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
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKR_2017-09-12_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLQ_2017-09-29_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQH_2017-11-15_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HNG_2017-12-12_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-02-09_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPG_2018-02-13_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLQ_2018-02-16_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLQ_2018-02-19_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLQ_2018-03-08_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKR_2018-06-09_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JLQ_2018-08-18_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-09-20_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKR_2018-10-17_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50HQK_2018-10-28_final
2018-11-06 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2018-11-06_final
2018-11-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2018-11-06_final
2018-11-26 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2018-11-26_final
2018-11-27 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2018-11-27_final
2018-11-27 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2018-11-27_final.stac-item
2018-11-29 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2018-11-29_final
2018-12-09 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-09_final
2018-12-13 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2018-12-13_final.stac-item
2018-12-29 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-12-29_final
2019-02-27 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2019-02-27_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final
2019-05-29 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-29_final.stac-item
2019-08-26 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2019-08-26_final
2019-09-06 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2019-09-06_final
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-10-06 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-10-06_final.stac-item
2019-10-22 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2019-10-22_final
2019-10-26 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-10-26_final
2019-12-25 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2019-12-25_final
2020-02-13 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-02-13_final.stac-item
2020-03-10 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2020-03-10_final
2020-03-30 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-03-30_final
2020-04-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-04-12 12:14:00	ga_s2bm_ard_3-2-1_49KHQ_2020-04-12_final
2020-04-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-04-12_final
2020-04-13 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2020-04-13_final.stac-item
2020-05-02 12:14:01	ga_s2bm_ard_3-2-1_49KHQ_2020-05-02_final
2020-06-05 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-06-05_final
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-06-25 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2020-06-25_final.stac-item
2020-07-11 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2020-07-11_final
2020-07-18 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2020-07-18_final
2020-07-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-09-06 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-09-06_final
2020-09-07 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2020-09-07_final.stac-item
2020-10-26 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-10-26_final
2020-11-05 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-11-05_final
2020-12-22 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-12-22_final.stac-item
2020-12-29 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-12-29_final
2021-01-11 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-01-11_final
2021-02-23 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-02-23_final
2021-04-04 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2021-04-04_final
2021-04-04 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2021-04-04_final
2021-06-07 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-07_final.stac-item
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_50JKS_2021-07-03_final
2021-07-27 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-27_final
2021-08-26 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-08-26_final.stac-item
2021-09-11 12:04:19	ga_s2bm_ard_3-2-1_49KGP_2021-09-11_final
2021-10-11 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2021-10-11_final
2021-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-11-04_final.stac-item
2021-12-10 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2021-12-10_final
2021-12-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2021-12-24_final
2022-01-03 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2022-01-03_final.stac-item
2022-01-29 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2022-01-29_final
2022-02-25 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2022-02-25_final
2022-03-10 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2022-03-10_final
2022-03-13 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2022-03-13_final.stac-item
2022-04-29 12:05:01	ga_s2bm_ard_3-2-1_50JLR_2022-04-29_final
2022-05-16 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-05-16_final
2022-06-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-06-25_final
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final
2022-08-20 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-08-20_final
2022-08-24 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2022-08-24_final
2022-09-26 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2022-09-26_final.stac-item
2022-10-23 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2022-10-23_final.stac-item
2022-11-05 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-11-05_final.stac-item
2022-11-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-25_final.stac-item
2022-11-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-28_final.stac-item
2023-02-16 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2023-02-16_final.stac-item
2023-04-01 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2023-04-01_final.stac-item
2023-04-17 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-04-17_final.stac-item
2023-05-07 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final.stac-item
2023-05-11 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2023-05-11_final.stac-item
2023-05-15 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-05-15_final.stac-item
2023-05-17 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-17_final.stac-item
2023-08-22 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2023-08-22_final.stac-item
2023-10-25 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-10-25_final.stac-item
2023-10-28 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2023-10-28_final.stac-item
2023-11-20 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2023-11-20_final.stac-item
2023-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2023-11-24_final.stac-item
2024-01-13 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2024-01-13_final.stac-item
2024-01-16 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2024-01-16_final.stac-item
2024-02-25 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-02-25_final.stac-item
2024-02-28 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-02-28_final.stac-item
2024-03-16 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2024-03-16_final.stac-item
2024-04-02 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-04-02_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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