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
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_49KHR_2017-08-16_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGP_2017-08-26_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50HLK_2017-08-30_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLK_2017-09-09_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHR_2017-09-15_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGJ_2017-10-12_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGL_2017-11-01_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-01-23_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-30_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGN_2018-03-24_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLH_2018-06-06_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-06-09_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMG_2018-10-11_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-10-27_final
2018-11-29 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2018-11-29_final
2018-11-29 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2018-11-29_final
2018-11-30 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-30_final
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-01-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-01-08_final
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-01-22 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-01-22_final
2019-02-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2019-02-27_final
2019-03-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-03-09_final
2019-03-19 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-03-19_final
2019-07-14 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-07-14_final
2019-10-02 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-02_final
2019-10-15 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2019-10-15_final
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final
2019-12-18 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-18_final
2019-12-31 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-31_final
2020-02-02 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-02-02_final
2020-02-09 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-02-09_final
2020-02-26 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2020-02-26_final
2020-03-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2020-03-03_final
2020-05-19 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-05-19_final
2020-05-22 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-05-22_final
2020-06-25 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-06-25_final
2020-06-28 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-06-28_final
2020-08-27 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-08-27_final
2020-08-30 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-08-30_final
2020-08-30 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-08-30_final
2020-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-09-19_final
2020-09-26 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-09-26_final
2020-10-09 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-09_final
2020-10-23 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-23_final
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-12-25_final.stac-item
2021-01-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-01-18_final.stac-item
2021-01-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-27_final
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-02-13_final.stac-item
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final
2021-02-16 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-16_final
2021-02-20 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-02-20_final
2021-02-23 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-23_final
2021-02-26 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-03-05_final.stac-item
2021-03-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-18_final
2021-04-04 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-04-17 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-07-03 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-07-03_final
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-08-25 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-08-25_final
2021-09-14 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2021-09-14_final
2021-10-14 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-10-14_final
2021-10-31 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-10-31_final
2021-11-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2021-11-20_final
2021-12-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-12-10_final
2022-02-01 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-01_final
2022-02-08 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-02-08_final
2022-03-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-03-17_final
2022-04-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-02_final
2022-05-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-05-29_final
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-06-18_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
2022-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2022-08-10_final
2022-09-30 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-09-30_final.stac-item
2022-10-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-26_final.stac-item
2022-11-05 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-11-05_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-12-15_final.stac-item
2022-12-15 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-12-15_final.stac-item
2023-01-21 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-21_final.stac-item
2023-01-31 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-01-31_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-02-03 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-02-03_final.stac-item
2023-02-16 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2023-02-16_final.stac-item
2023-02-20 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-02-20_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-25_final.stac-item
2023-05-11 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-05-11_final.stac-item
2023-05-17 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-17_final.stac-item
2023-06-06 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-06_final.stac-item
2023-08-05 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-05_final.stac-item
2023-08-05 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-08-05_final.stac-item
2023-10-11 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-11_final.stac-item
2023-11-03 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-11-03_final.stac-item
2023-11-03 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-11-03_final.stac-item
2023-11-17 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-11-17_final.stac-item
2023-11-17 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-11-17_final.stac-item
2024-01-23 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-01-23_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