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
2019-01-15 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-01-15_final.stac-item
2019-01-25 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-01-25_final.stac-item
2019-02-04 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-02-04_final.stac-item
2019-02-14 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-02-14_final.stac-item
2019-03-06 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-03-06_final.stac-item
2019-03-16 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-03-16_final.stac-item
2019-03-26 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-03-26_final.stac-item
2019-04-05 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2019-04-05_final.stac-item
2019-04-15 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2019-04-15_final.stac-item
2019-04-25 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-04-25_final.stac-item
2019-05-05 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-05-05_final.stac-item
2019-05-15 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-05-15_final.stac-item
2019-05-25 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-05-25_final.stac-item
2019-06-04 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-06-04_final.stac-item
2019-06-14 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-06-14_final.stac-item
2019-06-24 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-06-24_final.stac-item
2019-07-04 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-04_final.stac-item
2019-07-14 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-14_final.stac-item
2019-07-24 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-24_final.stac-item
2019-08-03 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-08-03_final.stac-item
2019-08-13 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-08-13_final.stac-item
2019-08-23 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2019-08-23_final.stac-item
2019-09-02 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2019-09-02_final.stac-item
2019-09-12 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-09-12_final.stac-item
2019-09-22 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-09-22_final.stac-item
2019-10-02 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-02_final.stac-item
2019-10-12 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-12_final.stac-item
2019-10-22 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-22_final.stac-item
2019-11-01 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-11-01_final.stac-item
2019-11-11 12:05:57	ga_s2bm_ard_3-2-1_49JGH_2019-11-11_final.stac-item
2019-11-21 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-11-21_final.stac-item
2019-12-01 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-01_final.stac-item
2019-12-11 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2019-12-11_final.stac-item
2019-12-21 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-21_final.stac-item
2019-12-31 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-31_final.stac-item
2020-01-10 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2020-01-10_final.stac-item
2020-01-20 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2020-01-20_final.stac-item
2020-01-30 12:05:50	ga_s2bm_ard_3-2-1_49JGH_2020-01-30_final.stac-item
2020-02-09 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2020-02-09_final.stac-item
2020-11-08 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-11-08_final
2020-11-18 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2020-11-18_final
2020-11-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2020-11-28_final
2020-12-08 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-08_final
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2020-12-28 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-28_final
2021-01-07 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-01-07_final
2021-01-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-17_final
2021-01-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-27_final
2021-02-06 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-02-06_final
2021-02-16 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-16_final
2021-02-26 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-26_final
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final
2021-03-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-18_final
2021-03-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-28_final
2021-04-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2021-04-07_final
2021-04-17 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-04-27 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-04-27_final
2021-05-07 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-07_final
2021-05-17 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-05-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-05-27_final
2021-06-06 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-06_final
2021-06-16 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-16_final
2021-06-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-26_final
2021-07-06 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-06_final
2021-07-16 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-07-16_final
2021-07-16 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2021-07-16_final
2021-07-26 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-26_final
2021-08-05 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-08-05_final
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final
2021-08-25 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-08-25_final
2021-09-04 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-09-04_final
2021-09-14 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final
2021-09-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final
2021-09-24 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-09-24_final
2021-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-10-04_final
2021-10-11 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2021-10-11_final.stac-item
2021-10-14 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-10-14_final
2021-10-21 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2021-10-21_final.stac-item
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final
2021-10-31 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2021-10-31_final.stac-item
2021-11-03 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-11-03_final
2021-11-13 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-11-13_final
2021-11-23 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-11-23_final
2021-12-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-03_final
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final
2021-12-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-23_final
2022-01-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-01-02_final
2022-01-12 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2022-01-12_final
2023-10-24 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-10-24_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2023-11-23_final.stac-item
2023-12-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-12-03_final.stac-item
2024-01-22 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-01-22_final.stac-item
2024-02-01 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-02-01_final.stac-item
2024-02-21 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-21_final.stac-item
2024-04-01 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-04-01_final.stac-item
2024-04-11 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-04-11_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

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