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_50JLM_2017-07-04_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-11-24_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-11-24_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-11-24_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPG_2017-12-12_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-12-14_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKP_2018-03-01_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQH_2018-03-22_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNK_2018-05-04_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQG_2018-05-31_final.stac-item
2018-11-19 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-11-19_final
2018-11-27 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2018-11-27_final.stac-item
2018-12-26 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2018-12-26_final
2018-12-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-12-27_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-01-05_final
2019-01-06 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2019-01-06_final.stac-item
2019-01-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-15_final
2019-01-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-01-15_final
2019-01-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-01-18_final
2019-02-04 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-02-04_final
2019-04-12 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2019-04-12_final
2019-05-22 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-22_final
2019-05-22 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-05-22_final.stac-item
2019-05-29 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-29_final
2019-06-05 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-06-05_final.stac-item
2019-06-08 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-08_final.stac-item
2019-10-15 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2019-10-15_final.stac-item
2019-11-14 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-11-14_final
2019-11-21 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-11-21_final
2019-11-24 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-11-24_final
2019-11-25 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2019-11-25_final
2019-11-25 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2019-11-25_final
2019-11-25 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2019-11-25_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final
2020-01-01 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-01-01_final.stac-item
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final
2020-01-03 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-03_final
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final
2020-01-24 11:47:07	ga_s2bm_ard_3-2-1_50HLH_2020-01-24_final
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_final
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final
2020-04-10 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2020-04-10_final.stac-item
2020-07-02 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-02_final
2020-07-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-22_final
2020-07-29 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-07-29_final.stac-item
2020-08-30 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-30_final.stac-item
2020-10-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-10-29_final
2020-10-29 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-05 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-11-05_final
2020-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-11-06_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-11-22_final.stac-item
2020-12-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-12-08_final
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final
2020-12-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-12-29_final.stac-item
2021-01-05 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-01-05_final
2021-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-11_final
2021-02-06 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-02-06_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final
2021-03-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-03-15_final
2021-05-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-05-08_final
2021-05-21 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-05-21_final
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final
2021-08-03 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-08-03_final.stac-item
2021-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-08_final
2021-11-14 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-11-14_final
2021-12-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2021-12-07_final.stac-item
2021-12-17 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2021-12-17_final
2021-12-20 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-12-20_final
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final
2022-01-30 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-01-30_final
2022-02-01 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-01_final
2022-02-12 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-12_final
2022-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2022-02-12_final.stac-item
2022-02-18 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2022-02-18_final
2022-03-13 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-03-21 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-03-21_final.stac-item
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-05-09_final.stac-item
2022-05-23 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-05-23_final
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-19 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-07-19_final.stac-item
2022-08-27 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-08-27_final
2022-11-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-11-06_final.stac-item
2022-11-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-22_final.stac-item
2022-12-09 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2022-12-09_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-27_final.stac-item
2023-02-20 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-02-20_final.stac-item
2023-03-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-03-09_final.stac-item
2023-04-14 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-04-14_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final.stac-item
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-07-07 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-07_final.stac-item
2023-07-14 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-07-14_final.stac-item
2023-12-30 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-30_final.stac-item
2024-01-06 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-01-06_final.stac-item
2024-02-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-02-05_final.stac-item
2024-02-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-02-08_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_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