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
2017-07-07 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-07_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGK_2017-07-14_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JGM_2017-10-05_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HLG_2017-10-19_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-10-25_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50HQH_2018-01-01_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNH_2018-01-24_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-19_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_50HMG_2018-03-05_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPG_2018-03-22_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HQK_2018-05-24_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQK_2018-06-30_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGN_2018-08-08_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HQJ_2018-08-19_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KGP_2018-09-07_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2018-09-27_final
2018-11-26 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2018-11-26_final
2018-11-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-11-27_final
2018-12-06 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2018-12-06_final
2018-12-19 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2018-12-19_final
2018-12-26 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-12-26_final
2018-12-30 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2018-12-30_final
2019-01-19 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-01-19_final.stac-item
2019-01-26 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-01-26_final
2019-02-04 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-02-04_final
2019-02-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2019-02-05_final
2019-02-07 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-02-07_final
2019-02-11 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-11_final
2019-02-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2019-02-25_final
2019-03-29 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-29_final
2019-05-09 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-09_final
2019-05-18 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-05-18_final
2019-05-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2019-05-18_final
2019-07-08 11:47:26	ga_s2bm_ard_3-2-1_50HPG_2019-07-08_final.stac-item
2019-07-14 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-07-14_final
2019-07-17 12:14:36	ga_s2bm_ard_3-2-1_49KGP_2019-07-17_final
2019-08-27 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2019-08-27_final
2019-09-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-09-19_final
2019-10-02 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-10-02_final
2019-10-23 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2019-10-23_final
2019-10-25 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2019-10-25_final
2019-11-12 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2019-11-12_final
2019-12-15 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2019-12-15_final
2019-12-15 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2019-12-15_final.stac-item
2020-01-11 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-01-11_final.stac-item
2020-02-20 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2020-02-20_final
2020-04-02 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-04-02_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-05-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-05-02_final
2020-05-03 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2020-05-03_final
2020-06-25 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-06-25_final
2020-07-11 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-11_final
2020-07-28 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-07-28_final
2020-07-31 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-07-31_final
2020-08-21 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-08-21_final
2020-08-28 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2020-08-28_final
2020-08-31 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-09-29 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-29_final
2020-11-25 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2020-11-25_final
2020-12-18 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-12-18_final
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final
2021-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-11_final
2021-02-17 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2021-02-17_final
2021-02-23 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-02-23_final
2021-03-05 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-03-05_final
2021-04-25 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2021-04-25_final
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final
2021-09-24 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-09-24_final
2021-12-24 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-24_final
2022-01-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-01-16_final
2022-01-20 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2022-01-20_final.stac-item
2022-02-11 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2022-02-11_final
2022-02-12 11:46:55	ga_s2bm_ard_3-2-1_50HNH_2022-02-12_final
2022-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-03-20_final
2022-07-11 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-11_final
2022-08-04 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-08-04_final
2022-08-10 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2022-08-10_final
2022-08-24 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2022-08-24_final.stac-item
2022-09-10 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2022-09-10_final.stac-item
2022-09-29 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-09-29_final.stac-item
2022-12-22 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-12-22_final.stac-item
2023-01-24 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-24_final.stac-item
2023-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-17_final.stac-item
2023-05-28 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-05-28_final.stac-item
2023-06-04 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-06-04_final.stac-item
2023-06-16 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-16_final.stac-item
2023-06-16 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-06-16_final.stac-item
2023-07-17 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-17_final.stac-item
2023-11-04 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-11-04_final.stac-item
2023-11-07 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-11-07_final.stac-item
2023-12-04 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-12-04_final.stac-item
2023-12-20 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2023-12-20_final.stac-item
2023-12-24 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-12-24_final.stac-item
2024-01-26 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-01-26_final.stac-item
2024-02-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-02-11_final.stac-item
2024-02-11 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-02-11_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