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
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-11-14_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-12-21_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-01-03_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGM_2018-01-10_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-01-13_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLH_2018-01-27_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-02-12_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHS_2018-03-11_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGN_2018-08-01_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-08-21_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLH_2018-10-14_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-16_final
2018-11-26 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2018-11-26_final.stac-item
2018-12-23 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2018-12-23_final
2018-12-26 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-12-26_final
2019-01-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-01-15_final
2019-01-29 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-29_final
2019-02-04 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-02-04_final
2019-02-04 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-02-04_final
2019-02-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-02-14_final
2019-03-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2019-03-09_final
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_49KHS_2019-04-25_final.stac-item
2019-06-17 12:13:47	ga_s2bm_ard_3-2-1_49KHS_2019-06-17_final.stac-item
2019-08-06 12:15:07	ga_s2bm_ard_3-2-1_49JFM_2019-08-06_final
2019-08-13 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-08-13_final
2019-08-23 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2019-08-23_final
2019-08-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-08-23_final
2019-08-26 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-08-26_final
2019-08-26 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2019-08-26_final
2019-10-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-10-09_final.stac-item
2019-10-22 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2019-10-22_final
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final
2019-11-14 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-11-14_final
2019-12-04 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2019-12-04_final
2019-12-24 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2019-12-24_final
2019-12-25 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-25_final
2020-01-14 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-14_final
2020-02-09 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-02-09_final
2020-02-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-02-29_final.stac-item
2020-07-31 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-31_final
2020-08-07 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-07_final.stac-item
2020-08-07 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-07_final
2020-08-17 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-08-17_final
2020-08-24 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-08-24_final
2020-09-06 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final
2020-09-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-29_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-10-20 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-20_final
2020-11-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2020-11-22_final
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-08_final
2021-01-07 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-01-07_final
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final
2021-01-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-17_final
2021-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-02-13_final
2021-03-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-25_final
2021-05-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-05-07_final
2021-05-14 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-05-14_final
2021-06-13 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-13_final
2021-07-03 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final
2021-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-07-23_final
2021-10-11 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-10-11_final
2021-11-27 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-11-27_final
2021-12-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-03_final
2021-12-13 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final
2022-01-02 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-02_final
2022-01-06 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-01-06_final
2022-01-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-01-16_final
2022-01-22 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2022-01-22_final
2022-02-11 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-11_final
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final
2022-03-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-03-13_final
2022-03-30 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-04-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-04-19_final
2022-05-12 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-05-12_final
2022-06-18 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-06-18_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
2022-10-16 12:04:40	ga_s2bm_ard_3-2-1_49JGN_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
2022-11-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-28_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2023-01-17 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-01-17_final.stac-item
2023-01-27 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-27_final.stac-item
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-05-14_final.stac-item
2023-05-14 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-05-14_final.stac-item
2023-05-24 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-05-24_final.stac-item
2023-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-16_final.stac-item
2023-07-23 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2023-07-23_final.stac-item
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final.stac-item
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final.stac-item
2024-01-02 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-01-02_final.stac-item
2024-01-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2024-01-12_final.stac-item
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_final.stac-item
2024-04-08 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-04-08_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