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
2019-09-03 11:35:11	ga_s2bm_ard_3-2-1_51JWK_2019-09-03_final
2019-09-03 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2019-09-03_final
2019-09-03 11:35:22	ga_s2bm_ard_3-2-1_51JWJ_2019-09-03_final
2019-09-03 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2019-09-03_final
2019-09-03 11:35:33	ga_s2bm_ard_3-2-1_51JUJ_2019-09-03_final
2019-09-03 11:35:59	ga_s2bm_ard_3-2-1_51JVG_2019-09-03_final
2019-09-03 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2019-09-03_final
2019-09-03 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2019-09-03_final
2019-09-03 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2019-09-03_final
2019-09-03 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-09-03_final
2019-09-03 11:37:15	ga_s2bm_ard_3-2-1_51HUB_2019-09-03_final.stac-item
2019-09-03 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-09-03_final.stac-item
2019-09-04 09:23:42	ga_s2bm_ard_3-2-1_56JNT_2019-09-03_final
2019-09-04 09:23:57	ga_s2bm_ard_3-2-1_56JNS_2019-09-03_final
2019-09-04 09:24:12	ga_s2bm_ard_3-2-1_56JNR_2019-09-03_final.stac-item
2019-09-04 09:24:26	ga_s2bm_ard_3-2-1_56JNQ_2019-09-03_final.stac-item
2019-09-04 09:24:41	ga_s2bm_ard_3-2-1_56JNP_2019-09-03_final.stac-item
2019-09-04 09:24:44	ga_s2bm_ard_3-2-1_56JMP_2019-09-03_final
2019-09-04 09:25:10	ga_s2bm_ard_3-2-1_56JNM_2019-09-03_final
2019-09-04 09:25:13	ga_s2bm_ard_3-2-1_56JMM_2019-09-03_final
2019-09-04 09:25:57	ga_s2bm_ard_3-2-1_56HMJ_2019-09-03_final
2019-09-04 09:26:29	ga_s2bm_ard_3-2-1_56HLG_2019-09-03_final.stac-item
2019-09-04 09:26:47	ga_s2bm_ard_3-2-1_56HKF_2019-09-03_final
2019-09-04 09:28:47	ga_s2bm_ard_3-2-1_55GFN_2019-09-03_final
2019-09-04 09:28:52	ga_s2bm_ard_3-2-1_55GEN_2019-09-03_final
2019-09-04 09:29:03	ga_s2bm_ard_3-2-1_55GEM_2019-09-03_final.stac-item
2019-09-04 11:00:25	ga_s2bm_ard_3-2-1_53LMH_2019-09-04_final.stac-item
2019-09-04 11:00:51	ga_s2bm_ard_3-2-1_53LMF_2019-09-04_final
2019-09-04 11:00:57	ga_s2bm_ard_3-2-1_53LLF_2019-09-04_final
2019-09-04 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2019-09-04_final
2019-09-04 11:01:01	ga_s2bm_ard_3-2-1_53LME_2019-09-04_final
2019-09-04 11:01:02	ga_s2bm_ard_3-2-1_52LHL_2019-09-04_final
2019-09-04 11:01:05	ga_s2bm_ard_3-2-1_52LGL_2019-09-04_final
2019-09-04 11:01:12	ga_s2bm_ard_3-2-1_53LLE_2019-09-04_final
2019-09-04 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2019-09-04_final
2019-09-04 11:01:17	ga_s2bm_ard_3-2-1_52LHK_2019-09-04_final
2019-09-04 11:01:20	ga_s2bm_ard_3-2-1_52LGK_2019-09-04_final
2019-09-04 11:01:26	ga_s2bm_ard_3-2-1_53LLD_2019-09-04_final
2019-09-04 11:01:31	ga_s2bm_ard_3-2-1_52LHJ_2019-09-04_final
2019-09-04 11:01:34	ga_s2bm_ard_3-2-1_52LGJ_2019-09-04_final
2019-09-04 11:01:41	ga_s2bm_ard_3-2-1_53LLC_2019-09-04_final
2019-09-04 11:01:42	ga_s2bm_ard_3-2-1_52LFJ_2019-09-04_final
2019-09-04 11:01:45	ga_s2bm_ard_3-2-1_52LHH_2019-09-04_final
2019-09-04 11:01:49	ga_s2bm_ard_3-2-1_52LGH_2019-09-04_final
2019-09-04 11:01:53	ga_s2bm_ard_3-2-1_52LFH_2019-09-04_final
2019-09-04 11:01:54	ga_s2bm_ard_3-2-1_53KLB_2019-09-04_final
2019-09-04 11:01:59	ga_s2bm_ard_3-2-1_53KKB_2019-09-04_final
2019-09-04 11:02:03	ga_s2bm_ard_3-2-1_52KGG_2019-09-04_final
2019-09-04 11:02:06	ga_s2bm_ard_3-2-1_53KLA_2019-09-04_final
