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
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JKQ_2017-10-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JKR_2017-10-12_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_50JKR_2017-10-22_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKR_2017-11-21_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HQH_2017-11-25_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLQ_2018-01-10_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLR_2018-01-10_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-01-30_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHP_2018-03-14_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLR_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKR_2018-04-20_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLR_2018-05-07_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLQ_2018-05-17_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLQ_2018-06-16_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKR_2018-06-19_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-07-12_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHS_2018-07-29_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HQH_2018-09-21_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLR_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JLR_2018-09-27_final
2018-12-20 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2018-12-20_final.stac-item
2019-02-01 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2019-02-01_final
2019-02-04 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-02-04_final
2019-02-11 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2019-02-11_final
2019-02-14 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-02-14_final
2019-05-15 12:05:17	ga_s2bm_ard_3-2-1_50JLR_2019-05-15_final
2019-07-17 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-17_final
2019-09-29 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-29_final.stac-item
2019-10-16 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2019-10-16_final.stac-item
2019-10-29 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-10-29_final
2019-11-05 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-11-05_final
2019-11-18 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2019-11-18_final.stac-item
2019-11-21 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-11-21_final
2019-12-21 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2019-12-21_final
2020-01-03 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-01-03_final
2020-02-02 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2020-02-02_final
2020-03-07 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2020-03-07_final.stac-item
2020-03-10 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2020-03-10_final
2020-03-30 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2020-03-30_final
2020-04-06 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2020-04-06_final
2020-04-06 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2020-04-06_final
2020-05-19 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-05-19_final
2020-05-22 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-05-22_final
2020-06-05 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-06-05_final.stac-item
2020-07-05 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-07-05_final
2020-07-18 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2020-07-18_final
2020-07-28 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-07-28_final
2020-08-14 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-08-14_final.stac-item
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final
2020-11-22 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2020-11-22_final
2020-12-19 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2020-12-19_final
2020-12-25 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2020-12-25_final
2021-02-20 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2021-02-20_final
2021-03-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-03-09_final
2021-03-15 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-03-15_final
2021-03-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-03-25_final
2021-08-02 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2021-08-02_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
2021-09-21 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-09-21_final
2021-10-08 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-10-08_final
2021-11-10 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-11-10_final
2021-11-20 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-11-20_final
2021-11-20 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-11-20_final
2021-11-30 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-11-30_final
2021-12-03 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2021-12-03_final
2021-12-13 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2021-12-13_final
2022-01-03 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2022-01-03_final
2022-01-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-01-12_final
2022-02-02 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2022-02-02_final.stac-item
2022-02-05 11:55:07	ga_s2bm_ard_3-2-1_50JLR_2022-02-05_final
2022-02-05 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2022-02-05_final.stac-item
2022-03-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-03-13_final
2022-04-19 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2022-04-19_final
2022-04-29 12:05:16	ga_s2bm_ard_3-2-1_50JLQ_2022-04-29_final
2022-05-29 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-05-29_final
2022-05-30 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-05-30_final.stac-item
2022-07-15 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-15_final
2022-07-18 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-07-18_final
2022-08-07 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2022-08-07_final
2022-09-29 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2022-09-29_final.stac-item
2022-10-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-10-06_final.stac-item
2022-10-09 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-10-09_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 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-02-10_nrt.stac-item
2023-02-13 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-02-13_final.stac-item
2023-02-23 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2023-02-23_final.stac-item
2023-03-05 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-03-05_final.stac-item
2023-05-01 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-05-01_final.stac-item
2023-05-07 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final.stac-item
2023-07-03 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-07-03_final.stac-item
2023-07-10 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-07-10_final.stac-item
2023-07-23 12:05:18	ga_s2bm_ard_3-2-1_50JKR_2023-07-23_final.stac-item
2023-07-30 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-07-30_final.stac-item
2023-10-18 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-10-18_final.stac-item
2023-11-04 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-11-04_final.stac-item
2023-11-30 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2023-11-30_final.stac-item
2024-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-01-06_final.stac-item
2024-01-10 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2024-01-10_final.stac-item
2024-01-29 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-01-29_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