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
2022-08-11 11:44:34	ga_s2bm_ard_3-2-1_51JTN_2022-08-11_final
2022-08-11 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2022-08-11_final
2022-08-11 11:44:44	ga_s2bm_ard_3-2-1_51JUM_2022-08-11_final
2022-08-11 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2022-08-11_final
2022-08-11 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2022-08-11_final
2022-08-11 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2022-08-11_final.stac-item
2022-08-11 11:45:14	ga_s2bm_ard_3-2-1_50JQR_2022-08-11_final
2022-08-11 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2022-08-11_final
2022-08-11 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2022-08-11_final.stac-item
2022-08-11 11:45:33	ga_s2bm_ard_3-2-1_51JTJ_2022-08-11_final
2022-08-11 11:45:43	ga_s2bm_ard_3-2-1_50JNP_2022-08-11_final
2022-08-11 11:45:47	ga_s2bm_ard_3-2-1_51JTH_2022-08-11_final
2022-08-11 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2022-08-11_final
2022-08-11 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2022-08-11_final
2022-08-11 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2022-08-11_final
2022-08-11 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-08-11_final
2022-08-11 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2022-08-11_final
2022-08-12 09:32:30	ga_s2bm_ard_3-2-1_56KPC_2022-08-12_final.stac-item
2022-08-12 09:32:50	ga_s2bm_ard_3-2-1_56KLB_2022-08-12_final
2022-08-12 09:32:56	ga_s2bm_ard_3-2-1_56KNA_2022-08-12_final.stac-item
2022-08-12 09:32:59	ga_s2bm_ard_3-2-1_56KMA_2022-08-12_final
2022-08-12 09:33:16	ga_s2bm_ard_3-2-1_56KLV_2022-08-12_final
2022-08-12 09:33:28	ga_s2bm_ard_3-2-1_56KMU_2022-08-12_final
2022-08-12 09:33:46	ga_s2bm_ard_3-2-1_56JLT_2022-08-12_final
2022-08-12 09:33:53	ga_s2bm_ard_3-2-1_56JKT_2022-08-12_final
2022-08-12 09:33:53	ga_s2bm_ard_3-2-1_56JNS_2022-08-12_final
2022-08-12 09:33:57	ga_s2bm_ard_3-2-1_56JMS_2022-08-12_final
2022-08-12 09:34:00	ga_s2bm_ard_3-2-1_56JLS_2022-08-12_final
2022-08-12 09:34:04	ga_s2bm_ard_3-2-1_55JHM_2022-08-12_final
2022-08-12 09:34:23	ga_s2bm_ard_3-2-1_56JNQ_2022-08-12_final.stac-item
2022-08-12 09:34:47	ga_s2bm_ard_3-2-1_56JNN_2022-08-12_final
2022-08-12 09:34:47	ga_s2bm_ard_3-2-1_56JKP_2022-08-12_final
2022-08-12 09:34:54	ga_s2bm_ard_3-2-1_55JGJ_2022-08-12_final
2022-08-12 09:34:55	ga_s2bm_ard_3-2-1_56JMN_2022-08-12_final
2022-08-12 09:35:05	ga_s2bm_ard_3-2-1_55JGH_2022-08-12_final
2022-08-12 09:35:46	ga_s2bm_ard_3-2-1_56HKK_2022-08-12_final
2022-08-12 09:35:48	ga_s2bm_ard_3-2-1_55HGE_2022-08-12_final
2022-08-12 09:36:00	ga_s2bm_ard_3-2-1_56HKJ_2022-08-12_final
2022-08-12 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2022-08-12_final
2022-08-12 09:36:15	ga_s2bm_ard_3-2-1_56HKH_2022-08-12_final
2022-08-12 09:36:17	ga_s2bm_ard_3-2-1_55HGC_2022-08-12_final
2022-08-12 09:36:29	ga_s2bm_ard_3-2-1_56HKG_2022-08-12_final
2022-08-12 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2022-08-12_final
2022-08-12 09:36:54	ga_s2bm_ard_3-2-1_55HEA_2022-08-12_final
2022-08-12 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2022-08-12_final.stac-item
2022-08-12 09:37:51	ga_s2bm_ard_3-2-1_55HES_2022-08-12_final
2022-08-12 09:37:55	ga_s2bm_ard_3-2-1_55HDS_2022-08-12_final
2022-08-12 09:38:05	ga_s2bm_ard_3-2-1_55GER_2022-08-12_final
2022-08-12 09:38:16	ga_s2bm_ard_3-2-1_55GFQ_2022-08-12_final
2022-08-12 11:10:28	ga_s2bm_ard_3-2-1_52LHN_2022-08-12_final
2022-08-12 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2022-08-12_final
