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
2019-08-24 11:32:27	ga_s2bm_ard_3-2-1_51KYA_2019-08-24_final
2019-08-24 11:32:31	ga_s2bm_ard_3-2-1_51KXA_2019-08-24_final
2019-08-24 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2019-08-24_final
2019-08-24 11:32:37	ga_s2bm_ard_3-2-1_51KVA_2019-08-24_final
2019-08-24 11:32:42	ga_s2bm_ard_3-2-1_51KYV_2019-08-24_final
2019-08-24 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2019-08-24_final
2019-08-24 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2019-08-24_final
2019-08-24 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2019-08-24_final
2019-08-24 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2019-08-24_final
2019-08-24 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2019-08-24_final
2019-08-24 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2019-08-24_final
2019-08-24 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2019-08-24_final
2019-08-24 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2019-08-24_final
2019-08-24 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2019-08-24_final
2019-08-24 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2019-08-24_final
2019-08-24 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2019-08-24_final
2019-08-24 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2019-08-24_final
2019-08-24 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2019-08-24_final
2019-08-24 11:34:44	ga_s2bm_ard_3-2-1_51JWM_2019-08-24_final
2019-08-24 11:34:48	ga_s2bm_ard_3-2-1_51JVM_2019-08-24_final
2019-08-24 11:34:54	ga_s2bm_ard_3-2-1_51JTM_2019-08-24_final
2019-08-24 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2019-08-24_final
2019-08-24 11:35:13	ga_s2bm_ard_3-2-1_51JWK_2019-08-24_final
2019-08-24 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2019-08-24_final
2019-08-24 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2019-08-24_final
2019-08-24 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2019-08-24_final
2019-08-24 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2019-08-24_final
2019-08-24 11:35:57	ga_s2bm_ard_3-2-1_51JTH_2019-08-24_final
2019-08-24 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2019-08-24_final
2019-08-24 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2019-08-24_final
2019-08-24 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2019-08-24_final
2019-08-24 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2019-08-24_final
2019-08-24 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2019-08-24_final
2019-08-24 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2019-08-24_final
2019-08-24 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2019-08-24_final.stac-item
2019-08-24 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2019-08-24_final.stac-item
2019-08-24 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2019-08-24_final.stac-item
2019-08-25 09:23:59	ga_s2bm_ard_3-2-1_56JNS_2019-08-24_final
2019-08-25 09:24:14	ga_s2bm_ard_3-2-1_56JNR_2019-08-24_final.stac-item
2019-08-25 09:24:28	ga_s2bm_ard_3-2-1_56JNQ_2019-08-24_final.stac-item
2019-08-25 09:25:34	ga_s2bm_ard_3-2-1_56JLL_2019-08-24_final
2019-08-25 09:25:44	ga_s2bm_ard_3-2-1_56HMK_2019-08-24_final
2019-08-25 09:26:36	ga_s2bm_ard_3-2-1_56HKG_2019-08-24_final
2019-08-25 09:26:49	ga_s2bm_ard_3-2-1_56HKF_2019-08-24_final
2019-08-25 09:28:35	ga_s2bm_ard_3-2-1_55GFP_2019-08-24_final
2019-08-25 11:00:27	ga_s2bm_ard_3-2-1_53LMH_2019-08-25_final.stac-item