2019-09-04 11:02:06	ga_s2bm_ard_3-2-1_52KFG_2019-09-04_final
2019-09-04 11:02:13	ga_s2bm_ard_3-2-1_53KKA_2019-09-04_final
2019-09-04 11:02:14	ga_s2bm_ard_3-2-1_52KHF_2019-09-04_final
2019-09-04 11:02:18	ga_s2bm_ard_3-2-1_52KGF_2019-09-04_final
2019-09-04 11:02:21	ga_s2bm_ard_3-2-1_52KFF_2019-09-04_final
2019-09-04 11:02:29	ga_s2bm_ard_3-2-1_52KHE_2019-09-04_final
2019-09-04 11:02:32	ga_s2bm_ard_3-2-1_52KGE_2019-09-04_final
2019-09-04 11:02:36	ga_s2bm_ard_3-2-1_52KFE_2019-09-04_final
2019-09-04 11:02:42	ga_s2bm_ard_3-2-1_53KKU_2019-09-04_final
2019-09-04 11:02:43	ga_s2bm_ard_3-2-1_52KHD_2019-09-04_final
2019-09-04 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2019-09-04_final
2019-09-04 11:02:55	ga_s2bm_ard_3-2-1_52KED_2019-09-04_final
2019-09-04 11:02:57	ga_s2bm_ard_3-2-1_53KKT_2019-09-04_final
2019-09-04 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2019-09-04_final
2019-09-04 11:03:01	ga_s2bm_ard_3-2-1_52KGC_2019-09-04_final
2019-09-04 11:03:05	ga_s2bm_ard_3-2-1_52KFC_2019-09-04_final
2019-09-04 11:03:08	ga_s2bm_ard_3-2-1_52KEC_2019-09-04_final
2019-09-04 11:03:10	ga_s2bm_ard_3-2-1_53KKS_2019-09-04_final
2019-09-04 11:03:12	ga_s2bm_ard_3-2-1_52KHB_2019-09-04_final
2019-09-04 11:03:19	ga_s2bm_ard_3-2-1_52KFB_2019-09-04_final
2019-09-04 11:03:22	ga_s2bm_ard_3-2-1_53KKR_2019-09-04_final
2019-09-04 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2019-09-04_final
2019-09-04 11:03:25	ga_s2bm_ard_3-2-1_52KHA_2019-09-04_final
2019-09-04 11:03:36	ga_s2bm_ard_3-2-1_52KHV_2019-09-04_final
2019-09-04 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2019-09-04_final
2019-09-04 11:03:44	ga_s2bm_ard_3-2-1_52KGV_2019-09-04_final
2019-09-04 11:03:48	ga_s2bm_ard_3-2-1_52KFV_2019-09-04_final
2019-09-04 11:03:59	ga_s2bm_ard_3-2-1_52KGU_2019-09-04_final
2019-09-04 11:04:03	ga_s2bm_ard_3-2-1_52KFU_2019-09-04_final
2019-09-04 11:04:14	ga_s2bm_ard_3-2-1_52JGT_2019-09-04_final
2019-09-04 11:04:17	ga_s2bm_ard_3-2-1_52JFT_2019-09-04_final
2019-09-04 11:04:21	ga_s2bm_ard_3-2-1_52JET_2019-09-04_final
2019-09-04 11:04:24	ga_s2bm_ard_3-2-1_52JDT_2019-09-04_final
2019-09-04 11:04:32	ga_s2bm_ard_3-2-1_52JFS_2019-09-04_final
2019-09-04 11:04:35	ga_s2bm_ard_3-2-1_52JES_2019-09-04_final
2019-09-04 11:04:39	ga_s2bm_ard_3-2-1_52JDS_2019-09-04_final
2019-09-04 11:04:46	ga_s2bm_ard_3-2-1_52JFR_2019-09-04_final
2019-09-04 11:04:50	ga_s2bm_ard_3-2-1_52JER_2019-09-04_final
2019-09-04 11:04:53	ga_s2bm_ard_3-2-1_52JDR_2019-09-04_final
2019-09-04 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2019-09-04_final
2019-09-04 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2019-09-04_final
2019-09-04 11:05:08	ga_s2bm_ard_3-2-1_52JDQ_2019-09-04_final
2019-09-04 11:05:15	ga_s2bm_ard_3-2-1_52JFP_2019-09-04_final
2019-09-04 11:05:19	ga_s2bm_ard_3-2-1_52JEP_2019-09-04_final
2019-09-04 11:05:22	ga_s2bm_ard_3-2-1_52JDP_2019-09-04_final
2019-09-04 11:05:25	ga_s2bm_ard_3-2-1_52JCP_2019-09-04_final
2019-09-04 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2019-09-04_final
2019-09-04 11:05:50	ga_s2bm_ard_3-2-1_52JDM_2019-09-04_final
2019-09-04 11:05:56	ga_s2bm_ard_3-2-1_52JEM_2019-09-04_final
2019-09-04 11:05:57	ga_s2bm_ard_3-2-1_52JDM_2019-09-04_final
2019-09-04 11:05:57	ga_s2bm_ard_3-2-1_52JDL_2019-09-04_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