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
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50JQT_2018-10-01_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KQA_2018-10-01_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KRA_2018-10-01_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50JPT_2018-10-01_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JMT_2018-10-04_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KQA_2018-10-04_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KQB_2018-10-04_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLH_2018-10-04_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JPT_2018-10-04_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KLU_2018-10-04_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50JMT_2018-10-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KLA_2018-10-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KMC_2018-10-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-10-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KLU_2018-10-07_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKN_2018-10-07_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGK_2018-10-07_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49JGK_2018-10-10_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JQT_2018-10-11_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50KQA_2018-10-11_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JQN_2018-10-11_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JRT_2018-10-11_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMT_2018-10-14_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JQT_2018-10-14_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KMU_2018-10-14_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KPB_2018-10-14_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KPC_2018-10-14_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KQA_2018-10-14_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNT_2018-10-14_final
2018-10-17 12:02:46	ga_s2bm_ard_3-2-1_50KMC_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JMT_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KLB_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KMU_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGK_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLT_2018-10-17_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50JQT_2018-10-21_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50KRB_2018-10-21_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50JPT_2018-10-21_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HPH_2018-10-21_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KMC_2018-10-24_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPB_2018-10-24_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPC_2018-10-24_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KQA_2018-10-24_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KQB_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50KMU_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50KPB_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50KQA_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLT_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JMQ_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JNT_2018-10-24_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KLA_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLM_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2018-10-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KLV_2018-10-27_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JFM_2018-10-30_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JQT_2018-10-31_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50KQA_2018-10-31_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50KQB_2018-10-31_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JPT_2018-10-31_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMH_2018-10-31_final
2018-11-16 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2018-11-16_final
2018-11-16 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2018-11-16_final
2018-11-16 12:06:11	ga_s2bm_ard_3-2-1_50JLL_2018-11-16_final
2018-11-23 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2018-11-23_final
2018-11-23 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2018-11-23_final
2018-11-23 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2018-11-23_final
2018-11-26 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2018-11-26_final
2018-11-26 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2018-11-26_final
2018-11-30 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2018-11-30_final
2018-11-30 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2018-11-30_final
2018-12-03 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2018-12-03_final
2018-12-03 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2018-12-03_final
2018-12-03 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2018-12-03_final
2018-12-03 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2018-12-03_final
2018-12-03 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2018-12-03_final
2018-12-10 11:45:11	ga_s2bm_ard_3-2-1_50JQQ_2018-12-10_final
2018-12-13 11:54:56	ga_s2bm_ard_3-2-1_50JPR_2018-12-13_final
2018-12-13 11:55:46	ga_s2bm_ard_3-2-1_50JMN_2018-12-13_final
2018-12-16 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2018-12-16_final
2018-12-16 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2018-12-16_final
2018-12-17 11:34:43	ga_s2bm_ard_3-2-1_50JRS_2018-12-17_final
2018-12-20 11:45:02	ga_s2bm_ard_3-2-1_50JPR_2018-12-20_final
2018-12-20 11:45:31	ga_s2bm_ard_3-2-1_50JPP_2018-12-20_final
2018-12-20 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2018-12-20_final
2018-12-23 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2018-12-23_final
2018-12-23 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2018-12-23_final
2018-12-23 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2018-12-23_final
2018-12-23 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2018-12-23_final
2018-12-23 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2018-12-23_final
2018-12-23 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2018-12-23_final
2018-12-26 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2018-12-26_final
2018-12-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-12-27_final
2018-12-27 11:34:46	ga_s2bm_ard_3-2-1_50JRS_2018-12-27_final
2018-12-27 11:35:33	ga_s2bm_ard_3-2-1_50JQP_2018-12-27_final
2018-12-30 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2018-12-30_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