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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HMH_2017-07-11_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHM_2017-08-03_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JMS_2017-10-19_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMQ_2017-11-28_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLQ_2017-12-28_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JMS_2018-01-20_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLR_2018-01-27_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-30_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JMT_2018-02-09_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLS_2018-04-20_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JHM_2018-05-10_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JKR_2018-05-10_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50JLS_2018-05-30_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JMP_2018-07-06_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQH_2018-07-13_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKS_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JHM_2018-07-29_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JNN_2018-08-12_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNN_2018-09-24_final
2018-12-26 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2018-12-26_final
2018-12-27 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2018-12-27_final
2019-01-18 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-18_final
2019-02-11 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2019-02-11_final
2019-03-03 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2019-03-03_final
2019-04-02 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2019-04-02_final
2019-04-08 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2019-04-08_final
2019-04-22 11:55:34	ga_s2bm_ard_3-2-1_50JLQ_2019-04-22_final
2019-05-28 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2019-05-28_final
2019-06-18 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-06-18_final
2019-07-21 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-07-21_final
2019-07-31 11:55:21	ga_s2bm_ard_3-2-1_50JLR_2019-07-31_final
2019-07-31 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-07-31_final
2019-07-31 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-07-31_final
2019-08-13 12:05:18	ga_s2bm_ard_3-2-1_50JKR_2019-08-13_final
2019-08-20 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2019-08-20_final
2019-09-15 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-09-15_final.stac-item
2019-09-29 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2019-09-29_final
2019-10-23 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-10-23_final
2019-11-21 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-11-21_final.stac-item
2019-11-28 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2019-11-28_final
2019-12-08 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2019-12-08_final
2020-01-07 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2020-01-07_final
2020-02-12 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2020-02-12_final.stac-item
2020-04-06 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2020-04-06_final
2020-04-16 11:55:19	ga_s2bm_ard_3-2-1_50JMQ_2020-04-16_final
2020-05-09 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2020-05-09_final
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-28_final.stac-item
2020-07-01 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-01_final
2020-07-12 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2020-07-12_final
2020-07-22 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-22_final.stac-item
2020-07-31 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final
2020-08-24 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-08-24_final
2021-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-02-17_final
2021-04-14 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-04-14_final
2021-04-27 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-04-27_final
2021-05-27 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-05-27_final
2021-06-13 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-06-13_final
2021-08-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-08-19_final
2021-08-22 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-08-22_final
2021-08-29 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2021-08-29_final
2021-09-04 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2021-09-04_final
2021-09-08 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-09-08_final
2021-09-14 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2021-09-14_final
2021-09-28 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-09-28_final.stac-item
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-10-01_final.stac-item
2021-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-11-04_final.stac-item
2021-11-07 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-11-07_final
2021-11-23 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2021-11-23_final
2021-11-30 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2021-11-30_final
2021-12-30 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2021-12-30_final
2022-03-04 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2022-03-04_final
2022-07-02 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2022-07-02_final
2022-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-02_final
2022-07-05 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2022-07-05_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2022-08-17_final.stac-item
2022-09-30 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-09-30_final.stac-item
2022-11-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-11-25_final.stac-item
2022-12-22 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-12-22_final.stac-item
2023-01-17 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-01-17_final.stac-item
2023-03-22 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2023-03-22_final.stac-item
2023-04-27 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2023-04-27_final.stac-item
2023-05-11 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2023-05-11_final.stac-item
2023-05-31 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2023-05-31_final.stac-item
2023-08-12 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-08-12_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 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2023-08-26_final.stac-item
2023-09-01 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-09-01_final.stac-item
2023-09-08 11:55:43	ga_s2bm_ard_3-2-1_50JMP_2023-09-08_final.stac-item
2023-09-11 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2023-09-11_final.stac-item
2023-09-18 11:54:58	ga_s2bm_ard_3-2-1_50JMS_2023-09-18_final.stac-item
2023-10-31 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-31_final.stac-item
2023-11-30 12:05:02	ga_s2bm_ard_3-2-1_50JKR_2023-11-30_final.stac-item
2024-02-05 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2024-02-05_final.stac-item
2024-03-06 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2024-03-06_final.stac-item
2024-04-02 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2024-04-02_final.stac-item
2024-04-02 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2024-04-02_final.stac-item
2024-04-08 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2024-04-08_final.stac-item
2024-05-08 12:04:40	ga_s2bm_ard_3-2-1_50JLT_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