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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HMG_2017-07-11_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-11_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMH_2017-12-25_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHS_2018-01-10_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPK_2018-02-03_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-12_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-03-14_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPK_2018-04-04_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMK_2018-05-24_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-06-09_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMH_2018-08-02_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final
2018-12-19 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2018-12-19_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2019-01-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-01-06_final
2019-01-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-25_final
2019-03-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-03-26_final
2019-04-06 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2019-04-06_final.stac-item
2019-04-15 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2019-04-15_final
2019-04-26 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-04-26_final
2019-04-26 11:37:33	ga_s2bm_ard_3-2-1_50HNG_2019-04-26_final.stac-item
2019-05-06 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-05-06_final.stac-item
2019-06-18 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-18_final.stac-item
2019-08-04 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-08-04_final
2019-08-04 11:37:14	ga_s2bm_ard_3-2-1_50HPH_2019-08-04_final
2019-08-07 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-08-07_final.stac-item
2019-08-13 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-08-13_final
2019-08-13 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-08-13_final
2019-10-22 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-22_final
2019-11-02 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-11-02_final
2019-11-11 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-11-11_final
2019-11-14 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-11-14_final
2019-11-15 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-11-15_final.stac-item
2019-11-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2019-11-22_final
2019-11-25 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2019-11-25_final
2020-01-13 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-01-13_final
2020-02-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-02-16_final
2020-10-19 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-19_final
2020-10-29 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-10-29_final
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final
2020-11-26 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2020-11-26_final.stac-item
2021-01-07 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-01-07_final
2021-01-17 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-01-28 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-01-28_final
2021-02-27 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-27_final
2021-04-05 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-04-05_final
2021-04-17 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-04-17_final
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final
2021-06-07 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-07_final.stac-item
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final.stac-item
2021-06-17 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-17_final
2021-06-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-26_final
2021-07-03 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-07-03_final
2021-07-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-07-06_final
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-23_final
2021-08-06 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-08-06_final
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-08-12_final
2021-09-04 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2021-09-04_final
2021-10-15 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-10-15_final
2021-11-01 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-11-01_final
2021-12-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-12-07_final
2021-12-13 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-12-13_final
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-02-18 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2022-02-18_final
2022-04-19 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2022-04-19_final
2022-04-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-04-19_final
2022-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-05-20_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-11 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-11_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-18_final.stac-item
2022-09-06 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-06_final.stac-item
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-12-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-12-25_final.stac-item
2023-01-05 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-05_final.stac-item
2023-02-03 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-02-03_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final.stac-item
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final.stac-item
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-06-13_final.stac-item
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-08-02_final.stac-item
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-15_final.stac-item
2023-09-21 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-09-21_final.stac-item
2023-09-25 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-09-25_final.stac-item
2023-10-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-12-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-04_final.stac-item
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final.stac-item
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_final.stac-item
2024-01-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2024-01-29_final.stac-item
2024-02-08 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-02-08_final.stac-item
2024-03-20 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-03-20_final.stac-item
2024-04-11 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-04-11_final.stac-item
2024-04-12 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-04-12_final.stac-item
2024-04-28 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-04-28_final.stac-item
2024-05-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-05-11_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

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