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
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_49JGL_2017-08-23_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNH_2017-08-27_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2017-09-02_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMG_2017-12-08_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HNH_2017-12-15_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-12-21_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-24_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-01-30_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMJ_2018-03-05_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-11_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNH_2018-05-24_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2018-07-13_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHS_2018-07-19_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HLG_2018-08-12_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLJ_2018-10-14_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMG_2018-11-03_final.stac-item
2018-11-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2018-11-06_final
2018-11-20 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2018-11-20_final.stac-item
2018-11-30 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2018-11-30_final.stac-item
2018-12-13 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2018-12-13_final.stac-item
2018-12-16 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2018-12-16_final
2019-01-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-01-08_final
2019-01-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-01-25_final
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-02-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2019-02-14_final
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final
2019-03-30 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2019-03-30_final
2019-04-12 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2019-04-12_final
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-05-05_final.stac-item
2019-05-22 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-22_final
2019-05-29 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-29_final
2019-06-11 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-06-11_final.stac-item
2019-07-18 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-07-18_final
2019-08-04 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-08-04_final.stac-item
2019-09-06 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2019-09-06_final
2019-09-16 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2019-09-16_final
2019-11-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-11-04_final
2019-11-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-11-21_final
2019-11-25 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2019-11-25_final
2019-11-25 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2019-11-25_final
2019-12-04 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-04_final
2020-01-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-01-03_final
2020-01-14 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-01-14_final
2020-01-23 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-01-23_final
2020-02-03 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2020-02-03_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-02-13 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2020-02-13_final
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2020-03-24_final
2020-04-06 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2020-04-06_final
2020-05-26 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-05-26_final
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-28_final.stac-item
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final
2020-10-16 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-16_final
2020-11-15 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-11-15_final
2020-11-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2020-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2020-12-19_final.stac-item
2021-01-08 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-01-08_final
2021-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-08_final
2021-04-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-27_final
2021-05-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-05-24_final
2021-06-13 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final
2021-07-13 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-13_final.stac-item
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-08-12_final
2021-08-22 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-08-22_final
2021-09-01 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-01_final
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final
2021-09-24 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-09-24_final
2021-12-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2021-12-24_final
2022-01-22 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-01-22_final
2022-02-08 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-08_final
2022-02-22 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-22_final
2022-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-13_final
2022-07-12 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-12_final
2022-07-22 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-07-22_final
2022-08-10 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-08-10_final
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-09_final.stac-item
2022-09-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2022-09-26_final.stac-item
2022-12-19 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-12-19_final.stac-item
2023-01-17 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-01-17_final.stac-item
2023-03-18 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-03-18_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final.stac-item
2023-07-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-07-07_final.stac-item
2023-08-06 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-08-06_final.stac-item
2023-09-14 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-09-14_final.stac-item
2023-10-01 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-01_final.stac-item
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-11-04 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-11-04_final.stac-item
2023-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-20_final.stac-item
2024-01-23 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2024-01-23_final.stac-item
2024-02-11 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2024-02-11_final.stac-item
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final.stac-item
2024-03-06 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2024-03-06_final.stac-item
2024-03-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-12_final.stac-item
2024-03-29 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-03-29_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