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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGM_2017-07-04_final
2017-09-25 12:14:28	ga_s2bm_ard_3-2-1_49JGM_2017-09-25_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGJ_2017-10-12_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLG_2017-11-05_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-14_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-20_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-01-23_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-09_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLG_2018-03-05_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMG_2018-03-15_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGL_2018-09-07_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-10-27_final.stac-item
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-12-13 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2018-12-13_final
2019-01-29 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-29_final
2019-03-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2019-03-10_final.stac-item
2019-03-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-03-26_final
2019-04-15 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-04-15_final
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final
2019-05-25 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-25_final
2019-05-25 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-25_final
2019-06-08 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-08_final
2019-08-13 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-08-13_final
2019-08-23 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-08-23_final
2019-10-16 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2019-10-16_final.stac-item
2019-12-01 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-01_final
2020-01-24 11:46:48	ga_s2bm_ard_3-2-1_50HMJ_2020-01-24_final
2020-01-27 11:56:47	ga_s2bm_ard_3-2-1_50HLJ_2020-01-27_final
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_49KHR_2020-01-30_final
2020-02-12 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-02-12_final
2020-02-22 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-02-22_final
2020-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-17_final
2020-04-29 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2020-04-29_final.stac-item
2020-08-17 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-08-17_final
2020-10-09 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-09_final
2020-10-16 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-16_final
2020-10-23 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-10-23_final
2020-10-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-26_final.stac-item
2020-10-26 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-26_final
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final
2020-11-08 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-11-08_final
2020-11-22 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2020-11-22_final.stac-item
2020-12-18 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-12-18_final
2020-12-19 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-12-19_final
2020-12-22 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2020-12-22_final.stac-item
2020-12-25 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-12-25_final
2021-01-07 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-01-07_final
2021-01-27 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-27_final
2021-01-31 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-01-31_final
2021-04-17 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-17_final
2021-04-27 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-04-27_final
2021-05-14 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-05-14_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-03_final
2021-06-03 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-03_final
2021-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-07-23_final
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final.stac-item
2021-08-02 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-08-02_final
2021-08-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-08-15_final
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final
2021-10-15 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-10-15_final.stac-item
2021-11-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-30_final
2021-12-27 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2021-12-27_final
2021-12-30 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2021-12-30_final
2022-01-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2022-01-12_final
2022-01-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-01-16_final
2022-01-29 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-01-29_final
2022-03-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2022-03-03_final
2022-03-07 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-03-07_final
2022-03-13 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-03-14_final
2022-06-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-06-28_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-10-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2022-10-09_final.stac-item
2022-11-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-29_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
2022-12-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-12-29_final.stac-item
2023-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-01-04_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final.stac-item
2023-06-06 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-06_final.stac-item
2023-06-23 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-23_final.stac-item
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final.stac-item
2023-07-03 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-03_final.stac-item
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-01_final.stac-item
2023-10-01 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-01_final.stac-item
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final.stac-item
2023-10-24 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-10-24_final.stac-item
2023-10-25 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-10-25_final.stac-item
2023-10-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final.stac-item
2023-11-10 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-11-10_final.stac-item
2023-12-17 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2023-12-17_final.stac-item
2024-01-06 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-01-06_final.stac-item
2024-02-21 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-02-21_final.stac-item
2024-04-08 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-08_final.stac-item
2024-04-28 12:03:44	ga_s2bm_ard_3-2-1_49KHS_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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