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
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-02_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLJ_2018-03-18_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMG_2018-05-14_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-19_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-29_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-07-02_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final
2019-01-12 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2019-01-12_final.stac-item
2019-02-28 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-02-28_final.stac-item
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final
2019-06-14 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-06-14_final
2019-08-03 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-08-03_final
2019-08-23 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2019-08-23_final
2019-09-02 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-09-02_final
2019-09-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-09-22_final
2019-10-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-06_final
2019-11-01 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-11-01_final
2019-12-11 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2019-12-11_final
2019-12-18 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-18_final
2020-01-07 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-07_final
2020-04-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-04-09_final
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final
2020-05-19 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-05-19_final
2020-05-22 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-05-22_final.stac-item
2020-07-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-07-08_final
2020-09-06 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final
2020-10-23 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-23_final.stac-item
2020-11-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-11-05_final
2020-12-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2020-12-02_final
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2020-12-25 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-12-25_final
2021-01-01 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-01-01_final
2021-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-02-10_final
2021-03-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-12_final
2021-03-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-25_final
2021-08-22 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-08-22_final
2021-08-25 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2021-08-25_final
2021-10-28 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-10-28_final.stac-item
2021-10-31 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-10-31_final
2021-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-11-27_final
2021-11-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-30_final
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final.stac-item
2021-12-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-10_final
2021-12-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-10_final
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final
2022-01-06 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2022-01-06_final.stac-item
2022-01-23 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2022-01-23_final.stac-item
2022-01-29 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-01-29_final
2022-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-02-05_final
2022-02-11 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-11_final
2022-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-02_final
2022-04-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-09_final
2022-06-01 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-06-01_final
2022-07-08 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-07-08_final
2022-07-15 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2022-07-15_final.stac-item
2022-08-17 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-08-17_final
2022-08-30 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2022-08-30_final
2022-09-06 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-06_final.stac-item
2022-09-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2022-09-26_final.stac-item
2022-10-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-10-06_final.stac-item
2022-10-19 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-19_final.stac-item
2022-10-26 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-26_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-08_final.stac-item
2022-11-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-12_final.stac-item
2022-11-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-15_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_final.stac-item
2022-12-02 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2022-12-02_final.stac-item
2022-12-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-12-25_final.stac-item
2023-01-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-07_final.stac-item
2023-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HLH_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
2023-02-03 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-03_final.stac-item
2023-04-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-04-08_final.stac-item
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_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
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final.stac-item
2023-05-27 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-05-27_final.stac-item
2023-06-06 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-06-06_final.stac-item
2023-06-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-06-13_final.stac-item
2023-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2023-07-23_final.stac-item
2023-08-16 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2023-08-16_final.stac-item
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final.stac-item
2023-08-22 12:05:26	ga_s2bm_ard_3-2-1_49JGL_2023-08-22_final.stac-item
2023-09-01 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-09-01_final.stac-item
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final.stac-item
2023-10-21 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-21_final.stac-item
2023-12-03 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2023-12-03_final.stac-item
2023-12-20 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-12-20_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final.stac-item
2024-01-09 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-09_final.stac-item
2024-02-02 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2024-02-02_final.stac-item
2024-02-18 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2024-02-18_final.stac-item
2024-04-11 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-04-11_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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