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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50HMK_2017-07-11_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGN_2017-10-02_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HQK_2017-10-06_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JHM_2017-10-12_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-11-21_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMH_2018-01-04_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMJ_2018-02-13_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQG_2018-03-02_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQK_2018-03-12_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-03-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHM_2018-04-20_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNH_2018-05-04_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKR_2018-05-30_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HMH_2018-06-16_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGN_2018-07-09_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-12_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-10-27_final
2018-12-03 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2018-12-03_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-02-01 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-01_final
2019-02-28 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-02-28_final
2019-03-30 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2019-03-30_final
2019-04-26 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-04-26_final.stac-item
2019-04-28 12:15:03	ga_s2bm_ard_3-2-1_49JGM_2019-04-28_final
2019-06-28 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-06-28_final
2019-08-06 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2019-08-06_final
2019-08-17 11:47:16	ga_s2bm_ard_3-2-1_50HMH_2019-08-17_final
2019-09-25 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-09-25_final
2019-10-03 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-03_final.stac-item
2019-10-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-13_final.stac-item
2019-10-25 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-25_final
2019-10-26 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-10-26_final
2019-11-12 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-11-12_final
2019-11-15 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-11-15_final
2019-11-25 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2019-11-25_final
2019-11-25 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2019-11-25_final
2019-12-11 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-11_final.stac-item
2020-01-04 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-01-04_final.stac-item
2020-01-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2020-01-10_final.stac-item
2020-01-20 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2020-01-20_final
2020-01-24 11:47:07	ga_s2bm_ard_3-2-1_50HLH_2020-01-24_final
2020-02-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2020-02-16_final
2020-03-20 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-03-20_final
2020-03-24 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-24_final
2020-04-20 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2020-04-20_final
2020-06-25 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2020-06-25_final
2020-10-06 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-10-06_final
2020-12-19 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-12-19_final
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2020-12-29 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-29_final
2021-01-24 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-01-24_final
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-03-05_final
2021-05-07 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-05-07_final
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2021-07-03_final
2021-07-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-07-03_final
2021-09-11 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-09-11_final
2021-10-15 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-10-15_final.stac-item
2021-11-03 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-11-03_final
2021-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-11-27_final
2021-12-10 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2021-12-10_final
2021-12-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2021-12-24_final
2022-01-30 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-01-30_final
2022-02-05 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2022-02-05_final
2022-03-10 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-10_final
2022-03-20 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-03-20_final
2022-03-20 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2022-03-20_final
2022-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-04-22 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2022-04-22_final
2022-06-05 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-06-05_final
2022-06-28 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-06-28_final
2022-07-11 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2022-07-11_final
2022-08-21 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-21_final.stac-item
2022-08-31 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2022-08-31_final
2022-09-26 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-09-26_final.stac-item
2022-09-30 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-09-30_final.stac-item
2022-11-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-22_final.stac-item
2022-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-11-22 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-11-22_final.stac-item
2023-01-17 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-01-17_final.stac-item
2023-02-07 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2023-02-07_final.stac-item
2023-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-03-05_final.stac-item
2023-03-25 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-03-25_final.stac-item
2023-03-25 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-03-25_final.stac-item
2023-05-24 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-05-24_final.stac-item
2023-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-08-06_final.stac-item
2023-08-16 11:47:20	ga_s2bm_ard_3-2-1_50HLH_2023-08-16_final.stac-item
2023-08-23 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_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 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-09-01_final.stac-item
2023-10-02 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-02_final.stac-item
2023-11-20 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2023-11-20_final.stac-item
2023-12-14 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2023-12-14_final.stac-item
2024-01-29 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2024-01-29_final.stac-item
2024-02-02 11:46:58	ga_s2bm_ard_3-2-1_50HNH_2024-02-02_final.stac-item
2024-02-09 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2024-02-09_final.stac-item
2024-02-18 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2024-02-18_final.stac-item
2024-02-22 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-02-22_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