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_49JGN_2017-07-14_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHM_2017-07-14_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JHM_2017-07-24_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHM_2017-08-03_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHQ_2017-09-12_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2017-09-12_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGN_2017-10-02_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHQ_2017-10-05_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HNG_2017-10-13_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-11-04_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLG_2017-11-05_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2017-11-08_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQH_2018-01-14_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHP_2018-02-02_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHP_2018-03-04_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNG_2018-04-24_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-05-03_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HLH_2018-06-23_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-07-02_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-07-12_final
2018-08-21 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-08-21_final.stac-item
2018-11-07 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2018-11-07_final
2018-12-09 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2018-12-09_final
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final
2018-12-27 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2018-12-27_final
2019-01-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-01-08_final
2019-01-16 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2019-01-16_final
2019-02-01 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-02-01_final.stac-item
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-02-07_final.stac-item
2019-02-15 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2019-02-15_final
2019-02-27 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-02-27_final
2019-03-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-03-19_final
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-04-09 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2019-04-09_final.stac-item
2019-04-12 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2019-04-12_final.stac-item
2019-05-08 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-05-08_final
2019-05-08 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-08_final
2019-05-18 12:14:19	ga_s2bm_ard_3-2-1_49KHQ_2019-05-18_final
2019-05-28 12:14:19	ga_s2bm_ard_3-2-1_49KHQ_2019-05-28_final
2019-05-29 11:46:56	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-05-29 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-29_final.stac-item
2019-06-18 11:47:35	ga_s2bm_ard_3-2-1_50HLG_2019-06-18_final.stac-item
2019-07-17 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-17_final
2019-09-23 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2019-09-23_final
2019-10-23 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-10-23_final
2019-11-12 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2019-11-12_final
2019-12-05 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2019-12-05_final.stac-item
2020-01-03 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-01-03_final
2020-01-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-01-07_final.stac-item
2020-02-02 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2020-02-02_final
2020-02-06 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2020-02-06_final.stac-item
2020-03-04 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-03-04_final.stac-item
2020-05-13 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2020-05-13_final.stac-item
2020-05-22 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2020-05-22_final
2020-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2020-05-23_final.stac-item
2020-07-12 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-07-12_final.stac-item
2020-07-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-21_final
2020-07-22 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-22_final.stac-item
2020-08-21 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-08-21_final.stac-item
2020-08-28 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-08-28_final.stac-item
2020-08-31 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-08-31_final.stac-item
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final
2020-09-07 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2020-09-07_final.stac-item
2020-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-09-19_final
2020-09-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-09-29_final
2020-10-13 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-13_final.stac-item
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-10-16_final
2020-10-17 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2020-10-17_final.stac-item
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final
2020-12-19 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2020-12-19_final
2021-03-12 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-03-12_final.stac-item
2021-05-28 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-05-28_final.stac-item
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final.stac-item
2021-08-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-08-06_final
2021-08-26 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-08-26_final.stac-item
2021-10-14 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final.stac-item
2021-12-03 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2021-12-03_final
2021-12-13 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2021-12-13_final
2022-01-02 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-01-02_final
2022-01-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-01-12_final
2022-02-01 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2022-02-01_final
2022-03-03 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2022-03-03_final
2022-03-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-03-13_final
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final
2022-08-11 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2022-08-11_final.stac-item
2022-09-29 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2022-09-29_final.stac-item
2022-10-09 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-10-09_final.stac-item
2022-10-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-10-10_final.stac-item
2022-11-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-28_final.stac-item
2023-01-21 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2023-01-21_final.stac-item
2023-04-17 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-04-17_final.stac-item
2023-05-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-05-05_final.stac-item
2023-05-07 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final.stac-item
2023-05-07 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final.stac-item
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-05-21_final.stac-item
2023-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-07-17_final.stac-item
2023-08-05 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-08-05_final.stac-item
2023-09-24 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-09-24_final.stac-item
2023-09-25 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-09-25_final.stac-item
2023-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_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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