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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2017-08-13_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGN_2017-08-26_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2017-09-12_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGM_2017-10-22_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-12-11_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-01-03_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-01-23_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMG_2018-03-05_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHQ_2018-04-20_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGM_2018-05-23_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-19_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMG_2018-07-13_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGM_2018-08-18_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHN_2018-08-18_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-10-20_final
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final
2018-12-30 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2018-12-30_final.stac-item
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-01-19 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-01-19_final.stac-item
2019-04-05 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-04-05_final
2019-05-15 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-15_final
2019-06-04 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-04_final
2019-06-08 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-06-08_final
2019-06-11 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-11_final.stac-item
2019-08-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2019-08-23_final
2019-08-27 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2019-08-27_final.stac-item
2019-11-01 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-11-01_final
2019-11-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-11-04_final
2019-11-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-11-04_final
2019-11-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-11-08_final.stac-item
2019-11-24 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-11-24_final
2019-12-01 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-01_final
2019-12-01 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-01_final
2019-12-11 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2019-12-11_final
2019-12-14 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-14_final
2019-12-21 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-21_final
2019-12-24 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2019-12-24_final
2020-01-03 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-03_final
2020-02-02 12:15:03	ga_s2bm_ard_3-2-1_49JGL_2020-02-02_final
2020-02-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2020-02-12_final
2020-04-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-04-29_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-06-28_final
2020-07-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-01_final
2020-07-25 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-07-25_final
2020-08-14 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-08-14_final.stac-item
2020-10-26 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2020-10-26_final
2020-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-11-05_final
2021-01-18 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-01-18_final.stac-item
2021-02-20 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-02-20_final
2021-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-05_final
2021-03-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-18_final
2021-03-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-25_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final
2021-03-28 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-03-28_final
2021-06-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-06-23_final
2021-07-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-07-06_final
2021-09-01 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-09-01_final
2021-09-11 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-11_final.stac-item
2021-09-18 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-18_final
2021-09-21 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2021-09-21_final
2021-12-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-10_final
2021-12-13 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2022-01-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-01-02_final
2022-01-19 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-01-19_final.stac-item
2022-01-23 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-01-23_final.stac-item
2022-02-01 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-01_final
2022-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-02-05_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-04-09_final.stac-item
2022-04-22 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-04-22_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-05-19_final.stac-item
2022-06-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final
2022-07-08 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-08_final
2022-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-31_final
2022-08-17 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2022-08-17_final
2022-09-06 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-06_final.stac-item
2022-10-16 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-16_final.stac-item
2022-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-10-16_final.stac-item
2022-10-26 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-26_final.stac-item
2022-11-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-08_final.stac-item
2022-12-02 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2022-12-02_final.stac-item
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final.stac-item
2023-02-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-02-23_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final.stac-item
2023-03-15 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-03-15_final.stac-item
2023-03-28 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-03-28_final.stac-item
2023-04-17 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2023-04-17_final.stac-item
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-04-24_final.stac-item
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_final.stac-item
2023-05-04 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-05-04_final.stac-item
2023-10-28 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2023-10-28_final.stac-item
2023-10-31 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-31_final.stac-item
2024-02-08 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2024-02-08_final.stac-item
2024-03-16 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-03-16_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