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
2017-07-07 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-07_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KGR_2017-07-17_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JHM_2017-07-24_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHQ_2017-10-22_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGL_2017-12-31_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-05-20_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-06-19_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHR_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGN_2018-07-29_final
2019-04-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2019-04-09_final
2019-06-14 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-06-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-06-27_final
2019-07-24 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-07-24_final
2019-07-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-24_final
2019-08-03 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-08-03_final
2019-08-06 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-08-06_final
2019-09-22 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-09-22_final
2019-09-29 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-09-29_final
2020-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-24_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-05-19 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-05-19_final
2020-07-28 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-07-28_final
2020-07-31 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-07-31_final
2020-09-10 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-09-10_final
2020-11-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final
2021-01-01 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-01-01_final
2021-04-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-04-04_final
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-03-10_final.stac-item
2022-06-01 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-06-01_final
2022-11-05 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-11-05_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final.stac-item
2023-04-11 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-11_final.stac-item
2023-05-04 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2023-05-04_final.stac-item
2023-05-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final.stac-item
2023-05-17 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-17_final.stac-item
2023-05-27 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-27_final.stac-item
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final.stac-item
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-03_final.stac-item
2023-06-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-06-16_final.stac-item
2023-07-13 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-07-13_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-07-13_final.stac-item
2023-07-23 12:04:38	ga_s2bm_ard_3-2-1_49KHP_2023-07-23_final.stac-item
2023-08-05 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-08-05_final.stac-item
2023-08-15 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-08-15_final.stac-item
2023-08-16 11:47:20	ga_s2bm_ard_3-2-1_50HLH_2023-08-16_final.stac-item
2023-08-25 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-08-25_final.stac-item
2023-08-25 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-08-25_final.stac-item
2023-08-26 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-08-26_final.stac-item
2023-09-01 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-09-01_final.stac-item
2023-09-11 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-11_final.stac-item
2023-09-14 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-14_final.stac-item
2023-09-21 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-21_final.stac-item
2023-09-24 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-09-24_final.stac-item
2023-10-01 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-10-01_final.stac-item
2023-10-11 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2023-10-11_final.stac-item
2023-10-11 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-11_final.stac-item
2023-10-11 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2023-10-11_final.stac-item
2023-10-14 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-10-14_final.stac-item
2023-10-14 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2023-10-14_final.stac-item
2023-10-21 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-10-21_final.stac-item
2023-10-21 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-21_final.stac-item
2023-10-24 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-10-24_final.stac-item
2023-10-31 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-10-31_final.stac-item
2023-10-31 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-10-31_final.stac-item
2023-10-31 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-31_final.stac-item
2023-11-03 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-11-03_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-30 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-11-30_final.stac-item
2023-12-03 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2023-12-03_final.stac-item
2023-12-10 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2023-12-10_final.stac-item
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final.stac-item
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final.stac-item
2024-01-02 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2024-01-02_final.stac-item
2024-01-02 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-01-02_final.stac-item
2024-01-09 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2024-01-09_final.stac-item
2024-01-09 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2024-01-09_final.stac-item
2024-01-19 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2024-01-19_final.stac-item
2024-01-22 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-01-22_final.stac-item
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final.stac-item
2024-02-18 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2024-02-18_final.stac-item
2024-02-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-02-18_final.stac-item
2024-02-28 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final.stac-item
2024-02-28 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2024-02-28_final.stac-item
2024-03-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-03-02_final.stac-item
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final.stac-item
2024-03-09 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2024-03-09_final.stac-item
2024-03-22 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-03-22_final.stac-item
2024-03-22 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-03-22_final.stac-item
2024-03-29 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-29_final.stac-item
2024-03-29 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-03-29_final.stac-item
2024-04-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-04-08_final.stac-item
2024-04-11 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-04-11_final.stac-item
2024-04-18 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2024-04-18_final.stac-item
2024-04-18 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2024-04-18_final.stac-item
2024-04-28 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-04-28_final.stac-item
2024-05-01 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-05-01_final.stac-item
2024-05-18 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-05-18_final.stac-item
2024-05-28 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-05-28_nrt.stac-item
2024-05-31 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-05-31_nrt.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