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
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KGR_2017-09-05_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2017-11-08_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-11-24_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGJ_2017-12-01_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHS_2017-12-01_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLJ_2017-12-08_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-02-22_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-05-10_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGL_2018-05-13_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KGP_2018-08-18_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGR_2018-08-21_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-08-21_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HMK_2018-09-14_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-09-30_final
2018-11-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-16_final
2018-12-23 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2018-12-23_final
2019-01-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-01-18_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final
2019-03-29 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2019-03-29_final
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-05-15 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-05-15_final
2019-05-29 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final
2019-05-29 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-29_final
2019-06-17 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final
2019-06-27 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final
2019-07-07 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-07-07_final
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-14_final
2019-07-14 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-14_final
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final
2019-09-05 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2019-09-05_final
2019-10-22 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-22_final
2019-10-29 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-29_final
2019-12-01 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-01_final
2020-02-02 12:15:03	ga_s2bm_ard_3-2-1_49JGL_2020-02-02_final
2020-02-03 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2020-02-03_final
2020-02-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-02-16_final
2020-03-03 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-03_final
2020-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-03-10_final
2020-04-29 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-04-29_final
2020-05-13 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2020-05-13_final.stac-item
2020-08-07 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-07_final
2020-08-24 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-24_final
2020-08-31 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-10-09 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-09_final
2020-10-16 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final
2020-10-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-10-30_final
2020-12-28 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-28_final
2021-01-14 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-01-14_final.stac-item
2021-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2021-02-17_final
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-02-26_final
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final
2021-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-03-05_final
2021-03-22 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-03-22_final
2021-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-21 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2021-04-21_final
2021-05-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-05-07_final
2021-08-25 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-08-25_final
2021-08-25 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-08-25_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-12-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-12-10_final
2021-12-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2021-12-13_final
2021-12-23 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-12-23_final
2021-12-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2021-12-24_final
2021-12-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-12-27_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-12-30_final.stac-item
2022-02-01 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-01_final
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2022-03-03_final
2022-03-23 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-23_final
2022-04-26 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2022-04-26_final
2022-06-22 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-06-22_final.stac-item
2022-09-09 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-09-09_final.stac-item
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-11-15_final.stac-item
2022-12-08 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-12-08_final.stac-item
2022-12-25 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-12-25_final.stac-item
2022-12-28 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-12-28_final.stac-item
2023-01-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-07_final.stac-item
2023-01-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-01-14_final.stac-item
2023-01-17 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-01-17_final.stac-item
2023-01-24 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-24_final.stac-item
2023-05-04 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-05-04_final.stac-item
2023-06-13 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-06-13_final.stac-item
2023-09-01 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-09-01_final.stac-item
2023-09-21 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-09-21_final.stac-item
2023-10-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-10-14_final.stac-item
2023-10-14 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-10-14_final.stac-item
2023-11-07 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-11-07_final.stac-item
2023-11-13 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-13_final.stac-item
2023-11-17 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-11-17_final.stac-item
2023-11-24 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2023-11-24_final.stac-item
2023-12-20 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-12-20_final.stac-item
2024-01-12 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2024-01-12_final.stac-item
2024-02-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-02-18_final.stac-item
2024-03-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-03-12_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