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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HPK_2017-09-03_final
2017-09-25 12:13:30	ga_s2bm_ard_3-2-1_49KHR_2017-09-25_final
2017-10-06 11:47:02	ga_s2bm_ard_3-2-1_50HMG_2017-10-06_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMG_2017-12-08_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPJ_2018-01-11_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLJ_2018-02-06_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLP_2018-02-19_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKT_2018-03-31_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPJ_2018-04-01_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLL_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-06-19_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HQG_2018-07-30_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HMG_2018-08-15_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPG_2018-08-19_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-12-19 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2018-12-19_final
2018-12-29 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-12-29_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-01-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-01-25_final
2019-01-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-28_final
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-02-24 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-02-24_final.stac-item
2019-04-15 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2019-04-15_final.stac-item
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final
2019-06-01 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-06-01_final
2019-06-11 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-11_final.stac-item
2019-08-17 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final
2020-04-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-04-13_final.stac-item
2020-06-12 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-06-12_final
2020-08-17 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-17_final
2020-10-23 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-10-23_final
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final
2020-10-26 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-10-26_final
2020-10-26 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-26_final
2020-10-27 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-10-27_final
2020-11-02 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-11-02_final
2020-11-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-11-05_final.stac-item
2020-11-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-11-08_final
2020-11-19 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-11-19_final.stac-item
2020-11-29 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2020-11-29_final.stac-item
2020-12-18 12:13:47	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final
2020-12-18 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-12-18_final
2020-12-19 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2020-12-19_final.stac-item
2020-12-25 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-12-25_final
2021-01-18 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-18_final
2021-01-21 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-01-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-01-25_final
2021-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-02-16_final.stac-item
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-02-16_final
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final
2021-03-25 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-03-25_final
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final
2021-04-25 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-04-25_final
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-05-21 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-05-21_final
2021-06-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-06-13_final
2021-06-17 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-06-17_final.stac-item
2021-06-24 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-06-24_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-30_final
2021-07-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-07-03_final
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final
2021-08-03 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-08-03_final
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final.stac-item
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-12-01 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-12-01_final.stac-item
2021-12-07 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2021-12-07_final
2021-12-07 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-07_final
2021-12-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-07_final
2022-01-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-01-13_final.stac-item
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-05-19_final.stac-item
2022-08-27 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-08-27_final
2022-09-27 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-09-27_final.stac-item
2022-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2022-11-22_final.stac-item
2023-01-08 13:21:35	ga_s2bm_ard_3-2-1_47LKH_2023-01-08_interim.stac-item
2023-01-11 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2023-01-11_final.stac-item
2023-01-21 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-04-24 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-09-05 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-09-05_final.stac-item
2023-10-12 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-10-12_final.stac-item
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final.stac-item
2023-11-10 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-11-10_final.stac-item
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final.stac-item
2023-12-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-12-13_final.stac-item
2023-12-30 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-12-30_final.stac-item
2024-01-22 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-01-22_final.stac-item
2024-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2024-01-23_final.stac-item
2024-02-02 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-02_final.stac-item
2024-04-29 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-04-29_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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