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
2019-09-25 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2019-09-25_final
2019-10-05 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2019-10-05_final
2019-10-12 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2019-10-12_final
2019-10-15 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2019-10-15_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
2019-12-01 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2019-12-01_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
2020-02-09 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2020-02-09_final
2020-02-12 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2020-02-12_final
2020-02-22 10:31:19	ga_s2bm_ard_3-2-1_54LWH_2020-02-22_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
2020-03-10 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2020-03-10_final
2020-03-13 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-03-13_final
2020-03-20 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2020-03-20_final
2020-03-23 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-03-23_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
2020-04-19 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2020-04-19_final
2020-04-22 10:31:19	ga_s2bm_ard_3-2-1_54LWH_2020-04-22_final
2020-06-21 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-06-21_final
2020-07-11 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-07-11_final
2020-07-21 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2020-07-21_final
2020-08-07 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-08-07_final
2020-09-16 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2020-09-16_final
2020-09-29 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2020-09-29_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
2020-11-15 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2020-11-15_final
2020-11-18 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2020-11-18_final
2020-11-25 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2020-11-25_final
2020-11-28 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-11-28_final
2020-12-05 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2020-12-05_final
2020-12-15 10:21:25	ga_s2bm_ard_3-2-1_54LWH_2020-12-15_final
2020-12-18 10:31:18	ga_s2bm_ard_3-2-1_54LWH_2020-12-18_final
2020-12-25 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2020-12-25_final
2020-12-28 10:31:20	ga_s2bm_ard_3-2-1_54LWH_2020-12-28_final
2021-01-04 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2021-01-04_final
2021-01-14 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-01-14_final
2021-01-17 10:31:32	ga_s2bm_ard_3-2-1_54KWG_2021-01-17_final
2021-01-24 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-01-24_final
2021-02-03 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-02-03_final
2021-02-13 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2021-02-13_final
2021-02-23 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2021-02-23_final
2021-03-05 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2021-03-05_final
2021-03-15 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-03-15_final
2021-03-18 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2021-03-18_final
2021-03-25 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2021-03-25_final
2021-03-28 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2021-03-28_final
2021-04-04 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2021-04-04_final
2021-04-07 10:31:20	ga_s2bm_ard_3-2-1_54LWH_2021-04-07_final
2021-04-14 10:21:25	ga_s2bm_ard_3-2-1_54LWH_2021-04-14_final
2021-04-17 10:31:18	ga_s2bm_ard_3-2-1_54LWH_2021-04-17_final
2021-04-24 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2021-04-24_final
2021-04-27 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2021-04-27_final
2021-05-04 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2021-05-04_final
2021-05-14 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2021-05-14_final
2021-05-24 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-05-24_final
2021-06-03 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-06-03_final
2021-06-13 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-06-13_final
2021-06-23 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-06-23_final
2021-07-03 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2021-07-03_final
2021-07-13 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2021-07-13_final
2021-07-23 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2021-07-23_final
2021-08-02 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2021-08-02_final
2021-08-12 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-08-12_final
2021-08-15 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2021-08-15_final
2021-08-22 10:21:28	ga_s2bm_ard_3-2-1_54LWH_2021-08-22_final
2021-08-25 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2021-08-25_final
2021-09-01 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2021-09-01_final
2021-09-04 10:31:19	ga_s2bm_ard_3-2-1_54LWH_2021-09-04_final
2021-09-11 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2021-09-11_final
2021-09-14 10:31:18	ga_s2bm_ard_3-2-1_54LWH_2021-09-14_final
2021-09-21 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2021-09-21_final
2021-10-01 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-10-01_final
2021-10-11 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-10-11_final
2021-10-21 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2021-10-21_final
2021-10-31 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-10-31_final
2021-11-10 10:21:29	ga_s2bm_ard_3-2-1_54LWH_2021-11-10_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