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
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-05_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLH_2017-09-16_final
2017-10-06 11:47:02	ga_s2bm_ard_3-2-1_50HMG_2017-10-06_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGJ_2017-11-01_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-11-04_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-14_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGK_2017-11-21_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-01-13_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-20_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-04-13_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGM_2018-06-02_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLH_2018-10-14_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHR_2018-10-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-10-27_final.stac-item
2018-11-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-06_final
2018-11-23 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2018-11-23_final
2018-12-09 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-09_final
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final
2019-01-12 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2019-01-12_final.stac-item
2019-01-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-01-25_final
2019-02-01 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-02-01_final
2019-02-11 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-11_final
2019-04-12 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2019-04-12_final
2019-06-17 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final
2019-08-26 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-08-26_final
2019-09-15 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2019-09-15_final
2019-10-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2019-10-06_final.stac-item
2019-11-01 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-11-01_final
2019-11-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-11-28_final
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final
2019-12-01 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-01_final
2019-12-01 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-01_final
2019-12-11 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2019-12-11_final
2019-12-21 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2019-12-21_final
2019-12-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-12-28_final
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_49KHR_2020-01-30_final
2020-02-02 12:15:03	ga_s2bm_ard_3-2-1_49JGL_2020-02-02_final
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final
2020-02-29 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-02-29_final
2020-03-17 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-17_final
2020-05-29 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-05-29_final
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final
2020-07-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-07-05_final
2020-07-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-07-15_final
2020-09-06 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final
2020-10-19 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-10-19_final.stac-item
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2020-12-22 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-12-22_final.stac-item
2020-12-28 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-12-28_final
2021-01-04 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-01-04_final
2021-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-01-04_final
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final
2021-02-16 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-16_final
2021-02-16 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-02-16_final
2021-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-17_final
2021-03-05 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final
2021-03-28 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-03-28_final
2021-04-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2021-04-07_final
2021-06-23 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-23_final
2021-07-13 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final.stac-item
2021-10-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-10-05_final.stac-item
2021-11-03 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-11-03_final
2021-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-11-20_final
2021-12-23 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-12-23_final
2022-01-13 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-01-13_final
2022-01-26 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-01-26_final
2022-02-02 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2022-02-02_final
2022-02-21 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2022-02-21_final
2022-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-02-28_final
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final
2022-05-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-05-09_final
2022-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2022-05-23_final
2022-06-21 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-06-21_final
2022-07-11 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-07-11_final.stac-item
2022-07-15 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-07-15_final
2022-09-13 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2022-09-13_final.stac-item
2022-10-19 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-11-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-29_final.stac-item
2022-12-15 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-12-15_final.stac-item
2023-02-13 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2023-02-13_final.stac-item
2023-02-16 12:14:04	ga_s2bm_ard_3-2-1_49KGQ_2023-02-16_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final.stac-item
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final.stac-item
2023-05-24 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-05-24_final.stac-item
2023-06-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-10_final.stac-item
2023-08-25 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-08-25_final.stac-item
2023-10-08 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2023-10-08_final.stac-item
2023-10-15 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2023-10-15_final.stac-item
2023-10-31 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-31_final.stac-item
2023-11-10 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-11-10_final.stac-item
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2023-11-13_final.stac-item
2023-12-10 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-12-10_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final.stac-item
2024-01-19 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-01-19_final.stac-item
2024-03-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-12_final.stac-item
2024-04-18 12:04:35	ga_s2bm_ard_3-2-1_49KGP_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