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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHP_2017-09-15_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-04_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-04_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KGQ_2017-12-11_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGJ_2017-12-31_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-05-10_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49JHN_2018-05-23_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-05-23_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2018-09-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLJ_2018-10-04_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLK_2018-10-04_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-10-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final
2018-11-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-16_final
2018-11-23 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2018-11-23_final
2018-11-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-11-26_final
2018-12-16 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2018-12-16_final
2018-12-19 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2018-12-19_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-01-28 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-01-28_final
2019-02-07 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-02-07_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-05-08_final
2019-06-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-06-27_final
2019-06-28 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-06-28_final
2019-07-18 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-18_final
2019-08-06 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-08-06_final
2019-08-16 12:14:19	ga_s2bm_ard_3-2-1_49KGQ_2019-08-16_final
2019-09-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-09-19_final
2019-09-22 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-09-22_final
2019-09-25 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-09-25_final
2019-10-25 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-10-25_final
2019-11-01 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-11-01_final
2019-11-04 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-11-04_final
2019-11-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-11-04_final
2019-11-18 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-11-18_final
2019-11-21 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2019-11-21_final
2019-11-21 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-11-21_final
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2019-11-24_final
2019-11-24 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-11-24_final
2019-11-24 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2019-11-24_final
2019-12-24 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-12-24_final
2020-01-20 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2020-01-20_final
2020-01-23 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-01-23_final
2020-02-02 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-02-02_final
2020-02-19 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-02-19_final
2020-05-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-05-22 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-05-22_final
2020-06-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-12_final
2020-07-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-12_final
2020-08-17 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2020-08-17_final
2020-08-21 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-08-21_final
2020-09-06 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-06_final
2020-09-09 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-09-09_final
2020-09-10 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-09-10_final
2020-09-26 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-09-26_final
2020-11-15 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-11-15_final
2020-12-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-12-08_final
2020-12-28 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-28_final
2021-01-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-01-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-01-17_final
2021-01-21 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-01-21_final
2021-01-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-01-24_final
2021-01-27 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-27_final
2021-05-07 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-05-07_final
2021-09-11 12:04:18	ga_s2bm_ard_3-2-1_49KHP_2021-09-11_final
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final
2022-04-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-02_final
2022-05-02 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-05-02_final
2022-06-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-06-21_final
2022-07-18 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-18_final
2022-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2022-08-10_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final
2022-08-30 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2022-08-30_final
2022-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-09-29_final.stac-item
2022-11-28 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-28_final.stac-item
2023-03-08 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-03-08_final.stac-item
2023-03-22 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-03-22_final.stac-item
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final.stac-item
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final.stac-item
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2023-04-24_final.stac-item
2023-05-18 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-05-18_final.stac-item
2023-06-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-06-16_final.stac-item
2023-08-29 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-08-29_final.stac-item
2023-10-11 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-11_final.stac-item
2023-10-11 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-11_final.stac-item
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final.stac-item
2023-10-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final.stac-item
2023-12-07 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-12-07_final.stac-item
2023-12-10 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-10_final.stac-item
2023-12-10 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-12-10_final.stac-item
2023-12-13 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-12-13_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2024-01-19 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-01-19_final.stac-item
2024-02-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-02-15_final.stac-item
2024-02-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-21_final.stac-item
2024-03-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2024-03-06_final.stac-item
2024-03-26 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-03-26_final.stac-item
2024-03-26 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2024-03-26_final.stac-item
2024-04-25 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-04-25_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