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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNH_2017-09-16_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-09-22_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KGQ_2017-10-05_final
2017-10-15 12:13:29	ga_s2bm_ard_3-2-1_49KHR_2017-10-15_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-03_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMK_2018-05-07_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHQ_2018-05-10_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLJ_2018-06-06_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGJ_2018-09-27_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-10-07_final
2018-11-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-06_final
2018-11-23 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2018-11-23_final
2018-12-06 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2018-12-06_final
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final
2018-12-29 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-12-29_final
2019-02-17 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2019-02-17_final
2019-06-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-06-27_final
2019-06-28 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-06-28_final
2019-08-03 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2019-08-03_final
2019-08-10 11:56:47	ga_s2bm_ard_3-2-1_50HLK_2019-08-10_final
2019-09-05 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2019-09-05_final
2019-09-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-25 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-09-25_final
2019-10-15 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-15_final
2019-10-15 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-15_final
2019-10-25 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-25_final
2019-11-21 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2019-11-21_final
2019-11-21 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-11-21_final
2019-12-14 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-14_final
2019-12-24 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2019-12-24_final
2020-01-23 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-01-23_final
2020-01-23 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-01-23_final
2020-02-19 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-02-19_final
2020-04-12 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2020-04-12_final
2020-05-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-05-06_final
2020-05-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2020-05-16_final
2020-06-08 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-06-08_final
2020-08-17 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-17_final
2020-08-21 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-08-21_final
2020-08-24 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-08-24_final
2020-08-24 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-24_final
2020-08-30 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-30_final
2020-09-03 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-09-03_final
2020-09-06 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-09-06_final
2020-09-10 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-09-10_final.stac-item
2020-09-16 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-16_final
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-10-06 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-10-06_final
2020-11-09 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-11-09_final
2020-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-12-18_final
2021-01-21 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-01-21_final
2021-01-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-27_final
2021-02-06 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-02-06_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final
2021-03-02 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-03-02_final
2021-05-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-05-18_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-09-01_final
2021-10-11 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-10-11_final
2021-10-18 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-10-18_final
2021-11-24 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2021-11-24_final.stac-item
2022-01-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-01-06_final
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-03-10 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-03-10_final
2022-03-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-03-17_final
2022-04-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-04-16_final
2022-04-23 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2022-04-23_final.stac-item
2022-05-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-05-06_final
2022-06-01 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-06-01_final
2022-07-12 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2022-07-12_final.stac-item
2022-07-22 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-22_final
2022-08-11 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-08-11_final
2022-08-20 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-08-20_final
2022-08-21 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2022-08-21_final
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-09-30 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2022-09-30_final.stac-item
2022-10-03 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-10-03_final.stac-item
2022-12-06 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2022-12-06_final.stac-item
2022-12-22 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2022-12-22_final.stac-item
2022-12-28 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-12-28_final.stac-item
2023-01-17 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-17_final.stac-item
2023-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2023-01-18_final.stac-item
2023-02-03 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-02-03_final.stac-item
2023-02-17 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-02-17_final.stac-item
2023-03-09 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-03-09_final.stac-item
2023-03-12 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-03-12_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final.stac-item
2023-05-28 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-05-28_final.stac-item
2023-06-27 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-27_final.stac-item
2023-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-07-17_final.stac-item
2023-08-06 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-08-06_final.stac-item
2023-10-25 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-10-25_final.stac-item
2023-12-03 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-12-03_final.stac-item
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-13_final.stac-item
2024-01-06 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2024-01-06_final.stac-item
2024-02-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-02-15_final.stac-item
2024-03-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2024-03-06_final.stac-item
2024-03-16 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-03-16_final.stac-item
2024-04-25 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_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