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_49JGN_2017-07-04_final.stac-item
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HQK_2017-07-05_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2017-07-17_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-08_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMJ_2017-11-08_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KGQ_2017-11-11_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQG_2017-11-22_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPK_2017-12-12_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-21_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMH_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-02-02_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPH_2018-02-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMJ_2018-02-13_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMK_2018-04-04_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQJ_2018-05-04_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-08-21_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMH_2018-10-11_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGN_2018-10-17_final
2018-12-10 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2018-12-10_final
2019-03-13 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2019-03-13_final
2019-03-19 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-03-19_final
2019-03-29 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2019-03-29_final
2019-03-30 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2019-03-30_final
2019-04-05 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2019-04-05_final
2019-05-06 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-05-06_final.stac-item
2019-06-01 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-06-01_final
2019-06-05 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-06-05_final.stac-item
2019-07-18 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-18_final
2019-08-07 11:46:37	ga_s2bm_ard_3-2-1_50HQK_2019-08-07_final
2019-10-03 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2019-10-03_final.stac-item
2019-10-12 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2019-10-12_final
2019-10-19 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-19_final
2019-11-15 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2019-11-15_final
2019-11-25 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2019-11-25_final
2019-12-02 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2019-12-02_final
2019-12-12 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2019-12-12_final.stac-item
2019-12-15 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-15_final
2019-12-21 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2019-12-21_final
2019-12-31 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2019-12-31_final
2020-01-01 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-01-01_final.stac-item
2020-02-09 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-02-09_final
2020-02-29 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-02-29_final
2020-03-11 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2020-03-11_final
2020-04-09 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-04-09_final
2020-04-20 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2020-04-20_final
2020-07-09 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-07-09_final
2020-10-13 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2020-10-13_final
2020-11-12 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2020-11-12_final
2020-12-19 11:46:21	ga_s2bm_ard_3-2-1_50HQK_2020-12-19_final
2021-01-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-01-24_final
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final
2021-03-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-03-15_final.stac-item
2021-04-04 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-04-04_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final
2021-04-18 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-04-18_final
2021-05-01 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2021-05-01_final
2021-05-28 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-05-28_final
2021-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-06-16_final
2021-06-30 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-30_final
2021-10-21 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-10-21_final
2021-10-28 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-10-28_final.stac-item
2021-12-04 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final
2021-12-20 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2021-12-20_final
2022-01-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-01-16_final
2022-01-23 11:46:57	ga_s2bm_ard_3-2-1_50HMH_2022-01-23_final
2022-01-30 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-01-30_final
2022-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2022-02-05_final
2022-02-19 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2022-02-19_final
2022-03-04 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2022-03-04_final
2022-03-30 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-03-30_final
2022-07-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-25_final
2022-08-07 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2022-08-07_final
2022-09-16 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-09-16_final.stac-item
2022-09-23 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2022-09-23_final.stac-item
2022-11-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-11-16_final.stac-item
2022-12-02 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2022-12-02_final.stac-item
2023-01-04 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-04_final.stac-item
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-02-13_final.stac-item
2023-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-17_final.stac-item
2023-03-06 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-03-06_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-25_final.stac-item
2023-05-01 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-05-01_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-05-04_final.stac-item
2023-05-15 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-05-15_final.stac-item
2023-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-06-13_final.stac-item
2023-07-26 12:14:27	ga_s2bm_ard_3-2-1_49KHP_2023-07-26_final.stac-item
2023-08-16 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-08-16_final.stac-item
2023-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2023-09-28_final.stac-item
2023-11-20 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-20_final.stac-item
2023-11-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2023-11-24_final.stac-item
2023-11-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2023-11-24_final.stac-item
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final.stac-item
2024-01-26 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-26_final.stac-item
2024-02-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-02-22_final.stac-item
2024-03-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2024-03-20_final.stac-item
2024-04-05 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2024-04-05_final.stac-item
2024-04-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-04-18_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