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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGN_2017-08-26_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2017-09-02_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHR_2017-09-12_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGM_2017-09-15_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGJ_2017-10-12_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-10-25_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-11_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGL_2017-12-31_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-01-23_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-09_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-19_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-02-22_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGK_2018-03-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGN_2018-03-24_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-04-23_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-22_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-08-08_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGN_2018-08-18_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGJ_2018-09-27_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-10-07_final
2019-01-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-01-15_final
2019-01-19 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-19_final
2019-02-24 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2019-02-24_final
2019-03-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-03-09_final
2019-03-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final
2019-04-15 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2019-04-15_final
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final
2019-04-18 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2019-04-18_final
2019-04-22 11:57:01	ga_s2bm_ard_3-2-1_50HLJ_2019-04-22_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-05-25 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-25_final
2019-07-31 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-07-31_final.stac-item
2019-08-13 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2019-08-13_final
2019-08-16 12:15:06	ga_s2bm_ard_3-2-1_49JFM_2019-08-16_final
2019-11-15 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-11-15_final
2019-11-15 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-11-15_final.stac-item
2020-02-29 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-02-29_final
2020-02-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-02-29_final
2020-03-04 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-04_final.stac-item
2020-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-10_final
2020-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-10_final
2020-04-06 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-04-06_final
2020-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-04-09_final
2020-04-09 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-09_final
2020-04-29 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2020-04-29_final.stac-item
2020-05-03 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2020-05-03_final.stac-item
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2020-05-19_final.stac-item
2020-05-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2020-05-19_final
2020-06-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-06-08_final
2020-07-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-07-05_final
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-11-05_final
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final
2020-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2020-12-19_final.stac-item
2021-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-02-10_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final
2021-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-29_final
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2021-04-04_final.stac-item
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final.stac-item
2021-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-17 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-04-17_final
2021-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-06-13_final
2021-07-30 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-30_final
2021-08-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-08-15_final
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-10-01 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-10-01_final
2021-10-08 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-10-08_final.stac-item
2021-11-23 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-11-23_final
2021-11-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-30_final
2021-12-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-10_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-12-30_final.stac-item
2022-01-29 12:03:38	ga_s2bm_ard_3-2-1_49KHS_2022-01-29_final.stac-item
2022-01-29 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-01-29_final
2022-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-03-10_final
2022-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-03-20_final
2022-04-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-04-19_final
2022-06-21 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-06-21_final
2022-07-18 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-07-18_final
2022-08-04 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-08-04_final
2022-08-17 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2022-08-17_final
2022-09-16 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-16_final.stac-item
2022-11-05 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-11-05_final.stac-item
2022-11-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-11-05_final.stac-item
2022-11-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-08_final.stac-item
2022-11-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-08_final.stac-item
2022-11-15 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-11-15_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-12-29_final.stac-item
2023-01-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-01-14_final.stac-item
2023-07-23 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2023-07-23_final.stac-item
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final.stac-item
2023-09-14 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-14_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-01_final.stac-item
2023-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final.stac-item
2023-12-30 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2023-12-30_final.stac-item
2024-01-09 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2024-01-09_final.stac-item
2024-04-28 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2024-04-28_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