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
2022-06-29 11:35:50	ga_s2bm_ard_3-2-1_51JUH_2022-06-29_final
2022-06-29 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2022-06-29_final
2022-06-29 11:36:04	ga_s2bm_ard_3-2-1_51JUG_2022-06-29_final
2022-06-29 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2022-06-29_final
2022-06-29 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2022-06-29_final
2022-06-29 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2022-06-29_final
2022-06-29 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2022-06-29_final
2022-06-29 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2022-06-29_final
2022-06-29 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2022-06-29_final
2022-06-29 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2022-06-29_final
2022-06-29 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-06-29_final
2022-06-29 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-06-29_final
2022-06-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-06-29_final
2022-06-29 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2022-06-29_final
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final
2022-06-29 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2022-06-29_final.stac-item
2022-06-29 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2022-06-29_final.stac-item
2022-06-29 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-06-29_final.stac-item
2022-06-30 09:23:45	ga_s2bm_ard_3-2-1_56JNT_2022-06-29_final
2022-06-30 09:24:58	ga_s2bm_ard_3-2-1_56JNN_2022-06-29_final
2022-06-30 09:25:01	ga_s2bm_ard_3-2-1_56JMN_2022-06-29_final
2022-06-30 09:25:12	ga_s2bm_ard_3-2-1_56JNM_2022-06-29_final
2022-06-30 09:25:48	ga_s2bm_ard_3-2-1_56HLK_2022-06-29_final
2022-06-30 09:25:59	ga_s2bm_ard_3-2-1_56HMJ_2022-06-29_final
2022-06-30 09:26:17	ga_s2bm_ard_3-2-1_56HLH_2022-06-29_final.stac-item
2022-06-30 09:26:49	ga_s2bm_ard_3-2-1_56HKF_2022-06-29_final
2022-06-30 09:27:06	ga_s2bm_ard_3-2-1_55HGV_2022-06-29_final
2022-06-30 09:27:54	ga_s2bm_ard_3-2-1_55HFS_2022-06-29_final.stac-item
2022-06-30 09:28:06	ga_s2bm_ard_3-2-1_55GFR_2022-06-29_final
2022-06-30 09:28:50	ga_s2bm_ard_3-2-1_55GFN_2022-06-29_final
2022-06-30 09:28:54	ga_s2bm_ard_3-2-1_55GEN_2022-06-29_final
2022-06-30 09:29:04	ga_s2bm_ard_3-2-1_55GEM_2022-06-29_final.stac-item
2022-06-30 11:00:27	ga_s2bm_ard_3-2-1_53LMH_2022-06-30_final.stac-item
2022-06-30 11:00:31	ga_s2bm_ard_3-2-1_53LLH_2022-06-30_final.stac-item
2022-06-30 11:00:34	ga_s2bm_ard_3-2-1_53LKH_2022-06-30_final
2022-06-30 11:00:41	ga_s2bm_ard_3-2-1_53LMG_2022-06-30_final
2022-06-30 11:00:42	ga_s2bm_ard_3-2-1_52LGN_2022-06-30_final
2022-06-30 11:00:45	ga_s2bm_ard_3-2-1_53LLG_2022-06-30_final
2022-06-30 11:00:53	ga_s2bm_ard_3-2-1_53LMF_2022-06-30_final
2022-06-30 11:00:59	ga_s2bm_ard_3-2-1_53LLF_2022-06-30_final
2022-06-30 11:01:07	ga_s2bm_ard_3-2-1_52LGL_2022-06-30_final
2022-06-30 11:01:14	ga_s2bm_ard_3-2-1_53LLE_2022-06-30_final
2022-06-30 11:01:29	ga_s2bm_ard_3-2-1_53LLD_2022-06-30_final
2022-06-30 11:01:33	ga_s2bm_ard_3-2-1_52LHJ_2022-06-30_final
2022-06-30 11:01:37	ga_s2bm_ard_3-2-1_52LGJ_2022-06-30_final
2022-06-30 11:01:44	ga_s2bm_ard_3-2-1_52LFJ_2022-06-30_final
2022-06-30 11:02:01	ga_s2bm_ard_3-2-1_53KKB_2022-06-30_final
2022-06-30 11:02:02	ga_s2bm_ard_3-2-1_52KHG_2022-06-30_final
2022-06-30 11:02:06	ga_s2bm_ard_3-2-1_52KGG_2022-06-30_final
