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_50HNG_2017-07-25_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2017-09-12_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLH_2017-09-29_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-12-11_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLG_2017-12-15_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMK_2017-12-18_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMJ_2017-12-28_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNG_2018-03-05_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-03-21_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2018-03-21_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLK_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-03-31_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-04-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-05-10_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMG_2018-05-14_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMK_2018-05-24_final
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HNG_2018-07-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNG_2018-07-23_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-08-11_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HLG_2018-08-12_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-08-12_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2019-01-12 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2019-01-12_final.stac-item
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-16_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final
2019-08-13 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-08-13_final
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2019-11-01 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-11-01_final
2019-11-01 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-11-01_final
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final
2019-12-08 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2019-12-08_final
2019-12-11 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2019-12-11_final
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final
2020-02-10 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2020-02-10_final.stac-item
2020-02-26 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-02-26_final
2020-02-26 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-02-26_final.stac-item
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final
2020-07-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-07-08_final
2020-07-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-18_final
2020-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-10_final
2020-08-14 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-08-14_final.stac-item
2020-09-26 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-09-26_final
2020-10-10 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-10_final
2020-10-13 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-10-13_final
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final
2020-11-15 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-11-15_final
2020-12-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-12-29_final.stac-item
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final
2021-02-23 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-02-23_final
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final
2021-04-27 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-04-27_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-04 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-04_final.stac-item
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-08-06_final.stac-item
2021-08-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-08-15_final
2021-09-01 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-01_final
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final.stac-item
2021-10-11 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-11_final.stac-item
2021-11-14 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-11-14_final
2021-11-14 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-11-14_final
2021-12-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-04_final.stac-item
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final
2021-12-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-12-27_final
2022-01-29 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-01-29_final
2022-02-15 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2022-02-15_final.stac-item
2022-03-20 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-03-20_final.stac-item
2022-04-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-09_final
2022-06-02 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-06-02_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2022-08-17_final.stac-item
2022-12-08 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-12-08_final.stac-item
2023-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-01-11_final.stac-item
2023-02-13 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2023-02-13_final.stac-item
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final.stac-item
2023-04-18 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-18_final.stac-item
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final.stac-item
2023-05-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final.stac-item
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final.stac-item
2023-08-26 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-08-26_final.stac-item
2023-10-25 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-10-25_final.stac-item
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final.stac-item
2023-12-04 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2023-12-04_final.stac-item
2023-12-30 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-12-30_final.stac-item
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-02-08_final.stac-item
2024-02-28 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-02-28_final.stac-item
2024-03-19 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-03-19_final.stac-item
2024-04-08 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-08_final.stac-item
2024-04-11 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-04-11_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