2022-08-12 11:10:36	ga_s2bm_ard_3-2-1_52LFN_2022-08-12_final.stac-item
2022-08-12 11:11:01	ga_s2bm_ard_3-2-1_52LGL_2022-08-12_final
2022-08-12 11:11:05	ga_s2bm_ard_3-2-1_52LFL_2022-08-12_final
2022-08-12 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2022-08-12_final.stac-item
2022-08-12 11:11:34	ga_s2bm_ard_3-2-1_52LFJ_2022-08-12_final
2022-08-12 11:11:43	ga_s2bm_ard_3-2-1_52LGH_2022-08-12_final
2022-08-12 11:12:14	ga_s2bm_ard_3-2-1_52KCG_2022-08-12_final
2022-08-12 11:12:17	ga_s2bm_ard_3-2-1_52KFF_2022-08-12_final
2022-08-12 11:12:21	ga_s2bm_ard_3-2-1_52KEF_2022-08-12_final
2022-08-12 11:12:27	ga_s2bm_ard_3-2-1_52KCF_2022-08-12_final
2022-08-12 11:12:46	ga_s2bm_ard_3-2-1_52KFD_2022-08-12_final
2022-08-12 11:12:50	ga_s2bm_ard_3-2-1_52KED_2022-08-12_final
2022-08-12 11:12:53	ga_s2bm_ard_3-2-1_52KDD_2022-08-12_final
2022-08-12 11:12:56	ga_s2bm_ard_3-2-1_52KCD_2022-08-12_final
2022-08-12 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2022-08-12_final
2022-08-12 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2022-08-12_final
2022-08-12 11:13:08	ga_s2bm_ard_3-2-1_52KDC_2022-08-12_final
2022-08-12 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2022-08-12_final
2022-08-12 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2022-08-12_final
2022-08-12 11:13:19	ga_s2bm_ard_3-2-1_52KEB_2022-08-12_final
2022-08-12 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2022-08-12_final
2022-08-12 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2022-08-12_final
2022-08-12 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2022-08-12_final
2022-08-12 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2022-08-12_final
2022-08-12 11:13:33	ga_s2bm_ard_3-2-1_52KCB_2022-08-12_final
2022-08-12 11:13:34	ga_s2bm_ard_3-2-1_52KBB_2022-08-12_final
2022-08-12 11:13:37	ga_s2bm_ard_3-2-1_52KEA_2022-08-12_final
2022-08-12 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-08-12_final
2022-08-12 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2022-08-12_final
2022-08-12 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2022-08-12_final
2022-08-12 11:13:55	ga_s2bm_ard_3-2-1_52KCV_2022-08-12_final
2022-08-12 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2022-08-12_final
2022-08-12 11:14:01	ga_s2bm_ard_3-2-1_52KEU_2022-08-12_final
2022-08-12 11:14:06	ga_s2bm_ard_3-2-1_52KDU_2022-08-12_final
2022-08-12 11:14:11	ga_s2bm_ard_3-2-1_52JET_2022-08-12_final
2022-08-12 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2022-08-12_final
2022-08-12 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2022-08-12_final
2022-08-12 11:14:27	ga_s2bm_ard_3-2-1_51JZN_2022-08-12_final
2022-08-12 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2022-08-12_final
2022-08-12 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2022-08-12_final
2022-08-12 11:14:35	ga_s2bm_ard_3-2-1_52JDS_2022-08-12_final
2022-08-12 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2022-08-12_final
2022-08-12 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2022-08-12_final
2022-08-12 11:15:16	ga_s2bm_ard_3-2-1_52JDP_2022-08-12_final
2022-08-12 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2022-08-12_final
2022-08-12 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2022-08-12_final
2022-08-12 11:16:23	ga_s2bm_ard_3-2-1_52HBK_2022-08-12_final
2022-08-12 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2022-08-12_final
2022-08-12 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2022-08-12_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