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 11:59:31	ga_s2bm_ard_3-2-1_49KHS_2017-07-04_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-13_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGN_2017-08-26_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_49KHS_2017-10-05_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JHN_2017-11-24_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-11-24_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HNG_2017-12-12_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNG_2018-01-14_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-01-20_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLH_2018-03-18_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLJ_2018-03-18_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JFM_2018-04-13_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-04-17_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-05-10_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMG_2018-08-05_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-08-08_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGJ_2018-08-28_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-09-11_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGL_2018-09-17_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGM_2018-09-17_final
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final
2018-12-06 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2018-12-06_final
2018-12-26 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-12-26_final
2018-12-29 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-12-29_final
2018-12-29 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-12-29_final
2018-12-30 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2018-12-30_final.stac-item
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-01-08_final
2019-01-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-01-12_final
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final
2019-02-28 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-02-28_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final.stac-item
2019-03-09 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-03-09_final
2019-03-13 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2019-03-13_final
2019-04-02 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2019-04-02_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final
2019-05-22 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-22_final
2019-06-08 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-06-08_final
2019-06-14 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-14_final.stac-item
2019-09-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-09-16_final.stac-item
2019-10-16 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2019-10-16_final.stac-item
2019-11-25 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2019-11-25_final.stac-item
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final
2019-12-21 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-21_final
2020-01-01 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2020-01-01_final.stac-item
2020-01-04 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-01-04_final.stac-item
2020-01-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-01-04_final.stac-item
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-03-30 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-30_final
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-07-08_final.stac-item
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final
2020-10-19 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-19_final
2020-10-20 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-20_final
2020-10-26 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-26_final
2020-10-30 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-30_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-11-08_final
2020-12-08 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-08_final
2021-02-17 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-02-17_final.stac-item
2021-02-20 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-02-20_final
2021-03-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-03-19_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final.stac-item
2021-05-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-05-18_final
2021-05-27 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-05-27_final
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final
2021-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-07-23_final
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-08-12 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-08-12_final
2021-09-11 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-11_final.stac-item
2021-10-24 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2021-10-24_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final.stac-item
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2021-12-10 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-12-10_final.stac-item
2021-12-13 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-12-13_final
2021-12-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-24_final.stac-item
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final
2022-03-13 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-04-09_final.stac-item
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-02-13_final.stac-item
2023-03-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-08_final.stac-item
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-04-24_final.stac-item
2023-06-23 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-23_final.stac-item
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-01_final.stac-item
2023-10-28 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final.stac-item
2023-10-31 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-10-31_final.stac-item
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-11-30_final.stac-item
2023-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-04_final.stac-item
2023-12-10 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-12-10_final.stac-item
2024-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2024-02-12_final.stac-item
2024-03-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-03-03_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