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
2022-08-01 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2022-08-01_final
2022-08-01 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2022-08-01_final
2022-08-01 11:45:51	ga_s2bm_ard_3-2-1_50JQN_2022-08-01_final
2022-08-01 11:45:55	ga_s2bm_ard_3-2-1_50JPN_2022-08-01_final
2022-08-04 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2022-08-04_final
2022-08-04 11:55:11	ga_s2bm_ard_3-2-1_50JNR_2022-08-04_final
2022-08-04 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2022-08-04_final
2022-08-04 11:55:25	ga_s2bm_ard_3-2-1_50JNQ_2022-08-04_final
2022-08-04 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2022-08-04_final
2022-08-04 11:55:43	ga_s2bm_ard_3-2-1_50JMP_2022-08-04_final
2022-08-04 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-08-04_final
2022-08-04 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-08-04_final
2022-08-05 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2022-08-05_final
2022-08-07 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2022-08-07_final
2022-08-07 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2022-08-07_final
2022-08-07 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-08-07_final
2022-08-07 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2022-08-07_final
2022-08-07 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-08-07_final
2022-08-07 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2022-08-07_final
2022-08-07 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2022-08-07_final
2022-08-07 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-08-07_final
2022-08-07 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2022-08-07_final
2022-08-07 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-08-07_final
2022-08-07 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2022-08-07_final
2022-08-07 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2022-08-07_final
2022-08-08 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2022-08-08_final
2022-08-08 11:35:41	ga_s2bm_ard_3-2-1_50JQP_2022-08-08_final
2022-08-08 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-08-08_final
2022-08-08 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-08-08_final
2022-08-10 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2022-08-10_final
2022-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2022-08-10_final
2022-08-10 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2022-08-10_final
2022-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2022-08-10_final
2022-08-10 12:14:22	ga_s2bm_ard_3-2-1_50KKU_2022-08-10_final
2022-08-10 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2022-08-10_final
2022-08-10 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2022-08-10_final
2022-08-10 12:14:35	ga_s2bm_ard_3-2-1_49JHN_2022-08-10_final
2022-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2022-08-10_final
2022-08-10 12:14:49	ga_s2bm_ard_3-2-1_49JFN_2022-08-10_final
2022-08-11 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2022-08-11_final
2022-08-11 11:45:12	ga_s2bm_ard_3-2-1_50JNR_2022-08-11_final
2022-08-11 11:45:18	ga_s2bm_ard_3-2-1_50JNR_2022-08-11_final
2022-08-11 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2022-08-11_final
2022-08-11 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2022-08-11_final
2022-08-11 11:45:54	ga_s2bm_ard_3-2-1_50JPN_2022-08-11_final
2022-08-12 11:16:30	ga_s2bm_ard_3-2-1_51HXE_2022-08-12_final
2022-08-14 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2022-08-14_final
2022-08-14 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2022-08-14_final
2022-08-14 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2022-08-14_final
2022-08-14 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2022-08-14_final
2022-08-14 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2022-08-14_final
2022-08-14 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2022-08-14_final
2022-08-17 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2022-08-17_final
2022-08-17 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-08-17_final
2022-08-17 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2022-08-17_final
2022-08-17 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2022-08-17_final
2022-08-17 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2022-08-17_final
2022-08-17 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2022-08-17_final
2022-08-17 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2022-08-17_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final
2022-08-17 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-08-17_final
2022-08-17 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2022-08-17_final
2022-08-17 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2022-08-17_final
2022-08-18 11:34:39	ga_s2bm_ard_3-2-1_50JRT_2022-08-18_final
2022-08-18 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2022-08-18_final
2022-08-18 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2022-08-18_final
2022-08-18 11:36:36	ga_s2bm_ard_3-2-1_51HVD_2022-08-18_final
2022-08-18 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-08-18_final
2022-08-20 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-08-20_final
2022-08-20 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-08-20_final
2022-08-20 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2022-08-20_final
2022-08-20 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2022-08-20_final
2022-08-20 12:14:21	ga_s2bm_ard_3-2-1_50KKU_2022-08-20_final
2022-08-20 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-08-20_final
2022-08-20 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2022-08-20_final
2022-08-20 12:14:47	ga_s2bm_ard_3-2-1_49JFN_2022-08-20_final
2022-08-21 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2022-08-21_final
2022-08-21 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2022-08-21_final
2022-08-21 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2022-08-21_final
2022-08-21 11:45:33	ga_s2bm_ard_3-2-1_50JQP_2022-08-21_final
2022-08-21 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2022-08-21_final
2022-08-21 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2022-08-21_final
2022-08-21 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-08-21_final
2022-08-21 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-08-21_final
2022-08-24 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2022-08-24_final
2022-08-24 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2022-08-24_final
2022-08-24 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2022-08-24_final
2022-08-24 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2022-08-24_final
2022-08-24 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2022-08-24_final
2022-08-24 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2022-08-24_final
2022-08-27 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2022-08-27_final
2022-08-27 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-08-27_final
2022-08-27 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2022-08-27_final
2022-08-27 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-08-27_final
2022-08-27 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2022-08-27_final
2022-08-27 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-08-27_final
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2022-08-27_final
2022-08-27 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2022-08-27_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