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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HQJ_2017-07-25_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2017-09-12_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPG_2017-11-15_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HNG_2017-12-02_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMH_2018-01-14_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGJ_2018-03-01_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHS_2018-03-11_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQH_2018-03-12_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHM_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMK_2018-04-04_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGP_2018-04-20_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-05-14_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-06-09_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-13_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final
2019-01-09 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-01-09_final.stac-item
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final.stac-item
2019-03-09 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-03-09_final
2019-04-25 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-04-25_final
2019-05-06 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-05-06_final
2019-05-15 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-15_final
2019-05-19 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-19_final.stac-item
2019-05-22 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-05-22_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final
2019-06-05 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-06-05_final.stac-item
2019-06-14 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-14_final.stac-item
2019-06-15 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-06-15_final
2019-06-18 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-18_final
2019-06-18 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-18_final.stac-item
2019-07-17 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-07-17_final.stac-item
2019-07-18 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-07-18_final
2019-07-18 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-07-18_final.stac-item
2019-10-03 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2019-10-03_final.stac-item
2019-11-15 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-11-15_final
2019-12-05 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2019-12-05_final.stac-item
2019-12-21 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-21_final
2020-01-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-01-10_final
2020-01-31 11:36:55	ga_s2bm_ard_3-2-1_50HQH_2020-01-31_final
2020-02-13 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-02-13_final
2020-02-13 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-02-13_final.stac-item
2020-02-26 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-02-26_final.stac-item
2020-03-31 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-31_final
2020-04-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-16_final
2020-04-19 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-04-19_final
2020-05-16 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2020-05-16_final.stac-item
2020-05-22 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-05-22_final.stac-item
2020-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-06-11_final
2020-06-19 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-19_final
2020-07-09 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-07-09_final
2020-08-21 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-21_final
2020-09-27 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-27_final
2020-11-09 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2020-11-09_final
2020-11-09 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2020-11-09_final.stac-item
2020-11-18 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2020-11-18_final
2021-01-28 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-01-28_final
2021-03-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-19_final
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final.stac-item
2021-04-04 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-04-04_final
2021-04-05 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-04-05_final
2021-04-24 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-04-24_final
2021-04-28 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-28_final
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final.stac-item
2021-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-07_final
2021-06-17 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-17_final
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-07-14 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-07-14_final.stac-item
2021-08-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-08-12_final
2021-09-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-01_final.stac-item
2021-10-12 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-10-12_final.stac-item
2022-03-24 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-24_final
2022-04-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-04-19_final
2022-08-11 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2022-08-11_final
2022-09-26 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-09-26_final.stac-item
2022-10-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-10-09_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-10-26 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-26_final.stac-item
2022-10-30 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-10-30_final.stac-item
2022-11-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-11-25_final.stac-item
2023-01-24 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2023-01-24_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-27_final.stac-item
2023-03-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-03-06_final.stac-item
2023-04-11 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2023-04-11_final.stac-item
2023-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-07-26_final.stac-item
2023-07-27 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2023-07-27_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2023-10-22 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-22_final.stac-item
2023-11-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-11-27_final.stac-item
2023-12-21 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-12-21_final.stac-item
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-01-09_final.stac-item
2024-04-09 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-04-09_interim.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