bm_ard_3-2-1_55GER_2020-04-14_final
2020-04-14 09:37:49	ga_s2bm_ard_3-2-1_55HES_2020-04-14_final
2020-04-14 09:37:51	ga_s2bm_ard_3-2-1_55HDS_2020-04-14_final
2020-04-14 09:37:54	ga_s2bm_ard_3-2-1_55GFR_2020-04-14_final
2020-04-14 09:37:58	ga_s2bm_ard_3-2-1_55GER_2020-04-14_final
2020-04-14 09:38:01	ga_s2bm_ard_3-2-1_55GDR_2020-04-14_final
2020-04-14 09:38:08	ga_s2bm_ard_3-2-1_55GFQ_2020-04-14_final
2020-04-14 09:38:12	ga_s2bm_ard_3-2-1_55GEQ_2020-04-14_final
2020-04-14 09:38:16	ga_s2bm_ard_3-2-1_55GDQ_2020-04-14_final
2020-04-14 11:10:00	ga_s2bm_ard_3-2-1_53LKJ_2020-04-14_final.stac-item
2020-04-14 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2020-04-14_final
2020-04-14 11:10:25	ga_s2bm_ard_3-2-1_52LGN_2020-04-14_final
2020-04-14 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2020-04-14_final.stac-item
2020-04-14 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2020-04-14_final
2020-04-14 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2020-04-14_final
2020-04-14 11:10:43	ga_s2bm_ard_3-2-1_52LFM_2020-04-14_final.stac-item
2020-04-14 11:11:12	ga_s2bm_ard_3-2-1_52LFK_2020-04-14_final
2020-04-14 11:11:15	ga_s2bm_ard_3-2-1_52LEK_2020-04-14_final.stac-item
2020-04-14 11:12:50	ga_s2bm_ard_3-2-1_52KFC_2020-04-14_final
2020-04-14 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2020-04-14_final
2020-04-14 11:12:58	ga_s2bm_ard_3-2-1_52KDC_2020-04-14_final
2020-04-14 11:13:00	ga_s2bm_ard_3-2-1_52KCC_2020-04-14_final
2020-04-14 11:13:03	ga_s2bm_ard_3-2-1_52KEB_2020-04-14_final
2020-04-14 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2020-04-14_final
2020-04-14 11:13:05	ga_s2bm_ard_3-2-1_52KDC_2020-04-14_final
2020-04-14 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2020-04-14_final
2020-04-14 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2020-04-14_final
2020-04-14 11:13:26	ga_s2bm_ard_3-2-1_52KEA_2020-04-14_final
2020-04-14 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2020-04-14_final
2020-04-14 11:13:32	ga_s2bm_ard_3-2-1_52KCA_2020-04-14_final
2020-04-14 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2020-04-14_final
2020-04-14 11:13:47	ga_s2bm_ard_3-2-1_52KCV_2020-04-14_final
2020-04-14 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2020-04-14_final
2020-04-14 11:14:02	ga_s2bm_ard_3-2-1_52KCU_2020-04-14_final
2020-04-14 11:14:25	ga_s2bm_ard_3-2-1_51JYN_2020-04-14_final
2020-04-14 11:14:31	ga_s2bm_ard_3-2-1_52JCS_2020-04-14_final
2020-04-14 11:14:34	ga_s2bm_ard_3-2-1_52JBS_2020-04-14_final
2020-04-14 11:14:37	ga_s2bm_ard_3-2-1_51JYM_2020-04-14_final
2020-04-14 11:14:48	ga_s2bm_ard_3-2-1_52JBR_2020-04-14_final
2020-04-14 11:14:51	ga_s2bm_ard_3-2-1_51JYL_2020-04-14_final
2020-04-14 11:14:56	ga_s2bm_ard_3-2-1_52JDQ_2020-04-14_final
2020-04-14 11:15:08	ga_s2bm_ard_3-2-1_52JDP_2020-04-14_final
2020-04-14 11:15:18	ga_s2bm_ard_3-2-1_52JDN_2020-04-14_final
2020-04-14 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2020-04-14_final
2020-04-14 11:15:53	ga_s2bm_ard_3-2-1_51JXG_2020-04-14_final
2020-04-14 11:16:12	ga_s2bm_ard_3-2-1_52HCK_2020-04-14_final.stac-item
2020-04-14 11:16:22	ga_s2bm_ard_3-2-1_51HXE_2020-04-14_final
2020-04-14 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2020-04-14_final
2020-04-14 11:16:51	ga_s2bm_ard_3-2-1_51HXC_2020-04-14_final.stac-item
2020-04-14 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2020-04-14_final.stac-item
2020-04-14 11:17:02	ga_s2bm_ard_3-2-1_51HXB_2020-04-14_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