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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-14_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final
2017-08-23 12:03:44	ga_s2bm_ard_3-2-1_49KHR_2017-08-23_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHP_2017-08-26_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGL_2017-11-01_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-14_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-30_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-04-10_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-07-29_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-08-28_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHR_2018-09-07_final
2018-12-03 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2018-12-03_final.stac-item
2018-12-06 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2018-12-06_final
2018-12-09 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2018-12-09_final
2018-12-09 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2018-12-09_final
2019-02-24 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2019-02-24_final
2019-04-05 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-05_final
2019-05-15 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final
2019-06-04 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-06-04_final
2019-06-17 12:13:47	ga_s2bm_ard_3-2-1_49KHS_2019-06-17_final.stac-item
2019-07-31 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-07-31_final.stac-item
2019-08-20 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2019-08-20_final.stac-item
2019-10-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-10-09_final.stac-item
2019-12-11 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-11_final
2020-01-10 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-01-10_final
2020-01-30 12:03:37	ga_s2bm_ard_3-2-1_49KHS_2020-01-30_final.stac-item
2020-02-02 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-02-02_final
2020-03-03 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-03-03 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-03_final
2020-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-04-09_final
2020-08-27 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-08-27_final
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-10-19 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-19_final
2020-10-19 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-19_final
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final
2020-11-05 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-11-05_final
2020-11-08 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-11-08_final
2020-11-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2020-11-22_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-25 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-12-25_final
2021-01-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-01-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-17_final
2021-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-01-21 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-02-13_final
2021-02-16 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2021-02-16_final
2021-03-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-08_final
2021-03-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-12_final
2021-03-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-18_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final.stac-item
2021-04-17 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-04-18 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2021-04-18_final.stac-item
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-05-14_final
2021-05-24 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-05-24_final
2021-06-13 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-06-13_final
2021-06-23 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-06-23_final
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final
2021-08-05 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-08-05_final
2021-08-12 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-01_final.stac-item
2021-10-11 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-10-11_final
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-10-31 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-31_final
2021-11-30 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2021-11-30_final
2021-12-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-03_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-12-30_final.stac-item
2022-02-15 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-02-15_final
2022-02-28 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-02-28_final
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2022-03-03_final
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final
2022-03-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-03-17_final
2022-04-26 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-04-26_final
2022-06-11 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2022-06-11_final
2022-06-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-06-11_final
2022-09-16 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-16_final.stac-item
2022-09-19 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-09-19_final.stac-item
2022-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-09-29_final.stac-item
2022-10-16 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-16_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-10-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-10-29_final.stac-item
2022-11-08 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-11-08_final.stac-item
2022-11-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-11-15_final.stac-item
2023-05-27 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-05-27_final.stac-item
2023-06-06 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-06_final.stac-item
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final.stac-item
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final.stac-item
2023-11-03 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-11-03_final.stac-item
2023-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-11-20_final.stac-item
2024-02-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-11_final.stac-item
2024-03-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-03-12_final.stac-item
2024-03-22 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-03-22_final.stac-item
2024-05-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-05-11_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