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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HQK_2017-07-05_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-14_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLL_2017-09-29_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGN_2017-10-02_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPG_2017-10-06_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPJ_2017-10-06_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HQK_2017-10-06_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HQJ_2017-10-13_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50HQK_2017-10-13_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKQ_2017-11-01_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMH_2017-11-05_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMJ_2017-11-08_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HQJ_2018-01-24_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMK_2018-01-27_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HNK_2018-01-27_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2018-04-07_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HLG_2018-05-04_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNG_2018-05-04_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-05-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-05-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-05-20_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQK_2018-05-21_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HQH_2018-06-03_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKP_2018-06-26_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNK_2018-08-02_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JKN_2018-09-24_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMH_2018-10-01_final
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final
2019-02-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-17_final
2019-02-28 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-02-28_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final
2019-03-20 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final
2019-03-20 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-03-20_final
2019-04-12 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2019-04-12_final
2019-04-15 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2019-04-15_final
2019-04-26 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-04-26_final
2019-09-02 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-09-02_final
2019-11-01 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-11-01_final
2019-11-18 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-11-18_final
2019-12-15 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2019-12-15_final
2020-01-07 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2020-01-07_final
2020-04-03 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-04-03_final
2020-04-09 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-09_final
2020-04-10 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-04-10_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-04-22_final
2020-04-29 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-29_final
2020-05-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2020-05-03_final
2020-07-12 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2020-07-12_final.stac-item
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final
2020-12-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2020-12-02_final
2021-02-04 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-02-04_final
2021-02-27 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-02-27_final
2021-03-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-19_final
2021-11-14 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-11-14_final
2021-11-27 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-11-27_final
2022-01-29 12:03:38	ga_s2bm_ard_3-2-1_49KHS_2022-01-29_final.stac-item
2022-04-06 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2022-04-06_final.stac-item
2022-06-15 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2022-06-15_final
2022-07-18 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2022-07-18_final
2022-09-30 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-09-30_final.stac-item
2022-11-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-11-29_final.stac-item
2023-01-18 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-18_final.stac-item
2023-01-21 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-02-13 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-02-13_final.stac-item
2023-03-22 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-03-22_final.stac-item
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final.stac-item
2023-05-07 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-05-07_final.stac-item
2023-06-03 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-06-03_final.stac-item
2023-07-03 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-07-03_final.stac-item
2023-07-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-07-23_final.stac-item
2023-07-23 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-07-23_final.stac-item
2023-08-02 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-08-02_final.stac-item
2023-08-12 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-12_final.stac-item
2023-08-15 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-08-15_final.stac-item
2023-09-11 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-09-11_final.stac-item
2023-10-24 12:14:20	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-12-10_final.stac-item
2023-12-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-12-14_final.stac-item
2023-12-23 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-12-23_final.stac-item
2023-12-30 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2023-12-30_final.stac-item
2024-01-13 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2024-01-13_final.stac-item
2024-01-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-01-19_final.stac-item
2024-01-22 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2024-01-22_final.stac-item
2024-01-23 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2024-01-23_final.stac-item
2024-02-01 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2024-02-01_final.stac-item
2024-02-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-02-08_final.stac-item
2024-02-12 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-02-12_final.stac-item
2024-02-22 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-02-22_final.stac-item
2024-03-12 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2024-03-12_final.stac-item
2024-03-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-12_final.stac-item
2024-04-01 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-04-01_final.stac-item
2024-04-05 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2024-04-05_final.stac-item
2024-04-08 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-08_final.stac-item
2024-04-12 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2024-04-12_nrt.stac-item
2024-04-12 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-04-12_nrt.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