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
2019-10-24 09:25:26	ga_s2bm_ard_3-2-1_56JML_2019-10-23_final
2019-11-03 09:25:25	ga_s2bm_ard_3-2-1_56JML_2019-11-02_final
2019-11-13 09:25:24	ga_s2bm_ard_3-2-1_56JML_2019-11-12_final
2019-11-23 09:25:22	ga_s2bm_ard_3-2-1_56JML_2019-11-22_final
2019-12-03 09:25:19	ga_s2bm_ard_3-2-1_56JML_2019-12-02_final
2019-12-13 09:25:19	ga_s2bm_ard_3-2-1_56JML_2019-12-12_final
2019-12-23 09:25:20	ga_s2bm_ard_3-2-1_56JML_2019-12-22_final
2020-01-02 09:25:20	ga_s2bm_ard_3-2-1_56JML_2020-01-01_final
2020-01-12 09:25:20	ga_s2bm_ard_3-2-1_56JML_2020-01-11_final
2020-01-22 09:25:18	ga_s2bm_ard_3-2-1_56JML_2020-01-21_final
2020-02-11 09:25:20	ga_s2bm_ard_3-2-1_56JML_2020-02-10_final
2020-02-21 09:25:21	ga_s2bm_ard_3-2-1_56JML_2020-02-20_final
2020-03-02 09:25:22	ga_s2bm_ard_3-2-1_56JML_2020-03-01_final
2020-03-12 09:25:23	ga_s2bm_ard_3-2-1_56JML_2020-03-11_final
2020-03-22 09:25:23	ga_s2bm_ard_3-2-1_56JML_2020-03-21_final
2020-04-01 09:25:22	ga_s2bm_ard_3-2-1_56JML_2020-03-31_final
2020-04-11 09:25:21	ga_s2bm_ard_3-2-1_56JML_2020-04-10_final
2020-04-21 09:25:20	ga_s2bm_ard_3-2-1_56JML_2020-04-20_final
2020-05-01 09:25:21	ga_s2bm_ard_3-2-1_56JML_2020-04-30_final
2020-05-11 09:25:23	ga_s2bm_ard_3-2-1_56JML_2020-05-10_final
2020-05-21 09:25:25	ga_s2bm_ard_3-2-1_56JML_2020-05-20_final
2020-05-31 09:25:26	ga_s2bm_ard_3-2-1_56JML_2020-05-30_final
2020-06-10 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-06-09_final
2020-06-13 09:35:23	ga_s2bm_ard_3-2-1_56JML_2020-06-13_final
2020-06-20 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-06-19_final
2020-06-30 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-06-29_final
2020-07-01 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-07-01_final
2020-07-10 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-07-09_final
2020-07-11 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-07-11_final
2020-07-20 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-07-19_final
2020-07-21 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-07-21_final
2020-07-23 09:35:23	ga_s2bm_ard_3-2-1_56JML_2020-07-23_final
2020-07-30 09:25:28	ga_s2bm_ard_3-2-1_56JML_2020-07-29_final
2020-07-31 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-07-31_final
2020-08-02 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-08-02_final
2020-08-09 09:25:28	ga_s2bm_ard_3-2-1_56JML_2020-08-08_final
2020-08-10 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2020-08-10_final
2020-08-12 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-08-12_final
2020-08-19 09:25:29	ga_s2bm_ard_3-2-1_56JML_2020-08-18_final
2020-08-20 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2020-08-20_final
2020-08-22 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-08-22_final
2020-08-29 09:25:28	ga_s2bm_ard_3-2-1_56JML_2020-08-28_final
2020-08-30 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-08-30_final
2020-09-01 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-09-01_final
2020-09-08 09:25:28	ga_s2bm_ard_3-2-1_56JML_2020-09-07_final
2020-09-09 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-09-09_final
2020-09-18 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-09-17_final
2020-09-19 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-09-19_final
2020-09-28 09:25:28	ga_s2bm_ard_3-2-1_56JML_2020-09-27_final
2020-09-29 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-09-29_final
2020-10-01 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-10-01_final
