Search ga_s2bm_ard_3 across 2020

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
2020-01-01 09:56:51	ga_s2bm_ard_3-2-1_55HCV_2020-01-01_final
2020-01-01 09:56:58	ga_s2bm_ard_3-2-1_55HCV_2020-01-01_final
2020-01-02 11:00:49	ga_s2bm_ard_3-2-1_53LLF_2020-01-02_final
2020-01-07 10:10:35	ga_s2bm_ard_3-2-1_54LZL_2020-01-07_final
2020-01-10 10:27:09	ga_s2bm_ard_3-2-1_53HPV_2020-01-10_final.stac-item
2020-01-17 10:10:34	ga_s2bm_ard_3-2-1_54LZL_2020-01-17_final
2020-01-22 11:00:48	ga_s2bm_ard_3-2-1_53LLF_2020-01-22_final
2020-01-23 10:37:02	ga_s2bm_ard_3-2-1_53HPV_2020-01-23_final.stac-item
2020-01-27 10:10:33	ga_s2bm_ard_3-2-1_54LZL_2020-01-27_final
2020-02-06 10:10:34	ga_s2bm_ard_3-2-1_54LZL_2020-02-06_final
2020-02-16 10:10:36	ga_s2bm_ard_3-2-1_54LZL_2020-02-16_final
2020-02-26 10:10:37	ga_s2bm_ard_3-2-1_54LZL_2020-02-26_final
2020-03-07 10:10:38	ga_s2bm_ard_3-2-1_54LZL_2020-03-07_final
2020-03-17 10:10:38	ga_s2bm_ard_3-2-1_54LZL_2020-03-17_final
2020-03-18 09:47:05	ga_s2bm_ard_3-2-1_55HCV_2020-03-18_final
2020-03-27 10:10:38	ga_s2bm_ard_3-2-1_54LZL_2020-03-27_final
2020-03-28 09:47:05	ga_s2bm_ard_3-2-1_55HCV_2020-03-28_final
2020-04-06 10:10:37	ga_s2bm_ard_3-2-1_54LZL_2020-04-06_final
2020-04-07 09:47:04	ga_s2bm_ard_3-2-1_55HCV_2020-04-07_final
2020-04-16 10:10:36	ga_s2bm_ard_3-2-1_54LZL_2020-04-16_final
2020-04-17 09:47:02	ga_s2bm_ard_3-2-1_55HCV_2020-04-17_final
2020-04-26 10:10:35	ga_s2bm_ard_3-2-1_54LZL_2020-04-26_final
2020-04-27 09:47:02	ga_s2bm_ard_3-2-1_55HCV_2020-04-27_final
2020-05-02 10:37:05	ga_s2bm_ard_3-2-1_53HPV_2020-05-02_final.stac-item
2020-05-06 10:10:38	ga_s2bm_ard_3-2-1_54LZL_2020-05-06_final
2020-05-07 09:47:05	ga_s2bm_ard_3-2-1_55HCV_2020-05-07_final
2020-05-16 10:10:40	ga_s2bm_ard_3-2-1_54LZL_2020-05-16_final
2020-05-17 09:47:07	ga_s2bm_ard_3-2-1_55HCV_2020-05-17_final
2020-05-26 10:10:41	ga_s2bm_ard_3-2-1_54LZL_2020-05-26_final
2020-05-27 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2020-05-27_final
2020-06-05 10:10:42	ga_s2bm_ard_3-2-1_54LZL_2020-06-05_final
2020-06-06 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-06-06_final
2020-06-15 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-06-15_final
2020-06-16 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-06-16_final
2020-06-25 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-06-25_final
2020-06-26 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-06-26_final
2020-07-05 10:10:42	ga_s2bm_ard_3-2-1_54LZL_2020-07-05_final
2020-07-06 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-07-06_final
2020-07-15 10:10:42	ga_s2bm_ard_3-2-1_54LZL_2020-07-15_final
2020-07-16 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2020-07-16_final
2020-07-25 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-07-25_final
2020-07-26 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-07-26_final
2020-07-30 11:01:07	ga_s2bm_ard_3-2-1_53LKF_2020-07-30_final
2020-08-04 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-08-04_final
2020-08-05 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-08-05_final
2020-08-09 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2020-08-09_final
2020-08-09 11:01:08	ga_s2bm_ard_3-2-1_53LKF_2020-08-09_final
2020-08-14 10:10:44	ga_s2bm_ard_3-2-1_54LZL_2020-08-14_final
2020-08-15 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2020-08-15_final
2020-08-19 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2020-08-19_final
