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
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KGP_2017-07-17_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGL_2017-08-03_final
2017-10-02 12:03:32	ga_s2bm_ard_3-2-1_49KHR_2017-10-02_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-10-25_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HPJ_2017-11-22_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPJ_2017-12-15_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-25_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPJ_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPH_2018-01-14_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNH_2018-02-13_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HQJ_2018-02-13_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-03-14_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-04-10_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-04-13_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-06-09_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-06-12_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLH_2018-06-16_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HNH_2018-07-13_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGL_2018-07-19_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPH_2018-08-19_final
2019-01-09 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2019-01-09_final
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final
2019-01-29 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-01-29_final
2019-02-05 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-02-05_final.stac-item
2019-02-15 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-02-15_final
2019-02-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-02-17_final
2019-02-18 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-02-18_final
2019-02-27 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-02-27_final
2019-02-28 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-02-28_final
2019-04-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2019-04-06_final
2019-04-18 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2019-04-18_final
2019-08-10 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-08-10_final
2019-08-17 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2019-08-17_final
2019-09-05 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2019-09-05_final
2019-09-15 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-15_final
2019-10-02 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-02_final
2019-10-25 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-10-25_final
2019-12-08 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-08_final
2019-12-15 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2019-12-15_final
2020-02-03 11:46:36	ga_s2bm_ard_3-2-1_50HQJ_2020-02-03_final
2020-02-19 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-02-19_final
2020-03-10 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-03-10_final
2020-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-10_final
2020-03-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-03-20_final
2020-03-20 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-03-20_final
2020-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-24_final
2020-04-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-04-22_final
2020-06-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-02_final
2020-06-09 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-09_final
2020-09-29 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final
2020-11-25 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-11-25_final
2020-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-11-28_final
2020-12-22 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-12-22_final
2021-01-07 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-01-07_final
2021-01-08 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-01-08_final.stac-item
2021-03-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-03-15_final
2021-03-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-03-29_final
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final.stac-item
2021-04-25 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-04-25_final.stac-item
2021-04-28 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-04-28_final
2021-05-31 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-05-31_final
2021-08-12 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2021-08-12_final
2021-11-13 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-11-13_final
2021-11-24 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-11-24_final
2021-12-10 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-12-10_final
2021-12-13 12:14:31	ga_s2bm_ard_3-2-1_49JGN_2021-12-13_final
2022-01-02 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-02_final
2022-01-06 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-01-06_final
2022-01-30 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2022-01-30_final.stac-item
2022-03-03 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-03-03_final
2022-03-11 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2022-03-11_final
2022-03-17 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2022-03-17_final
2022-04-06 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2022-04-06_final.stac-item
2022-04-29 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-04-29_final
2022-04-29 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2022-04-29_final
2022-05-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-05-09_final
2022-05-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-05-29_final
2022-09-23 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-23_final.stac-item
2022-10-03 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-10-03_final.stac-item
2022-12-05 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-12-05_final.stac-item
2022-12-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-12-25_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-02-04 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2023-02-04_final.stac-item
2023-02-17 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2023-02-17_final.stac-item
2023-03-19 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-03-19_final.stac-item
2023-04-04 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-04-04_final.stac-item
2023-04-17 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-04-17_final.stac-item
2023-07-24 11:36:58	ga_s2bm_ard_3-2-1_50HPJ_2023-07-24_final.stac-item
2023-08-06 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-08-06_final.stac-item
2023-10-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2023-10-05_final.stac-item
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final.stac-item
2023-11-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-17_final.stac-item
2023-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-20_final.stac-item
2023-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-11-21_final.stac-item
2023-11-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2023-11-24_final.stac-item
2024-01-06 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2024-01-06_final.stac-item
2024-01-09 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2024-01-09_final.stac-item
2024-01-16 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-16_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