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
2022-08-28 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2022-08-28_final
2022-08-28 11:31:31	ga_s2bm_ard_3-2-1_51LWE_2022-08-28_final
2022-08-28 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2022-08-28_final
2022-08-28 11:31:53	ga_s2bm_ard_3-2-1_51LYC_2022-08-28_final
2022-08-28 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2022-08-28_final
2022-08-28 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2022-08-28_final
2022-08-28 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2022-08-28_final
2022-08-28 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2022-08-28_final
2022-08-28 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2022-08-28_final
2022-08-28 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2022-08-28_final
2022-08-28 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2022-08-28_final
2022-08-28 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2022-08-28_final
2022-08-28 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2022-08-28_final
2022-08-28 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2022-08-28_final
2022-08-28 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2022-08-28_final
2022-08-28 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-08-28_final
2022-08-28 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2022-08-28_final
2022-08-28 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2022-08-28_final
2022-08-28 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2022-08-28_final
2022-08-28 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2022-08-28_final
2022-08-28 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2022-08-28_final
2022-08-28 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2022-08-28_final
2022-08-28 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2022-08-28_final
2022-08-28 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2022-08-28_final
2022-08-28 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2022-08-28_final
2022-08-28 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2022-08-28_final
2022-08-28 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2022-08-28_final
2022-08-28 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2022-08-28_final
2022-08-28 11:35:48	ga_s2bm_ard_3-2-1_51JTH_2022-08-28_final
2022-08-28 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-08-28_final
2022-08-28 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2022-08-28_final
2022-08-28 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2022-08-28_final
2022-08-28 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2022-08-28_final
2022-08-28 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2022-08-28_final
2022-08-28 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2022-08-28_final
2022-08-28 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-08-28_final
2022-08-28 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2022-08-28_final
2022-08-29 11:02:04	ga_s2bm_ard_3-2-1_52KFG_2022-08-29_final
2022-08-29 11:02:50	ga_s2bm_ard_3-2-1_52KFD_2022-08-29_final
2022-08-29 11:02:59	ga_s2bm_ard_3-2-1_52KGC_2022-08-29_final
2022-08-29 11:03:02	ga_s2bm_ard_3-2-1_52KFC_2022-08-29_final
2022-08-29 11:04:00	ga_s2bm_ard_3-2-1_52KFU_2022-08-29_final
2022-08-29 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2022-08-29_final
2022-08-29 11:04:11	ga_s2bm_ard_3-2-1_52JGT_2022-08-29_final
2022-08-29 11:04:15	ga_s2bm_ard_3-2-1_52JFT_2022-08-29_final
2022-08-29 11:04:19	ga_s2bm_ard_3-2-1_52JET_2022-08-29_final
2022-08-29 11:04:29	ga_s2bm_ard_3-2-1_52JFS_2022-08-29_final
2022-08-29 11:04:33	ga_s2bm_ard_3-2-1_52JES_2022-08-29_final
2022-08-29 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2022-08-29_final
2022-08-29 11:04:51	ga_s2bm_ard_3-2-1_52JDR_2022-08-29_final
2022-08-29 11:05:09	ga_s2bm_ard_3-2-1_52JCQ_2022-08-29_final
2022-08-29 11:05:13	ga_s2bm_ard_3-2-1_52JFP_2022-08-29_final
2022-08-29 11:05:23	ga_s2bm_ard_3-2-1_52JCP_2022-08-29_final
2022-08-29 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2022-08-29_final
2022-08-29 11:05:35	ga_s2bm_ard_3-2-1_52JDN_2022-08-29_final
2022-08-29 11:05:45	ga_s2bm_ard_3-2-1_52JEM_2022-08-29_final
2022-08-29 11:05:49	ga_s2bm_ard_3-2-1_52JDM_2022-08-29_final
2022-08-29 11:05:59	ga_s2bm_ard_3-2-1_52JBM_2022-08-29_final
2022-08-29 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2022-08-29_final
2022-08-29 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2022-08-29_final
2022-08-29 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2022-08-29_final
2022-08-30 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2022-08-30_final
2022-08-30 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2022-08-30_final
2022-08-30 12:14:08	ga_s2bm_ard_3-2-1_50KKV_2022-08-30_final
2022-08-30 12:14:32	ga_s2bm_ard_3-2-1_49JHN_2022-08-30_final
2022-08-30 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2022-08-30_final
2022-08-30 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2022-08-30_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-08-30 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2022-08-30_final
2022-08-31 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2022-08-31_final
2022-08-31 11:41:27	ga_s2bm_ard_3-2-1_51LWE_2022-08-31_final
2022-08-31 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2022-08-31_final
2022-08-31 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2022-08-31_final
2022-08-31 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2022-08-31_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2022-08-31_final
2022-08-31 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-08-31_final
2022-08-31 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2022-08-31_final
2022-08-31 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2022-08-31_final
2022-08-31 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2022-08-31_final
2022-08-31 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2022-08-31_final
2022-08-31 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2022-08-31_final
2022-08-31 11:44:06	ga_s2bm_ard_3-2-1_50KQV_2022-08-31_final
2022-08-31 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2022-08-31_final
2022-08-31 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2022-08-31_final
2022-08-31 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2022-08-31_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2022-08-31_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2022-08-31_final
2022-08-31 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2022-08-31_final
2022-08-31 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2022-08-31_final
2022-08-31 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2022-08-31_final
2022-08-31 11:45:30	ga_s2bm_ard_3-2-1_51JTJ_2022-08-31_final
2022-08-31 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2022-08-31_final
2022-08-31 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2022-08-31_final
2022-08-31 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2022-08-31_final
2022-08-31 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-08-31_final
2022-08-31 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2022-08-31_final
2022-08-31 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2022-08-31_final
2022-08-31 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-08-31_final
2022-08-31 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-31_final
2022-08-31 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-31_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