2022-06-30 11:02:08	ga_s2bm_ard_3-2-1_53KLA_2022-06-30_final
2022-06-30 11:02:23	ga_s2bm_ard_3-2-1_52KFF_2022-06-30_final
2022-06-30 11:02:30	ga_s2bm_ard_3-2-1_53KKV_2022-06-30_final
2022-06-30 11:02:35	ga_s2bm_ard_3-2-1_52KGE_2022-06-30_final
2022-06-30 11:02:38	ga_s2bm_ard_3-2-1_52KFE_2022-06-30_final
2022-06-30 11:02:43	ga_s2bm_ard_3-2-1_53KKU_2022-06-30_final
2022-06-30 11:02:43	ga_s2bm_ard_3-2-1_52KHD_2022-06-30_final
2022-06-30 11:02:45	ga_s2bm_ard_3-2-1_52KGD_2022-06-30_final
2022-06-30 11:02:47	ga_s2bm_ard_3-2-1_52KFD_2022-06-30_final
2022-06-30 11:02:49	ga_s2bm_ard_3-2-1_52KED_2022-06-30_final
2022-06-30 11:02:50	ga_s2bm_ard_3-2-1_52KHD_2022-06-30_final
2022-06-30 11:02:52	ga_s2bm_ard_3-2-1_52KGD_2022-06-30_final
2022-06-30 11:02:53	ga_s2bm_ard_3-2-1_52KFD_2022-06-30_final
2022-06-30 11:03:00	ga_s2bm_ard_3-2-1_52KHC_2022-06-30_final
2022-06-30 11:03:07	ga_s2bm_ard_3-2-1_52KFC_2022-06-30_final
2022-06-30 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2022-06-30_final
2022-06-30 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2022-06-30_final
2022-06-30 11:03:22	ga_s2bm_ard_3-2-1_52KFB_2022-06-30_final
2022-06-30 11:03:24	ga_s2bm_ard_3-2-1_53KKR_2022-06-30_final
2022-06-30 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2022-06-30_final
2022-06-30 11:03:27	ga_s2bm_ard_3-2-1_52KHA_2022-06-30_final
2022-06-30 11:03:32	ga_s2bm_ard_3-2-1_52KGA_2022-06-30_final
2022-06-30 11:03:36	ga_s2bm_ard_3-2-1_52KFA_2022-06-30_final
2022-06-30 11:03:38	ga_s2bm_ard_3-2-1_52KHV_2022-06-30_final
2022-06-30 11:03:51	ga_s2bm_ard_3-2-1_52KFV_2022-06-30_final
2022-06-30 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2022-06-30_final
2022-06-30 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-06-30_final
2022-06-30 11:04:05	ga_s2bm_ard_3-2-1_52KFU_2022-06-30_final
2022-06-30 11:04:08	ga_s2bm_ard_3-2-1_52KEU_2022-06-30_final
2022-06-30 11:04:12	ga_s2bm_ard_3-2-1_52KDU_2022-06-30_final
2022-06-30 11:04:16	ga_s2bm_ard_3-2-1_52JGT_2022-06-30_final
2022-06-30 11:04:20	ga_s2bm_ard_3-2-1_52JFT_2022-06-30_final
2022-06-30 11:04:23	ga_s2bm_ard_3-2-1_52JET_2022-06-30_final
2022-06-30 11:04:26	ga_s2bm_ard_3-2-1_52JDT_2022-06-30_final
2022-06-30 11:04:29	ga_s2bm_ard_3-2-1_52JGS_2022-06-30_final
2022-06-30 11:04:34	ga_s2bm_ard_3-2-1_52JFS_2022-06-30_final
2022-06-30 11:04:37	ga_s2bm_ard_3-2-1_52JES_2022-06-30_final
2022-06-30 11:04:40	ga_s2bm_ard_3-2-1_52JGR_2022-06-30_final
2022-06-30 11:04:48	ga_s2bm_ard_3-2-1_52JFR_2022-06-30_final
2022-06-30 11:04:52	ga_s2bm_ard_3-2-1_52JER_2022-06-30_final
2022-06-30 11:04:55	ga_s2bm_ard_3-2-1_52JDR_2022-06-30_final
2022-06-30 11:05:03	ga_s2bm_ard_3-2-1_52JFQ_2022-06-30_final
2022-06-30 11:05:13	ga_s2bm_ard_3-2-1_52JCQ_2022-06-30_final
2022-06-30 11:05:36	ga_s2bm_ard_3-2-1_52JEN_2022-06-30_final
2022-06-30 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2022-06-30_final
2022-06-30 11:05:42	ga_s2bm_ard_3-2-1_52JCN_2022-06-30_final
2022-06-30 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2022-06-30_final
2022-06-30 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2022-06-30_final
2022-06-30 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2022-06-30_final
2022-06-30 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2022-06-30_final
2022-06-30 11:06:26	ga_s2bm_ard_3-2-1_52HCK_2022-06-30_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