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
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50HLK_2017-08-30_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHR_2017-09-12_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2017-09-12_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-11-25_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-01-03_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JFM_2018-01-23_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-30_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-04-03_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLJ_2018-04-27_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMG_2018-05-14_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-05-20_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGL_2018-06-22_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-02_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-07-02_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-07-12_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-08-12_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGJ_2018-09-27_final
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final
2018-11-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2018-11-06_final.stac-item
2018-11-20 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2018-11-20_final
2018-12-06 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2018-12-06_final.stac-item
2018-12-09 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2018-12-09_final
2019-01-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-01-25_final
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final
2019-03-26 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-03-26_final
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final
2019-06-27 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-06-27_final
2019-09-22 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2019-09-22_final
2019-11-04 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-11-04_final
2019-11-08 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2019-11-08_final
2019-12-01 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-01_final
2019-12-24 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2019-12-24_final
2020-01-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-01-10_final
2020-02-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-02-29_final
2020-03-30 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-30_final
2020-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-04-09_final
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final
2020-04-29 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2020-04-29_final.stac-item
2020-05-19 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-05-19_final
2020-07-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-07-08_final
2020-07-08 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-08_final
2020-07-31 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-07-31_final
2020-08-14 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-08-14_final.stac-item
2020-08-14 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-08-14_final.stac-item
2020-08-27 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-08-27_final
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-11-05_final
2020-12-18 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-12-18_final
2020-12-29 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-12-29_final.stac-item
2021-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-01-04_final
2021-01-07 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-01-07_final
2021-01-11 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-11_final
2021-01-21 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-01-27 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-01-27_final.stac-item
2021-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-17_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-03-05_final.stac-item
2021-03-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-19_final
2021-03-29 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-03-29_final.stac-item
2021-05-14 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-05-14_final
2021-05-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-05-17_final
2021-05-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-05-27_final
2021-06-17 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-06-17_final.stac-item
2021-07-30 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-30_final
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final.stac-item
2021-08-12 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-08-12_final
2021-09-14 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2021-09-14_final.stac-item
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final.stac-item
2021-10-01 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-10-01_final
2021-10-11 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-10-11_final
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final
2022-01-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-01-22_final
2022-03-13 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2022-03-13_final.stac-item
2022-07-08 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-08_final
2022-08-04 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2022-08-04_final
2022-08-30 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2022-08-30_final
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-11-15 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-11-15_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2023-01-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-07_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-01-31 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2023-01-31_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-02-13_final.stac-item
2023-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-02-13_final.stac-item
2023-04-14 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-04-14_final.stac-item
2023-04-17 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2023-04-17_final.stac-item
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final.stac-item
2023-06-20 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-06-20_final.stac-item
2023-06-23 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-23_final.stac-item
2023-07-03 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-07-03_final.stac-item
2023-08-19 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-08-19_final.stac-item
2023-11-07 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-11-07_final.stac-item
2023-12-10 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-12-10_final.stac-item
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final.stac-item
2024-01-09 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2024-01-09_final.stac-item
2024-01-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2024-01-12_final.stac-item
2024-03-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-03-23_final.stac-item
2024-03-29 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-03-29_final.stac-item
2024-04-28 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-04-28_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