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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JFM_2017-07-14_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-11-21_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-11-24_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-11-25_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHR_2018-01-10_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-01-13_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-01_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-03-14_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHM_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHR_2018-04-03_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGP_2018-04-20_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLG_2018-06-03_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLK_2018-06-16_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-06-19_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KGQ_2018-07-09_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHR_2018-07-29_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGN_2018-08-18_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHN_2018-08-18_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-10-27_final
2018-11-19 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-11-19_final
2018-11-20 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2018-11-20_final
2019-01-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-01-25_final
2019-02-11 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-11_final
2019-02-28 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-02-28_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-03-20_final
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final
2019-04-09 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2019-04-09_final
2019-04-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2019-04-09_final
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_49KHS_2019-04-25_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-06-04 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-04_final
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final
2019-06-08 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-06-08_final
2019-08-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-08-23_final
2019-09-19 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2019-09-19_final
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final
2019-11-24 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2019-11-24_final
2019-11-25 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2019-11-25_final
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-01-23 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-01-23_final
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-20_final
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2020-03-24_final
2020-03-24 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-24_final
2020-04-03 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-04-03_final
2020-04-06 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-04-06_final
2020-05-13 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2020-05-13_final
2020-07-15 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-15_final
2020-08-31 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-08-31_final
2020-09-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-09-26_final
2020-10-06 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-06_final
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-16_final
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2020-10-19_final
2020-10-19 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-19_final
2020-10-30 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-30_final
2020-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-11-05_final
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final
2020-11-08 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-11-08_final
2020-11-08 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-11-08_final
2020-11-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-11-19_final
2020-12-25 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-12-25_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-28_final
2021-01-11 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-01-11_final
2021-01-18 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-01-18_final
2021-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2021-02-17_final
2021-02-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2021-02-26_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-03-05_final
2021-03-08 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-08_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-05-14 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final
2021-07-13 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final
2021-08-12 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-08-12_final
2021-08-22 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-08-22_final
2021-08-29 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-08-29_final
2021-09-11 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-11_final
2021-10-14 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-14_final
2021-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-10-21_final
2022-02-28 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-02-28_final
2022-05-26 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2022-05-26_final
2022-06-22 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2022-06-22_final
2022-09-06 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-09-06_final
2023-01-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2023-01-14_final
2023-02-07 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-07_final
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-04-24_final
2023-06-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-10_final
2023-10-24 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-10-24_final
2023-12-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-12-17_final
2024-02-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-02-15_final
2024-04-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-05_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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