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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50HLK_2017-07-11_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHQ_2017-09-15_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGN_2017-10-02_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HQK_2017-10-06_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HQK_2017-10-13_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-13_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HLH_2017-10-19_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JFM_2017-11-04_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-11-25_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMK_2017-12-25_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMK_2017-12-28_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPJ_2018-01-14_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQK_2018-01-14_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HPK_2018-01-31_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNK_2018-02-13_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQH_2018-05-04_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-05-10_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HNG_2018-05-11_final.stac-item
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KHP_2018-05-13_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HNK_2018-05-17_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-05-20_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPK_2018-05-21_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQK_2018-05-21_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-05-23_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-05-23_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2018-06-03_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-12-03 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2018-12-03_final
2018-12-20 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2018-12-20_final
2018-12-23 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2018-12-23_final
2019-02-18 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2019-02-18_final
2019-02-28 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2019-02-28_final
2019-02-28 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-02-28_final
2019-03-10 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2019-03-10_final
2019-03-20 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-03-20_final
2019-07-07 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-07_final
2019-09-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-09-19_final
2019-11-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-11-05_final
2020-01-14 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2020-01-14_final
2020-02-20 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-02-20_final
2020-02-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-02-23_final
2020-02-26 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-02-26_final
2020-04-03 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-04-03_final
2020-04-03 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-04-03_final
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final
2020-09-07 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-09-07_final
2022-01-03 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2022-01-03_final
2022-01-09 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-01-09_final
2022-02-22 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2022-02-22_final
2022-03-14 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2022-03-14_final
2022-04-23 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-04-23_final
2022-04-26 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2022-04-26_final
2022-07-28 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-28_final.stac-item
2022-12-02 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2022-12-02_final.stac-item
2022-12-15 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-12-15_final.stac-item
2023-01-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-01-01_final.stac-item
2023-01-18 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-18_final.stac-item
2023-01-31 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-31_final.stac-item
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-02-13_final.stac-item
2023-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_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
2023-03-22 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-03-22_final.stac-item
2023-05-04 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-05-04_final.stac-item
2023-05-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-05-04_final.stac-item
2023-05-08 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-05-08_final.stac-item
2023-05-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-05-08_final.stac-item
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-05-14_final.stac-item
2023-05-14 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-05-14_final.stac-item
2023-05-17 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-05-17_final.stac-item
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-03_final.stac-item
2023-06-03 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-06-03_final.stac-item
2023-07-16 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-07-16_final.stac-item
2023-08-12 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-08-12_final.stac-item
2023-08-22 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-22_final.stac-item
2023-08-26 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-08-26_final.stac-item
2023-09-08 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-09-08_final.stac-item
2023-09-11 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-09-11_final.stac-item
2023-10-01 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-01_final.stac-item
2023-10-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2023-10-05_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2023-10-21 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-21_final.stac-item
2023-11-14 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-11-14_final.stac-item
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-20_final.stac-item
2023-11-23 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2023-11-23_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-30_final.stac-item
2023-12-10 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-12-10_final.stac-item
2023-12-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-20_final.stac-item
2023-12-30 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-12-30_final.stac-item
2024-01-02 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2024-01-02_final.stac-item
2024-01-03 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-01-03_final.stac-item
2024-01-09 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-09_final.stac-item
2024-01-13 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2024-01-13_final.stac-item
2024-01-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2024-01-23_final.stac-item
2024-01-26 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2024-01-26_final.stac-item
2024-02-01 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-01_final.stac-item
2024-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2024-02-12_final.stac-item
2024-03-29 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-03-29_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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