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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HLG_2017-07-11_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHS_2017-07-24_final.stac-item
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGL_2017-07-27_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHR_2017-08-26_final
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-05_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLG_2017-12-25_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-01-03_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-01-23_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-09_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGN_2018-03-04_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-05-20_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLJ_2018-06-06_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-06-09_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHQ_2018-06-19_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HMG_2018-06-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JHN_2018-06-29_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-29_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-07-12_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_49KHR_2018-08-18_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JHN_2018-09-07_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HLH_2018-09-21_final
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final
2018-12-20 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-12-20_final
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-02-07_final.stac-item
2019-02-24 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-02-24_final
2019-03-20 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-03-20_final
2019-03-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-04-28 12:13:47	ga_s2bm_ard_3-2-1_49KHS_2019-04-28_final.stac-item
2019-05-02 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-05-02_final
2019-05-15 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-05-18 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-05-18_final
2019-06-01 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-01_final
2019-06-11 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-06-11_final
2019-06-11 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-06-11_final
2019-09-05 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-09-05_final
2019-09-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-09-12_final
2019-10-19 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-10-19_final.stac-item
2019-10-25 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-10-25_final
2019-11-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2019-11-21_final
2020-01-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-01-03_final
2020-01-03 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-01-03_final
2020-01-23 12:14:20	ga_s2bm_ard_3-2-1_49KGP_2020-01-23_final
2020-01-30 12:03:37	ga_s2bm_ard_3-2-1_49KHS_2020-01-30_final.stac-item
2020-02-06 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-02-06_final
2020-02-12 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-02-12_final
2020-02-29 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-02-29_final
2020-03-10 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-03-10_final
2020-03-24 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-24_final
2020-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2020-05-19_final
2020-05-26 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2020-05-26_final
2020-05-29 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-05-29_final.stac-item
2020-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-06-08_final
2020-06-28 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-28_final
2020-07-11 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-07-11_final
2020-07-18 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-07-18_final
2020-10-06 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-10-06_final
2020-10-16 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2020-10-16_final
2020-11-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-11-05_final
2020-11-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2020-11-22_final
2020-12-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2020-12-05_final
2021-02-16 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-16_final
2021-03-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-18_final
2021-04-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-04-04_final
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-24 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-04-24_final
2021-07-13 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-13_final.stac-item
2021-08-02 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final
2021-10-31 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-31_final
2021-11-03 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-03_final
2022-02-21 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-21_final
2022-05-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-05-12_final
2022-06-21 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-06-21_final
2022-06-28 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2022-06-28_final
2022-07-01 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-01_final
2022-09-13 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2022-09-13_final.stac-item
2022-10-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-10-09_final.stac-item
2022-10-19 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-10-19_final.stac-item
2022-11-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-11-25_final.stac-item
2022-12-05 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-12-05_final.stac-item
2023-01-08 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2023-01-08_final.stac-item
2023-01-18 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-18_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-02-06_final.stac-item
2023-05-14 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-05-14_final.stac-item
2023-06-23 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-06-23_final.stac-item
2023-07-16 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-16_final.stac-item
2023-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-05_final.stac-item
2023-09-18 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-09-18_final.stac-item
2023-11-13 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-11-13_final.stac-item
2024-02-01 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2024-02-01_final.stac-item
2024-02-18 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2024-02-18_final.stac-item
2024-03-09 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2024-03-09_final.stac-item
2024-03-22 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-03-22_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