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
2017-10-15 12:13:29	ga_s2bm_ard_3-2-1_49KGR_2017-10-15_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-11-24_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-12-14_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLJ_2017-12-28_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNG_2018-01-14_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-02-12_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPG_2018-03-22_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HMK_2018-04-17_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLK_2018-06-06_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-06-13_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HMH_2018-06-23_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-09-30_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2018-11-30 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2018-11-30_final.stac-item
2018-12-26 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2018-12-26_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final
2019-02-01 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-01_final
2019-04-18 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2019-04-18_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-08-07 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-08-07_final.stac-item
2019-08-27 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2019-08-27_final.stac-item
2019-09-02 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-09-02_final
2019-09-05 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2019-09-05_final
2019-09-26 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-09-26_final
2019-11-14 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2019-11-14_final
2019-12-04 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2019-12-04_final
2019-12-14 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-14_final
2019-12-24 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-24_final
2020-01-03 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-03_final
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final
2020-02-06 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2020-02-06_final
2020-02-22 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-02-22_final
2020-03-27 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2020-03-27_final
2020-06-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-01_final
2020-07-15 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-15_final
2020-08-01 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-08-01_final.stac-item
2020-08-27 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-08-27_final
2020-08-30 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-30_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-28 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2020-11-28_final
2020-11-29 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2020-11-29_final.stac-item
2020-12-25 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-12-25_final
2021-01-07 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-01-07_final
2021-01-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-17_final
2021-01-21 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-01-28 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-28_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final
2021-04-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-04-01_final
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final.stac-item
2021-06-16 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-06-16_final
2021-08-06 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-08-06_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-09-01_final
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final
2021-09-24 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-09-24_final
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final
2021-12-20 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-20_final
2021-12-30 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-12-30_final
2022-01-09 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-01-09_final
2022-02-02 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2022-02-02_final.stac-item
2022-02-08 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-08_final
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2022-03-03_final
2022-03-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2022-03-03_final
2022-03-13 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final
2022-03-20 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-03-20_final.stac-item
2022-03-27 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2022-03-27_final.stac-item
2022-04-19 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2022-04-19_final
2022-04-19 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-04-19_final
2022-06-02 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-06-02_final.stac-item
2022-07-11 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-11_final
2022-07-22 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2022-07-22_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-10-29 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-29_final.stac-item
2022-11-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-11-05_final.stac-item
2023-01-17 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-01-17_final.stac-item
2023-02-27 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2023-02-27_final.stac-item
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final.stac-item
2023-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-04-14_final.stac-item
2023-05-04 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-05-04_final.stac-item
2023-07-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-07-07_final.stac-item
2023-08-09 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-08-09_final.stac-item
2023-08-19 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-08-19_final.stac-item
2023-08-29 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-08-29_final.stac-item
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-10-31 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-31_final.stac-item
2023-11-07 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-11-07_final.stac-item
2023-11-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-11-20_final.stac-item
2023-11-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-24_final.stac-item
2023-12-17 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-12-17_final.stac-item
2024-01-12 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2024-01-12_final.stac-item
2024-01-16 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final.stac-item
2024-02-11 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2024-02-11_final.stac-item
2024-02-12 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-02-12_final.stac-item
2024-02-15 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2024-02-15_final.stac-item
2024-02-28 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-02-28_final.stac-item
2024-03-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2024-03-09_final.stac-item
2024-03-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-03-23_final.stac-item
2024-04-08 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-08_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