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
2018-11-27 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2018-11-27_final
2018-11-30 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2018-11-30_final
2018-12-07 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2018-12-07_final
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final
2018-12-17 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2018-12-17_final
2018-12-20 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2018-12-20_final
2018-12-27 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2018-12-27_final.stac-item
2018-12-27 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2018-12-27_final
2018-12-30 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2018-12-30_final
2019-01-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-01-06_final
2019-01-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-01-09_final
2019-01-16 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-01-16_final
2019-01-19 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-01-19_final
2019-01-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-01-26_final
2019-01-29 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-01-29_final
2019-02-05 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-02-05_final
2019-02-08 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-02-08_final
2019-02-15 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-02-15_final
2019-02-18 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2019-02-18_final
2019-02-18 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-02-18_final
2019-02-25 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-02-25_final
2019-02-28 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2019-02-28_final
2019-03-10 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2019-03-10_final
2019-03-17 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-03-17_final
2019-03-20 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2019-03-20_final
2019-03-20 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2019-03-20_final
2019-03-27 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-03-27_final
2019-03-30 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2019-03-30_final
2019-04-06 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2019-04-06_final
2019-04-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2019-04-09_final
2019-04-16 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2019-04-16_final
2019-04-19 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-04-19_final
2019-04-26 11:36:55	ga_s2bm_ard_3-2-1_50HQJ_2019-04-26_final
2019-04-29 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-04-29_final
2019-04-29 11:46:56	ga_s2bm_ard_3-2-1_50HQJ_2019-04-29_final
2019-05-06 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-05-06_final
2019-05-09 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-05-09_final
2019-05-16 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-16_final
2019-05-19 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final
2019-05-19 11:46:55	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final
2019-05-29 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-05-29_final
2019-05-29 11:46:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-29_final
2019-06-05 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-06-05_final
2019-06-08 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-08_final
2019-06-15 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-06-15_final
2019-06-18 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-18_final
2019-06-25 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-06-25_final
2019-06-28 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-28_final
2021-03-22 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2021-03-22_final
2021-03-22 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-03-22_final
2021-04-21 11:53:50	ga_s2bm_ard_3-2-1_50KQV_2021-04-21_final
2021-04-21 11:53:52	ga_s2bm_ard_3-2-1_50KQV_2021-04-21_final
2021-05-21 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2021-05-21_final
2021-06-20 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-06-20_final
2021-07-10 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2021-07-10_final
2021-08-19 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2021-08-19_final
2021-10-08 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-10-08_final
2021-10-18 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-10-18_final
2021-11-24 11:43:58	ga_s2bm_ard_3-2-1_50KQV_2021-11-24_final
2022-03-01 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2022-03-01_final
2022-03-11 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-03-11_final
2022-03-21 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-03-21_final
2022-03-24 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-24_final
2022-03-31 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2022-03-31_final
2022-04-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-04-13_final
2022-04-23 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-04-23_final
2022-04-30 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2022-04-30_final
2022-05-10 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-05-10_final
2022-06-19 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-06-19_final
2022-07-09 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-09_final
2022-07-29 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-29_final
2022-08-08 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2022-08-08_final
2022-08-18 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-08-18_final
2022-08-21 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-08-21_final
2023-01-28 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-01-28_final.stac-item
2023-02-07 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-02-07_final.stac-item
2023-03-19 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-03-19_final.stac-item
2023-03-29 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-03-29_final.stac-item
2023-04-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-04-08_final.stac-item
2023-04-28 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-04-28_final.stac-item
2023-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-18_final.stac-item
2023-05-28 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-28_final.stac-item
2023-06-07 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-07_final.stac-item
2023-06-27 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-27_final.stac-item
2023-07-27 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2023-07-27_final.stac-item
2023-08-16 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-08-16_final.stac-item
2023-08-26 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-08-26_final.stac-item
2023-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-09-25_final.stac-item
2023-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2023-10-05_final.stac-item
2023-10-15 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-10-15_final.stac-item
2023-10-25 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-10-25_final.stac-item
2023-11-04 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-11-04_final.stac-item
2024-01-13 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2024-01-13_final.stac-item
2024-01-23 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2024-01-23_final.stac-item
2024-02-22 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2024-02-22_final.stac-item
2024-03-23 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-03-23_final.stac-item
2024-04-02 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2024-04-02_final.stac-item
2024-04-12 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-12_final.stac-item
2024-04-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-22_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