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
2019-01-02 10:16:14	ga_s2bm_ard_3-2-1_54HUJ_2019-01-02_final
2019-01-02 10:16:18	ga_s2bm_ard_3-2-1_54HTJ_2019-01-02_final
2019-01-02 10:16:29	ga_s2bm_ard_3-2-1_54HUH_2019-01-02_final
2019-01-02 10:16:32	ga_s2bm_ard_3-2-1_54HTH_2019-01-02_final
2019-01-05 10:25:33	ga_s2bm_ard_3-2-1_53JQG_2019-01-05_final
2019-01-05 10:25:38	ga_s2bm_ard_3-2-1_53JPG_2019-01-05_final
2019-01-05 10:26:11	ga_s2bm_ard_3-2-1_54HUJ_2019-01-05_final
2019-01-05 10:26:25	ga_s2bm_ard_3-2-1_54HUH_2019-01-05_final
2019-01-08 10:35:27	ga_s2bm_ard_3-2-1_53JPG_2019-01-08_final
2019-01-08 10:35:32	ga_s2bm_ard_3-2-1_53JQG_2019-01-08_final
2019-01-08 10:35:43	ga_s2bm_ard_3-2-1_53JQF_2019-01-08_final
2019-01-08 10:36:45	ga_s2bm_ard_3-2-1_53HPB_2019-01-08_final
2019-01-12 10:15:38	ga_s2bm_ard_3-2-1_54JUL_2019-01-12_final
2019-01-12 10:16:33	ga_s2bm_ard_3-2-1_54HTH_2019-01-12_final
2019-01-12 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2019-01-12_final
2019-01-15 10:25:34	ga_s2bm_ard_3-2-1_53JQG_2019-01-15_final
2019-01-15 10:25:39	ga_s2bm_ard_3-2-1_53JPG_2019-01-15_final
2019-01-15 10:25:42	ga_s2bm_ard_3-2-1_54JUL_2019-01-15_final
2019-01-15 10:26:15	ga_s2bm_ard_3-2-1_54HTJ_2019-01-15_final
2019-01-15 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2019-01-15_final
2019-01-15 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2019-01-15_final
2019-01-18 10:35:34	ga_s2bm_ard_3-2-1_53JPG_2019-01-18_final
2019-01-18 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2019-01-18_final
2019-01-22 10:15:47	ga_s2bm_ard_3-2-1_54JUL_2019-01-22_final
2019-01-22 10:16:16	ga_s2bm_ard_3-2-1_54HUJ_2019-01-22_final
2019-01-22 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2019-01-22_final
2019-01-25 10:25:35	ga_s2bm_ard_3-2-1_53JQG_2019-01-25_final
2019-01-25 10:26:14	ga_s2bm_ard_3-2-1_54HUJ_2019-01-25_final
2019-01-25 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2019-01-25_final
2019-01-25 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2019-01-25_final
2019-01-25 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2019-01-25_final
2019-01-28 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2019-01-28_final
2019-01-28 10:36:50	ga_s2bm_ard_3-2-1_53HNB_2019-01-28_final
2019-02-01 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2019-02-01_final
2019-02-01 10:14:28	ga_s2bm_ard_3-2-1_54JWR_2019-02-01_final
2019-02-01 10:14:31	ga_s2bm_ard_3-2-1_54JVR_2019-02-01_final
2019-02-01 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2019-02-01_final
2019-02-01 10:14:48	ga_s2bm_ard_3-2-1_54JYP_2019-02-01_final
2019-02-01 10:14:54	ga_s2bm_ard_3-2-1_54JXP_2019-02-01_final
2019-02-04 10:24:09	ga_s2bm_ard_3-2-1_54JWS_2019-02-04_final
2019-02-04 10:24:21	ga_s2bm_ard_3-2-1_54JWR_2019-02-04_final
2019-02-04 10:24:27	ga_s2bm_ard_3-2-1_54JVR_2019-02-04_final
2019-02-04 10:24:42	ga_s2bm_ard_3-2-1_54JVQ_2019-02-04_final
2019-02-08 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2019-02-08_final
2019-02-08 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_2019-02-08_final
2019-02-08 10:04:54	ga_s2bm_ard_3-2-1_54JYP_2019-02-08_final
2019-02-11 10:14:28	ga_s2bm_ard_3-2-1_54JWR_2019-02-11_final
2019-02-11 10:14:31	ga_s2bm_ard_3-2-1_54JVR_2019-02-11_final
2019-02-11 10:14:35	ga_s2bm_ard_3-2-1_54JYQ_2019-02-11_final
