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
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-11-04_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-11-21_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-30_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-01_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-03-31_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-04-03_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HLH_2018-06-23_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHS_2018-08-18_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHS_2018-09-07_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-09-10_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGN_2018-09-30_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-09-30_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-10-10_final
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final
2019-01-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-01-25_final
2019-02-04 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2019-02-04_final
2019-02-27 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2019-02-27_final
2019-03-19 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-03-19_final
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final
2019-06-21 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-21_final
2019-08-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-08-23_final
2019-08-26 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2019-08-26_final
2019-08-26 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2019-08-26_final
2019-09-05 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2019-09-05_final
2019-11-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-11-08_final.stac-item
2019-11-11 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-11-11_final
2019-11-14 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-11-14_final
2019-11-28 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2019-11-28_final
2019-12-21 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-21_final
2019-12-24 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-24_final
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final
2019-12-31 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2019-12-31_final
2020-02-09 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-02-09_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-03-20 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-20_final
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-20_final
2020-04-26 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-04-26_final.stac-item
2020-05-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-05-02_final
2020-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-05-23_final
2020-06-05 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-06-05_final
2020-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-06-08_final
2020-08-01 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-08-01_final.stac-item
2020-08-20 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-20_final
2020-08-21 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-08-21_final
2020-08-30 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2020-08-30_final
2020-09-23 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2020-09-23_final
2020-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-09-29_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-10-06_final
2020-10-26 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-26_final
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final
2020-11-25 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-25_final
2020-11-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2020-11-28_final
2020-12-12 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2020-12-12_final
2020-12-12 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-12-12_final.stac-item
2020-12-29 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-12-29_final.stac-item
2021-01-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-01-24_final
2021-02-13 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-02-13_final
2021-03-15 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-03-15_final
2021-03-28 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-03-28_final
2021-04-14 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHM_2021-04-14_final
2021-04-27 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-04-27_final
2021-04-27 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2021-04-27_final
2021-05-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-05-18_final.stac-item
2021-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-03_final
2021-07-06 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2021-07-06_final
2021-08-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-08-22_final
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final
2021-09-14 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2021-09-14_final
2021-10-24 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-10-24_final
2021-11-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-11-30_final
2021-12-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-12-07_final
2021-12-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-12-10_final
2021-12-20 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2021-12-20_final
2021-12-20 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-20_final
2021-12-30 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-12-30_final
2022-01-12 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-12_final
2022-01-19 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2022-01-19_final
2022-01-29 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-01-29_final
2022-02-08 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2022-02-08_final
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final
2022-02-21 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2022-02-21_final
2022-03-10 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-03-10_final
2022-06-15 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2022-06-15_final
2022-06-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-06-15_final
2022-06-28 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-06-28_final
2022-07-01 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-01_final
2022-07-18 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final
2022-08-30 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2022-08-30_final
2022-10-19 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-11-05_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-08_final.stac-item
2022-11-22 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2022-11-22_final.stac-item
2022-12-18 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-12-18_final.stac-item
2023-01-24 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-24_final.stac-item
2023-01-27 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2023-01-27_final.stac-item
2023-03-19 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-03-19_final.stac-item
2023-03-25 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-03-25_final.stac-item
2023-07-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-20_final.stac-item
2024-02-15 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2024-02-15_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