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
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49JGL_2017-08-06_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50HLK_2017-08-30_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLG_2017-09-16_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JHM_2017-10-22_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-11-21_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-11_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-12-21_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_49JGN_2018-01-13_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-01-20_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-01-30_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-02-02_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-09_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-02-09_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-12_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGN_2018-03-04_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-03-24_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-04-13_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-04-13_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGL_2018-05-23_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHQ_2018-07-09_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLJ_2018-07-16_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMH_2018-07-23_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLJ_2018-07-26_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HMH_2018-09-04_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHP_2018-09-07_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHS_2018-10-17_final
2018-11-30 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-11-30_final
2018-12-10 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2018-12-10_final
2018-12-13 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2018-12-13_final
2018-12-20 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-12-20_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final
2019-01-29 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-29_final
2019-02-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-02-17_final
2019-03-16 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-04-05 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-04-05_final
2019-04-05 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2019-04-05_final
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final
2019-05-09 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-09_final
2019-05-25 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-25_final
2019-05-25 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-25_final
2019-06-04 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-04_final
2019-06-04 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-06-04_final
2019-06-14 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-06-14 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-06-17 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-17_final
2019-06-24 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-24_final
2019-07-17 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-17_final
2019-07-18 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-07-18_final
2019-07-27 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-07-27_final
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-08-13_final
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-01_final
2020-01-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-01-10_final
2020-02-09 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-02-09_final
2020-04-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2020-04-12_final
2020-05-13 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2020-05-13_final
2020-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2020-05-19_final
2020-05-19 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-05-19_final
2020-06-28 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-28_final
2020-07-01 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-07-01_final
2020-07-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-18_final
2020-09-10 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-09-10_final
2020-10-16 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-10-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-10-29_final
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-11-05_final
2020-12-12 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-12-12_final
2021-02-23 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-23_final
2021-03-05 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-03-05_final
2021-03-05 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-05_final
2021-03-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-28_final
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-04-04_final
2021-04-04 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-04-04_final
2021-05-01 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2021-05-01_final
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-21 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-05-21_final
2021-05-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-05-27_final
2021-06-23 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-06-23_final
2021-06-26 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-06-26_final
2021-07-03 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final
2021-07-16 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-16_final
2021-07-23 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2021-07-23_final
2021-07-27 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-27_final
2021-08-02 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2021-09-05_final
2021-10-15 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-10-15_final
2022-01-03 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2022-01-03_final
2022-03-13 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2022-05-23_final
2022-06-02 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-06-02_final
2022-12-09 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2022-12-09_final
2023-04-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-04-08_final
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final
2024-02-01 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-02-01_final
2024-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-02-05_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

All years