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
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KHP_2017-07-17_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHS_2017-08-26_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLS_2017-11-28_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-02-09_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHP_2018-02-12_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLS_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLQ_2018-03-01_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLS_2018-03-08_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLR_2018-03-21_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLR_2018-03-28_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_50JLS_2018-05-07_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
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JLR_2018-08-18_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHP_2018-09-20_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKR_2018-10-17_final
2018-11-06 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2018-11-06_final
2018-12-13 11:54:51	ga_s2bm_ard_3-2-1_50JLS_2018-12-13_final
2018-12-26 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2018-12-26_final
2019-02-11 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2019-02-11_final
2019-02-21 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2019-02-21_final
2019-02-21 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2019-02-21_final
2019-03-23 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2019-03-23_final
2019-04-25 12:05:15	ga_s2bm_ard_3-2-1_49JFM_2019-04-25_final
2019-05-15 12:05:35	ga_s2bm_ard_3-2-1_50JLQ_2019-05-15_final
2019-05-18 12:14:19	ga_s2bm_ard_3-2-1_49KHQ_2019-05-18_final
2019-05-28 12:14:19	ga_s2bm_ard_3-2-1_49KHQ_2019-05-28_final
2019-05-29 11:46:56	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-06-14 12:05:26	ga_s2bm_ard_3-2-1_50JKR_2019-06-14_final
2019-09-06 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2019-09-06_final
2019-10-26 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-10-26_final
2019-10-29 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2019-10-29_final
2019-11-18 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2019-11-18_final
2019-11-21 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-11-21_final
2019-12-01 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2019-12-01_final
2019-12-05 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2019-12-05_final.stac-item
2019-12-11 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2019-12-11_final
2019-12-31 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2019-12-31_final
2020-01-10 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2020-01-10_final
2020-03-07 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2020-03-07_final
2020-07-18 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2020-07-18_final
2020-07-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-21_final
2020-08-31 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-08-31_final.stac-item
2020-09-13 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-09-13_final
2020-09-16 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2020-09-16_final
2020-09-19 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-09-19_final.stac-item
2020-10-16 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-10-16_final
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final
2020-12-12 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2020-12-12_final
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2021-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-02-16_final.stac-item
2021-02-23 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2021-02-23_final
2021-02-23 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-02-23_final
2021-02-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2021-02-26_final.stac-item
2021-03-22 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-03-22_final
2021-03-25 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2021-03-25_final
2021-04-21 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2021-04-21_final
2021-08-02 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2021-08-02_final
2021-08-26 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-08-26_final.stac-item
2021-10-28 11:55:04	ga_s2bm_ard_3-2-1_50JLS_2021-10-28_final
2021-10-31 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-10-31_final
2021-11-17 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2021-11-17_final
2021-11-20 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2021-11-20_final
2021-11-27 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-11-27_final
2021-12-20 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2021-12-20_final
2022-01-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-01-12_final
2022-01-29 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2022-01-29_final
2022-02-28 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-02-28_final
2022-03-20 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2022-03-20_final
2022-03-30 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2022-03-30_final
2022-04-23 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2022-04-23_final.stac-item
2022-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2022-05-23_final.stac-item
2022-06-28 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2022-06-28_final
2022-07-05 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2022-07-05_final
2022-07-15 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2022-07-15_final
2022-10-13 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-10-13_final.stac-item
2022-11-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-28_final.stac-item
2022-12-15 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2022-12-15_final.stac-item
2022-12-22 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2022-12-22_final.stac-item
2023-01-04 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2023-01-04_final.stac-item
2023-01-14 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2023-01-14_final.stac-item
2023-02-03 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-02-03_final.stac-item
2023-02-23 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2023-02-23_final.stac-item
2023-03-05 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-03-05_final.stac-item
2023-03-15 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-03-15_final.stac-item
2023-04-21 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-04-21_final.stac-item
2023-05-07 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2023-05-07_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-05-14_final.stac-item
2023-06-10 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-06-10_final.stac-item
2023-08-12 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2023-08-12_final.stac-item
2023-08-19 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-08-19_final.stac-item
2023-09-05 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-09-05_final.stac-item
2023-09-08 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-09-08_final.stac-item
2023-09-11 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final.stac-item
2023-10-18 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-10-18_final.stac-item
2023-11-30 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2023-11-30_final.stac-item
2023-12-24 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-12-24_final.stac-item
2024-04-18 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2024-04-18_final.stac-item
2024-05-08 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2024-05-08_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