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
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-10-25_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_49JHM_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-12-11_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KGQ_2017-12-31_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-02_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-02-12_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-02-22_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMG_2018-03-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-03-14_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-03-24_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHM_2018-04-20_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMG_2018-05-07_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-08-28_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHP_2018-09-17_final
2018-11-06 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-06_final
2018-11-16 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2018-11-16_final
2019-01-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-15_final
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-02-27_final
2019-02-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-02-27_final
2019-03-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2019-03-09_final
2019-03-09 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2019-03-09_final
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_49KHS_2019-04-25_final.stac-item
2019-05-15 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-05-15_final
2019-05-18 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-18_final
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final
2019-06-21 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-06-21_final.stac-item
2019-07-24 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-07-24_final
2019-08-20 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2019-08-20_final
2019-08-27 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2019-08-27_final.stac-item
2019-08-30 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2019-08-30_final
2019-09-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-09_final.stac-item
2019-10-05 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-05_final
2019-11-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-11-04_final
2019-12-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2019-12-04_final
2019-12-04 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2019-12-04_final
2020-01-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-01-07_final.stac-item
2020-02-02 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-02-02_final
2020-03-10 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2020-03-10_final
2020-03-10 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-10_final
2020-03-23 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2020-03-23_final
2020-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-23_final
2020-03-30 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-30_final
2020-05-26 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2020-05-26_final
2020-08-01 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-08-01_final
2020-08-14 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-14_final
2020-08-17 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-17_final
2020-08-17 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-08-17_final
2020-08-17 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-17_final
2020-09-06 12:04:09	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final
2020-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-09-19_final
2020-09-26 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-09-26_final
2020-10-06 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2020-10-06_final
2020-10-13 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-10-13_final
2020-10-16 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-11-22 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2020-11-22_final
2021-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-01-04_final.stac-item
2021-01-24 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-01-24_final
2021-03-15 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2021-03-15_final
2021-03-18 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-18_final
2021-03-18 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-18_final
2021-03-18 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-03-18_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final
2021-03-28 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-03-28_final
2021-04-07 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-04-07_final
2021-04-17 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-17_final
2021-04-27 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-04-27_final
2021-05-07 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-05-07_final
2021-05-11 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2021-05-11_final
2021-07-03 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final
2021-09-24 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2021-09-24_final
2021-10-08 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-08_final
2021-10-08 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-10-08_final
2021-11-03 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-03_final
2021-11-13 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-11-13_final
2021-12-13 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2022-01-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-01-22_final
2022-02-05 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2022-02-05_final.stac-item
2022-02-11 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-11_final
2022-03-07 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-03-07_final
2022-04-12 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-04-12_final
2022-05-22 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2022-05-22_final
2022-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2022-05-23_final.stac-item
2022-06-28 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2022-06-28_final
2022-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final
2022-10-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-10-10_final.stac-item
2022-11-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-11-18_final.stac-item
2022-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-28_final.stac-item
2022-12-29 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2022-12-29_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-02-06_final.stac-item
2023-03-05 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-03-05_final.stac-item
2023-03-08 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-03-08_final.stac-item
2023-04-21 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-21_final.stac-item
2023-06-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-07_final.stac-item
2023-09-01 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-09-01_final.stac-item
2023-10-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2023-10-08_final.stac-item
2023-11-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_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