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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JMR_2017-07-04_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JMQ_2017-07-11_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_50JMR_2017-07-14_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JLR_2017-08-03_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JMR_2017-08-03_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2017-09-12_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHP_2017-09-15_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLS_2017-09-29_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLR_2017-11-01_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLR_2017-11-21_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JMR_2018-01-30_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JMR_2018-02-09_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JLS_2018-06-09_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLS_2018-06-16_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLS_2018-07-09_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLS_2018-07-16_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JMR_2018-09-04_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JMR_2018-10-07_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JMR_2018-10-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JMR_2018-10-27_final
2018-11-06 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2018-11-06_final
2018-11-26 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2018-11-26_final
2018-12-06 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2018-12-06_final
2018-12-06 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2018-12-06_final
2019-02-01 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2019-02-01_final
2019-02-01 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2019-02-01_final
2019-02-24 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2019-02-24_final
2019-03-16 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2019-03-16_final
2019-03-16 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2019-03-16_final
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-04-09 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2019-04-09_final.stac-item
2019-05-12 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2019-05-12_final
2019-06-04 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-06-04_final
2019-06-14 12:05:19	ga_s2bm_ard_3-2-1_50JKR_2019-06-14_final
2019-06-21 11:54:58	ga_s2bm_ard_3-2-1_50JLT_2019-06-21_final
2019-06-24 12:05:07	ga_s2bm_ard_3-2-1_50JMR_2019-06-24_final
2019-07-31 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-07-31_final
2019-08-03 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2019-08-03_final
2019-08-03 12:05:01	ga_s2bm_ard_3-2-1_50JLS_2019-08-03_final
2019-08-10 11:55:05	ga_s2bm_ard_3-2-1_50JLS_2019-08-10_final
2019-08-10 11:55:31	ga_s2bm_ard_3-2-1_50JMQ_2019-08-10_final
2019-08-16 12:14:27	ga_s2bm_ard_3-2-1_49KHP_2019-08-16_final
2019-08-20 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2019-08-20_final
2020-02-29 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2020-02-29_final
2020-03-10 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2020-03-10_final
2020-04-09 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2020-04-09_final
2020-05-19 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2020-05-19_final
2020-07-15 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2020-07-15_final
2020-07-18 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2020-07-18_final
2020-08-14 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2020-08-14_final
2020-08-17 12:04:50	ga_s2bm_ard_3-2-1_50JLT_2020-08-17_final
2020-08-24 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2020-08-24_final
2020-08-27 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2020-08-27_final
2020-09-06 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-09-06_final
2020-09-16 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-09-16_final
2020-10-06 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2020-10-06_final
2021-03-25 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2021-03-25_final
2021-04-04 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2021-04-04_final
2021-04-14 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2021-04-14_final
2021-05-21 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2021-05-21_final
2021-06-20 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-06-20_final
2021-08-29 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2021-08-29_final
2021-09-11 12:04:43	ga_s2bm_ard_3-2-1_50JLS_2021-09-11_final
2021-09-28 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2021-09-28_final
2021-10-08 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2021-10-08_final
2021-10-11 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2021-10-11_final
2021-10-11 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2021-10-11_final
2021-10-18 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2021-10-18_final
2021-12-07 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2021-12-07_final
2021-12-17 11:54:38	ga_s2bm_ard_3-2-1_50JLT_2021-12-17_final
2021-12-17 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2021-12-17_final
2022-01-09 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2022-01-09_final
2022-05-09 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2022-05-09_final
2022-05-16 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2022-05-16_final
2022-05-16 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2022-05-16_final
2022-06-25 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2022-06-25_final
2022-06-28 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2022-06-28_final
2022-07-05 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2022-07-05_final
2022-07-05 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2022-07-05_final
2022-07-25 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2022-07-25_final
2022-09-16 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2022-09-16_final.stac-item
2022-09-23 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2022-09-23_final.stac-item
2022-09-23 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2022-09-23_final.stac-item
2022-10-13 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2022-10-13_final.stac-item
2022-11-02 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2022-11-02_final.stac-item
2023-01-21 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2023-01-21_final.stac-item
2023-05-11 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-05-11_final.stac-item
2023-05-11 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2023-05-11_final.stac-item
2023-05-21 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2023-05-21_final.stac-item
2023-06-10 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2023-06-10_final.stac-item
2023-06-13 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-06-13_final.stac-item
2023-07-13 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-07-13_final.stac-item
2023-08-19 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2023-08-19_final.stac-item
2023-08-19 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2023-08-19_final.stac-item
2023-08-22 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-08-22_final.stac-item
2023-09-28 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2023-09-28_final.stac-item
2023-10-01 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2023-10-01_final.stac-item
2023-10-11 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2023-10-11_final.stac-item
2023-11-17 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2023-11-17_final.stac-item
2023-12-27 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2023-12-27_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