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
2017-08-16 12:14:39	ga_s2bm_ard_3-2-1_49JFM_2017-08-16_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHM_2017-09-12_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-11-21_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-12-11_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHS_2018-01-10_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-01-13_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMJ_2018-01-14_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQK_2018-03-22_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-04-13_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMK_2018-05-04_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-05-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKQ_2018-05-20_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-05-23_final.stac-item
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGL_2018-05-23_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HQH_2018-05-24_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHQ_2018-07-09_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2018-09-27_final
2018-12-03 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2018-12-03_final
2018-12-20 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-12-20_final
2018-12-30 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2018-12-30_final
2019-01-19 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-19_final
2019-02-04 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-02-04_final
2019-03-26 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-03-26_final
2019-08-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-08-06_final
2019-08-27 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2019-08-27_final
2019-09-16 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-09-16_final
2019-09-25 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-09-25_final
2019-10-19 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-19_final
2019-11-18 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2019-11-18_final
2020-01-01 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2020-01-01_final
2020-01-30 12:04:11	ga_s2bm_ard_3-2-1_49KGQ_2020-01-30_final
2020-02-20 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-02-20_final.stac-item
2020-02-29 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-02-29_final
2020-03-11 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2020-03-11_final
2020-04-26 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-04-26_final
2020-05-12 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2020-05-12_final
2020-06-08 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-08_final
2020-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2020-09-23_final
2020-10-16 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-10-16_final
2020-10-30 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-30_final
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final
2020-11-16 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-11-16_final
2020-11-19 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2020-11-19_final
2021-02-26 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2021-02-26_final
2021-03-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-08_final
2021-03-15 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-03-15_final
2021-03-19 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-03-19_final
2021-04-04 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-04-04_final
2021-04-04 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2021-04-04_final
2021-04-07 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2021-04-07_final
2021-05-11 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-05-11_final
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final.stac-item
2021-08-12 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-08-12_final
2021-11-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2021-11-27_final.stac-item
2022-01-02 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2022-01-02_final
2022-01-29 12:05:20	ga_s2bm_ard_3-2-1_50JKQ_2022-01-29_final
2022-02-09 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2022-02-09_final
2022-05-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-16_final
2022-05-26 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-05-26_final
2022-06-28 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-06-28_final
2022-07-02 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-02_final
2022-07-11 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-07-11_final
2022-10-10 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-10-10_final.stac-item
2022-11-22 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-11-22_final.stac-item
2022-11-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-11-25_final.stac-item
2023-01-04 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-01-04_final.stac-item
2023-01-14 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2023-01-14_final.stac-item
2023-01-24 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-01-24_final.stac-item
2023-01-28 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-28_final.stac-item
2023-02-10 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-02-10_final.stac-item
2023-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2023-02-13_final.stac-item
2023-03-09 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-03-09_final.stac-item
2023-03-12 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-03-12_final.stac-item
2023-04-04 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-04-04_final.stac-item
2023-06-07 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-07_final.stac-item
2023-07-03 12:04:38	ga_s2bm_ard_3-2-1_49KHP_2023-07-03_final.stac-item
2023-07-16 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2023-07-16_final.stac-item
2023-07-17 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2023-07-17_final.stac-item
2023-08-26 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2023-08-26_final.stac-item
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final.stac-item
2023-10-05 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2023-10-05_final.stac-item
2023-11-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2023-11-20_final.stac-item
2023-11-20 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-11-20_final.stac-item
2023-12-20 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-12-20_final.stac-item
2023-12-31 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-12-31_final.stac-item
2024-01-20 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-01-20_final.stac-item
2024-02-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-21_final.stac-item
2024-02-28 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final.stac-item
2024-03-03 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2024-03-03_final.stac-item
2024-03-16 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2024-03-16_final.stac-item
2024-03-16 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-03-16_final.stac-item
2024-03-29 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2024-03-29_final.stac-item
2024-04-02 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2024-04-02_final.stac-item
2024-04-08 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2024-04-08_final.stac-item
2024-04-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-04-15_final.stac-item
2024-04-28 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2024-04-28_final.stac-item
2024-05-18 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2024-05-18_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