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
2017-08-03 12:03:47	ga_s2bm_ard_3-2-1_49KHQ_2017-08-03_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JKR_2017-08-03_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHP_2017-10-05_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JKR_2017-10-12_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JLR_2017-10-19_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HNG_2017-12-12_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKR_2017-12-21_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JLR_2017-12-31_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JLR_2018-01-07_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQH_2018-01-14_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-02-09_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KHP_2018-05-13_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JLR_2018-05-20_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKR_2018-08-18_final
2018-08-29 11:37:08	ga_s2bm_ard_3-2-1_50HNG_2018-08-29_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLR_2018-09-24_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2018-10-10_final.stac-item
2018-11-06 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2018-11-06_final
2018-11-26 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2018-11-26_final
2018-12-13 11:55:06	ga_s2bm_ard_3-2-1_50JLR_2018-12-13_final
2018-12-23 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2018-12-23_final.stac-item
2019-01-12 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2019-01-12_final
2019-01-15 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2019-01-15_final
2019-03-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-03-19_final
2019-03-26 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-03-26_final
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-05-08 12:14:18	ga_s2bm_ard_3-2-1_49KHQ_2019-05-08_final
2019-05-09 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-09_final.stac-item
2019-08-10 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-08-10_final.stac-item
2019-09-06 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2019-09-06_final
2019-09-22 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2019-09-22_final
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
2019-10-29 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2019-10-29_final
2019-11-18 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2019-11-18_final
2019-11-21 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2019-11-21_final
2019-12-11 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2019-12-11_final
2020-01-10 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2020-01-10_final
2020-01-21 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2020-01-21_final.stac-item
2020-01-23 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2020-01-23_final
2020-02-02 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2020-02-02_final
2020-03-07 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2020-03-07_final.stac-item
2020-05-13 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2020-05-13_final.stac-item
2020-05-19 12:05:19	ga_s2bm_ard_3-2-1_50JKR_2020-05-19_final
2020-05-29 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2020-05-29_final
2020-06-25 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-06-25_final
2020-07-05 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-07-05_final
2020-07-15 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2020-07-15_final
2020-07-18 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2020-07-18_final
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
2020-10-16 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-10-16_final
2020-11-15 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2020-11-15_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-11-22_final.stac-item
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final.stac-item
2021-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGP_2021-05-14_final
2021-07-23 12:05:10	ga_s2bm_ard_3-2-1_49JFM_2021-07-23_final
2021-08-05 12:14:47	ga_s2bm_ard_3-2-1_49JFN_2021-08-05_final
2021-09-21 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-09-21_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-11-10_final
2021-12-30 12:05:04	ga_s2bm_ard_3-2-1_49JFM_2021-12-30_final
2022-01-03 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2022-01-03_final
2022-01-09 12:05:04	ga_s2bm_ard_3-2-1_49JFM_2022-01-09_final
2022-04-06 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2022-04-06_final
2022-05-06 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2022-05-06_final
2022-06-22 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-06-22_final
2022-06-25 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2022-06-25_final
2022-06-28 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2022-06-28_final
2022-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-02_final
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final
2022-09-29 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2022-09-29_final.stac-item
2022-10-03 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2022-10-03_final.stac-item
2022-10-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-10-06_final.stac-item
2022-10-09 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-10-09_final.stac-item
2022-11-22 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2022-11-22_final.stac-item
2022-11-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-28_final.stac-item
2022-12-06 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2022-12-06_final.stac-item
2023-01-01 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2023-01-01_final.stac-item
2023-01-15 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-01-15_final.stac-item
2023-03-05 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-03-05_final.stac-item
2023-03-09 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2023-03-09_final.stac-item
2023-05-07 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_49JFM_2023-05-14_final.stac-item
2023-06-03 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-06-03_final.stac-item
2023-06-13 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2023-06-13_final.stac-item
2023-07-03 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2023-07-03_final.stac-item
2023-08-05 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-08-05_final.stac-item
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final.stac-item
2023-09-04 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-09-04_final.stac-item
2023-09-11 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2023-09-11_final.stac-item
2023-09-24 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-09-24_final.stac-item
2023-10-14 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2023-10-14_final.stac-item
2023-10-18 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-10-18_final.stac-item
2023-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_final.stac-item
2023-11-30 12:05:01	ga_s2bm_ard_3-2-1_50JLR_2023-11-30_final.stac-item
2023-11-30 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-11-30_final.stac-item
2024-05-18 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2024-05-18_final.stac-item
2024-05-25 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2024-05-25_nrt.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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