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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JMS_2017-08-20_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLT_2017-09-29_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JMQ_2018-01-27_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-02-22_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JMS_2018-03-01_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JMS_2018-03-21_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
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JMR_2018-05-10_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLT_2018-05-17_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JMS_2018-06-09_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JMR_2018-06-16_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_50JMR_2018-07-09_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JMR_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50JMS_2018-07-29_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JMR_2018-08-08_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JMS_2018-08-25_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50JMR_2018-08-28_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLT_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JMQ_2018-09-24_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JMS_2018-10-07_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JMR_2018-10-24_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JMS_2018-10-27_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLT_2018-11-03_final
2018-12-13 11:54:38	ga_s2bm_ard_3-2-1_50JLT_2018-12-13_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
2019-01-25 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2019-01-25_final
2019-02-21 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2019-02-21_final
2019-02-27 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2019-02-27_final.stac-item
2019-04-22 11:55:30	ga_s2bm_ard_3-2-1_50JMQ_2019-04-22_final
2019-04-25 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-04-25_final
2019-05-02 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-05-02_final
2019-05-02 11:55:17	ga_s2bm_ard_3-2-1_50JMR_2019-05-02_final
2019-05-02 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-05-02_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
2019-05-12 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-05-12_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
2019-06-14 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_50JLS_2019-06-21_final
2019-07-14 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-07-14_final
2019-09-29 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-09-29_final
2019-10-25 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2019-10-25_final
2019-10-29 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-10-29_final
2020-02-02 12:13:33	ga_s2bm_ard_3-2-1_49KHS_2020-02-02_final.stac-item
2020-05-16 11:54:50	ga_s2bm_ard_3-2-1_50JLS_2020-05-16_final
2020-05-16 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2020-05-16_final
2020-06-05 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2020-06-05_final
2020-06-15 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-06-15_final
2020-06-25 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-06-25_final
2020-07-05 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-07-05_final
2020-07-15 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2020-07-15_final
2020-07-25 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-07-25_final
2020-08-14 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-08-14_final
2020-08-24 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-08-24_final
2020-09-16 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2020-09-16_final
2021-03-25 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2021-03-25_final
2021-05-14 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2021-05-14_final
2021-05-21 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2021-05-21_final
2021-08-22 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2021-08-22_final
2021-10-01 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2021-10-01_final
2021-10-18 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-10-18_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
2022-04-19 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2022-04-19_final
2022-06-28 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2022-06-28_final
2022-07-08 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-07-08_final
2022-07-15 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2022-07-15_final
2022-07-19 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2022-07-19_final.stac-item
2022-08-24 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2022-08-24_final
2022-09-26 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2022-09-26_final.stac-item
2022-11-18 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-11-18_final.stac-item
2023-01-01 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-01-01_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 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2023-01-24_final.stac-item
2023-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2023-02-16_final.stac-item
2023-03-15 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-03-15_final.stac-item
2023-03-15 12:05:12	ga_s2bm_ard_3-2-1_50JLR_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
2023-05-04 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2023-05-04_final.stac-item
2023-05-11 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2023-05-11_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
2023-07-30 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-07-30_final.stac-item
2023-08-19 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2023-08-19_final.stac-item
2023-10-28 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2023-10-28_final.stac-item
2023-11-07 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2023-11-07_final.stac-item
2023-11-17 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2023-11-17_final.stac-item
2023-11-17 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-11-17_final.stac-item
2023-12-07 11:55:21	ga_s2bm_ard_3-2-1_50JMQ_2023-12-07_final.stac-item
2023-12-17 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-12-17_final.stac-item
2024-01-06 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2024-01-06_final.stac-item
2024-01-16 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2024-01-16_final.stac-item
2024-01-26 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2024-01-26_final.stac-item
2024-04-15 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2024-04-15_final.stac-item
2024-04-28 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2024-04-28_final.stac-item
2024-05-05 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2024-05-05_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