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
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2017-09-12_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JGM_2017-10-15_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHS_2017-11-11_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMG_2017-11-15_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-12-24_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMJ_2018-01-14_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JFM_2018-01-23_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-02-22_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPK_2018-02-23_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGM_2018-04-13_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMG_2018-04-14_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-04-23_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-06-23_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HNK_2018-07-06_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final
2018-11-17 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2018-11-17_final
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final
2018-12-27 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2018-12-27_final.stac-item
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final
2019-01-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-01-05_final
2019-01-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-01-15_final
2019-01-25 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-01-25_final
2019-02-01 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-01_final
2019-02-08 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-08_final
2019-03-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-03-26_final
2019-04-16 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-04-16_final
2019-06-18 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-18_final
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-06-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-06-27_final
2019-07-28 11:47:01	ga_s2bm_ard_3-2-1_50HNJ_2019-07-28_final
2019-10-09 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-09_final
2019-10-26 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2019-10-26_final.stac-item
2019-11-15 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-11-15_final
2019-12-15 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2019-12-15_final.stac-item
2019-12-18 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-18_final
2019-12-21 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-21_final
2019-12-24 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2019-12-24_final
2020-01-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2020-01-10_final.stac-item
2020-02-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2020-02-12_final
2020-04-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-04-13_final
2020-06-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-06-05_final
2020-07-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-07-29_final
2020-08-24 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-08-24_final
2020-09-19 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-09-19_final
2020-11-15 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-11-15_final
2020-11-18 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-11-18_final
2020-11-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2020-11-25_final
2020-12-08 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-08_final
2020-12-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-12-08_final
2020-12-25 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-12-25_final
2021-01-01 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-01-01_final
2021-01-07 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-07_final
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final
2021-01-28 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-01-28_final.stac-item
2021-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-14_final
2021-02-17 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-02-17_final.stac-item
2021-02-27 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-27_final
2021-03-08 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-08_final
2021-05-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-05-08_final
2021-05-11 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-05-11_final
2021-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-06-14_final
2021-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-17_final
2021-08-02 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-02_final
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-10-14 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-10-14_final
2021-11-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-11-04_final
2022-02-09 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-02-09_final.stac-item
2022-02-11 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-11_final
2022-02-18 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-02-18_final
2022-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-24_final
2022-04-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-04-19_final
2022-08-31 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-31_final
2022-11-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-08_final.stac-item
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2023-02-23_final.stac-item
2023-03-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-03-09_final.stac-item
2023-04-07 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-04-07_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-07_final.stac-item
2023-06-07 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-06-07_final.stac-item
2023-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-06-17_final.stac-item
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final.stac-item
2023-07-03 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-07-03_final.stac-item
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final.stac-item
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final.stac-item
2023-09-24 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-09-24_final.stac-item
2023-09-25 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-09-25_final.stac-item
2023-10-22 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-22_final.stac-item
2023-10-31 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-31_final.stac-item
2023-11-24 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2023-11-24_final.stac-item
2024-01-03 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-01-03_final.stac-item
2024-01-06 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2024-01-06_final.stac-item
2024-02-02 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-02_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-02-08_final.stac-item
2024-03-19 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-19_final.stac-item
2024-03-29 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-03-29_final.stac-item
2024-05-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-05-12_interim.stac-item
2024-05-12 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-05-12_interim.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