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
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-10-25_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-10-25_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KHQ_2017-12-24_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-03_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMH_2018-05-17_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-05-23_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-06-12_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-09-27_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-10-07_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2018-10-10_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHP_2018-10-30_final
2018-11-06 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-06_final
2018-11-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-16_final
2019-02-24 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2019-02-24_final
2019-07-07 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-07_final
2019-07-31 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-07-31_final
2019-07-31 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-07-31_final
2019-08-03 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-08-03_final
2019-08-16 12:14:27	ga_s2bm_ard_3-2-1_49KHP_2019-08-16_final
2019-09-05 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2019-09-05_final
2019-09-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-09-22_final
2019-10-02 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-10-02_final
2019-10-12 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2019-10-12_final
2019-10-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-10-15_final
2020-01-20 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2020-01-20_final
2020-02-22 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2020-02-22_final
2020-04-09 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2020-04-09_final
2020-04-12 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-04-12_final
2020-04-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-04-12_final
2020-05-12 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-05-12_final
2020-05-12 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2020-05-12_final
2020-06-11 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-06-11_final
2020-06-21 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-06-21_final
2020-07-11 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2020-07-11_final
2020-07-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-07-28_final
2020-07-28 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-07-28_final
2020-08-31 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2020-08-31_final
2020-09-16 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-09-16_final
2020-09-16 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2020-09-16_final
2020-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-09-29_final
2020-09-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-09-29_final
2020-11-15 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-15_final
2021-02-27 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-02-27_final.stac-item
2021-09-04 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2021-09-04_final
2021-09-11 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-09-11_final
2021-09-11 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-09-11_final
2021-09-11 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2021-09-11_final
2021-09-14 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2021-09-14_final
2021-09-24 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2021-09-24_final
2021-10-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-10-04_final
2021-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-10-24_final
2021-11-07 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-11-07_final
2022-01-19 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2022-01-19_final
2022-01-29 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2022-01-29_final
2022-02-05 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2022-02-05_final
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-02-08_final
2022-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-04-16 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2022-04-16_final
2022-04-22 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2022-04-22_final
2022-05-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-05-06_final
2022-05-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-16_final
2022-07-12 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2022-07-12_final
2022-08-20 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2022-08-20_final
2022-09-10 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2022-09-10_final.stac-item
2022-10-09 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-10-09_final.stac-item
2022-10-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-10-19_final.stac-item
2022-12-08 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-12-08_final.stac-item
2022-12-08 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-12-08_final.stac-item
2022-12-18 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-12-18_final.stac-item
2022-12-28 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-12-28_final.stac-item
2023-01-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2023-01-27_final.stac-item
2023-02-03 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2023-02-03_final.stac-item
2023-02-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-02-23_final.stac-item
2023-04-17 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-04-17_final.stac-item
2023-04-17 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-04-17_final.stac-item
2023-04-21 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-21_final.stac-item
2023-05-17 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-05-17_final.stac-item
2023-05-18 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-05-18_final.stac-item
2023-05-21 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-05-21_final.stac-item
2023-05-27 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-27_final.stac-item
2023-05-27 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-05-27_final.stac-item
2023-05-28 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-05-28_final.stac-item
2023-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-06-03_final.stac-item
2023-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-26_final.stac-item
2023-06-26 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-26_final.stac-item
2023-06-27 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-06-27_final.stac-item
2023-06-30 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-06-30_final.stac-item
2023-08-16 11:47:20	ga_s2bm_ard_3-2-1_50HLH_2023-08-16_final.stac-item
2023-08-22 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-08-22_final.stac-item
2023-08-25 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-08-25_final.stac-item
2023-08-26 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-08-26_final.stac-item
2023-08-26 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-08-26_final.stac-item
2023-09-04 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-09-04_final.stac-item
2023-09-08 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-09-08_final.stac-item
2023-09-15 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-09-15_final.stac-item
2023-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_final.stac-item
2023-12-03 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-12-03_final.stac-item
2024-02-11 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-02-11_final.stac-item
2024-03-22 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-03-22_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