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 12:04:34	ga_s2bm_ard_3-2-1_50JKT_2017-07-04_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2017-08-06_final
2017-10-06 11:47:02	ga_s2bm_ard_3-2-1_50HNG_2017-10-06_final.stac-item
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-13_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-14_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQH_2017-11-22_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-12-11_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-24_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNJ_2018-02-03_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2018-02-10_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKN_2018-03-11_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPH_2018-04-21_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-05-14_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HMH_2018-08-15_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPK_2018-08-19_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGM_2018-08-21_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGN_2018-09-17_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KGQ_2018-09-20_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HMG_2018-10-11_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKP_2018-10-17_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50HQH_2018-10-28_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLG_2018-11-03_final.stac-item
2018-12-26 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2018-12-26_final
2019-02-25 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-02-25_final
2019-03-30 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2019-03-30_final
2019-04-06 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2019-04-06_final.stac-item
2019-05-09 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-09_final
2019-06-04 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-04_final
2019-06-24 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-06-24_final
2019-06-28 11:46:38	ga_s2bm_ard_3-2-1_50HQK_2019-06-28_final
2019-07-08 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-08_final
2019-09-05 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2019-09-05_final
2019-10-02 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-10-02_final
2019-10-29 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2019-10-29_final
2019-11-08 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-11-08_final
2019-11-25 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2019-11-25_final
2019-12-02 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2019-12-02_final
2019-12-05 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2019-12-05_final
2019-12-24 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-24_final
2020-01-03 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-03_final
2020-02-06 11:55:40	ga_s2bm_ard_3-2-1_50JKP_2020-02-06_final
2020-02-23 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2020-02-23_final
2020-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2020-04-16_final
2020-05-03 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2020-05-03_final.stac-item
2020-05-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-05-22_final
2020-06-25 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-06-25_final
2020-06-28 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-28_final
2020-07-11 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-07-11_final
2020-07-12 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-07-12_final
2020-07-22 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-07-22_final
2020-09-03 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-09-03_final
2020-11-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2020-11-26_final
2020-12-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-12-08_final
2021-01-04 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-01-04_final
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final
2021-04-05 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-04-05_final
2021-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-05-14_final
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final
2021-11-27 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2021-11-27_final
2022-01-03 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2022-01-03_final
2022-01-23 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-01-23_final
2022-01-29 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-01-29_final
2022-02-15 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-02-15_final
2022-02-22 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-02-22_final
2022-07-08 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-08_final
2022-07-22 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2022-07-22_final
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-10-20 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-10-20_final.stac-item
2022-10-26 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-10-26_final.stac-item
2022-10-27 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-10-27_final.stac-item
2022-11-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-11-15_final.stac-item
2022-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-12-12_final.stac-item
2023-02-24 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2023-02-24_final.stac-item
2023-03-15 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final.stac-item
2023-04-04 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-04-04_final.stac-item
2023-04-21 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-21_final.stac-item
2023-05-07 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-05-07_final.stac-item
2023-05-08 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-05-08_final.stac-item
2023-06-10 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-06-10_final.stac-item
2023-06-17 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-17_final.stac-item
2023-06-20 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-06-20_final.stac-item
2023-07-07 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-07_final.stac-item
2023-08-29 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-08-29_final.stac-item
2023-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2023-10-05_final.stac-item
2023-10-15 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-10-15_final.stac-item
2023-12-13 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-12-13_final.stac-item
2023-12-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-12-17_final.stac-item
2024-01-23 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2024-01-23_final.stac-item
2024-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2024-01-30_final.stac-item
2024-02-01 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-02-01_final.stac-item
2024-02-02 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-02-02_final.stac-item
2024-03-02 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2024-03-02_final.stac-item
2024-03-26 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2024-03-26_final.stac-item
2024-03-26 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-03-26_final.stac-item
2024-03-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2024-03-29_final.stac-item
2024-04-15 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2024-04-15_final.stac-item
2024-04-29 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-04-29_final.stac-item
2024-05-08 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2024-05-08_final.stac-item
2024-05-08 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-05-08_final.stac-item
2024-05-18 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_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