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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGL_2017-07-04_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2017-07-14_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2017-08-06_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2017-09-02_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHR_2017-10-22_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-11-24_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
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-12-14_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-01-20_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-09_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-19_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLJ_2018-03-08_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-03-24_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGM_2018-04-13_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-04-13_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMJ_2018-04-27_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGL_2018-06-22_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JHN_2018-06-29_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGN_2018-07-09_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HLG_2018-07-13_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGM_2018-08-18_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHM_2018-08-18_final
2018-12-06 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2018-12-06_final
2018-12-30 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2018-12-30_final
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final
2019-01-12 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-01-12_final
2019-01-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-01-19_final
2019-02-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-17_final
2019-02-28 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-02-28_final
2019-03-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2019-03-09_final
2019-03-20 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-03-20_final
2019-03-26 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final
2019-04-02 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2019-04-02_final
2019-04-12 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-04-12_final
2019-04-22 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2019-04-22_final
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final
2019-05-25 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-25_final
2019-05-28 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-28_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final
2019-06-04 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-06-04_final
2019-06-11 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-06-11_final
2019-07-11 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-07-11_final
2019-08-03 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-08-03_final
2019-10-06 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-10-06_final.stac-item
2019-10-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-12_final.stac-item
2019-11-14 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-11-14_final
2019-12-21 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-21_final.stac-item
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-31_final.stac-item
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_final
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final.stac-item
2020-02-12 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-02-12_final
2020-03-10 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-10_final.stac-item
2020-03-10 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-03-10_final
2020-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-20_final
2020-03-27 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-27_final
2020-04-02 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-04-02_final
2020-06-25 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2020-06-25_final.stac-item
2020-07-12 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2020-07-12_final.stac-item
2020-07-22 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-22_final
2020-09-23 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-09-23_final.stac-item
2020-10-16 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-10-16_final
2020-10-16 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-16_final
2020-10-16 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-16_final
2020-10-26 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-10-26_final
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final
2020-11-19 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2020-11-19_final
2020-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-11-28_final
2020-12-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-08_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2021-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-01-04_final.stac-item
2021-03-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-03-19_final
2021-03-29 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-03-29_final
2021-04-04 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-04-04_final
2021-04-14 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-04-14_final
2021-05-28 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-05-28_final
2021-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-06-07_final
2021-06-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-06-26_final
2021-07-06 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-06_final
2021-07-26 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-26_final
2021-07-27 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2021-07-27_final
2021-08-02 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-08-02_final
2021-08-12 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final
2021-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2021-09-05_final.stac-item
2021-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-11-04_final.stac-item
2023-05-07 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-05-07_final.stac-item
2023-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-08-06_final.stac-item
2023-11-04 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-11-04_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-11-10_final.stac-item
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final.stac-item
2024-03-02 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2024-03-02_final.stac-item
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2024-03-09_final.stac-item
2024-04-08 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-04-08_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