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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHS_2017-07-24_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HLH_2017-08-27_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHQ_2017-09-12_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGN_2017-10-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGN_2017-12-01_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-01-23_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-02-12_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-02-22_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGN_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGQ_2018-03-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-03-24_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-04-03_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGL_2018-05-13_final
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_49JGN_2018-06-29_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGM_2018-08-08_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGJ_2018-08-18_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGL_2018-08-18_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-08-28_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGN_2018-09-17_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-09-20_final.stac-item
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final
2018-11-29 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2018-11-29_final
2018-12-16 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2018-12-16_final
2018-12-26 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-12-26_final
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final.stac-item
2019-03-10 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2019-03-10_final.stac-item
2019-05-15 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-24_final
2019-08-23 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2019-08-23_final
2019-11-11 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-11-11_final.stac-item
2019-11-24 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-11-24_final
2019-12-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-12-28_final
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final
2020-01-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-01-10_final
2020-01-23 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-01-23_final
2020-03-04 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-04_final
2020-03-23 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-03-23_final
2020-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-24_final
2020-05-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2020-05-19_final
2020-06-08 12:05:22	ga_s2bm_ard_3-2-1_49JGL_2020-06-08_final
2020-06-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-28_final
2020-07-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-18_final
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-09-19 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-09-19_final
2020-09-23 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2020-09-23_final.stac-item
2020-11-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-11-05_final
2020-12-25 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-12-25_final
2020-12-25 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-12-25_final
2020-12-28 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-28_final
2021-01-07 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-01-07_final
2021-01-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-01-24_final
2021-01-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-24_final
2021-02-16 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-16_final
2021-02-20 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-02-20_final
2021-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-03-05_final
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final
2021-03-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-12_final
2021-03-15 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2021-03-15_final
2021-04-04 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2021-04-04_final
2021-04-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-04-04_final
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-05-14_final
2021-06-16 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-16_final
2021-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-06-17_final
2021-06-26 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-06-26_final
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final
2021-07-03 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-07-03_final
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-27 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-27_final
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final
2021-08-02 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-08-02_final
2021-08-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-08-06_final
2021-08-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-08-09_final.stac-item
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-08-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-08-22_final
2021-11-24 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2021-11-24_final
2021-12-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-03_final
2021-12-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-12-07_final
2022-02-21 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-21_final
2022-02-28 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-02-28_final
2022-03-13 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-07-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-21_final
2022-08-17 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-08-17_final
2023-02-27 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2023-02-27_final.stac-item
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-06-13_final.stac-item
2023-08-19 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-08-19_final.stac-item
2023-08-22 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-22_final.stac-item
2023-10-28 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final.stac-item
2023-11-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2023-11-24_final.stac-item
2023-12-30 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-30_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