2019-08-25 11:00:30	ga_s2bm_ard_3-2-1_53LLH_2019-08-25_final.stac-item
2019-08-25 11:00:33	ga_s2bm_ard_3-2-1_53LKH_2019-08-25_final
2019-08-25 11:00:35	ga_s2bm_ard_3-2-1_52LHN_2019-08-25_final
2019-08-25 11:00:42	ga_s2bm_ard_3-2-1_52LGN_2019-08-25_final
2019-08-25 11:00:45	ga_s2bm_ard_3-2-1_53LLG_2019-08-25_final
2019-08-25 11:00:48	ga_s2bm_ard_3-2-1_53LKG_2019-08-25_final
2019-08-25 11:00:49	ga_s2bm_ard_3-2-1_52LHM_2019-08-25_final
2019-08-25 11:00:53	ga_s2bm_ard_3-2-1_53LMF_2019-08-25_final
2019-08-25 11:00:53	ga_s2bm_ard_3-2-1_52LGM_2019-08-25_final
2019-08-25 11:00:59	ga_s2bm_ard_3-2-1_53LLF_2019-08-25_final
2019-08-25 11:01:03	ga_s2bm_ard_3-2-1_53LKF_2019-08-25_final
2019-08-25 11:01:03	ga_s2bm_ard_3-2-1_53LME_2019-08-25_final
2019-08-25 11:01:04	ga_s2bm_ard_3-2-1_52LHL_2019-08-25_final
2019-08-25 11:01:07	ga_s2bm_ard_3-2-1_52LGL_2019-08-25_final
2019-08-25 11:01:33	ga_s2bm_ard_3-2-1_52LHJ_2019-08-25_final
2019-08-25 11:01:36	ga_s2bm_ard_3-2-1_52LGJ_2019-08-25_final
2019-08-25 11:02:08	ga_s2bm_ard_3-2-1_53KLA_2019-08-25_final
2019-08-25 11:02:15	ga_s2bm_ard_3-2-1_53KKA_2019-08-25_final
2019-08-25 11:02:16	ga_s2bm_ard_3-2-1_52KHF_2019-08-25_final
2019-08-25 11:02:20	ga_s2bm_ard_3-2-1_52KGF_2019-08-25_final
2019-08-25 11:02:23	ga_s2bm_ard_3-2-1_52KFF_2019-08-25_final
2019-08-25 11:02:31	ga_s2bm_ard_3-2-1_52KHE_2019-08-25_final
2019-08-25 11:02:34	ga_s2bm_ard_3-2-1_52KGE_2019-08-25_final
2019-08-25 11:02:44	ga_s2bm_ard_3-2-1_53KKU_2019-08-25_final
2019-08-25 11:02:45	ga_s2bm_ard_3-2-1_52KHD_2019-08-25_final
2019-08-25 11:02:49	ga_s2bm_ard_3-2-1_52KGD_2019-08-25_final
2019-08-25 11:02:59	ga_s2bm_ard_3-2-1_53KKT_2019-08-25_final
2019-08-25 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2019-08-25_final
2019-08-25 11:03:07	ga_s2bm_ard_3-2-1_52KFC_2019-08-25_final
2019-08-25 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2019-08-25_final
2019-08-25 11:03:18	ga_s2bm_ard_3-2-1_52KGB_2019-08-25_final
2019-08-25 11:03:24	ga_s2bm_ard_3-2-1_53KKR_2019-08-25_final
2019-08-25 11:03:32	ga_s2bm_ard_3-2-1_52KGA_2019-08-25_final
2019-08-25 11:03:36	ga_s2bm_ard_3-2-1_52KFA_2019-08-25_final
2019-08-25 11:03:38	ga_s2bm_ard_3-2-1_52KHV_2019-08-25_final
2019-08-25 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2019-08-25_final
2019-08-25 11:03:46	ga_s2bm_ard_3-2-1_52KGV_2019-08-25_final
2019-08-25 11:04:01	ga_s2bm_ard_3-2-1_52KGU_2019-08-25_final
2019-08-25 11:04:05	ga_s2bm_ard_3-2-1_52KFU_2019-08-25_final
2019-08-25 11:04:16	ga_s2bm_ard_3-2-1_52JGT_2019-08-25_final
2019-08-25 11:04:29	ga_s2bm_ard_3-2-1_52JGS_2019-08-25_final
2019-08-25 11:04:34	ga_s2bm_ard_3-2-1_52JFS_2019-08-25_final
2019-08-25 11:04:37	ga_s2bm_ard_3-2-1_52JES_2019-08-25_final
2019-08-25 11:04:41	ga_s2bm_ard_3-2-1_52JDS_2019-08-25_final
2019-08-25 11:05:00	ga_s2bm_ard_3-2-1_52JCR_2019-08-25_final
2019-08-25 11:05:17	ga_s2bm_ard_3-2-1_52JFP_2019-08-25_final
2019-08-25 11:05:27	ga_s2bm_ard_3-2-1_52JCP_2019-08-25_final
2019-08-25 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2019-08-25_final
2019-08-25 11:05:52	ga_s2bm_ard_3-2-1_52JDM_2019-08-25_final
2019-08-25 11:05:58	ga_s2bm_ard_3-2-1_52JEM_2019-08-25_final
2019-08-25 11:05:59	ga_s2bm_ard_3-2-1_52JDM_2019-08-25_final
2019-08-25 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2019-08-25_final
2019-08-25 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2019-08-25_final
2019-08-25 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2019-08-25_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