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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHQ_2017-07-04_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50HLK_2017-07-21_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2017-08-06_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JKP_2017-10-12_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-03-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMJ_2018-05-07_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPJ_2018-05-11_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGM_2018-05-13_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPH_2018-05-21_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMH_2018-06-06_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HLH_2018-09-21_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final
2018-11-10 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2018-11-10_final
2018-12-03 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2018-12-03_final
2019-02-11 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2019-02-11_final
2019-02-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-02-17_final
2019-02-27 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2019-02-27_final
2019-03-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2019-03-09_final
2019-03-20 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final
2019-04-26 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-04-26_final
2019-05-18 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-05-18_final
2019-07-01 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-01_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-07-14_final.stac-item
2019-07-14 12:05:50	ga_s2bm_ard_3-2-1_50JKP_2019-07-14_final
2019-07-15 11:37:30	ga_s2bm_ard_3-2-1_50HPG_2019-07-15_final.stac-item
2019-09-02 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2019-09-02_final
2019-09-12 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-09-12_final
2019-11-01 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-11-01_final
2019-11-08 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-11-08_final
2019-11-11 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-11-11_final
2019-11-28 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2019-11-28_final
2019-12-01 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2019-12-01_final
2019-12-12 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2019-12-12_final
2020-01-04 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-01-04_final
2020-02-02 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-02-02_final
2020-02-10 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2020-02-10_final
2020-02-13 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2020-02-13_final
2020-03-27 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-27_final
2020-04-06 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-04-06_final.stac-item
2020-04-26 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2020-04-26_final
2020-05-02 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2020-05-02_final
2020-05-10 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2020-05-10_final.stac-item
2020-05-20 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2020-05-20_final
2020-06-11 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-06-11_final
2020-06-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-12_final
2020-07-05 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-07-05_final
2020-07-21 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-07-21_final
2020-08-14 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-08-14_final
2020-08-27 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-27_final
2020-11-15 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2020-11-15_final
2020-11-22 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2020-11-22_final
2020-11-26 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-11-26_final
2021-01-18 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-18_final
2021-01-31 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-01-31_final
2021-03-09 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-03-09_final
2021-03-25 12:04:10	ga_s2bm_ard_3-2-1_49KGQ_2021-03-25_final
2021-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-29_final
2021-04-17 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-17_final
2021-04-21 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-04-21_final
2021-04-28 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-04-28_final
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final
2021-05-28 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-05-28_final
2021-06-06 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-06_final
2021-07-10 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-10_final
2021-09-22 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-09-22_final
2021-10-18 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-18_final
2021-11-07 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-11-07_final
2021-12-20 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-12-20_final
2022-01-03 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2022-01-03_final
2022-01-23 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-01-23_final
2022-02-12 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-12_final
2022-02-15 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2022-02-15_final
2022-02-28 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-02-28_final
2022-03-17 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2022-03-17_final
2022-05-26 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2022-05-26_final
2022-05-26 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-05-26_final
2022-07-01 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-01_final
2022-08-24 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-08-24_final
2022-09-26 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2022-09-26_final.stac-item
2022-11-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-11-22_final.stac-item
2022-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-28_final.stac-item
2022-12-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-12-22_final.stac-item
2023-03-16 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-03-16_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-25_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-06-16 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-06-16_final.stac-item
2023-07-06 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-06_final.stac-item
2023-07-16 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-07-16_final.stac-item
2023-08-25 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-25_final.stac-item
2023-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-09-01_final.stac-item
2023-10-21 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-21_final.stac-item
2023-10-25 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-10-25_final.stac-item
2023-11-14 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2023-11-14_final.stac-item
2023-11-27 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2023-11-27_final.stac-item
2024-01-13 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2024-01-13_final.stac-item
2024-01-20 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-01-20_final.stac-item
2024-02-02 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-02-02_final.stac-item
2024-02-11 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2024-02-11_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