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
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50HMK_2017-07-21_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNG_2017-08-07_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGP_2017-08-26_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGQ_2017-09-15_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HNK_2017-10-19_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HNK_2017-11-25_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-01-23_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-02-22_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGK_2018-03-11_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JHM_2018-08-08_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-08-11_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHR_2018-08-21_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMG_2018-08-25_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JFM_2018-10-30_final
2018-11-20 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2018-11-20_final
2018-11-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2018-11-29_final
2018-11-30 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2018-11-30_final
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-19_final
2018-12-29 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-12-29_final
2019-03-09 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2019-03-09_final
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final
2019-03-27 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-03-27_final
2019-05-08 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-05-08_final
2019-06-14 12:04:25	ga_s2bm_ard_3-2-1_49KGQ_2019-06-14_final
2019-07-04 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-04_final
2019-08-07 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-08-07_final.stac-item
2019-08-26 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-08-26_final
2019-08-27 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2019-08-27_final
2019-09-05 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2019-09-05_final
2019-09-06 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-09-06_final.stac-item
2019-11-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-11-05_final
2019-11-24 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2019-11-24_final
2019-12-05 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2019-12-05_final
2019-12-15 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2019-12-15_final.stac-item
2019-12-28 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-28_final
2020-01-04 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-01-04_final
2020-02-02 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-02-02_final
2020-02-20 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-02-20_final
2020-02-22 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-02-22_final
2020-04-09 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-09_final
2020-05-26 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2020-05-26_final
2020-06-01 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-06-01_final
2020-07-01 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-07-01_final
2020-09-23 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-09-23_final
2020-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-16_final
2020-12-18 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-18_final
2021-01-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-01-17_final
2021-01-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-17_final
2021-01-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-01-18_final
2021-03-22 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-03-22_final
2021-04-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2021-04-07_final
2021-04-17 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-04-17_final
2021-04-18 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-18_final.stac-item
2021-05-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-05-17_final
2021-07-13 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final
2021-07-26 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2021-07-26_final
2021-10-11 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-10-11_final
2021-10-15 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-10-15_final
2021-10-24 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-10-24_final
2021-12-03 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-12-03_final
2021-12-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-03_final
2022-01-10 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-01-10_final
2022-02-12 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-02-12_final
2022-02-22 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-02-22_final
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final
2022-04-19 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2022-04-19_final
2022-04-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-04-26_final
2022-06-11 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2022-06-11_final
2022-07-22 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2022-07-22_final
2022-08-24 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-08-24_final
2022-09-09 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-09-09_final.stac-item
2022-10-30 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-10-30_final.stac-item
2022-11-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-11-16_final.stac-item
2022-12-05 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-12-05_final.stac-item
2022-12-05 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-12-05_final.stac-item
2022-12-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-29_final.stac-item
2023-02-16 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-02-16_final.stac-item
2023-02-20 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-02-20_final.stac-item
2023-03-15 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-03-15_final.stac-item
2023-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-04-14_final.stac-item
2023-04-18 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2023-04-18_final.stac-item
2023-04-24 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-04-24_final.stac-item
2023-05-18 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-05-18_final.stac-item
2023-06-06 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-06_final.stac-item
2023-07-03 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-07-03_final.stac-item
2023-07-06 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-06_final.stac-item
2023-07-13 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-07-13_final.stac-item
2023-08-22 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-08-22_final.stac-item
2023-10-11 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-11_final.stac-item
2023-10-12 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-10-12_final.stac-item
2023-10-21 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-10-21_final.stac-item
2023-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2023-10-22_final.stac-item
2023-10-24 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-10-24_final.stac-item
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-13_final.stac-item
2023-12-20 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-12-20_final.stac-item
2023-12-30 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2023-12-30_final.stac-item
2024-02-18 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2024-02-18_final.stac-item
2024-02-28 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-02-28_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