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
2021-03-13 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2021-03-13_final
2021-03-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-03-18_final
2021-04-05 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2021-04-05_final
2021-04-05 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2021-04-05_final
2021-04-05 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2021-04-05_final
2021-04-05 11:35:31	ga_s2bm_ard_3-2-1_51JTJ_2021-04-05_final
2021-04-05 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2021-04-05_final
2021-04-08 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2021-04-08_final
2021-04-15 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2021-04-15_final
2021-04-15 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2021-04-15_final
2021-04-18 11:44:40	ga_s2bm_ard_3-2-1_51JTM_2021-04-18_final
2021-04-18 11:45:24	ga_s2bm_ard_3-2-1_51JTJ_2021-04-18_final
2021-04-25 11:34:31	ga_s2bm_ard_3-2-1_51JTN_2021-04-25_final
2021-04-25 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2021-04-25_final
2021-04-25 11:35:39	ga_s2bm_ard_3-2-1_51JUH_2021-04-25_final
2021-04-25 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2021-04-25_final
2021-04-28 11:45:39	ga_s2bm_ard_3-2-1_51JTH_2021-04-28_final
2021-05-01 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2021-05-01_final
2021-05-01 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-05-01_final
2021-05-01 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-05-01_final
2021-05-01 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-01_final
2021-05-01 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-05-01_final
2021-05-04 12:04:44	ga_s2bm_ard_3-2-1_50JKS_2021-05-04_final
2021-05-04 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2021-05-04_final
2021-05-04 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-05-04_final
2021-05-04 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-05-04_final
2021-05-04 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-05-04_final
2021-05-05 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2021-05-05_final
2021-05-05 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2021-05-05_final
2021-05-05 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2021-05-05_final
2021-05-05 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2021-05-05_final
2021-05-05 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2021-05-05_final
2021-05-05 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2021-05-05_final
2021-05-05 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2021-05-05_final
2021-05-05 11:35:47	ga_s2bm_ard_3-2-1_50JQN_2021-05-05_final
2021-05-08 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2021-05-08_final
2021-05-08 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2021-05-08_final
2021-05-08 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2021-05-08_final
2021-05-08 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2021-05-08_final
2021-05-08 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2021-05-08_final
2021-05-08 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2021-05-08_final
2021-05-08 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2021-05-08_final
2021-05-08 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2021-05-08_final
2021-05-11 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2021-05-11_final
2021-05-11 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2021-05-11_final
2021-05-11 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2021-05-11_final
2021-05-11 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2021-05-11_final
2021-05-11 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-05-11_final
2021-05-11 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2021-05-11_final
2021-05-11 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2021-05-11_final
2021-05-11 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2021-05-11_final
2021-05-11 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2021-05-11_final
2021-05-11 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-05-11_final
2021-05-12 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2021-05-12_final
2021-05-14 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2021-05-14_final
2021-05-14 12:04:45	ga_s2bm_ard_3-2-1_50JLS_2021-05-14_final
2021-05-14 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2021-05-14_final
2021-05-14 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-05-14_final
2021-05-14 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-05-14_final
2021-05-14 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-05-14_final
2021-05-15 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-05-15_final
2021-05-15 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-05-15_final
2021-05-15 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2021-05-15_final
2021-05-15 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2021-05-15_final
2021-05-15 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-05-15_final
2021-05-15 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-05-15_final
2021-05-18 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2021-05-18_final
2021-05-18 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2021-05-18_final
2021-05-18 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2021-05-18_final
2021-05-18 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2021-05-18_final
2021-05-18 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-05-18_final
2021-05-18 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2021-05-18_final
2021-05-18 11:46:01	ga_s2bm_ard_3-2-1_50JNM_2021-05-18_final
2021-05-21 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2021-05-21_final
2021-05-21 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2021-05-21_final
2021-05-21 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2021-05-21_final
2021-05-21 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-05-21_final
2021-05-21 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-05-21_final
2021-05-21 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2021-05-21_final
2021-05-21 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-05-21_final
2021-05-22 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2021-05-22_final
2021-05-24 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2021-05-24_final
2021-05-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-24_final
2021-05-24 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-24_final
2021-05-24 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-05-24_final
2021-05-25 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2021-05-25_final
2021-05-25 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2021-05-25_final
2021-05-25 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2021-05-25_final
2021-05-25 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2021-05-25_final
2021-05-28 11:45:12	ga_s2bm_ard_3-2-1_50JNR_2021-05-28_final
2021-05-28 11:45:30	ga_s2bm_ard_3-2-1_51JTJ_2021-05-28_final
2021-05-28 11:45:33	ga_s2bm_ard_3-2-1_50JQP_2021-05-28_final
2021-05-28 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2021-05-28_final
2021-05-28 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2021-05-28_final
2021-05-28 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2021-05-28_final
2021-05-31 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-05-31_final
2021-05-31 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-05-31_final
2021-05-31 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-05-31_final
2021-05-31 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2021-05-31_final
2021-05-31 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-05-31_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