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
2021-09-15 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-09-15_final
2021-09-15 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-15_final
2021-09-15 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2021-09-15_final.stac-item
2021-09-15 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-09-15_final.stac-item
2021-09-16 09:32:43	ga_s2bm_ard_3-2-1_56KMB_2021-09-16_final.stac-item
2021-09-16 09:32:45	ga_s2bm_ard_3-2-1_56KLB_2021-09-16_final
2021-09-16 09:33:09	ga_s2bm_ard_3-2-1_56KLV_2021-09-16_final
2021-09-16 09:33:21	ga_s2bm_ard_3-2-1_56KMU_2021-09-16_final
2021-09-16 09:33:24	ga_s2bm_ard_3-2-1_56KLU_2021-09-16_final
2021-09-16 09:33:31	ga_s2bm_ard_3-2-1_56JNT_2021-09-16_final
2021-09-16 09:33:35	ga_s2bm_ard_3-2-1_56JMT_2021-09-16_final
2021-09-16 09:33:38	ga_s2bm_ard_3-2-1_56JLT_2021-09-16_final
2021-09-16 09:33:46	ga_s2bm_ard_3-2-1_56JNS_2021-09-16_final
2021-09-16 09:33:50	ga_s2bm_ard_3-2-1_56JMS_2021-09-16_final
2021-09-16 09:33:53	ga_s2bm_ard_3-2-1_56JLS_2021-09-16_final
2021-09-16 09:33:57	ga_s2bm_ard_3-2-1_55JHM_2021-09-16_final
2021-09-16 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2021-09-16_final
2021-09-16 09:34:15	ga_s2bm_ard_3-2-1_56JNQ_2021-09-16_final.stac-item
2021-09-16 09:34:19	ga_s2bm_ard_3-2-1_56JMQ_2021-09-16_final
2021-09-16 09:34:29	ga_s2bm_ard_3-2-1_56JNP_2021-09-16_final.stac-item
2021-09-16 09:34:33	ga_s2bm_ard_3-2-1_56JMP_2021-09-16_final
2021-09-16 09:34:54	ga_s2bm_ard_3-2-1_56JKN_2021-09-16_final
2021-09-16 09:34:57	ga_s2bm_ard_3-2-1_55JGH_2021-09-16_final
2021-09-16 09:35:17	ga_s2bm_ard_3-2-1_56JML_2021-09-16_final
2021-09-16 09:35:53	ga_s2bm_ard_3-2-1_56HKJ_2021-09-16_final
2021-09-16 09:35:55	ga_s2bm_ard_3-2-1_55HGD_2021-09-16_final
2021-09-16 09:36:07	ga_s2bm_ard_3-2-1_56HKH_2021-09-16_final
2021-09-16 09:36:09	ga_s2bm_ard_3-2-1_55HGC_2021-09-16_final
2021-09-16 09:36:22	ga_s2bm_ard_3-2-1_56HKG_2021-09-16_final
2021-09-16 09:36:24	ga_s2bm_ard_3-2-1_55HGB_2021-09-16_final
2021-09-16 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2021-09-16_final
2021-09-16 09:36:52	ga_s2bm_ard_3-2-1_55HGV_2021-09-16_final
2021-09-16 09:36:56	ga_s2bm_ard_3-2-1_55HFV_2021-09-16_final
2021-09-16 09:37:00	ga_s2bm_ard_3-2-1_55HEV_2021-09-16_final
2021-09-16 09:37:40	ga_s2bm_ard_3-2-1_55HFS_2021-09-16_final.stac-item
2021-09-16 09:37:54	ga_s2bm_ard_3-2-1_55GFR_2021-09-16_final
2021-09-16 09:37:58	ga_s2bm_ard_3-2-1_55GER_2021-09-16_final
2021-09-16 09:38:01	ga_s2bm_ard_3-2-1_55GDR_2021-09-16_final
2021-09-16 09:38:08	ga_s2bm_ard_3-2-1_55GFQ_2021-09-16_final
2021-09-16 09:38:12	ga_s2bm_ard_3-2-1_55GEQ_2021-09-16_final
2021-09-16 09:38:16	ga_s2bm_ard_3-2-1_55GDQ_2021-09-16_final
2021-09-16 09:38:22	ga_s2bm_ard_3-2-1_55GFP_2021-09-16_final
2021-09-16 09:38:27	ga_s2bm_ard_3-2-1_55GEP_2021-09-16_final
2021-09-16 09:38:31	ga_s2bm_ard_3-2-1_55GDP_2021-09-16_final
2021-09-16 09:38:36	ga_s2bm_ard_3-2-1_55GCP_2021-09-16_final
2021-09-16 11:10:00	ga_s2bm_ard_3-2-1_53LKJ_2021-09-16_final.stac-item
2021-09-16 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2021-09-16_final
2021-09-16 11:10:25	ga_s2bm_ard_3-2-1_52LGN_2021-09-16_final
2021-09-16 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2021-09-16_final
2021-09-16 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2021-09-16_final
