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
2017-09-22 10:18:42	ga_s2bm_ard_3-2-1_54LWJ_2017-09-22_final
2017-10-02 10:16:50	ga_s2bm_ard_3-2-1_54LWJ_2017-10-02_final
2017-10-15 10:26:54	ga_s2bm_ard_3-2-1_54LWJ_2017-10-15_final
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54LWJ_2017-10-22_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54LWJ_2017-11-01_final
2017-11-04 10:26:54	ga_s2bm_ard_3-2-1_54LWJ_2017-11-04_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_54LWJ_2017-11-14_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54LWJ_2017-11-21_final
2017-11-24 10:26:56	ga_s2bm_ard_3-2-1_54LWJ_2017-11-24_final
2017-12-01 10:16:54	ga_s2bm_ard_3-2-1_54LWJ_2017-12-01_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_54LWJ_2017-12-11_final
2017-12-14 10:26:56	ga_s2bm_ard_3-2-1_54LWJ_2017-12-14_final
2017-12-21 10:16:53	ga_s2bm_ard_3-2-1_54LWJ_2017-12-21_final
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_54LWJ_2017-12-31_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_54LWJ_2018-01-20_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54LWJ_2018-02-09_final
2018-02-12 10:27:01	ga_s2bm_ard_3-2-1_54LWJ_2018-02-12_final
2018-02-19 10:16:58	ga_s2bm_ard_3-2-1_54LWJ_2018-02-19_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54LWJ_2018-03-04_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LWJ_2018-03-11_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54LWJ_2018-03-21_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54LWJ_2018-03-31_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54LWJ_2018-04-10_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_54LWJ_2018-05-03_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_54LWJ_2018-05-13_final
2018-05-23 10:27:05	ga_s2bm_ard_3-2-1_54LWJ_2018-05-23_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54LWJ_2018-05-30_final
2018-06-02 10:27:04	ga_s2bm_ard_3-2-1_54LWJ_2018-06-02_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54LWJ_2018-06-09_final
2018-06-12 10:27:06	ga_s2bm_ard_3-2-1_54LWJ_2018-06-12_final
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54LWJ_2018-06-19_final
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_54LWJ_2018-06-22_final
2018-06-29 10:17:05	ga_s2bm_ard_3-2-1_54LWJ_2018-06-29_final
2018-07-02 10:27:07	ga_s2bm_ard_3-2-1_54LWJ_2018-07-02_final
2018-07-09 10:17:04	ga_s2bm_ard_3-2-1_54LWJ_2018-07-09_final
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_54LWJ_2018-07-12_final
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LWJ_2018-07-19_final
2018-07-22 10:27:05	ga_s2bm_ard_3-2-1_54LWJ_2018-07-22_final
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LWJ_2018-07-29_final
2018-08-01 10:27:04	ga_s2bm_ard_3-2-1_54LWJ_2018-08-01_final
2018-08-08 10:17:01	ga_s2bm_ard_3-2-1_54LWJ_2018-08-08_final
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54LWJ_2018-08-11_final
2018-08-18 10:16:59	ga_s2bm_ard_3-2-1_54LWJ_2018-08-18_final
2018-08-21 10:27:00	ga_s2bm_ard_3-2-1_54LWJ_2018-08-21_final
2018-08-28 10:16:57	ga_s2bm_ard_3-2-1_54LWJ_2018-08-28_final
2018-08-31 10:26:58	ga_s2bm_ard_3-2-1_54LWJ_2018-08-31_final
2018-09-07 10:16:57	ga_s2bm_ard_3-2-1_54LWJ_2018-09-07_final
2018-09-10 10:29:30	ga_s2bm_ard_3-2-1_54LWJ_2018-09-10_final
