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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGL_2017-08-26_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-22_final
2017-09-25 12:14:28	ga_s2bm_ard_3-2-1_49JGM_2017-09-25_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-10-25_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-14_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-12-11_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JFM_2018-01-23_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-02-12_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-03-24_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-04-13_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLK_2018-05-07_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-05-10_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_49JGK_2018-05-10_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-08-21_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HLH_2018-10-11_final
2018-11-30 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-30_final
2018-12-16 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2018-12-16_final
2019-01-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-01-15_final
2019-01-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-01-15_final
2019-01-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-01-22_final
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final
2019-02-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-02-14_final
2019-04-15 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2019-04-15_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-05-29 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-29_final.stac-item
2019-10-15 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-10-15_final
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final
2019-11-21 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2019-11-21_final
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-01_final.stac-item
2019-12-14 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-14_final
2019-12-18 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-18_final
2019-12-24 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2019-12-24_final
2020-01-03 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-03_final
2020-01-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2020-01-10_final.stac-item
2020-01-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2020-01-13_final
2020-02-02 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-02-02_final
2020-02-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-02-16_final
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final
2020-03-03 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-05-29_final
2020-06-25 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-06-25_final
2020-06-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-28_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-06-28_final
2020-06-28 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-28_final
2020-07-01 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-07-01_final
2020-08-30 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-30_final
2020-09-26 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-09-26_final
2020-10-09 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-09_final
2020-10-09 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-09_final
2020-11-25 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-25_final
2020-11-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2020-11-25_final
2020-12-05 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2020-12-05_final
2021-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-01-04_final.stac-item
2021-01-04 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-01-04_final
2021-01-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-01-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-01-21_final
2021-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-01-27 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-01-27_final
2021-02-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-05-17 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-05-17_final
2021-07-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-13_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-09-24 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-09-24_final
2021-11-10 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-11-10_final
2021-11-23 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-11-23_final
2021-12-03 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-03_final
2022-01-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2022-01-19_final
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final
2022-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-04-09_final
2022-04-29 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2022-04-29_final
2022-07-08 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-07-08_final
2022-07-15 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2022-07-15_final
2022-09-29 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-09-29_final.stac-item
2022-09-29 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-09-29_final.stac-item
2022-10-19 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-10-19_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2023-01-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-07_final.stac-item
2023-01-17 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2023-01-17_final.stac-item
2023-01-28 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-01-28_final.stac-item
2023-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-10_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-06-06 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-06-06_final.stac-item
2023-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-07-26_final.stac-item
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-02_final.stac-item
2023-08-12 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-08-12_final.stac-item
2023-09-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-09-28_final.stac-item
2023-10-15 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2023-10-15_final.stac-item
2023-11-07 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-11-07_final.stac-item
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-20_final.stac-item
2024-01-09 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-09_final.stac-item
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final.stac-item
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_final.stac-item
2024-03-16 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-03-16_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