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_49JGM_2017-07-14_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLH_2017-09-16_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHS_2017-11-11_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMG_2017-11-15_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-11_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNG_2018-01-14_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNJ_2018-01-14_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-01-23_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNG_2018-02-03_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNH_2018-02-03_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNJ_2018-02-13_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-03-14_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-04-03_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGN_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHQ_2018-04-20_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-05-10_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLG_2018-05-17_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-06-09_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-06-19_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-07-12_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-23_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNK_2018-08-02_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JFM_2018-09-10_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNG_2018-09-11_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-10-20_final
2018-11-27 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2018-11-27_final.stac-item
2018-12-19 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2018-12-19_final
2018-12-23 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-23_final
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-01-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-01-08_final
2019-01-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-01-12_final
2019-03-20 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-03-20_final.stac-item
2019-03-30 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2019-03-30_final
2019-03-30 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-03-30_final
2019-04-09 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2019-04-09_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final
2019-07-28 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-07-28_final.stac-item
2019-08-17 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2019-08-17_final.stac-item
2019-09-06 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2019-09-06_final.stac-item
2019-10-16 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2019-10-16_final.stac-item
2019-10-22 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-22_final.stac-item
2019-11-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-11-04_final
2019-11-05 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-11-05_final.stac-item
2019-11-18 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2019-11-18_final.stac-item
2019-11-24 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2019-11-24_final
2019-12-25 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-25_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final
2020-02-10 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-02-10_final.stac-item
2020-02-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-02-19_final
2020-03-24 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-03-24_final.stac-item
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final
2020-05-23 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-05-23_final.stac-item
2020-05-29 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-05-29_final.stac-item
2020-06-28 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-28_final
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-11-08_final
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_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
2021-01-07 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-01-07_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
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-05_final
2021-03-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-03-15_final
2021-03-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-03-19_final.stac-item
2021-05-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-05-18_final
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final.stac-item
2021-05-28 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-05-28_final
2021-06-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-06-23_final
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-07-03_final
2021-08-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-08-06_final.stac-item
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final
2021-12-04 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-12-04_final
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2022-01-06 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2022-01-06_final.stac-item
2022-01-20 11:37:22	ga_s2bm_ard_3-2-1_50HNG_2022-01-20_final.stac-item
2022-02-12 11:46:55	ga_s2bm_ard_3-2-1_50HNH_2022-02-12_final
2022-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-02-28_final
2022-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-05-19_final
2022-09-06 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-06_final.stac-item
2022-10-07 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2022-10-07_final.stac-item
2022-10-29 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-29_final.stac-item
2022-11-09 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-11-09_final.stac-item
2022-11-12 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-11-12_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final.stac-item
2023-03-16 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-03-16_final.stac-item
2023-03-19 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-19_final.stac-item
2023-05-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-05-08_final.stac-item
2023-11-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-17_final.stac-item
2023-12-03 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2023-12-03_final.stac-item
2023-12-23 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-23_final.stac-item
2024-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2024-01-23_final.stac-item
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_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