2021-09-16 11:10:43	ga_s2bm_ard_3-2-1_52LHL_2021-09-16_final
2021-09-16 11:10:54	ga_s2bm_ard_3-2-1_52LGL_2021-09-16_final
2021-09-16 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2021-09-16_final
2021-09-16 11:11:01	ga_s2bm_ard_3-2-1_52LEL_2021-09-16_final.stac-item
2021-09-16 11:11:08	ga_s2bm_ard_3-2-1_52LGK_2021-09-16_final
2021-09-16 11:11:12	ga_s2bm_ard_3-2-1_52LFK_2021-09-16_final
2021-09-16 11:11:15	ga_s2bm_ard_3-2-1_52LEK_2021-09-16_final.stac-item
2021-09-16 11:11:23	ga_s2bm_ard_3-2-1_52LGJ_2021-09-16_final
2021-09-16 11:11:26	ga_s2bm_ard_3-2-1_52LFJ_2021-09-16_final
2021-09-16 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2021-09-16_final
2021-09-16 11:11:33	ga_s2bm_ard_3-2-1_52LDJ_2021-09-16_final
2021-09-16 11:11:41	ga_s2bm_ard_3-2-1_52LFH_2021-09-16_final
2021-09-16 11:11:44	ga_s2bm_ard_3-2-1_52LEH_2021-09-16_final
2021-09-16 11:11:46	ga_s2bm_ard_3-2-1_52KGG_2021-09-16_final
2021-09-16 11:11:48	ga_s2bm_ard_3-2-1_52LDH_2021-09-16_final
2021-09-16 11:12:13	ga_s2bm_ard_3-2-1_52KEF_2021-09-16_final
2021-09-16 11:12:16	ga_s2bm_ard_3-2-1_52KDF_2021-09-16_final
2021-09-16 11:12:24	ga_s2bm_ard_3-2-1_52KFE_2021-09-16_final
2021-09-16 11:12:28	ga_s2bm_ard_3-2-1_52KEE_2021-09-16_final
2021-09-16 11:12:31	ga_s2bm_ard_3-2-1_52KDE_2021-09-16_final
2021-09-16 11:12:34	ga_s2bm_ard_3-2-1_52KCE_2021-09-16_final
2021-09-16 11:12:42	ga_s2bm_ard_3-2-1_52KED_2021-09-16_final
2021-09-16 11:12:46	ga_s2bm_ard_3-2-1_52KDD_2021-09-16_final
2021-09-16 11:12:50	ga_s2bm_ard_3-2-1_52KFC_2021-09-16_final
2021-09-16 11:13:10	ga_s2bm_ard_3-2-1_52KBC_2021-09-16_final
2021-09-16 11:13:15	ga_s2bm_ard_3-2-1_52KDB_2021-09-16_final
2021-09-16 11:13:18	ga_s2bm_ard_3-2-1_52KCB_2021-09-16_final
2021-09-16 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-09-16_final
2021-09-16 11:13:25	ga_s2bm_ard_3-2-1_51KZS_2021-09-16_final
2021-09-16 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2021-09-16_final
2021-09-16 11:13:47	ga_s2bm_ard_3-2-1_52KCV_2021-09-16_final
2021-09-16 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2021-09-16_final
2021-09-16 11:13:53	ga_s2bm_ard_3-2-1_52KEU_2021-09-16_final
2021-09-16 11:13:58	ga_s2bm_ard_3-2-1_52KDU_2021-09-16_final
2021-09-16 11:14:02	ga_s2bm_ard_3-2-1_52KCU_2021-09-16_final
2021-09-16 11:14:04	ga_s2bm_ard_3-2-1_52JET_2021-09-16_final
2021-09-16 11:14:05	ga_s2bm_ard_3-2-1_51KZP_2021-09-16_final
2021-09-16 11:14:13	ga_s2bm_ard_3-2-1_52JDT_2021-09-16_final
2021-09-16 11:14:16	ga_s2bm_ard_3-2-1_52JCT_2021-09-16_final
2021-09-16 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2021-09-16_final
2021-09-16 11:14:19	ga_s2bm_ard_3-2-1_52JBT_2021-09-16_final
2021-09-16 11:14:27	ga_s2bm_ard_3-2-1_52JDS_2021-09-16_final
2021-09-16 11:14:31	ga_s2bm_ard_3-2-1_52JCS_2021-09-16_final
2021-09-16 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2021-09-16_final
2021-09-16 11:14:45	ga_s2bm_ard_3-2-1_52JCR_2021-09-16_final
2021-09-16 11:14:56	ga_s2bm_ard_3-2-1_52JDQ_2021-09-16_final
2021-09-16 11:15:08	ga_s2bm_ard_3-2-1_52JDP_2021-09-16_final
2021-09-16 11:15:32	ga_s2bm_ard_3-2-1_52JBN_2021-09-16_final
2021-09-16 11:15:35	ga_s2bm_ard_3-2-1_51JYH_2021-09-16_final
2021-09-16 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2021-09-16_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