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
2019-03-17 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2019-03-17_final
2019-03-24 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2019-03-24_final
2019-03-27 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2019-03-27_final
2019-04-03 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2019-04-03_final
2019-04-06 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2019-04-06_final
2019-04-13 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2019-04-13_final
2019-04-16 11:35:32	ga_s2bm_ard_3-2-1_51JVJ_2019-04-16_final
2019-04-23 11:25:37	ga_s2bm_ard_3-2-1_51JVJ_2019-04-23_final
2019-04-26 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-04-26_final
2019-05-03 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-05-03_final
2019-05-06 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-05-06_final
2019-05-13 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-05-13_final
2019-05-16 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-05-16_final
2019-05-23 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-05-23_final
2019-05-26 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-05-26_final
2019-06-02 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-06-02_final
2019-06-05 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-06-05_final
2019-06-12 11:25:38	ga_s2bm_ard_3-2-1_51JVJ_2019-06-12_final
2019-06-15 11:35:34	ga_s2bm_ard_3-2-1_51JVJ_2019-06-15_final
2019-06-22 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-06-22_final
2019-06-25 11:35:39	ga_s2bm_ard_3-2-1_51JVJ_2019-06-25_final
2019-07-02 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-07-02_final
2019-07-05 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-07-05_final
2019-07-12 11:25:40	ga_s2bm_ard_3-2-1_51JVJ_2019-07-12_final
2019-07-15 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-07-15_final
2019-07-22 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-07-22_final
2019-07-25 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-07-25_final
2019-08-01 11:25:39	ga_s2bm_ard_3-2-1_51JVJ_2019-08-01_final
2019-08-04 11:35:34	ga_s2bm_ard_3-2-1_51JVJ_2019-08-04_final
2019-08-11 11:25:38	ga_s2bm_ard_3-2-1_51JVJ_2019-08-11_final
2019-08-14 11:35:33	ga_s2bm_ard_3-2-1_51JVJ_2019-08-14_final
2019-08-21 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2019-08-21_final
2019-08-24 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2019-08-24_final
2019-08-31 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2019-08-31_final
2019-09-03 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2019-09-03_final
2019-09-10 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2019-09-10_final
2019-09-13 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2019-09-13_final
2019-09-20 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2019-09-20_final
2019-09-23 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2019-09-23_final
2019-09-30 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2019-09-30_final
2019-10-03 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2019-10-03_final
2019-10-10 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2019-10-10_final
2019-10-13 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2019-10-13_final
2019-10-20 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2019-10-20_final
2019-10-23 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2019-10-23_final
2019-10-30 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2019-10-30_final
2019-11-02 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2019-11-02_final
2020-07-19 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2020-07-19_final
2020-08-05 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2020-08-05_final
2020-08-08 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2020-08-08_final
2020-08-15 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2020-08-15_final
2020-08-18 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2020-08-18_final
2020-08-28 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2020-08-28_final
2021-06-29 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-06-29_final
2021-07-06 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-07-06_final
2021-07-09 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-07-09_final
2021-07-16 10:35:11	ga_s2bm_ard_3-2-1_53JNJ_2021-07-16_final
2021-07-19 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-07-19_final
2021-07-26 10:35:11	ga_s2bm_ard_3-2-1_53JNJ_2021-07-26_final
2021-07-29 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-07-29_final
2021-08-05 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-08-05_final
2021-08-08 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-08-08_final
2021-08-15 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2021-08-15_final
2021-08-18 10:45:04	ga_s2bm_ard_3-2-1_53JNJ_2021-08-18_final
2021-08-25 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2021-08-25_final
2021-08-28 10:45:02	ga_s2bm_ard_3-2-1_53JNJ_2021-08-28_final
2021-09-04 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2021-09-04_final
2021-09-07 10:45:01	ga_s2bm_ard_3-2-1_53JNJ_2021-09-07_final
2021-09-14 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2021-09-14_final
2021-09-17 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2021-09-17_final
2021-09-24 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2021-09-24_final
2021-09-27 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2021-09-27_final
2021-10-04 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2021-10-04_final
2021-10-07 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-10-07_final
2021-10-14 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-10-14_final
2021-10-17 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-10-17_final
2021-10-24 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-10-24_final
2021-10-27 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2021-10-27_final
2021-11-03 10:35:10	ga_s2bm_ard_3-2-1_53JNJ_2021-11-03_final
2021-11-06 10:45:05	ga_s2bm_ard_3-2-1_53JNJ_2021-11-06_final
2021-11-13 10:35:08	ga_s2bm_ard_3-2-1_53JNJ_2021-11-13_final
2021-11-16 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2021-11-16_final
2021-11-23 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2021-11-23_final
2021-11-26 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2021-11-26_final
2021-12-03 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2021-12-03_final
2021-12-06 10:44:59	ga_s2bm_ard_3-2-1_53JNJ_2021-12-06_final
2021-12-13 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2021-12-13_final
2021-12-16 10:44:58	ga_s2bm_ard_3-2-1_53JNJ_2021-12-16_final
2021-12-23 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2021-12-23_final
2021-12-26 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2021-12-26_final
2022-01-02 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2022-01-02_final
2022-01-05 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2022-01-05_final
2022-01-12 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2022-01-12_final
2022-01-15 10:45:00	ga_s2bm_ard_3-2-1_53JNJ_2022-01-15_final
2022-01-22 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2022-01-22_final
2022-01-25 10:44:59	ga_s2bm_ard_3-2-1_53JNJ_2022-01-25_final
2022-02-01 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-01_final
2022-02-04 10:44:59	ga_s2bm_ard_3-2-1_53JNJ_2022-02-04_final
2022-02-11 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-11_final
2022-02-14 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-14_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