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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_50JMS_2017-07-14_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JMS_2017-09-02_final
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HQG_2017-09-03_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JMS_2017-09-12_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLT_2017-09-29_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JHN_2017-11-24_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JMQ_2018-01-27_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JMT_2018-01-27_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JMT_2018-03-01_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JMS_2018-03-31_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMR_2018-04-17_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JMQ_2018-05-17_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JMS_2018-06-29_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JMS_2018-07-06_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JMT_2018-07-09_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JMT_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50JMT_2018-07-29_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JMS_2018-08-25_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JMR_2018-09-07_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JMS_2018-09-07_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JMS_2018-09-17_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLT_2018-09-24_final
2019-01-02 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2019-01-02_final
2019-01-12 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2019-01-12_final
2019-02-21 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2019-02-21_final
2019-04-05 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2019-04-05_final
2019-04-22 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2019-04-22_final
2019-04-25 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-04-25_final
2019-05-02 11:55:17	ga_s2bm_ard_3-2-1_50JMR_2019-05-02_final
2019-05-05 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-05-05_final
2019-05-05 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2019-05-05_final
2019-05-05 12:05:06	ga_s2bm_ard_3-2-1_50JMR_2019-05-05_final
2019-05-12 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-05-12_final
2019-05-12 11:55:18	ga_s2bm_ard_3-2-1_50JMR_2019-05-12_final
2019-05-22 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-05-22 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-05-22_final
2019-05-22 11:55:18	ga_s2bm_ard_3-2-1_50JMR_2019-05-22_final
2019-06-04 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-04_final
2019-07-01 11:54:49	ga_s2bm_ard_3-2-1_50JMT_2019-07-01_final
2019-08-03 12:05:06	ga_s2bm_ard_3-2-1_50JMR_2019-08-03_final
2019-09-29 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-09-29_final
2019-10-29 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-10-29_final
2019-11-21 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2019-11-21_final
2019-11-25 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2019-11-25_final.stac-item
2019-11-28 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2019-11-28_final
2019-12-01 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2019-12-01_final
2019-12-21 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2019-12-21_final
2020-01-17 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2020-01-17_final
2020-04-06 11:54:47	ga_s2bm_ard_3-2-1_50JLS_2020-04-06_final
2020-05-16 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2020-05-16_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
2020-06-15 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-06-15_final
2020-06-25 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2020-06-25_final
2020-06-25 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-06-25_final
2020-08-07 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2020-08-07_final
2020-09-03 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2020-09-03_final
2020-09-03 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2020-09-03_final
2020-09-13 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-09-13_final
2020-10-13 11:54:44	ga_s2bm_ard_3-2-1_50JMT_2020-10-13_final
2020-11-15 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2020-11-15_final
2021-03-05 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2021-03-05_final
2021-04-27 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2021-04-27_final
2021-09-11 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2021-09-11_final
2021-10-21 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2021-10-21_final
2021-11-07 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2021-11-07_final
2021-11-10 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2021-11-10_final
2021-11-30 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2021-11-30_final
2021-12-10 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2021-12-10_final
2021-12-20 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2021-12-20_final
2022-01-03 11:46:20	ga_s2bm_ard_3-2-1_50HPK_2022-01-03_final
2022-01-26 11:54:34	ga_s2bm_ard_3-2-1_50JMT_2022-01-26_final
2022-03-17 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2022-03-17_final
2022-03-30 12:04:40	ga_s2bm_ard_3-2-1_50JMS_2022-03-30_final
2022-04-19 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2022-04-19_final
2022-04-19 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2022-04-19_final
2022-04-26 11:54:34	ga_s2bm_ard_3-2-1_50JMT_2022-04-26_final
2022-04-29 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-04-29_final
2022-06-25 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2022-06-25_final
2022-06-28 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2022-06-28_final
2022-06-28 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2022-06-28_final
2022-07-05 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2022-07-05_final
2022-07-08 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2022-07-08_final
2022-07-08 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2022-07-08_final
2022-07-08 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-07-08_final
2022-08-27 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-08-27_final.stac-item
2022-08-27 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2022-08-27_final
2022-10-26 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2022-10-26_final.stac-item
2023-01-11 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2023-01-11_final.stac-item
2023-01-24 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2023-01-24_final.stac-item
2023-05-21 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-05-21_final.stac-item
2023-06-10 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-06-10_final.stac-item
2023-06-23 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2023-06-23_final.stac-item
2023-06-30 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-06-30_final.stac-item
2023-07-10 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-07-10_final.stac-item
2023-08-29 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-08-29_final.stac-item
2023-09-01 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-09-01_final.stac-item
2023-10-31 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2023-10-31_final.stac-item
2023-11-20 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2023-11-20_final.stac-item
2024-04-15 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2024-04-15_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