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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JHN_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHP_2017-07-24_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGP_2017-09-15_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_49KHR_2017-10-05_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_49KHQ_2017-10-12_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HMH_2017-10-19_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HMJ_2017-10-19_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-18_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-11-25_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMG_2018-01-07_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-01-20_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMK_2018-01-24_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLK_2018-02-26_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-05-03_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HLG_2018-05-24_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-06-12_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KGQ_2018-07-09_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-07-29_final
2018-12-13 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2018-12-13_final
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final
2019-05-25 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-25_final
2019-06-17 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final
2019-06-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-24_final
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final
2019-08-03 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2019-08-03_final
2019-08-03 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-08-03_final
2019-09-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-09-12_final
2019-09-12 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-09-12_final
2019-11-25 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2019-11-25_final
2020-01-24 11:46:34	ga_s2bm_ard_3-2-1_50HMK_2020-01-24_final
2020-02-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2020-02-16_final
2020-04-06 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2020-04-06_final
2020-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-12_final
2020-12-22 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-22_final
2021-02-23 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-02-23_final
2021-11-07 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-11-07_final
2021-11-24 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-11-24_final
2022-01-23 11:46:57	ga_s2bm_ard_3-2-1_50HMH_2022-01-23_final
2022-02-08 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2022-02-08_final.stac-item
2022-04-13 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-13_final
2022-10-03 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-10-03_final.stac-item
2022-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-10-23_final.stac-item
2022-12-12 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-12-12_final.stac-item
2023-01-28 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-28_final.stac-item
2023-03-12 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-03-12_final.stac-item
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_49JFM_2023-05-14_final.stac-item
2023-05-17 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-05-17_final.stac-item
2023-05-17 12:14:03	ga_s2bm_ard_3-2-1_49KGR_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
2023-06-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-10_final.stac-item
2023-06-16 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-16_final.stac-item
2023-06-23 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2023-06-23_final.stac-item
2023-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-26_final.stac-item
2023-07-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-16_final.stac-item
2023-07-23 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2023-07-23_final.stac-item
2023-07-26 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-26_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 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-08-22_final.stac-item
2023-08-25 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-08-25_final.stac-item
2023-08-25 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-08-25_final.stac-item
2023-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-09-01_final.stac-item
2023-09-04 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-09-04_final.stac-item
2023-09-11 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-11_final.stac-item
2023-09-24 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-09-24_final.stac-item
2023-09-28 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-09-28_final.stac-item
2023-10-01 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-01_final.stac-item
2023-10-04 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2023-10-04_final.stac-item
2023-10-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2023-10-04_final.stac-item
2023-10-14 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-10-14_final.stac-item
2023-10-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-10-14_final.stac-item
2023-10-21 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-21_final.stac-item
2023-10-31 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-10-31_final.stac-item
2023-12-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-12-03_final.stac-item
2023-12-07 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-12-07_final.stac-item
2023-12-10 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2023-12-10_final.stac-item
2023-12-30 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2023-12-30_final.stac-item
2024-01-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-01-19_final.stac-item
2024-01-29 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2024-01-29_final.stac-item
2024-02-01 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2024-02-01_final.stac-item
2024-02-01 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-02-01_final.stac-item
2024-02-18 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-02-18_final.stac-item
2024-02-28 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2024-02-28_final.stac-item
2024-02-28 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-02-28_final.stac-item
2024-03-06 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2024-03-06_final.stac-item
2024-03-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2024-03-09_final.stac-item
2024-04-08 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2024-04-08_final.stac-item
2024-04-21 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-04-21_final.stac-item
2024-04-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-28_final.stac-item
2024-04-28 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-04-28_final.stac-item
2024-05-08 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2024-05-08_final.stac-item
2024-05-11 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-05-11_final.stac-item
2024-05-15 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-05-15_final.stac-item
2024-05-15 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-05-15_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

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