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
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JFM_2017-07-17_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGL_2017-07-17_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGM_2017-07-17_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HLK_2017-07-31_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JHN_2017-10-22_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-01-20_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMJ_2018-04-14_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-05-20_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHP_2018-07-09_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JFM_2018-07-12_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGM_2018-07-19_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGM_2018-09-20_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-03_final
2019-01-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-01-12_final
2019-01-29 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-29_final
2019-02-07 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-07_final
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-04-25 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGR_2019-05-08_final
2019-07-24 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-07-24_final
2019-08-03 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-08-03_final
2019-08-03 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-08-03_final
2019-09-09 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2019-09-09_final
2019-10-12 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-12_final
2019-10-19 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-19_final
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final.stac-item
2020-02-06 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2020-02-06_final
2020-03-27 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-27_final
2020-03-30 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-30_final
2020-04-02 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-04-02_final
2020-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2020-04-16_final
2020-04-26 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-26_final
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final
2020-04-29 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-29_final
2020-05-02 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2020-05-02_final
2020-05-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-18_final
2020-07-18 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-07-18_final
2020-10-10 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-10_final
2020-12-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2020-12-02_final
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final
2021-05-24 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-05-24_final
2021-08-02 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-08-02 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-08-02_final
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final
2021-09-04 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2021-09-04_final
2021-09-05 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2021-09-05_final
2021-10-18 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-18_final
2022-02-15 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-02-15_final
2022-04-06 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2022-04-06_final
2022-04-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2022-04-12_final.stac-item
2022-05-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2022-05-06_final
2022-05-29 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-05-29_final
2022-05-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-05-29_final
2022-06-28 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-06-28_final.stac-item
2022-07-08 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-08_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-18_final.stac-item
2022-07-18 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-18_final
2023-04-28 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-04-28_final.stac-item
2023-05-11 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-05-11_final.stac-item
2023-05-18 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-05-18_final.stac-item
2023-05-21 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-05-21_final.stac-item
2023-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-06-03_final.stac-item
2023-06-16 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-06-16_final.stac-item
2023-06-26 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-26_final.stac-item
2023-07-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-16_final.stac-item
2023-07-23 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2023-07-23_final.stac-item
2023-08-09 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-08-09_final.stac-item
2023-08-09 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-08-09_final.stac-item
2023-08-16 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-08-16_final.stac-item
2023-08-26 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-08-26_final.stac-item
2023-09-04 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-09-04_final.stac-item
2023-09-11 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-09-11_final.stac-item
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-10-11 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-11_final.stac-item
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final.stac-item
2023-11-03 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-11-03_final.stac-item
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final.stac-item
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2023-11-13_final.stac-item
2023-11-23 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2023-11-23_final.stac-item
2023-11-27 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2023-11-27_final.stac-item
2023-12-03 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2023-12-03_final.stac-item
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final.stac-item
2023-12-20 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-12-20_final.stac-item
2024-01-02 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-01-02_final.stac-item
2024-01-06 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2024-01-06_final.stac-item
2024-01-26 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2024-01-26_final.stac-item
2024-02-01 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2024-02-01_final.stac-item
2024-02-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-02-08_final.stac-item
2024-02-11 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-11_final.stac-item
2024-02-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-02-18_final.stac-item
2024-03-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2024-03-09_final.stac-item
2024-04-18 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2024-04-18_nrt.stac-item
2024-04-18 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-04-18_nrt.stac-item
2024-04-21 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-04-21_nrt.stac-item
2024-04-28 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2024-04-28_nrt.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

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