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
2017-12-29 09:43:43	ga_s2bm_ard_3-2-1_55HDA_2017-12-29_final
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55HDA_2018-01-18_final
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HDA_2018-01-28_final
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55HDA_2018-03-19_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDA_2018-04-28_final
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55HDA_2018-05-08_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_55HDA_2018-05-18_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55HDA_2018-06-17_final
2018-08-06 09:46:25	ga_s2bm_ard_3-2-1_55HDA_2018-08-06_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HDA_2018-08-16_final
2018-08-16 09:46:37	ga_s2bm_ard_3-2-1_55HDA_2018-08-16_final
2018-08-26 09:46:21	ga_s2bm_ard_3-2-1_55HDA_2018-08-26_final
2018-09-05 09:46:20	ga_s2bm_ard_3-2-1_55HDA_2018-09-05_final
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_55HDA_2018-09-15_final
2018-09-15 09:46:25	ga_s2bm_ard_3-2-1_55HDA_2018-09-15_final
2018-09-25 09:41:02	ga_s2bm_ard_3-2-1_55HDA_2018-09-25_final
2018-09-25 09:46:37	ga_s2bm_ard_3-2-1_55HDA_2018-09-25_final
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_55HDA_2018-10-05_final
2018-10-05 09:46:39	ga_s2bm_ard_3-2-1_55HDA_2018-10-05_final
2018-10-15 09:41:05	ga_s2bm_ard_3-2-1_55HDA_2018-10-15_final
2018-10-15 09:46:40	ga_s2bm_ard_3-2-1_55HDA_2018-10-15_final
2018-10-25 09:44:53	ga_s2bm_ard_3-2-1_55HDA_2018-10-25_final
2018-11-04 09:46:05	ga_s2bm_ard_3-2-1_55HDA_2018-11-04_final
2018-11-14 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2018-11-14_final
2018-11-24 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2018-11-24_final
2018-12-04 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2018-12-04_final
2018-12-14 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2018-12-14_final
2018-12-24 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2018-12-24_final
2019-01-03 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2019-01-03_final
2019-01-13 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2019-01-13_final
2019-01-23 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-01-23_final
2019-02-02 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2019-02-02_final
2019-02-02 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2019-02-02_final
2019-02-12 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-02-12_final
2019-02-22 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2019-02-22_final
2019-03-04 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2019-03-04_final
2019-03-14 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2019-03-14_final
2019-03-24 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-03-24_final
2019-04-03 09:46:52	ga_s2bm_ard_3-2-1_55HDA_2019-04-03_final
2019-04-13 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2019-04-13_final
2019-04-23 09:46:56	ga_s2bm_ard_3-2-1_55HDA_2019-04-23_final
2019-05-03 09:46:57	ga_s2bm_ard_3-2-1_55HDA_2019-05-03_final
2021-12-28 09:46:41	ga_s2bm_ard_3-2-1_55HEA_2021-12-28_final
2022-01-07 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2022-01-07_final
2022-01-17 09:46:41	ga_s2bm_ard_3-2-1_55HEA_2022-01-17_final
2022-01-27 09:46:39	ga_s2bm_ard_3-2-1_55HEA_2022-01-27_final
2022-02-06 09:46:40	ga_s2bm_ard_3-2-1_55HEA_2022-02-06_final
2022-02-16 09:46:39	ga_s2bm_ard_3-2-1_55HEA_2022-02-16_final
2022-02-26 09:46:41	ga_s2bm_ard_3-2-1_55HEA_2022-02-26_final
2022-03-08 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2022-03-08_final
2022-03-18 09:46:44	ga_s2bm_ard_3-2-1_55HEA_2022-03-18_final
2022-03-28 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2022-03-28_final
2022-04-07 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2022-04-07_final
2022-04-17 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2022-04-17_final
2022-04-27 09:46:39	ga_s2bm_ard_3-2-1_55HEA_2022-04-27_final
2022-05-07 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2022-05-07_final
2022-05-17 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2022-05-17_final
2022-05-27 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2022-05-27_final
2022-06-06 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2022-06-06_final
2022-06-16 09:46:49	ga_s2bm_ard_3-2-1_55HEA_2022-06-16_final
2022-06-26 09:46:50	ga_s2bm_ard_3-2-1_55HEA_2022-06-26_final
2022-07-06 09:46:51	ga_s2bm_ard_3-2-1_55HEA_2022-07-06_final
2022-07-16 09:46:50	ga_s2bm_ard_3-2-1_55HEA_2022-07-16_final
2022-07-26 09:46:51	ga_s2bm_ard_3-2-1_55HEA_2022-07-26_final
2022-08-05 09:46:50	ga_s2bm_ard_3-2-1_55HEA_2022-08-05_final
2022-08-15 09:46:48	ga_s2bm_ard_3-2-1_55HEA_2022-08-15_final
2022-08-25 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2022-08-25_final
2023-06-14 09:55:00	ga_s2bm_ard_3-2-1_55JDH_2023-06-14_final.stac-item
2023-08-23 09:54:24	ga_s2bm_ard_3-2-1_55JDL_2023-08-23_final.stac-item
2023-09-02 09:54:24	ga_s2bm_ard_3-2-1_55JDL_2023-09-02_final.stac-item
2023-09-12 09:54:23	ga_s2bm_ard_3-2-1_55JDL_2023-09-12_final.stac-item
2023-09-22 09:54:23	ga_s2bm_ard_3-2-1_55JDL_2023-09-22_final.stac-item
2023-10-02 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2023-10-02_final.stac-item
2023-10-12 09:54:22	ga_s2bm_ard_3-2-1_55JDL_2023-10-12_final.stac-item
2023-10-22 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2023-10-22_final.stac-item
2023-11-01 09:54:22	ga_s2bm_ard_3-2-1_55JDL_2023-11-01_final.stac-item
2023-11-11 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2023-11-11_final.stac-item
2023-11-21 09:54:16	ga_s2bm_ard_3-2-1_55JDL_2023-11-21_final.stac-item
2023-12-01 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2023-12-01_final.stac-item
2023-12-11 09:54:16	ga_s2bm_ard_3-2-1_55JDL_2023-12-11_final.stac-item
2023-12-21 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2023-12-21_final.stac-item
2023-12-31 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2023-12-31_final.stac-item
2024-01-10 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2024-01-10_final.stac-item
2024-01-20 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2024-01-20_final.stac-item
2024-01-30 09:54:17	ga_s2bm_ard_3-2-1_55JDL_2024-01-30_final.stac-item
2024-02-09 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2024-02-09_final.stac-item
2024-02-19 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2024-02-19_final.stac-item
2024-02-29 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2024-02-29_final.stac-item
2024-03-10 09:54:15	ga_s2bm_ard_3-2-1_55JDL_2024-03-10_final.stac-item
2024-03-20 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2024-03-20_final.stac-item
2024-03-30 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2024-03-30_final.stac-item
2024-04-09 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2024-04-09_final.stac-item
2024-04-19 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2024-04-19_final.stac-item
2024-04-29 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2024-04-29_final.stac-item
2024-04-29 09:54:57	ga_s2bm_ard_3-2-1_55JDH_2024-04-29_final.stac-item
2024-05-09 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2024-05-09_final.stac-item
2024-05-19 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2024-05-19_final.stac-item
2024-05-29 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2024-05-29_nrt.stac-item
2024-06-08 09:54:22	ga_s2bm_ard_3-2-1_55JDL_2024-06-08_nrt.stac-item
2024-06-08 09:54:29	ga_s2bm_ard_3-2-1_55JDK_2024-06-08_nrt.stac-item

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