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_49JHM_2017-07-14_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLG_2017-11-05_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQH_2017-11-15_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HQK_2017-12-02_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMK_2018-03-05_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HQH_2018-03-05_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HNG_2018-03-12_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-03-31_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKS_2018-05-20_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HNG_2018-05-21_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKQ_2018-06-29_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQH_2018-07-13_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKQ_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50JKR_2018-07-29_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KGQ_2018-09-07_final
2018-09-08 11:37:08	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNG_2018-09-11_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-09-20_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2018-09-27_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-10-07_final
2018-11-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-11-26_final
2018-11-27 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2018-11-27_final
2018-12-23 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2018-12-23_final.stac-item
2018-12-27 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2018-12-27_final
2019-02-15 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2019-02-15_final
2019-05-05 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-05-05_final
2019-05-28 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-28_final
2019-06-28 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-06-28_final.stac-item
2019-07-11 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-11_final.stac-item
2019-08-20 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2019-08-20_final
2019-08-26 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2019-08-26_final
2019-09-15 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-09-15_final.stac-item
2019-09-22 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2019-09-22_final
2019-10-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-12_final.stac-item
2019-10-23 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-10-23_final
2019-11-24 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-11-24_final
2019-11-28 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2019-11-28_final.stac-item
2020-04-13 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2020-04-13_final.stac-item
2020-07-21 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-07-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-22_final
2020-08-01 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-08-01_final
2020-09-23 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2020-09-23_final.stac-item
2020-10-03 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-10-03_final.stac-item
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-16_final.stac-item
2020-10-30 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-10-30_final
2020-11-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-11-05_final.stac-item
2021-01-08 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-01-08_final.stac-item
2021-01-14 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-01-14_final
2021-01-18 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-01-18_final.stac-item
2021-03-05 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2021-03-05_final
2021-04-07 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2021-04-07_final
2021-06-23 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-23_final.stac-item
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2021-07-23_final.stac-item
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-08-02_final
2021-08-05 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2021-08-05_final
2021-08-26 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-08-26_final.stac-item
2021-09-04 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2021-09-04_final
2021-09-05 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-09-05_final
2021-09-12 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2021-09-12_final.stac-item
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final.stac-item
2021-10-24 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2021-10-24_final
2021-11-14 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-11-14_final
2021-11-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-11-24_final.stac-item
2021-12-04 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-12-04_final
2021-12-23 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-12-23_final
2022-01-09 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-01-09_final.stac-item
2022-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-02-22_final
2022-03-24 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2022-03-24_final.stac-item
2022-04-13 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2022-04-13_final.stac-item
2022-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-05-02_final
2022-05-13 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-05-13_final.stac-item
2022-06-01 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2022-06-01_final
2022-07-31 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2022-07-31_final
2022-08-10 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-08-10_final.stac-item
2022-08-31 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-31_final.stac-item
2022-09-30 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-09-30_final.stac-item
2022-10-19 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2022-10-19_final.stac-item
2022-10-26 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-10-26_final.stac-item
2022-11-25 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-11-25_final.stac-item
2022-11-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-11-25_final.stac-item
2022-12-09 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2022-12-09_final.stac-item
2022-12-18 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-12-18_final.stac-item
2023-02-10 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2023-02-10_final.stac-item
2023-03-09 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-03-09_final.stac-item
2023-03-19 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-19_final.stac-item
2023-03-25 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-03-25_final.stac-item
2023-04-27 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-04-27_final.stac-item
2023-05-18 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-05-18_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 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-03_final.stac-item
2023-07-23 12:05:18	ga_s2bm_ard_3-2-1_50JKR_2023-07-23_final.stac-item
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final.stac-item
2023-09-11 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-09-11_final.stac-item
2024-01-26 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2024-01-26_final.stac-item
2024-02-01 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2024-02-01_final.stac-item
2024-04-02 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2024-04-02_final.stac-item
2024-04-02 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2024-04-02_final.stac-item
2024-04-12 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2024-04-12_final.stac-item
2024-04-21 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-04-21_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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