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
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JKS_2017-08-03_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2017-09-02_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JLS_2017-09-02_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JLQ_2017-09-12_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KHS_2017-11-01_final.stac-item
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQK_2017-11-22_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLQ_2017-12-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKS_2018-03-11_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMK_2018-03-18_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-05-03_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2018-05-20_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLT_2018-06-29_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLQ_2018-07-09_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMH_2018-07-13_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKS_2018-09-07_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JKR_2018-09-17_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JKR_2018-09-27_final
2018-11-20 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2018-11-20_final.stac-item
2018-11-26 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2018-11-26_final
2018-11-30 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2018-11-30_final.stac-item
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final
2019-06-11 11:55:05	ga_s2bm_ard_3-2-1_50JLS_2019-06-11_final
2019-06-18 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2019-06-18_final
2019-06-18 11:47:35	ga_s2bm_ard_3-2-1_50HLG_2019-06-18_final.stac-item
2019-07-01 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-07-01_final
2019-07-14 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-07-14_final
2019-07-21 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-07-21_final
2019-07-31 11:55:57	ga_s2bm_ard_3-2-1_50JNN_2019-07-31_final
2019-08-26 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2019-08-26_final
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2019-09-05_final.stac-item
2019-09-29 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-29_final.stac-item
2019-10-09 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2019-10-09_final
2019-11-14 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-11-14_final
2019-11-28 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2019-11-28_final.stac-item
2019-12-24 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2019-12-24_final
2020-02-06 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2020-02-06_final
2020-07-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-07-21_final.stac-item
2020-07-28 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-07-28_final
2020-08-30 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-08-30_final
2020-09-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-09-26_final.stac-item
2021-02-26 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-26_final
2021-03-15 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-03-15_final
2021-03-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-03-15_final
2021-04-11 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2021-04-11_final
2021-04-17 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-04-17_final
2021-05-01 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2021-05-01_final
2021-06-20 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-06-20_final
2021-06-20 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-06-20_final
2021-06-26 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-06-26_final
2021-06-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-06-26_final
2021-07-03 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-07-03_final
2021-07-10 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2021-07-10_final
2021-07-10 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2021-07-10_final
2021-08-12 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-08-12_final
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final
2021-09-01 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2021-09-01_final
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final.stac-item
2021-10-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-10-04_final
2021-10-11 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-10-11_final
2021-12-23 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-12-23_final
2022-02-05 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2022-02-05_final
2022-02-25 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2022-02-25_final
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLJ_2022-02-25_final
2022-03-30 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2022-03-30_final
2022-04-06 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2022-04-06_final
2022-04-06 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2022-04-06_final
2022-04-06 11:55:35	ga_s2bm_ard_3-2-1_50JMP_2022-04-06_final
2022-04-12 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2022-04-12_final
2022-04-16 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2022-04-16_final
2022-04-19 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2022-04-19_final
2022-05-09 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2022-05-09_final
2022-05-26 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2022-05-26_final
2022-10-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-10-06_final.stac-item
2022-10-16 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-10-16_final.stac-item
2022-12-02 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2022-12-02_final.stac-item
2022-12-12 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2022-12-12_final.stac-item
2022-12-22 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2022-12-22_final.stac-item
2023-01-04 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2023-01-04_final.stac-item
2023-02-16 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-02-16_final.stac-item
2023-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-08_final.stac-item
2023-03-22 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-03-22_final.stac-item
2023-05-01 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-05-01_final.stac-item
2023-06-26 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-26_final.stac-item
2023-06-30 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-06-30_final.stac-item
2023-07-03 12:04:41	ga_s2bm_ard_3-2-1_50JMT_2023-07-03_final.stac-item
2023-10-24 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_final.stac-item
2023-11-17 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2023-11-17_final.stac-item
2023-11-20 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2023-11-20_final.stac-item
2023-11-30 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2023-11-30_final.stac-item
2023-12-10 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2023-12-10_final.stac-item
2024-01-19 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2024-01-19_final.stac-item
2024-01-26 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2024-01-26_final.stac-item
2024-01-29 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2024-01-29_final.stac-item
2024-02-15 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2024-02-15_final.stac-item
2024-02-28 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-02-28_final.stac-item
2024-03-06 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2024-03-06_final.stac-item
2024-04-02 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-04-02_final.stac-item
2024-05-05 11:54:55	ga_s2bm_ard_3-2-1_50JMS_2024-05-05_final.stac-item
2024-05-05 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2024-05-05_final.stac-item
2024-05-18 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2024-05-18_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