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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HQH_2017-08-07_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHQ_2017-09-12_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHQ_2017-10-05_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_50JKQ_2017-10-22_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JLS_2017-12-21_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLQ_2018-01-10_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLQ_2018-02-16_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-02-22_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKR_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLR_2018-03-01_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLQ_2018-03-08_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLQ_2018-04-20_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLQ_2018-05-10_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLR_2018-07-09_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JLR_2018-09-07_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLR_2018-10-27_final
2018-12-29 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-12-29_final
2019-01-25 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-01-25_final
2019-01-29 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-01-29_final
2019-02-04 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-02-04_final
2019-02-08 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-02-08_final
2019-04-12 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2019-04-12_final.stac-item
2019-08-20 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2019-08-20_final
2019-09-22 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-09-22_final.stac-item
2019-12-21 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2019-12-21_final
2020-01-14 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-01-14_final.stac-item
2020-03-17 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2020-03-17_final
2020-04-02 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-04-06 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2020-04-06_final
2020-04-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-04-12_final
2020-05-13 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2020-05-13_final
2020-05-19 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-05-19_final
2020-07-18 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2020-07-18_final
2020-08-31 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2020-08-31_final
2020-09-07 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2020-09-07_final.stac-item
2020-09-29 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-09-29_final.stac-item
2020-10-06 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-10-06_final
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-10-16_final
2020-10-26 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2020-10-26_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-11-22_final.stac-item
2021-01-01 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-01-01_final
2021-01-08 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-01-08_final.stac-item
2021-01-31 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-01-31_final
2021-03-25 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-03-25_final
2021-03-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-03-25_final
2021-04-18 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-04-18_final
2021-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-08-05_final.stac-item
2021-08-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-08-19_final
2021-09-04 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-09-04_final.stac-item
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_50JKS_2021-09-11_final
2021-09-11 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-09-11_final
2021-09-14 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2021-09-14_final
2021-09-18 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2021-09-18_final
2021-09-21 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-09-21_final
2021-10-14 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final.stac-item
2021-10-31 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-31_final
2021-11-20 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-11-20_final
2021-11-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-11-24_final.stac-item
2021-12-10 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2021-12-10_final
2021-12-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2021-12-24_final
2021-12-27 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2021-12-27_final
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-01-23 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-01-23_final
2022-01-29 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2022-01-29_final
2022-02-08 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2022-02-08_final
2022-03-24 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2022-03-24_final.stac-item
2022-04-16 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2022-04-16_final
2022-04-29 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2022-04-29_final
2022-06-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-06-01_final
2022-07-01 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2022-07-01_final
2022-08-31 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-31_final.stac-item
2022-09-10 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2022-09-10_final.stac-item
2022-09-26 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2022-09-26_final.stac-item
2022-09-30 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2022-09-30_final.stac-item
2022-10-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-10-19_final.stac-item
2022-10-26 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-10-26_final.stac-item
2022-11-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-15_final.stac-item
2022-12-05 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2022-12-05_final.stac-item
2022-12-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-12-28_final.stac-item
2023-02-10 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2023-02-10_final.stac-item
2023-02-10 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2023-02-10_final.stac-item
2023-02-20 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2023-02-20_final.stac-item
2023-05-01 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-05-01_final.stac-item
2023-05-11 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-05-11_final.stac-item
2023-07-03 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-07-03_final.stac-item
2023-08-22 12:05:30	ga_s2bm_ard_3-2-1_50JLQ_2023-08-22_final.stac-item
2023-09-21 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-09-21_final.stac-item
2023-10-11 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2023-10-11_final.stac-item
2023-11-07 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-11-07_final.stac-item
2023-11-07 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-11-07_final.stac-item
2023-11-21 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-11-21_final.stac-item
2023-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2023-11-24_final.stac-item
2023-11-30 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-11-30_final.stac-item
2023-12-04 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2023-12-04_final.stac-item
2024-01-29 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2024-01-29_final.stac-item
2024-02-18 12:05:19	ga_s2bm_ard_3-2-1_50JKR_2024-02-18_final.stac-item
2024-02-21 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-21_final.stac-item
2024-03-29 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2024-03-29_final.stac-item
2024-04-05 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2024-04-05_final.stac-item
2024-04-15 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_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