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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2017-08-13_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHP_2017-08-26_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JGM_2017-09-05_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-09-22_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-04_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHS_2017-11-21_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLJ_2017-12-28_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-20_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-02_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMJ_2018-02-03_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMJ_2018-02-16_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-03-14_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMH_2018-04-24_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-10-20_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-19 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-11-19_final
2018-12-06 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2018-12-06_final
2018-12-26 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2018-12-26_final
2018-12-26 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2018-12-26_final
2018-12-26 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2018-12-26_final
2018-12-26 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-12-26_final
2019-01-05 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2019-01-05_final
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-02-21 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-02-21_final
2019-03-03 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-03-03_final
2019-03-09 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-03-09_final
2019-04-12 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final
2019-05-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-05-22_final
2019-05-25 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-25_final
2019-06-04 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-04_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final
2019-06-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-24_final
2019-08-16 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2019-08-16_final.stac-item
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final
2019-12-28 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2019-12-28_final
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final
2020-02-19 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-02-19_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-30_final.stac-item
2020-04-02 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-04-02_final
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-06-12_final
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-28_final
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-08-30 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-30_final
2020-09-29 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-29_final
2020-10-09 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-10-09 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-09_final
2020-10-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-26_final.stac-item
2020-11-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-11-19_final
2020-12-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-08_final
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-12-25_final.stac-item
2020-12-25 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-12-25_final
2020-12-25 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-12-25_final
2021-01-21 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-01-27 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-27_final
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final
2021-02-16 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-16_final
2021-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-02-17_final.stac-item
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-05_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final
2021-06-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-03_final
2021-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-06-07_final
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-06-17_final
2021-07-07 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-07-07_final
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final
2021-08-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-08-19_final
2021-11-03 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-11-03_final
2021-11-10 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-11-10_final
2021-12-23 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-23_final
2021-12-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2021-12-24_final
2022-01-13 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2022-01-13_final
2022-03-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-03-30_final
2022-06-21 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-06-21_final
2022-07-21 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2022-07-21_final.stac-item
2022-07-22 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-22_final
2022-08-31 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2022-08-31_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-12-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-12-29_final.stac-item
2023-01-17 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-17_final.stac-item
2023-02-03 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-02-03_final.stac-item
2023-02-13 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-02-13_final.stac-item
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final.stac-item
2023-04-11 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-04-11_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-10-25 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-10-25_final.stac-item
2023-11-13 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-11-13_final.stac-item
2023-11-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-11-17_final.stac-item
2023-11-17 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-11-17_final.stac-item
2023-11-23 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2023-11-23_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final.stac-item
2023-12-27 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-27_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