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_49JFM_2017-07-14_final
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGM_2017-07-27_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGM_2017-12-01_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-12-08_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-01-13_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-01_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGL_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGK_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-03-14_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2018-03-21_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-04-10_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-04-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-05-10_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGM_2018-05-23_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-05-30_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGM_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-07-29_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2018-11-20 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2018-11-20_final.stac-item
2018-12-16 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2018-12-16_final.stac-item
2018-12-23 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2018-12-23_final.stac-item
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-02-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-17_final
2019-02-28 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-02-28_final.stac-item
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final
2019-05-18 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-18_final.stac-item
2019-06-01 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-01_final
2019-08-13 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-08-13_final
2019-08-17 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-08-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2019-08-20_final.stac-item
2019-08-20 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2019-08-20_final.stac-item
2019-09-06 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2019-09-06_final.stac-item
2019-10-02 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-02_final.stac-item
2019-10-26 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-26_final
2019-11-14 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-11-14_final
2019-11-18 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2019-11-18_final.stac-item
2019-11-24 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2019-11-24_final
2019-11-25 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2019-11-25_final.stac-item
2019-12-04 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-04_final
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final
2019-12-25 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-25_final.stac-item
2020-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-20_final
2020-06-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-06-05_final
2020-06-12 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-06-12_final.stac-item
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final
2020-07-01 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-01_final
2020-08-27 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-27_final
2020-09-26 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-26_final
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-16_final.stac-item
2020-10-19 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-19_final
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final
2020-11-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-11-05_final
2020-11-08 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-11-08_final
2020-11-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final
2020-11-22 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2020-11-22_final.stac-item
2020-12-05 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2020-12-05_final
2020-12-28 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-12-28_final
2021-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-13_final
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final
2021-02-27 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-02-27_final.stac-item
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final
2021-04-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-27_final
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-05-14_final
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final
2021-06-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-06-26_final
2021-07-03 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final
2021-07-16 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-16_final
2021-08-15 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-08-15_final
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final
2021-12-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-04_final.stac-item
2021-12-20 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-20_final
2021-12-23 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2021-12-23_final
2021-12-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-23_final
2022-01-03 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2022-01-03_final
2022-01-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-01-09_final
2022-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-01-23_final
2022-02-01 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-01_final
2022-05-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final
2022-06-21 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-06-21_final
2022-10-10 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-10-10_final.stac-item
2022-12-02 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2022-12-02_final.stac-item
2022-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-12-19_final.stac-item
2023-01-21 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-04-14 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-04-14_final.stac-item
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-20_final.stac-item
2024-02-01 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-02-01_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

All years