2020-10-08 09:25:29	ga_s2bm_ard_3-2-1_56JML_2020-10-07_final
2020-10-09 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2020-10-09_final
2020-10-18 09:25:29	ga_s2bm_ard_3-2-1_56JML_2020-10-17_final
2020-10-19 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2020-10-19_final
2020-10-21 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-10-21_final
2020-10-28 09:25:28	ga_s2bm_ard_3-2-1_56JML_2020-10-27_final
2020-10-29 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-10-29_final
2020-11-07 09:25:27	ga_s2bm_ard_3-2-1_56JML_2020-11-06_final
2020-11-08 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-11-08_final
2020-11-10 09:35:22	ga_s2bm_ard_3-2-1_56JML_2020-11-10_final
2020-11-18 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2020-11-18_final
2020-11-27 09:25:25	ga_s2bm_ard_3-2-1_56JML_2020-11-26_final
2020-11-28 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2020-11-28_final
2020-12-07 09:25:23	ga_s2bm_ard_3-2-1_56JML_2020-12-06_final
2020-12-08 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-12-08_final
2020-12-17 09:25:21	ga_s2bm_ard_3-2-1_56JML_2020-12-16_final
2020-12-18 10:35:46	ga_s2bm_ard_3-2-1_53JNF_2020-12-18_final
2020-12-18 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2020-12-18_final
2020-12-20 09:35:17	ga_s2bm_ard_3-2-1_56JML_2020-12-20_final
2020-12-27 09:25:22	ga_s2bm_ard_3-2-1_56JML_2020-12-26_final
2020-12-28 10:35:48	ga_s2bm_ard_3-2-1_53JNF_2020-12-28_final
2020-12-28 10:35:54	ga_s2bm_ard_3-2-1_53HNE_2020-12-28_final
2020-12-28 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-12-28_final
2021-01-06 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-01-05_final
2021-01-07 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2021-01-07_final
2021-01-16 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-01-15_final
2021-01-17 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2021-01-17_final
2021-01-19 09:35:21	ga_s2bm_ard_3-2-1_56JML_2021-01-19_final
2021-01-26 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-01-25_final
2021-01-27 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2021-01-27_final
2021-02-05 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-02-04_final
2021-02-06 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2021-02-06_final
2021-02-08 09:35:20	ga_s2bm_ard_3-2-1_56JML_2021-02-08_final
2021-02-15 09:25:23	ga_s2bm_ard_3-2-1_56JML_2021-02-14_final
2021-02-16 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2021-02-16_final
2021-02-18 09:35:19	ga_s2bm_ard_3-2-1_56JML_2021-02-18_final
2021-02-25 09:25:23	ga_s2bm_ard_3-2-1_56JML_2021-02-24_final
2021-02-26 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2021-02-26_final
2021-02-28 09:35:20	ga_s2bm_ard_3-2-1_56JML_2021-02-28_final
2021-03-07 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-03-06_final
2021-03-10 09:35:20	ga_s2bm_ard_3-2-1_56JML_2021-03-10_final
2021-03-17 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-03-16_final
2021-03-20 09:35:20	ga_s2bm_ard_3-2-1_56JML_2021-03-20_final
2021-03-27 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-03-26_final
2021-03-30 09:35:19	ga_s2bm_ard_3-2-1_56JML_2021-03-30_final
2021-04-06 09:25:23	ga_s2bm_ard_3-2-1_56JML_2021-04-05_final
2021-04-09 09:35:18	ga_s2bm_ard_3-2-1_56JML_2021-04-09_final
2021-04-16 09:25:21	ga_s2bm_ard_3-2-1_56JML_2021-04-15_final
2021-04-19 09:35:16	ga_s2bm_ard_3-2-1_56JML_2021-04-19_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