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
2018-11-07 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2018-11-07_final
2018-11-07 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2018-11-07_final
2018-11-07 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2018-11-07_final
2018-11-07 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2018-11-07_final
2018-11-07 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2018-11-07_final
2018-11-07 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-07_final
2018-11-07 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2018-11-07_final.stac-item
2018-11-07 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2018-11-07_final.stac-item
2018-11-07 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2018-11-07_final.stac-item
2018-11-08 09:23:52	ga_s2bm_ard_3-2-1_56JNS_2018-11-07_final
2018-11-08 09:24:07	ga_s2bm_ard_3-2-1_56JNR_2018-11-07_final.stac-item
2018-11-08 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2018-11-07_final.stac-item
2018-11-08 09:24:25	ga_s2bm_ard_3-2-1_56JMQ_2018-11-07_final
2018-11-08 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2018-11-07_final.stac-item
2018-11-08 09:24:39	ga_s2bm_ard_3-2-1_56JMP_2018-11-07_final
2018-11-08 09:25:05	ga_s2bm_ard_3-2-1_56JNM_2018-11-07_final
2018-11-08 09:25:08	ga_s2bm_ard_3-2-1_56JMM_2018-11-07_final
2018-11-08 09:25:27	ga_s2bm_ard_3-2-1_56JLL_2018-11-07_final
2018-11-08 09:26:29	ga_s2bm_ard_3-2-1_56HKG_2018-11-07_final
2018-11-08 09:26:42	ga_s2bm_ard_3-2-1_56HKF_2018-11-07_final
2018-11-08 09:26:58	ga_s2bm_ard_3-2-1_55HGV_2018-11-07_final
2018-11-08 09:27:47	ga_s2bm_ard_3-2-1_55HFS_2018-11-07_final.stac-item
2018-11-08 09:27:53	ga_s2bm_ard_3-2-1_55GFR_2018-11-07_final
2018-11-08 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2018-11-07_final
2018-11-08 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2018-11-07_final
2018-11-08 09:28:28	ga_s2bm_ard_3-2-1_55GFP_2018-11-07_final
2018-11-08 09:28:35	ga_s2bm_ard_3-2-1_55GEP_2018-11-07_final
2018-11-08 11:00:12	ga_s2bm_ard_3-2-1_53LKJ_2018-11-08_final.stac-item
2018-11-08 11:00:20	ga_s2bm_ard_3-2-1_53LMH_2018-11-08_final.stac-item
2018-11-08 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2018-11-08_final
2018-11-08 11:00:38	ga_s2bm_ard_3-2-1_53LLG_2018-11-08_final
2018-11-08 11:00:41	ga_s2bm_ard_3-2-1_53LKG_2018-11-08_final
2018-11-08 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2018-11-08_final
2018-11-08 11:00:46	ga_s2bm_ard_3-2-1_53LMF_2018-11-08_final
2018-11-08 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2018-11-08_final
2018-11-08 11:00:52	ga_s2bm_ard_3-2-1_53LLF_2018-11-08_final
2018-11-08 11:00:55	ga_s2bm_ard_3-2-1_53LKF_2018-11-08_final
2018-11-08 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2018-11-08_final
2018-11-08 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2018-11-08_final
2018-11-08 11:01:06	ga_s2bm_ard_3-2-1_53LLE_2018-11-08_final
2018-11-08 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2018-11-08_final
2018-11-08 11:01:11	ga_s2bm_ard_3-2-1_52LHK_2018-11-08_final
2018-11-08 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2018-11-08_final
2018-11-08 11:01:21	ga_s2bm_ard_3-2-1_53LLD_2018-11-08_final
2018-11-08 11:01:24	ga_s2bm_ard_3-2-1_53LKD_2018-11-08_final
2018-11-08 11:01:26	ga_s2bm_ard_3-2-1_52LHJ_2018-11-08_final
2018-11-08 11:01:29	ga_s2bm_ard_3-2-1_52LGJ_2018-11-08_final
2018-11-08 11:01:36	ga_s2bm_ard_3-2-1_53LLC_2018-11-08_final
2018-11-08 11:01:37	ga_s2bm_ard_3-2-1_52LFJ_2018-11-08_final
2018-11-08 11:01:49	ga_s2bm_ard_3-2-1_53KLB_2018-11-08_final
