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 11:59:31	ga_s2bm_ard_3-2-1_50JMT_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2017-07-04_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JPP_2017-07-11_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JMT_2017-07-24_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JPP_2017-07-31_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JQT_2017-11-08_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JQT_2017-11-18_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HQG_2017-12-12_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JQT_2018-02-06_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JHN_2018-03-04_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JFM_2018-03-24_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JQT_2018-05-07_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JMT_2018-05-20_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49JHN_2018-05-23_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JQT_2018-06-16_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JQT_2018-06-26_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JPP_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JQT_2018-09-24_final
2018-12-06 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2018-12-06_final
2018-12-13 11:54:27	ga_s2bm_ard_3-2-1_50KLU_2018-12-13_final
2019-01-02 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2019-01-02_final
2019-01-12 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2019-01-12_final
2019-04-05 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2019-04-05_final
2019-05-02 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-05-02_final
2019-05-12 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-05-12_final
2019-08-10 11:54:40	ga_s2bm_ard_3-2-1_50KLU_2019-08-10_final
2019-08-10 11:55:33	ga_s2bm_ard_3-2-1_50JPP_2019-08-10_final
2019-08-20 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2019-08-20_final
2019-09-09 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2019-09-09_final
2019-09-29 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2019-09-29_final
2019-10-09 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2019-10-09_final
2019-10-29 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2019-10-29_final
2019-11-08 11:54:33	ga_s2bm_ard_3-2-1_50KLU_2019-11-08_final
2019-11-18 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2019-11-18_final
2019-12-08 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2019-12-08_final
2019-12-28 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2019-12-28_final
2020-01-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-01-03_final
2020-01-07 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2020-01-07_final
2020-01-27 11:54:16	ga_s2bm_ard_3-2-1_50JQT_2020-01-27_final
2020-05-06 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2020-05-06_final
2020-05-26 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2020-05-26_final
2020-06-05 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2020-06-05_final
2020-07-25 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-07-25_final
2020-07-31 12:14:34	ga_s2bm_ard_3-2-1_49JHN_2020-07-31_final
2020-08-24 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2020-08-24_final
2020-09-13 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2020-09-13_final
2020-09-23 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2020-09-23_final
2020-09-23 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-09-23_final
2020-10-13 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2020-10-13_final
2020-10-23 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2020-10-23_final
2020-12-22 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2020-12-22_final
2021-01-11 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2021-01-11_final
2021-03-22 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2021-03-22_final
2021-05-14 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2021-05-14_final
2021-09-18 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2021-09-18_final
2021-11-27 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-11-27_final
2021-12-27 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2021-12-27_final
2022-01-06 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-01-06_final
2022-01-16 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-01-16_final
2022-01-26 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-01-26_final
2022-02-02 11:45:39	ga_s2bm_ard_3-2-1_50JNN_2022-02-02_final
2022-02-05 11:54:28	ga_s2bm_ard_3-2-1_50KLU_2022-02-05_final
2022-02-05 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2022-02-05_final
2022-03-07 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2022-03-07_final
2022-03-07 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2022-03-07_final
2022-03-17 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2022-03-17_final
2022-03-17 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2022-03-17_final
2022-04-16 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2022-04-16_final
2022-04-19 12:04:39	ga_s2bm_ard_3-2-1_50JMS_2022-04-19_final
2022-05-06 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2022-05-06_final
2022-05-09 12:04:40	ga_s2bm_ard_3-2-1_50JMS_2022-05-09_final
2022-07-08 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2022-07-08_final
2023-01-01 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2023-01-01_final.stac-item
2023-02-20 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2023-02-20_final.stac-item
2023-02-20 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2023-02-20_final.stac-item
2023-03-12 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-03-12_final.stac-item
2023-03-22 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-03-22_final.stac-item
2023-04-11 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2023-04-11_final.stac-item
2023-04-21 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-04-21_final.stac-item
2023-05-01 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-01_final.stac-item
2023-05-11 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-11_final.stac-item
2023-05-21 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-05-21_final.stac-item
2023-06-10 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-06-10_final.stac-item
2023-06-20 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-06-20_final.stac-item
2023-06-30 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-06-30_final.stac-item
2023-07-10 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-07-10_final.stac-item
2023-07-20 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2023-07-20_final.stac-item
2023-07-30 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2023-07-30_final.stac-item
2023-08-19 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-08-19_final.stac-item
2023-08-29 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-08-29_final.stac-item
2023-09-04 12:14:50	ga_s2bm_ard_3-2-1_49JFN_2023-09-04_final.stac-item
2023-10-01 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2023-10-01_final.stac-item
2023-10-08 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2023-10-08_final.stac-item
2023-11-17 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2023-11-17_final.stac-item
2023-11-27 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2023-11-27_final.stac-item
2023-12-07 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2023-12-07_final.stac-item
2024-02-05 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2024-02-05_final.stac-item
2024-02-25 11:54:23	ga_s2bm_ard_3-2-1_50JQT_2024-02-25_final.stac-item
2024-03-29 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2024-03-29_final.stac-item
2024-04-18 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2024-04-18_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