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
2019-04-15 10:21:34	ga_s2bm_ard_3-2-1_54LWH_2019-04-15_final
2019-04-18 10:31:30	ga_s2bm_ard_3-2-1_54LWH_2019-04-18_final
2019-04-25 10:21:36	ga_s2bm_ard_3-2-1_54LWH_2019-04-25_final
2019-04-28 10:31:31	ga_s2bm_ard_3-2-1_54LWH_2019-04-28_final
2019-05-05 10:21:37	ga_s2bm_ard_3-2-1_54LWH_2019-05-05_final
2019-05-08 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-05-08_final
2019-05-15 10:21:38	ga_s2bm_ard_3-2-1_54LWH_2019-05-15_final
2019-05-18 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-05-18_final
2019-05-25 10:21:38	ga_s2bm_ard_3-2-1_54LWH_2019-05-25_final
2019-05-28 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-05-28_final
2019-06-04 10:21:37	ga_s2bm_ard_3-2-1_54LWH_2019-06-04_final
2019-06-07 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-06-07_final
2019-06-14 10:21:36	ga_s2bm_ard_3-2-1_54LWH_2019-06-14_final
2019-06-17 10:31:31	ga_s2bm_ard_3-2-1_54LWH_2019-06-17_final
2019-06-24 10:21:37	ga_s2bm_ard_3-2-1_54LWH_2019-06-24_final
2019-06-27 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-06-27_final
2019-07-04 10:21:38	ga_s2bm_ard_3-2-1_54LWH_2019-07-04_final
2019-07-07 10:31:33	ga_s2bm_ard_3-2-1_54LWH_2019-07-07_final
2019-07-14 10:21:38	ga_s2bm_ard_3-2-1_54LWH_2019-07-14_final
2019-07-17 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-07-17_final
2019-07-24 10:21:38	ga_s2bm_ard_3-2-1_54LWH_2019-07-24_final
2019-07-27 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-07-27_final
2019-08-03 10:21:37	ga_s2bm_ard_3-2-1_54LWH_2019-08-03_final
2019-08-06 10:31:31	ga_s2bm_ard_3-2-1_54LWH_2019-08-06_final
2019-08-13 10:21:36	ga_s2bm_ard_3-2-1_54LWH_2019-08-13_final
2019-08-16 10:31:30	ga_s2bm_ard_3-2-1_54LWH_2019-08-16_final
2019-08-23 10:21:34	ga_s2bm_ard_3-2-1_54LWH_2019-08-23_final
2019-08-26 10:31:28	ga_s2bm_ard_3-2-1_54LWH_2019-08-26_final
2019-09-02 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2019-09-02_final
2019-09-05 10:31:27	ga_s2bm_ard_3-2-1_54LWH_2019-09-05_final
2019-09-12 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2019-09-12_final
2019-09-15 10:31:24	ga_s2bm_ard_3-2-1_54LWH_2019-09-15_final
2019-09-22 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2019-09-22_final
2019-10-22 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2019-10-22_final
2019-10-25 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2019-10-25_final
2019-11-01 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2019-11-01_final
2019-11-04 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2019-11-04_final
2019-11-11 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2019-11-11_final
2019-11-14 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2019-11-14_final
2019-11-21 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2019-11-21_final
2019-11-24 10:31:19	ga_s2bm_ard_3-2-1_54LWH_2019-11-24_final
2019-12-04 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2019-12-04_final
2019-12-11 10:21:23	ga_s2bm_ard_3-2-1_54LWH_2019-12-11_final
2019-12-14 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2019-12-14_final
2019-12-21 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2019-12-21_final
2019-12-24 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2019-12-24_final
2019-12-31 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2019-12-31_final
2020-01-03 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2020-01-03_final
2020-01-10 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2020-01-10_final
2020-01-13 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2020-01-13_final
2020-01-20 10:21:23	ga_s2bm_ard_3-2-1_54LWH_2020-01-20_final
2020-01-23 10:31:16	ga_s2bm_ard_3-2-1_54LWH_2020-01-23_final
2020-01-30 10:21:22	ga_s2bm_ard_3-2-1_54LWH_2020-01-30_final
2020-02-02 10:31:15	ga_s2bm_ard_3-2-1_54LWH_2020-02-02_final
2020-02-29 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2020-02-29_final
2020-03-03 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-03-03_final
2020-03-13 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-03-13_final
2020-03-30 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2020-03-30_final
2020-04-02 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-04-02_final
2020-04-09 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2020-04-09_final
2020-04-12 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2020-04-12_final
2020-04-22 10:31:19	ga_s2bm_ard_3-2-1_54LWH_2020-04-22_final
2020-04-29 10:21:25	ga_s2bm_ard_3-2-1_54LWH_2020-04-29_final
2020-05-02 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2020-05-02_final
2020-05-09 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2020-05-09_final
2020-05-12 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2020-05-12_final
2020-05-19 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2020-05-19_final
2020-05-22 10:31:24	ga_s2bm_ard_3-2-1_54LWH_2020-05-22_final
2020-05-29 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2020-05-29_final
2020-06-08 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-06-08_final
2020-06-18 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-06-18_final
2020-06-21 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-06-21_final
2020-06-28 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-06-28_final
2020-07-01 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-07-01_final
2020-07-08 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-07-08_final
2020-07-11 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-07-11_final
2020-07-18 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-07-18_final
2020-07-21 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-07-21_final
2020-07-28 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-07-28_final
2020-07-31 10:31:31	ga_s2bm_ard_3-2-1_54LWH_2020-07-31_final
2020-08-07 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-08-07_final
2020-08-10 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-08-10_final
2020-08-17 10:21:33	ga_s2bm_ard_3-2-1_54LWH_2020-08-17_final
2020-08-20 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-08-20_final
2020-08-27 10:21:33	ga_s2bm_ard_3-2-1_54LWH_2020-08-27_final
2020-08-30 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-08-30_final
2020-09-06 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-09-06_final
2020-09-09 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2020-09-09_final
2020-09-16 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-09-16_final
2020-09-19 10:31:24	ga_s2bm_ard_3-2-1_54LWH_2020-09-19_final
2020-09-26 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-09-26_final
2020-09-29 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2020-09-29_final
2020-10-06 10:21:33	ga_s2bm_ard_3-2-1_54LWH_2020-10-06_final
2020-10-09 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-10-09_final
2020-10-16 10:21:33	ga_s2bm_ard_3-2-1_54LWH_2020-10-16_final
2020-10-19 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-10-19_final
2020-10-26 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-10-26_final
2020-11-05 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-11-05_final
2020-11-08 10:31:24	ga_s2bm_ard_3-2-1_54LWH_2020-11-08_final
2020-11-15 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2020-11-15_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