2018-09-17 10:16:57	ga_s2bm_ard_3-2-1_54LWJ_2018-09-17_final
2018-09-20 10:27:00	ga_s2bm_ard_3-2-1_54LWJ_2018-09-20_final
2018-09-27 10:17:00	ga_s2bm_ard_3-2-1_54LWJ_2018-09-27_final
2018-10-07 10:17:01	ga_s2bm_ard_3-2-1_54LWJ_2018-10-07_final
2021-07-16 10:31:11	ga_s2bm_ard_3-2-1_54LWJ_2021-07-16_final
2021-07-23 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2021-07-23_final
2021-07-26 10:31:11	ga_s2bm_ard_3-2-1_54LWJ_2021-07-26_final
2021-08-02 10:21:16	ga_s2bm_ard_3-2-1_54LWJ_2021-08-02_final
2021-08-05 10:31:11	ga_s2bm_ard_3-2-1_54LWJ_2021-08-05_final
2021-08-12 10:21:15	ga_s2bm_ard_3-2-1_54LWJ_2021-08-12_final
2021-08-15 10:31:10	ga_s2bm_ard_3-2-1_54LWJ_2021-08-15_final
2021-08-22 10:21:14	ga_s2bm_ard_3-2-1_54LWJ_2021-08-22_final
2021-08-25 10:31:08	ga_s2bm_ard_3-2-1_54LWJ_2021-08-25_final
2021-09-01 10:21:12	ga_s2bm_ard_3-2-1_54LWJ_2021-09-01_final
2021-09-04 10:31:06	ga_s2bm_ard_3-2-1_54LWJ_2021-09-04_final
2021-09-11 10:21:11	ga_s2bm_ard_3-2-1_54LWJ_2021-09-11_final
2021-09-14 10:31:06	ga_s2bm_ard_3-2-1_54LWJ_2021-09-14_final
2021-09-21 10:21:12	ga_s2bm_ard_3-2-1_54LWJ_2021-09-21_final
2021-09-24 10:31:07	ga_s2bm_ard_3-2-1_54LWJ_2021-09-24_final
2021-10-01 10:21:14	ga_s2bm_ard_3-2-1_54LWJ_2021-10-01_final
2021-10-04 10:31:09	ga_s2bm_ard_3-2-1_54LWJ_2021-10-04_final
2021-10-11 10:21:16	ga_s2bm_ard_3-2-1_54LWJ_2021-10-11_final
2021-10-14 10:31:11	ga_s2bm_ard_3-2-1_54LWJ_2021-10-14_final
2021-10-21 10:21:16	ga_s2bm_ard_3-2-1_54LWJ_2021-10-21_final
2021-10-24 10:31:11	ga_s2bm_ard_3-2-1_54LWJ_2021-10-24_final
2021-10-31 10:21:16	ga_s2bm_ard_3-2-1_54LWJ_2021-10-31_final
2021-11-03 10:31:10	ga_s2bm_ard_3-2-1_54LWJ_2021-11-03_final
2021-11-10 10:21:15	ga_s2bm_ard_3-2-1_54LWJ_2021-11-10_final
2021-11-13 10:31:09	ga_s2bm_ard_3-2-1_54LWJ_2021-11-13_final
2021-11-20 10:21:12	ga_s2bm_ard_3-2-1_54LWJ_2021-11-20_final
2021-11-23 10:31:06	ga_s2bm_ard_3-2-1_54LWJ_2021-11-23_final
2021-11-30 10:21:10	ga_s2bm_ard_3-2-1_54LWJ_2021-11-30_final
2021-12-03 10:31:05	ga_s2bm_ard_3-2-1_54LWJ_2021-12-03_final
2021-12-10 10:21:09	ga_s2bm_ard_3-2-1_54LWJ_2021-12-10_final
2021-12-13 10:31:04	ga_s2bm_ard_3-2-1_54LWJ_2021-12-13_final
2021-12-20 10:21:09	ga_s2bm_ard_3-2-1_54LWJ_2021-12-20_final
2021-12-23 10:31:04	ga_s2bm_ard_3-2-1_54LWJ_2021-12-23_final
2021-12-30 10:21:11	ga_s2bm_ard_3-2-1_54LWJ_2021-12-30_final
2022-01-02 10:31:05	ga_s2bm_ard_3-2-1_54LWJ_2022-01-02_final
2022-01-09 10:21:11	ga_s2bm_ard_3-2-1_54LWJ_2022-01-09_final
2022-01-12 10:31:05	ga_s2bm_ard_3-2-1_54LWJ_2022-01-12_final
2022-01-22 10:31:04	ga_s2bm_ard_3-2-1_54LWJ_2022-01-22_final
2022-01-29 10:21:09	ga_s2bm_ard_3-2-1_54LWJ_2022-01-29_final
2022-02-01 10:31:04	ga_s2bm_ard_3-2-1_54LWJ_2022-02-01_final
2022-02-08 10:21:09	ga_s2bm_ard_3-2-1_54LWJ_2022-02-08_final
2022-02-11 10:31:04	ga_s2bm_ard_3-2-1_54LWJ_2022-02-11_final
2022-02-18 10:21:08	ga_s2bm_ard_3-2-1_54LWJ_2022-02-18_final
2022-02-21 10:31:04	ga_s2bm_ard_3-2-1_54LWJ_2022-02-21_final
2022-02-28 10:21:11	ga_s2bm_ard_3-2-1_54LWJ_2022-02-28_final
2022-03-03 10:31:06	ga_s2bm_ard_3-2-1_54LWJ_2022-03-03_final
2022-03-10 10:21:13	ga_s2bm_ard_3-2-1_54LWJ_2022-03-10_final
2022-03-13 10:31:08	ga_s2bm_ard_3-2-1_54LWJ_2022-03-13_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