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
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_49KHR_2017-08-16_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGM_2017-10-22_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHS_2017-11-11_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGL_2017-12-01_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-12-24_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HLG_2018-01-04_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHS_2018-03-04_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMG_2018-03-05_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-11_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLJ_2018-03-18_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-08-11_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLH_2018-09-04_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMG_2018-10-11_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLG_2018-11-03_final.stac-item
2018-12-19 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2018-12-19_final
2018-12-19 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-19_final
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final
2019-01-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-01-05_final.stac-item
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-01-08_final
2019-01-25 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-01-25_final
2019-02-01 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-01_final
2019-02-07 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-02-07_final
2019-03-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-06_final
2019-03-13 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-03-13_final
2019-05-19 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-19_final.stac-item
2019-05-25 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-25_final
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-07-11 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-07-11_final
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final
2019-08-23 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2019-08-23_final
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final
2019-12-31 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-31_final
2020-01-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-01-07_final
2020-01-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-01-10_final
2020-01-20 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2020-01-20_final
2020-02-26 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-02-26_final.stac-item
2020-02-29 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-02-29_final
2020-03-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-03-24_final.stac-item
2020-07-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-07-05_final
2020-08-24 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-08-24_final
2020-09-19 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-09-19_final
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final
2020-10-16 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-16_final
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final
2020-11-08 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-11-08_final
2021-01-11 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-01-11_final
2021-01-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-01-24_final
2021-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-05_final
2021-04-17 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-17_final
2021-04-24 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-04-24_final.stac-item
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2021-07-23_final.stac-item
2021-08-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-08-12_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-09-21 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2021-09-21_final
2021-10-04 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-10-04_final
2021-11-03 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-11-03_final
2021-11-03 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-11-03_final
2021-11-23 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-11-23_final
2021-12-17 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2021-12-17_final
2022-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-13_final
2022-03-13 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-03-27 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2022-03-27_final.stac-item
2022-04-22 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2022-04-22_final
2022-05-02 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2022-05-02_final.stac-item
2022-05-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-05-09_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-05-19_final.stac-item
2022-08-07 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-08-07_final
2022-09-06 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-06_final.stac-item
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-16_final.stac-item
2022-10-29 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-10-29_final.stac-item
2022-11-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-11-02_final.stac-item
2022-11-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-08_final.stac-item
2022-11-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-15_final.stac-item
2022-12-08 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-12-08_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-12-15_final.stac-item
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-01-14_final.stac-item
2023-01-21 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-02-07 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-07_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final.stac-item
2023-08-22 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-22_final.stac-item
2023-08-22 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-22_final.stac-item
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final.stac-item
2023-09-24 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-09-24_final.stac-item
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final.stac-item
2023-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final.stac-item
2023-12-03 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-03_final.stac-item
2023-12-10 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-12-10_final.stac-item
2024-01-09 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2024-01-09_final.stac-item
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_final.stac-item
2024-02-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-02-15_final.stac-item
2024-02-21 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-02-21_final.stac-item
2024-03-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-03-23_final.stac-item
2024-03-26 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-03-26_final.stac-item
2024-04-01 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2024-04-01_final.stac-item
2024-04-28 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-04-28_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

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