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
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2017-08-03_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-12-08_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGN_2018-06-02_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KHP_2018-06-02_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-06-22_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHN_2018-07-09_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLH_2018-09-14_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-14_final
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final
2019-04-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2019-04-05_final
2019-06-14 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-06-27 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final
2019-07-31 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-07-31_final
2019-08-10 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-08-10_final
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final
2019-09-06 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2019-09-06_final
2019-09-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-09-12_final.stac-item
2019-09-19 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2019-09-19_final
2020-01-30 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2020-01-30_final
2020-02-23 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-02-23_final.stac-item
2020-03-30 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-30_final
2020-04-09 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-04-09_final
2020-04-09 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2020-04-09_final
2020-04-22 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2020-04-22_final
2020-05-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-05-06_final
2020-05-29 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-05-29_final
2020-06-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-01_final
2020-06-08 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final
2020-06-21 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-06-21_final
2020-07-21 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-07-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-07-28_final
2020-07-31 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-07-31_final
2020-07-31 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-31_final
2021-03-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-12_final
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final
2021-05-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-05-24_final
2021-07-23 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-07-23_final
2021-08-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2021-08-02_final
2021-08-02 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-08-02_final
2021-09-05 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-09-05_final.stac-item
2021-11-07 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-11-07_final
2021-11-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-11-30_final.stac-item
2021-12-20 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-12-20_final.stac-item
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-04-09_final.stac-item
2022-05-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-05-16_final
2022-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2022-09-13_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2023-05-07 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-05-07_final.stac-item
2023-05-14 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-05-14_final.stac-item
2023-05-17 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-05-17_final.stac-item
2023-05-27 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-27_final.stac-item
2023-06-03 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-06-03_final.stac-item
2023-06-03 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-06-03_final.stac-item
2023-06-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-06-10_final.stac-item
2023-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-06-23_final.stac-item
2023-06-30 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-06-30_final.stac-item
2023-07-03 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-03_final.stac-item
2023-07-03 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-07-03_final.stac-item
2023-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-07-03_final.stac-item
2023-07-06 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-06_final.stac-item
2023-07-06 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-06_final.stac-item
2023-07-13 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-13_final.stac-item
2023-07-23 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2023-07-23_final.stac-item
2023-07-26 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2023-07-26_final.stac-item
2023-08-05 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-08-05_final.stac-item
2023-08-22 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-08-22_final.stac-item
2023-08-25 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-08-25_final.stac-item
2023-09-01 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-09-01_final.stac-item
2023-09-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-09-01_final.stac-item
2023-09-01 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-09-01_final.stac-item
2023-09-11 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-09-11_final.stac-item
2023-09-14 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-09-14_final.stac-item
2023-10-01 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-01_final.stac-item
2023-10-11 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-11_final.stac-item
2023-10-11 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2023-10-11_final.stac-item
2023-10-14 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-10-14_final.stac-item
2023-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_final.stac-item
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final.stac-item
2023-11-03 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-11-03_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-11-10_final.stac-item
2023-11-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2023-11-23_final.stac-item
2023-11-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final.stac-item
2023-11-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-30_final.stac-item
2024-01-12 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2024-01-12_final.stac-item
2024-01-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2024-01-12_final.stac-item
2024-01-12 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2024-01-12_final.stac-item
2024-02-01 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2024-02-01_final.stac-item
2024-02-11 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-02-11_final.stac-item
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-21_final.stac-item
2024-02-28 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-02-28_final.stac-item
2024-03-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2024-03-12_final.stac-item
2024-03-19 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2024-03-19_final.stac-item
2024-03-29 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2024-03-29_final.stac-item
2024-03-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2024-03-29_final.stac-item
2024-04-01 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2024-04-01_final.stac-item
2024-04-28 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-04-28_final.stac-item
2024-04-28 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-04-28_final.stac-item
2024-05-08 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-05-08_final.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

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