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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNH_2017-07-18_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-11-24_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-24_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGJ_2017-12-31_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-14_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGN_2018-09-20_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-09-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLK_2018-10-04_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHP_2018-10-17_final
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final
2018-11-07 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2018-11-07_final
2018-11-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-16_final
2018-11-17 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2018-11-17_final
2018-12-06 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-06_final
2019-06-21 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-06-21_final
2019-07-31 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-07-31_final
2019-08-06 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-08-06_final
2019-08-10 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2019-08-10_final
2019-08-23 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-08-23_final
2019-09-02 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2019-09-02_final
2019-09-15 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2019-09-15_final
2019-10-02 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-02_final
2019-10-12 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-10-12_final
2019-10-29 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2019-10-29_final
2019-11-11 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-11-11_final
2019-12-02 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2019-12-02_final
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-21_final
2020-04-02 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2020-04-02_final
2020-04-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-04-19_final
2020-05-10 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2020-05-10_final
2020-05-22 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final
2020-06-08 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-06-08_final
2020-07-21 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-21_final
2020-08-07 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-08-07_final.stac-item
2020-08-08 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-08-08_final
2020-09-16 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-09-16_final
2020-09-26 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-26_final
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final
2021-09-05 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2021-09-05_final
2021-09-08 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2021-09-08_final
2021-09-15 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-15_final
2021-09-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-09-22_final
2021-10-15 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-10-15_final
2021-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-11-24_final
2021-11-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-11-27_final
2021-12-01 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2021-12-01_final
2021-12-20 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-20_final
2021-12-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-12-27_final
2022-01-02 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2022-01-02_final
2022-01-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-01-02_final
2022-01-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-01-03_final
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-01-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-01-13_final
2022-04-06 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2022-04-06_final.stac-item
2022-04-23 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2022-04-23_final.stac-item
2022-05-03 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2022-05-03_final.stac-item
2022-05-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-16_final
2022-05-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-05-16_final
2022-06-22 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2022-06-22_final
2022-06-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-06-25_final
2022-06-28 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-06-28_final
2022-07-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-07-15_final
2022-08-04 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2022-08-04_final
2022-08-24 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-08-24_final
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-09-16_final.stac-item
2022-09-23 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-23_final.stac-item
2022-09-29 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-09-29_final.stac-item
2022-09-30 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-09-30_final.stac-item
2022-09-30 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-09-30_final.stac-item
2022-11-15 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-11-15_final.stac-item
2022-12-16 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-12-16_final.stac-item
2023-01-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-07_final.stac-item
2023-03-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2023-03-09_final.stac-item
2023-03-12 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-03-12_final.stac-item
2023-03-22 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2023-03-22_final.stac-item
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final.stac-item
2023-04-21 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-04-21_final.stac-item
2023-04-27 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-04-27_final.stac-item
2023-04-28 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2023-04-28_final.stac-item
2023-05-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-05-05_final.stac-item
2023-05-21 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-05-21_final.stac-item
2023-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-07_final.stac-item
2023-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-07_final.stac-item
2023-07-10 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-07-10_final.stac-item
2023-09-08 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-09-08_final.stac-item
2023-10-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2023-10-05_final.stac-item
2023-10-08 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2023-10-08_final.stac-item
2023-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2023-10-22_final.stac-item
2023-11-04 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-11-04_final.stac-item
2023-11-17 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-11-17_final.stac-item
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final.stac-item
2023-12-14 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-12-14_final.stac-item
2024-02-02 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-02-02_final.stac-item
2024-02-15 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2024-02-15_final.stac-item
2024-03-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-03-03_final.stac-item
2024-03-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-03-20_final.stac-item
2024-04-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-04-15_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