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 12:13:21	ga_s2bm_ard_3-2-1_49KGR_2017-07-17_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGL_2017-07-17_final
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-27_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JHM_2017-10-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHP_2017-10-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHQ_2017-10-12_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMK_2018-03-05_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMJ_2018-03-18_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2018-03-21_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-05-03_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGP_2018-05-23_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHQ_2018-07-09_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-07-29_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMJ_2018-11-03_final
2019-02-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2019-02-21_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-05-28 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-05-28_final
2019-08-07 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-08-07_final
2019-09-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-09-12_final
2019-09-19 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2019-09-19_final
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-10-26 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-26_final
2019-11-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-11-28_final
2019-12-05 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2019-12-05_final
2019-12-15 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2019-12-15_final
2019-12-31 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-31_final
2020-01-04 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-01-04_final
2020-01-14 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-01-14_final.stac-item
2020-02-12 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-02-12_final
2020-03-04 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-03-04_final
2020-04-06 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-04-06_final.stac-item
2020-04-09 12:05:19	ga_s2bm_ard_3-2-1_49JGK_2020-04-09_final
2020-05-09 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-05-09_final
2020-05-22 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-05-22_final
2020-06-08 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final
2020-07-18 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-07-18_final
2020-07-28 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-07-28_final
2020-08-04 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-08-04_final
2020-08-14 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-08-14_final
2020-08-21 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-21_final.stac-item
2020-11-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final
2020-12-22 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-22_final
2020-12-29 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-29_final
2021-01-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-01-18_final
2021-03-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-03-29_final
2021-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-29_final
2021-05-24 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-24_final
2021-07-26 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-26_final.stac-item
2021-08-02 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-08-02_final
2021-11-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-11-27_final
2022-02-11 12:14:39	ga_s2bm_ard_3-2-1_49JFN_2022-02-11_final
2022-03-24 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2022-03-24_final
2022-04-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-04-19_final
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-08_final.stac-item
2022-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-10-16_final.stac-item
2022-11-29 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-11-29_final.stac-item
2022-12-05 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-12-05_final.stac-item
2022-12-12 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-12-12_final.stac-item
2022-12-15 12:05:13	ga_s2bm_ard_3-2-1_49JGL_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
2023-01-28 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-28_final.stac-item
2023-01-31 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-01-31_final.stac-item
2023-02-17 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-02-17_final.stac-item
2023-03-22 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-03-22_final.stac-item
2023-05-04 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-04_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final.stac-item
2023-05-07 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-05-07_final.stac-item
2023-05-18 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-18_final.stac-item
2023-05-24 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-05-24_final.stac-item
2023-06-03 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-06-03_final.stac-item
2023-06-03 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-06-03_final.stac-item
2023-06-13 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-06-13_final.stac-item
2023-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-26_final.stac-item
2023-07-03 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-03_final.stac-item
2023-08-05 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-05_final.stac-item
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final.stac-item
2023-09-01 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-09-01_final.stac-item
2023-09-21 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-09-21_final.stac-item
2023-10-14 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-10-14_final.stac-item
2023-10-21 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-21_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-10 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2023-11-10_final.stac-item
2023-11-13 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2023-11-13_final.stac-item
2023-11-30 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-11-30_final.stac-item
2023-12-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-12-03_final.stac-item
2023-12-10 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-12-10_final.stac-item
2023-12-20 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2023-12-20_final.stac-item
2024-01-19 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-19_final.stac-item
2024-01-26 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2024-01-26_final.stac-item
2024-02-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-11_final.stac-item
2024-02-18 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2024-02-18_final.stac-item
2024-02-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-02-18_final.stac-item
2024-03-06 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2024-03-06_final.stac-item
2024-03-12 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2024-03-12_final.stac-item
2024-04-18 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2024-04-18_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

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