2020-08-19 11:01:08	ga_s2bm_ard_3-2-1_53LKF_2020-08-19_final
2020-08-24 10:10:44	ga_s2bm_ard_3-2-1_54LZL_2020-08-24_final
2020-08-25 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2020-08-25_final
2020-08-29 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2020-08-29_final
2020-08-29 11:01:08	ga_s2bm_ard_3-2-1_53LKF_2020-08-29_final
2020-09-03 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-09-03_final
2020-09-04 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-09-04_final
2020-09-08 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2020-09-08_final
2020-09-08 11:01:05	ga_s2bm_ard_3-2-1_53LKF_2020-09-08_final
2020-09-13 10:10:42	ga_s2bm_ard_3-2-1_54LZL_2020-09-13_final
2020-09-14 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-09-14_final
2020-09-18 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2020-09-18_final
2020-09-18 11:01:06	ga_s2bm_ard_3-2-1_53LKF_2020-09-18_final
2020-09-23 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-09-23_final
2020-09-24 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-09-24_final
2020-09-28 11:00:55	ga_s2bm_ard_3-2-1_53LKF_2020-09-28_final
2020-09-28 11:01:02	ga_s2bm_ard_3-2-1_53LKF_2020-09-28_final
2020-10-04 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-10-04_final
2020-10-08 11:01:00	ga_s2bm_ard_3-2-1_53LKF_2020-10-08_final
2020-10-08 11:01:06	ga_s2bm_ard_3-2-1_53LKF_2020-10-08_final
2020-10-13 10:10:44	ga_s2bm_ard_3-2-1_54LZL_2020-10-13_final
2020-10-14 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2020-10-14_final
2020-10-18 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2020-10-18_final
2020-10-18 11:01:08	ga_s2bm_ard_3-2-1_53LKF_2020-10-18_final
2020-10-23 10:10:44	ga_s2bm_ard_3-2-1_54LZL_2020-10-23_final
2020-10-24 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-10-24_final
2020-10-28 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2020-10-28_final
2020-11-02 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-11-02_final
2020-11-03 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2020-11-03_final
2020-11-07 11:01:00	ga_s2bm_ard_3-2-1_53LKF_2020-11-07_final
2020-11-12 10:10:41	ga_s2bm_ard_3-2-1_54LZL_2020-11-12_final
2020-11-13 09:47:01	ga_s2bm_ard_3-2-1_55HCV_2020-11-13_final
2020-11-13 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2020-11-13_final
2020-11-22 10:10:41	ga_s2bm_ard_3-2-1_54LZL_2020-11-22_final
2020-11-23 09:47:07	ga_s2bm_ard_3-2-1_55HCV_2020-11-23_final
2020-11-27 11:00:58	ga_s2bm_ard_3-2-1_53LKF_2020-11-27_final
2020-12-02 10:10:40	ga_s2bm_ard_3-2-1_54LZL_2020-12-02_final
2020-12-03 09:47:06	ga_s2bm_ard_3-2-1_55HCV_2020-12-03_final
2020-12-07 11:00:56	ga_s2bm_ard_3-2-1_53LKF_2020-12-07_final
2020-12-12 10:10:37	ga_s2bm_ard_3-2-1_54LZL_2020-12-12_final
2020-12-13 09:47:04	ga_s2bm_ard_3-2-1_55HCV_2020-12-13_final
2020-12-16 09:57:05	ga_s2bm_ard_3-2-1_55HCV_2020-12-16_final
2020-12-16 09:57:09	ga_s2bm_ard_3-2-1_54HXE_2020-12-16_final
2020-12-17 11:00:53	ga_s2bm_ard_3-2-1_53LKF_2020-12-17_final
2020-12-19 10:07:03	ga_s2bm_ard_3-2-1_54HXE_2020-12-19_final
2020-12-23 09:47:04	ga_s2bm_ard_3-2-1_55HCV_2020-12-23_final
2020-12-26 09:57:03	ga_s2bm_ard_3-2-1_54HXE_2020-12-26_final
2020-12-26 09:57:06	ga_s2bm_ard_3-2-1_55HCV_2020-12-26_final
2020-12-26 09:57:10	ga_s2bm_ard_3-2-1_54HXE_2020-12-26_final
2020-12-27 11:00:55	ga_s2bm_ard_3-2-1_53LKF_2020-12-27_final

Return to ga_s2bm_ard_3 across 2020 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

2020

All months