2018-11-08 11:02:01	ga_s2bm_ard_3-2-1_53KLA_2018-11-08_final
2018-11-08 11:02:01	ga_s2bm_ard_3-2-1_52KFG_2018-11-08_final
2018-11-08 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2018-11-08_final
2018-11-08 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2018-11-08_final
2018-11-08 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2018-11-08_final
2018-11-08 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2018-11-08_final
2018-11-08 11:02:22	ga_s2bm_ard_3-2-1_53KKV_2018-11-08_final
2018-11-08 11:02:23	ga_s2bm_ard_3-2-1_52KHE_2018-11-08_final
2018-11-08 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2018-11-08_final
2018-11-08 11:02:36	ga_s2bm_ard_3-2-1_53KKU_2018-11-08_final
2018-11-08 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2018-11-08_final
2018-11-08 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2018-11-08_final
2018-11-08 11:02:43	ga_s2bm_ard_3-2-1_52KHC_2018-11-08_final
2018-11-08 11:02:44	ga_s2bm_ard_3-2-1_52KHD_2018-11-08_final
2018-11-08 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2018-11-08_final
2018-11-08 11:02:52	ga_s2bm_ard_3-2-1_53KKT_2018-11-08_final
2018-11-08 11:02:52	ga_s2bm_ard_3-2-1_52KHC_2018-11-08_final
2018-11-08 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2018-11-08_final
2018-11-08 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2018-11-08_final
2018-11-08 11:03:05	ga_s2bm_ard_3-2-1_53KKS_2018-11-08_final
2018-11-08 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2018-11-08_final
2018-11-08 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2018-11-08_final
2018-11-08 11:03:16	ga_s2bm_ard_3-2-1_53KKR_2018-11-08_final
2018-11-08 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2018-11-08_final
2018-11-08 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2018-11-08_final
2018-11-08 11:03:25	ga_s2bm_ard_3-2-1_52KGA_2018-11-08_final
2018-11-08 11:03:29	ga_s2bm_ard_3-2-1_52KFA_2018-11-08_final
2018-11-08 11:03:30	ga_s2bm_ard_3-2-1_52KHV_2018-11-08_final
2018-11-08 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2018-11-08_final
2018-11-08 11:03:39	ga_s2bm_ard_3-2-1_52KGV_2018-11-08_final
2018-11-08 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2018-11-08_final
2018-11-08 11:03:57	ga_s2bm_ard_3-2-1_52KFU_2018-11-08_final
2018-11-08 11:04:22	ga_s2bm_ard_3-2-1_52JGS_2018-11-08_final
2018-11-08 11:04:30	ga_s2bm_ard_3-2-1_52JES_2018-11-08_final
2018-11-08 11:04:33	ga_s2bm_ard_3-2-1_52JDS_2018-11-08_final
2018-11-08 11:04:41	ga_s2bm_ard_3-2-1_52JFR_2018-11-08_final
2018-11-08 11:04:45	ga_s2bm_ard_3-2-1_52JER_2018-11-08_final
2018-11-08 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2018-11-08_final
2018-11-08 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2018-11-08_final
2018-11-08 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2018-11-08_final
2018-11-08 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2018-11-08_final
2018-11-08 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2018-11-08_final
2018-11-08 11:05:14	ga_s2bm_ard_3-2-1_52JEP_2018-11-08_final
2018-11-08 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2018-11-08_final
2018-11-08 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2018-11-08_final
2018-11-08 11:05:42	ga_s2bm_ard_3-2-1_52JEM_2018-11-08_final
2018-11-08 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2018-11-08_final
2018-11-08 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2018-11-08_final
2018-11-08 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2018-11-08_final
2018-11-08 11:06:15	ga_s2bm_ard_3-2-1_52HDK_2018-11-08_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