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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-08-27 11:47:17	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-10-25_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-11-11_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-11-24_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGK_2017-12-01_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLJ_2017-12-08_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-12-15_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-12-21_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMG_2018-02-03_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMK_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGP_2018-09-10_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-09-30_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMH_2018-11-03_final
2018-11-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-06_final
2018-11-10 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-11-10_final
2018-11-29 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2018-11-29_final
2019-01-12 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-01-12_final
2019-01-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-01-19_final.stac-item
2019-02-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-02-18_final.stac-item
2019-02-25 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2019-02-25_final.stac-item
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final
2019-05-19 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-19_final.stac-item
2019-10-29 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-29_final
2019-11-11 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-11-11_final
2019-11-14 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-11-14_final
2019-11-21 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2019-11-21_final
2019-12-04 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-04_final
2019-12-05 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2019-12-05_final
2019-12-15 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-15_final.stac-item
2019-12-24 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-24_final
2019-12-31 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-31_final
2020-01-23 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2020-01-23_final
2020-02-02 12:13:33	ga_s2bm_ard_3-2-1_49KHS_2020-02-02_final.stac-item
2020-02-06 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-02-06_final
2020-04-22 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2020-04-22_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2020-05-19_final.stac-item
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-06-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-06-22_final
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-28_final
2020-07-01 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-01_final
2020-08-14 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-08-14_final
2020-08-27 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-27_final
2020-09-09 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-09-09_final
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-10-26 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-26_final
2020-11-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-11-05_final.stac-item
2020-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-11-28_final
2020-12-02 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2020-12-02_final
2020-12-25 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-12-25_final
2020-12-29 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-29_final
2021-01-11 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-01-11_final
2021-01-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-14_final
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final
2021-02-23 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-23_final
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final
2021-03-25 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-03-25_final
2021-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-29_final
2021-05-01 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-05-01_final
2021-05-08 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-05-08_final
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final
2021-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-06-13_final
2021-06-16 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-06-16_final
2021-06-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-26_final
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-08-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-08-12_final
2021-09-14 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2021-09-14_final.stac-item
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final
2021-11-03 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-11-03_final
2021-12-23 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-23_final
2022-02-09 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2022-02-09_final.stac-item
2022-10-16 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-16_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-12-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2022-12-19_final.stac-item
2022-12-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-12-22_final.stac-item
2022-12-25 12:03:44	ga_s2bm_ard_3-2-1_49KHS_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
2023-01-28 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-28_final.stac-item
2023-02-27 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-02-27_final.stac-item
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final.stac-item
2023-07-03 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-03_final.stac-item
2023-07-06 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-06_final.stac-item
2023-08-16 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2023-08-16_final.stac-item
2023-11-27 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2023-11-27_final.stac-item
2023-12-10 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-12-10_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2024-01-06 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2024-01-06_final.stac-item
2024-01-12 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2024-01-12_final.stac-item
2024-01-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-01-19_final.stac-item
2024-01-22 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-01-22_final.stac-item
2024-02-01 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-02-01_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

All years