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_49JGM_2017-07-24_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-12-11_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-12-18_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLJ_2017-12-28_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2018-02-10_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-19_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMJ_2018-03-08_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMJ_2018-03-18_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMK_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-04-13_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-04-23_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-05-10_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-05-23_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLJ_2018-07-16_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPK_2018-07-23_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMH_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-09-11_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHP_2018-09-17_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNG_2018-09-21_final.stac-item
2018-12-23 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2018-12-23_final.stac-item
2019-01-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-01-05_final.stac-item
2019-01-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-01-08_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-01-28 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-01-28_final
2019-03-03 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2019-03-03_final
2019-04-06 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2019-04-06_final
2019-05-19 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-19_final
2019-05-22 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-05-22_final
2019-05-25 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-25_final
2019-05-29 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-29_final
2019-06-01 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-06-01_final
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final
2019-06-08 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-06-08_final
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final
2019-11-15 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-11-15_final
2019-11-15 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-11-15_final.stac-item
2019-12-15 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-15_final
2020-01-04 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-04_final
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final
2020-02-26 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-02-26_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-03-24 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-24_final.stac-item
2020-04-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-04-23_final
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-07-08_final.stac-item
2020-07-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-07-08_final
2020-07-19 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-07-19_final
2020-08-01 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-08-01_final.stac-item
2020-10-13 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-10-13_final
2020-10-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-10-26_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final
2020-11-18 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-11-18_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-11-22_final.stac-item
2020-12-19 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-19_final
2020-12-25 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-12-25_final
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final.stac-item
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final
2021-03-02 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-03-02_final.stac-item
2021-03-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-03-19_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final.stac-item
2021-05-01 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2021-05-01_final.stac-item
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-05-24_final
2021-05-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-05-27_final
2021-06-04 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-04_final.stac-item
2021-06-23 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-06-23_final
2021-07-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-07-04_final
2021-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-07-07_final
2021-11-01 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-11-01_final.stac-item
2021-12-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-04_final
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final
2022-04-30 11:37:20	ga_s2bm_ard_3-2-1_50HNG_2022-04-30_final.stac-item
2022-11-05 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-11-05_final.stac-item
2022-11-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-11-18_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-04-24 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final.stac-item
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final.stac-item
2023-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-07-07_final.stac-item
2023-09-02 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-09-02_final.stac-item
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final.stac-item
2023-11-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-11-17_final.stac-item
2023-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-11-27_final.stac-item
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final.stac-item
2024-01-23 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-01-23_final.stac-item
2024-02-09 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2024-02-09_final.stac-item
2024-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2024-02-12_final.stac-item
2024-02-22 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-02-22_final.stac-item
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_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