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_50JLS_2017-07-04_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLS_2017-07-11_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLS_2017-07-24_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLS_2017-07-31_final
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_50JLS_2017-08-03_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JLQ_2017-10-02_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_50JLT_2017-10-02_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHP_2017-10-05_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_50JKT_2017-10-22_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLR_2017-11-01_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLG_2017-11-15_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLR_2017-11-21_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JLR_2017-12-01_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JMQ_2018-01-27_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2018-01-27_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JMQ_2018-03-08_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMQ_2018-04-17_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2018-05-10_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HLG_2018-06-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLS_2018-06-29_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HLG_2018-10-11_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HMG_2018-10-14_final.stac-item
2018-11-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2018-11-06_final
2018-11-26 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2018-11-26_final
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-02-11 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2019-02-11_final
2019-04-25 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-04-25_final
2019-05-02 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-05-02_final
2019-05-05 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-05-05_final
2019-05-12 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-05-12_final
2019-05-15 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final
2019-05-22 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-06-01 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-06-01_final
2019-08-17 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-12-01 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2019-12-01_final
2019-12-08 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2019-12-08_final
2019-12-11 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2019-12-11_final
2019-12-15 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-15_final.stac-item
2019-12-21 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2019-12-21_final
2019-12-28 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2019-12-28_final
2020-01-07 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2020-01-07_final
2020-01-20 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2020-01-20_final
2020-01-30 12:04:51	ga_s2bm_ard_3-2-1_50JMR_2020-01-30_final
2020-02-16 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2020-02-16_final
2020-02-29 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2020-02-29_final
2020-04-09 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2020-04-09_final
2020-04-19 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2020-04-19_final
2020-05-16 11:54:50	ga_s2bm_ard_3-2-1_50JLS_2020-05-16_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
2020-07-15 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2020-07-15_final
2020-07-28 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-07-28_final
2020-08-27 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2020-08-27_final
2020-08-27 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2020-08-27_final
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 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2020-09-06_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
2020-10-13 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-10-13_final
2020-10-20 11:46:20	ga_s2bm_ard_3-2-1_50JML_2020-10-20_final
2020-12-22 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2020-12-22_final
2021-03-29 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-03-29_final.stac-item
2021-04-14 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2021-04-14_final
2021-04-21 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2021-04-21_final
2021-05-14 12:04:45	ga_s2bm_ard_3-2-1_50JLS_2021-05-14_final
2021-06-17 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-06-17_final.stac-item
2021-07-13 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-13_final.stac-item
2021-10-11 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2021-10-11_final
2021-11-10 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2021-11-10_final
2022-02-18 12:04:52	ga_s2bm_ard_3-2-1_50JMR_2022-02-18_final
2022-03-10 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2022-03-10_final
2022-03-10 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-03-10_final
2022-05-06 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2022-05-06_final
2022-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2022-05-23_final.stac-item
2022-06-25 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2022-06-25_final
2022-07-02 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2022-07-02_final.stac-item
2022-07-05 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2022-07-05_final
2022-07-15 11:55:02	ga_s2bm_ard_3-2-1_50JLS_2022-07-15_final
2022-07-25 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2022-07-25_final
2022-08-14 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2022-08-14_final
2022-08-24 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2022-08-24_final.stac-item
2022-09-26 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2022-09-26_final.stac-item
2022-11-02 11:55:16	ga_s2bm_ard_3-2-1_50JMQ_2022-11-02_final.stac-item
2022-12-22 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2022-12-22_final.stac-item
2023-01-21 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2023-01-21_final.stac-item
2023-01-31 11:55:21	ga_s2bm_ard_3-2-1_50JMQ_2023-01-31_final.stac-item
2023-02-13 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2023-02-13_final.stac-item
2023-02-16 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-02-16_nrt.stac-item
2023-02-20 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2023-02-20_final.stac-item
2023-02-27 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2023-02-27_final.stac-item
2023-03-15 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-03-15_final.stac-item
2023-04-21 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2023-04-21_final.stac-item
2023-05-01 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2023-05-01_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2023-05-04_final.stac-item
2023-07-03 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-07-03_final.stac-item
2023-07-10 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2023-07-10_final.stac-item
2023-08-09 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-08-09_final.stac-item
2023-10-18 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2023-10-18_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