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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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_49KHR_2017-08-03_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-13_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHP_2017-10-05_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHQ_2017-10-05_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGN_2017-10-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KGP_2017-10-12_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JHN_2017-10-22_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLK_2018-05-17_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49JHN_2018-05-23_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-06-12_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLK_2018-09-24_final
2018-11-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2018-11-06_final
2019-01-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2019-01-12_final
2019-02-04 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-02-04_final
2019-04-22 11:57:01	ga_s2bm_ard_3-2-1_50HLJ_2019-04-22_final
2019-05-02 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-05-02_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGR_2019-05-08_final
2019-09-02 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-09-02_final
2019-09-15 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-09-15_final
2019-09-29 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-09-29_final
2019-12-01 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-01_final
2019-12-08 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-08_final
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final
2020-02-06 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2020-02-06_final
2020-02-29 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-02-29_final
2020-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-04-09_final
2020-05-29 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-05-29_final
2020-08-07 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-08-07_final
2021-04-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-04-04_final
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final
2021-04-24 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-04-24_final
2021-05-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-05-14_final
2021-08-05 12:14:47	ga_s2bm_ard_3-2-1_49JFN_2021-08-05_final
2021-10-24 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-10-24_final
2021-10-28 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-10-28_final
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_49JFM_2021-12-20_final
2022-04-26 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-04-26_final
2022-06-11 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2022-06-11_final
2022-06-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-06-21_final
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final
2022-09-26 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-09-26_final
2022-12-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-12-02_final
2023-01-17 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2023-01-17_final
2023-03-22 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-03-22_final
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final
2023-05-04 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-05-04_final
2023-05-07 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final
2023-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-05-14_final
2023-05-14 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-05-14_final
2023-05-14 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-05-14_final
2023-05-17 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-05-17_final
2023-05-17 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-17_final
2023-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-06-13_final
2023-06-23 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2023-06-23_final
2023-06-23 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-06-23_final
2023-06-26 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-26_final
2023-06-30 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-06-30_final
2023-07-03 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-07-03_final
2023-07-06 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-07-06_final
2023-07-13 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-13_final
2023-07-13 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-07-13_final
2023-08-15 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2023-08-15_final
2023-08-16 11:47:20	ga_s2bm_ard_3-2-1_50HLH_2023-08-16_final
2023-08-22 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-08-22_final
2023-09-11 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-09-11_final
2023-09-21 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-09-21_final
2023-10-04 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-04_final
2023-10-11 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-11_final
2023-10-11 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-11_final
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final
2023-10-21 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-10-21_final
2023-11-17 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-11-17_final
2023-11-20 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2023-11-20_final
2023-11-20 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-11-20_final
2023-11-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2023-11-23_final
2023-12-20 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2023-12-20_final
2023-12-30 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2023-12-30_final
2024-01-19 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-01-19_final
2024-02-01 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-02-01_final
2024-02-08 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2024-02-08_final
2024-02-18 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-02-18_final
2024-02-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-02-18_final
2024-02-28 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2024-02-28_final
2024-03-02 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2024-03-02_final
2024-03-19 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-03-19_final
2024-03-22 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-03-22_final
2024-03-22 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-03-22_final
2024-03-22 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2024-03-22_final
2024-03-29 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-03-29_final
2024-04-08 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2024-04-08_final
2024-04-21 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2024-04-21_final
2024-04-28 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-04-28_final
2024-05-18 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2024-05-18_final
2024-05-18 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2024-05-18_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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