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
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPJ_2017-12-12_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-14_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKN_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KGP_2018-01-10_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMJ_2018-01-24_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNK_2018-05-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQJ_2018-05-04_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-07-12_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HPJ_2018-07-13_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HPJ_2018-07-20_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHR_2018-09-07_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JHM_2018-10-17_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HMK_2018-10-24_final
2019-02-05 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2019-02-05_final
2019-02-14 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-02-14_final
2019-04-09 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2019-04-09_final
2019-04-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2019-04-09_final
2019-04-12 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2019-04-12_final
2019-05-12 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-05-12_final
2019-06-04 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-06-04_final
2019-07-08 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-07-08_final
2019-07-11 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-11_final
2019-07-17 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-07-17_final
2019-07-24 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-07-24_final
2019-10-15 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-10-15_final
2019-11-25 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2019-11-25_final
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final
2020-01-27 11:55:52	ga_s2bm_ard_3-2-1_50JKN_2020-01-27_final
2020-02-03 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2020-02-03_final
2020-02-13 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-02-13_final
2020-02-23 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-02-23_final
2020-03-04 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2020-03-04_final.stac-item
2020-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-03-10_final
2020-04-03 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-04-03_final
2020-04-12 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2020-04-12_final
2020-05-19 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-05-19_final
2020-05-30 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-05-30_final.stac-item
2020-06-21 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-06-21_final
2020-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-08-14_final
2020-08-28 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-08-28_final.stac-item
2020-09-13 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-09-13_final
2020-10-26 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-26_final
2020-11-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-11-05_final
2020-11-22 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2020-11-22_final
2020-12-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2020-12-02_final
2020-12-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-12-18_final
2021-01-08 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-01-08_final
2021-01-11 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-11_final
2021-03-09 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-03-09_final
2021-03-09 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-03-09_final
2021-03-15 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2021-03-15_final
2021-03-22 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-03-22_final
2021-05-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-05-25_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-05-31 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-05-31_final
2021-09-01 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2021-09-01_final
2021-09-18 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-09-18_final
2021-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-09-28_final
2021-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-10-24_final
2021-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-11-21_final
2021-12-10 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-12-10_final
2021-12-27 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2021-12-27_final
2022-02-25 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-02-25_final
2022-03-11 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-03-11_final
2022-03-13 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-03-13_final
2022-03-14 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2022-03-14_final
2022-04-16 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-04-16_final
2022-04-23 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-04-23_final.stac-item
2022-05-02 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-05-02_final
2022-06-01 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-06-01_final
2022-07-21 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-21_final
2022-09-09 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2022-09-09_final.stac-item
2022-09-10 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2022-09-10_final.stac-item
2022-10-19 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-10-19_final.stac-item
2022-12-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-12-29_final.stac-item
2023-01-05 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-05_final.stac-item
2023-03-25 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-03-25_final.stac-item
2023-04-25 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-04-25_final.stac-item
2023-05-21 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-05-21_final.stac-item
2023-06-20 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-06-20_final.stac-item
2023-06-30 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-30_final.stac-item
2023-07-14 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-07-14_final.stac-item
2023-07-23 12:05:03	ga_s2bm_ard_3-2-1_50JKS_2023-07-23_final.stac-item
2023-08-29 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-29_final.stac-item
2023-09-08 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-09-08_final.stac-item
2023-09-11 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2023-09-11_final.stac-item
2023-09-28 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-09-28_final.stac-item
2023-10-05 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2023-10-05_final.stac-item
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final.stac-item
2023-10-25 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-10-25_final.stac-item
2024-01-06 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-01-06_final.stac-item
2024-01-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2024-01-23_final.stac-item
2024-01-29 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2024-01-29_final.stac-item
2024-02-08 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2024-02-08_final.stac-item
2024-02-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-02-18_final.stac-item
2024-04-12 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-04-12_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

All years