2019-02-11 10:14:39	ga_s2bm_ard_3-2-1_54JXQ_2019-02-11_final
2019-02-14 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2019-02-14_final
2019-02-14 10:24:27	ga_s2bm_ard_3-2-1_54JVR_2019-02-14_final
2019-02-14 10:24:41	ga_s2bm_ard_3-2-1_54JVQ_2019-02-14_final
2019-02-18 10:04:36	ga_s2bm_ard_3-2-1_55JBK_2019-02-18_final
2019-02-18 10:04:39	ga_s2bm_ard_3-2-1_54JYQ_2019-02-18_final
2019-02-18 10:04:57	ga_s2bm_ard_3-2-1_54JXP_2019-02-18_final
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final
2019-02-21 10:14:38	ga_s2bm_ard_3-2-1_54JXQ_2019-02-21_final
2019-02-21 10:14:47	ga_s2bm_ard_3-2-1_54JYP_2019-02-21_final
2019-02-21 10:14:53	ga_s2bm_ard_3-2-1_54JXP_2019-02-21_final
2019-02-24 10:24:08	ga_s2bm_ard_3-2-1_54JWS_2019-02-24_final
2019-02-24 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2019-02-24_final
2019-02-24 10:24:26	ga_s2bm_ard_3-2-1_54JVR_2019-02-24_final
2019-02-24 10:24:40	ga_s2bm_ard_3-2-1_54JVQ_2019-02-24_final
2019-02-28 10:04:06	ga_s2bm_ard_3-2-1_55JBM_2019-02-28_final
2019-02-28 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2019-02-28_final
2019-02-28 10:04:35	ga_s2bm_ard_3-2-1_55JBK_2019-02-28_final
2019-02-28 10:04:42	ga_s2bm_ard_3-2-1_54JXQ_2019-02-28_final
2019-02-28 10:04:52	ga_s2bm_ard_3-2-1_54JYP_2019-02-28_final
2019-03-01 09:35:23	ga_s2bm_ard_3-2-1_56JLL_2019-03-01_final
2019-03-01 09:35:52	ga_s2bm_ard_3-2-1_56HLJ_2019-03-01_final
2019-03-01 09:36:10	ga_s2bm_ard_3-2-1_56HKH_2019-03-01_final
2019-03-01 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2019-03-01_final
2019-03-06 10:20:08	ga_s2bm_ard_3-2-1_54LYN_2019-03-06_final
2019-03-06 10:20:22	ga_s2bm_ard_3-2-1_54LYM_2019-03-06_final
2019-03-08 09:25:55	ga_s2bm_ard_3-2-1_56HLJ_2019-03-07_final
2019-03-09 10:30:09	ga_s2bm_ard_3-2-1_54LWN_2019-03-09_final
2019-03-09 10:30:23	ga_s2bm_ard_3-2-1_54LWM_2019-03-09_final
2019-03-11 09:36:09	ga_s2bm_ard_3-2-1_56HKH_2019-03-11_final
2019-03-11 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2019-03-11_final
2019-03-13 10:10:23	ga_s2bm_ard_3-2-1_54LZM_2019-03-13_final
2019-03-13 10:10:51	ga_s2bm_ard_3-2-1_55LBE_2019-03-13_final
2019-03-14 09:45:06	ga_s2bm_ard_3-2-1_56JKM_2019-03-14_final
2019-03-16 10:19:53	ga_s2bm_ard_3-2-1_54LYP_2019-03-16_final
2019-03-16 10:20:16	ga_s2bm_ard_3-2-1_54LWN_2019-03-16_final
2019-03-16 10:20:19	ga_s2bm_ard_3-2-1_54LZM_2019-03-16_final
2019-03-18 09:25:28	ga_s2bm_ard_3-2-1_56JLL_2019-03-17_final
2019-03-19 10:29:53	ga_s2bm_ard_3-2-1_54LXP_2019-03-19_final
2019-03-21 09:35:12	ga_s2bm_ard_3-2-1_56JKM_2019-03-21_final
2019-03-21 09:35:56	ga_s2bm_ard_3-2-1_56HKJ_2019-03-21_final
2019-03-21 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2019-03-21_final
2019-03-23 10:11:08	ga_s2bm_ard_3-2-1_55LBD_2019-03-23_final
2019-03-24 09:45:09	ga_s2bm_ard_3-2-1_56JKM_2019-03-24_final
2019-03-26 10:20:11	ga_s2bm_ard_3-2-1_54LYN_2019-03-26_final
2019-03-26 10:20:14	ga_s2bm_ard_3-2-1_54LXN_2019-03-26_final
2019-03-28 09:25:31	ga_s2bm_ard_3-2-1_56JLL_2019-03-27_final
2019-03-31 09:35:15	ga_s2bm_ard_3-2-1_56JKM_2019-03-31_final
2019-03-31 09:35:26	ga_s2bm_ard_3-2-1_56JLL_2019-03-31_final
2019-03-31 09:35:55	ga_s2bm_ard_3-2-1_56HLJ_2019-03-31_final
2019-03-31 09:36:13	ga_s2bm_ard_3-2-1_56HKH_2019-03-31_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