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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHQ_2017-07-04_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2017-07-17_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHM_2017-08-03_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2017-08-03_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHS_2017-10-12_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLK_2017-12-28_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-01-03_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2018-03-21_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGL_2018-03-31_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMJ_2018-04-14_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMH_2018-05-17_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-06-09_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-14_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-09-20_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLJ_2018-10-04_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2018-12-23 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2018-12-23_final
2019-02-17 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2019-02-17_final
2019-03-19 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-03-19_final
2019-05-02 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-05-02_final
2019-05-05 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-05_final
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final
2019-06-17 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-17_final
2019-06-21 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-06-21_final
2019-06-24 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-06-24_final
2019-08-03 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-08-03_final.stac-item
2019-09-02 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-09-02_final
2019-09-06 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2019-09-06_final
2019-09-22 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-09-22_final.stac-item
2019-09-29 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-09-29_final
2019-12-15 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-15_final.stac-item
2020-02-09 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-02-09_final
2020-03-20 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-03-20_final
2020-03-30 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2020-03-30_final
2020-04-09 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-04-09_final
2020-04-26 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-04-26_final
2020-04-29 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-29_final
2020-05-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-05-06_final
2020-05-22 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-05-22_final
2020-07-08 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-07-08_final
2020-07-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-07-31 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-31_final
2020-08-07 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-07_final.stac-item
2020-10-23 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-23_final
2020-10-30 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-30_final
2021-02-20 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-02-20_final
2021-03-29 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-03-29_final
2021-04-04 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2021-04-04_final
2021-04-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2021-04-07_final
2021-05-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final
2021-06-16 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-16_final
2021-08-02 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final
2021-08-09 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-08-09_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-10-18 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-10-18_final
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2022-01-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2022-01-19_final
2022-02-18 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2022-02-18_final
2022-04-12 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-04-12_final
2022-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-04-16_final
2022-04-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-04-16_final
2022-04-22 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2022-04-22_final
2022-04-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-04-26_final
2022-05-26 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-05-26_final
2022-06-28 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-06-28_final.stac-item
2022-08-07 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-08-07_final
2022-08-11 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2022-08-11_final
2022-09-06 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-06_final.stac-item
2023-01-11 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-01-11_final.stac-item
2023-01-21 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-01-21_final.stac-item
2023-04-17 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-04-17_final.stac-item
2023-06-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-06-10_final.stac-item
2023-06-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-26_final.stac-item
2023-06-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-30_final.stac-item
2023-07-06 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-06_final.stac-item
2023-08-05 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-08-05_final.stac-item
2023-08-05 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-08-05_final.stac-item
2023-08-09 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-08-09_final.stac-item
2023-08-22 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-08-22_final.stac-item
2023-08-25 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-08-25_final.stac-item
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final.stac-item
2023-09-05 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-09-05_final.stac-item
2023-09-24 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-24_final.stac-item
2023-09-24 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-24_final.stac-item
2023-09-25 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-09-25_final.stac-item
2023-10-14 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-10-14_final.stac-item
2023-11-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2023-11-23_final.stac-item
2023-12-03 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-12-03_final.stac-item
2023-12-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-12-13_final.stac-item
2024-01-02 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-01-02_final.stac-item
2024-01-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2024-01-12_final.stac-item
2024-02-08 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2024-02-08_final.stac-item
2024-02-18 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2024-02-18_final.stac-item
2024-02-21 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-02-21_final.stac-item
2024-02-28 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2024-02-28_final.stac-item
2024-03-12 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2024-03-12_final.stac-item
2024-03-29 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-29_final.stac-item
2024-04-18 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2024-04-18_final.stac-item
2024-04-28 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2024-04-28_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