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_50JKT_2017-08-03_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JLR_2017-08-03_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HLG_2017-08-27_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLT_2017-09-29_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JHN_2017-10-05_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2018-01-27_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JHN_2018-03-04_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLG_2018-03-05_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JKR_2018-04-10_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2018-05-10_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HLG_2018-07-13_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLT_2018-09-24_final
2019-01-19 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-01-19_final.stac-item
2019-02-24 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-02-24_final
2019-03-26 12:05:20	ga_s2bm_ard_3-2-1_50JKQ_2019-03-26_final
2019-04-22 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2019-04-22_final
2019-04-25 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-04-25_final
2019-04-25 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-04-25_final
2019-05-02 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2019-05-02_final
2019-05-15 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final
2019-05-19 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-19_final.stac-item
2019-05-22 11:54:54	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-05-29 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-05-29_final.stac-item
2019-06-04 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-04_final
2019-06-14 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-06-14_final
2019-06-21 11:54:58	ga_s2bm_ard_3-2-1_50JLT_2019-06-21_final
2019-07-14 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-07-14_final
2019-08-07 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-08-07_final.stac-item
2019-08-10 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-08-10_final.stac-item
2019-08-27 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2019-08-27_final.stac-item
2019-12-15 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-15_final.stac-item
2020-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-07_final
2020-03-27 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2020-03-27_final
2020-04-26 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2020-04-26_final.stac-item
2020-05-13 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2020-05-13_final.stac-item
2020-05-16 11:54:50	ga_s2bm_ard_3-2-1_50JLS_2020-05-16_final
2020-05-19 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2020-05-19_final
2020-06-08 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final
2020-06-15 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2020-06-15_final
2020-06-25 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2020-06-25_final
2020-08-24 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2020-08-24_final
2020-08-28 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-08-28_final.stac-item
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-09-03 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2020-09-03_final
2020-09-06 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-09-06_final
2020-09-16 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2020-09-16_final
2020-09-29 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-09-29_final.stac-item
2020-10-23 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2020-10-23_final
2020-11-12 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2020-11-12_final
2020-11-22 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2020-11-22_final
2020-12-02 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2020-12-02_final
2020-12-22 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2020-12-22_final
2021-01-01 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2021-01-01_final
2021-01-11 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2021-01-11_final
2021-01-21 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-01-21_final
2021-01-31 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-01-31_final
2021-02-10 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2021-02-10_final
2021-02-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2021-02-26_final.stac-item
2021-05-11 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2021-05-11_final
2021-05-21 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-05-21_final
2021-05-28 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-05-28_final.stac-item
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-08-06_final.stac-item
2021-08-16 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-08-16_final.stac-item
2021-09-18 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2021-09-18_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-10-08 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-10-08_final
2021-10-18 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-10-18_final
2021-11-07 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-11-07_final
2021-11-17 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2021-11-17_final
2021-11-27 11:55:19	ga_s2bm_ard_3-2-1_50JMQ_2021-11-27_final
2021-12-07 11:55:19	ga_s2bm_ard_3-2-1_50JMQ_2021-12-07_final
2021-12-17 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2021-12-17_final
2022-01-03 11:46:20	ga_s2bm_ard_3-2-1_50HPK_2022-01-03_final
2022-01-06 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2022-01-06_final
2022-01-26 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2022-01-26_final
2022-02-01 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2022-02-01_final.stac-item
2022-03-27 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2022-03-27_final
2022-04-29 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-04-29_final
2022-05-29 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2022-05-29_final
2022-07-08 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2022-07-08_final
2022-07-18 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2022-07-18_final
2022-07-21 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2022-07-21_final
2022-08-27 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-08-27_final.stac-item
2023-03-15 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-03-15_final.stac-item
2023-03-22 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2023-03-22_final.stac-item
2023-04-11 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2023-04-11_final.stac-item
2023-05-11 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2023-05-11_final.stac-item
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-14_final.stac-item
2023-07-10 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2023-07-10_final.stac-item
2023-07-20 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-07-20_final.stac-item
2023-08-09 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-08-09_final.stac-item
2023-08-19 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2023-08-19_final.stac-item
2023-08-29 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-08-29_final.stac-item
2023-09-11 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final.stac-item
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final.stac-item
2023-10-28 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2023-10-28_final.stac-item
2023-11-17 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-11-17_final.stac-item
2023-11-23 12:14:11	ga_s2bm_ard_3-2-1_49KFQ_2023-11-23_nrt.stac-item
2024-04-05 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2024-04-05_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