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
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50KRA_2018-07-23_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_50KRA_2018-08-02_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50KRA_2018-08-12_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50KRA_2018-08-22_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50KRA_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50KRA_2018-09-11_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KRA_2018-09-21_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KRA_2018-10-01_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50KRA_2018-10-11_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50KRA_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50KRA_2018-10-31_final
2018-11-10 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2018-11-10_final
2018-11-20 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2018-11-20_final
2018-11-30 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2018-11-30_final
2018-12-20 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2018-12-20_final
2018-12-30 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2018-12-30_final
2019-01-09 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2019-01-09_final
2019-01-19 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-01-19_final
2019-01-29 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-01-29_final
2019-02-08 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2019-02-08_final
2019-02-28 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2019-02-28_final
2019-03-10 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2019-03-10_final
2019-03-30 11:43:49	ga_s2bm_ard_3-2-1_50KRA_2019-03-30_final
2019-04-19 11:43:53	ga_s2bm_ard_3-2-1_50KRA_2019-04-19_final
2019-05-09 11:43:56	ga_s2bm_ard_3-2-1_50KRA_2019-05-09_final
2019-05-19 11:43:56	ga_s2bm_ard_3-2-1_50KRA_2019-05-19_final
2019-05-29 11:43:56	ga_s2bm_ard_3-2-1_50KRA_2019-05-29_final
2019-06-08 11:43:55	ga_s2bm_ard_3-2-1_50KRA_2019-06-08_final
2019-06-18 11:43:55	ga_s2bm_ard_3-2-1_50KRA_2019-06-18_final
2019-06-28 11:43:56	ga_s2bm_ard_3-2-1_50KRA_2019-06-28_final
2019-07-28 11:43:55	ga_s2bm_ard_3-2-1_50KRA_2019-07-28_final
2019-08-07 11:43:55	ga_s2bm_ard_3-2-1_50KRA_2019-08-07_final
2019-08-17 11:43:53	ga_s2bm_ard_3-2-1_50KRA_2019-08-17_final
2019-08-27 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2019-08-27_final
2019-09-06 11:43:50	ga_s2bm_ard_3-2-1_50KRA_2019-09-06_final
2019-09-16 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-09-16_final
2019-09-26 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-09-26_final
2019-10-06 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2019-10-06_final
2019-10-16 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2019-10-16_final
2019-10-26 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2019-10-26_final
2019-11-05 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-11-05_final
2019-11-15 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2019-11-15_final
2019-11-25 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2019-11-25_final
2019-12-05 11:43:41	ga_s2bm_ard_3-2-1_50KRA_2019-12-05_final
2019-12-15 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2019-12-15_final
2019-12-25 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2019-12-25_final
2020-01-04 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2020-01-04_final
2020-01-14 11:43:40	ga_s2bm_ard_3-2-1_50KRA_2020-01-14_final
2022-12-12 11:51:14	ga_s2bm_ard_3-2-1_51LTF_2022-12-12_nrt.stac-item
2022-12-22 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2022-12-22_nrt.stac-item
2023-01-01 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2023-01-01_nrt.stac-item
2023-01-11 11:51:13	ga_s2bm_ard_3-2-1_51LTF_2023-01-11_nrt.stac-item
2023-01-21 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2023-01-21_nrt.stac-item
2023-01-31 11:51:14	ga_s2bm_ard_3-2-1_51LTF_2023-01-31_nrt.stac-item
2023-02-10 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2023-02-10_nrt.stac-item
2023-03-12 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-03-12_nrt.stac-item
2023-03-22 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-03-22_nrt.stac-item
2023-04-01 11:51:20	ga_s2bm_ard_3-2-1_51LTF_2023-04-01_nrt.stac-item
2023-04-11 11:51:18	ga_s2bm_ard_3-2-1_51LTF_2023-04-11_nrt.stac-item
2023-04-21 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-04-21_nrt.stac-item
2023-05-01 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-05-01_nrt.stac-item
2023-05-11 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-05-11_nrt.stac-item
2023-05-21 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-05-21_nrt.stac-item
2023-05-31 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-05-31_nrt.stac-item
2023-06-10 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-06-10_nrt.stac-item
2023-06-20 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-06-20_nrt.stac-item
2023-06-30 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-06-30_nrt.stac-item
2023-07-10 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-07-10_nrt.stac-item
2023-07-20 11:51:23	ga_s2bm_ard_3-2-1_51LTF_2023-07-20_nrt.stac-item
2023-07-30 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-07-30_nrt.stac-item
2023-08-09 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-08-09_nrt.stac-item
2023-08-19 11:51:22	ga_s2bm_ard_3-2-1_51LTF_2023-08-19_nrt.stac-item
2023-08-29 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-08-29_nrt.stac-item
2023-09-08 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-09-08_nrt.stac-item
2023-09-18 11:51:20	ga_s2bm_ard_3-2-1_51LTF_2023-09-18_nrt.stac-item
2023-09-28 11:51:20	ga_s2bm_ard_3-2-1_51LTF_2023-09-28_nrt.stac-item
2023-10-08 11:51:17	ga_s2bm_ard_3-2-1_51LTF_2023-10-08_nrt.stac-item
2023-10-18 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-10-18_nrt.stac-item
2023-10-28 11:51:18	ga_s2bm_ard_3-2-1_51LTF_2023-10-28_nrt.stac-item
2023-11-07 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-11-07_nrt.stac-item
2023-11-17 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2023-11-17_nrt.stac-item
2023-11-27 11:51:13	ga_s2bm_ard_3-2-1_51LTF_2023-11-27_nrt.stac-item
2023-12-07 11:51:13	ga_s2bm_ard_3-2-1_51LTF_2023-12-07_nrt.stac-item
2023-12-17 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2023-12-17_nrt.stac-item
2023-12-21 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2023-12-21_final.stac-item
2023-12-27 11:51:18	ga_s2bm_ard_3-2-1_51LTF_2023-12-27_nrt.stac-item
2024-01-06 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2024-01-06_nrt.stac-item
2024-01-06 11:51:23	ga_s2bm_ard_3-2-1_51LTF_2024-01-06_nrt.stac-item
2024-01-16 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2024-01-16_nrt.stac-item
2024-01-26 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-01-26_nrt.stac-item
2024-02-05 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-02-05_nrt.stac-item
2024-02-15 11:51:18	ga_s2bm_ard_3-2-1_51LTF_2024-02-15_nrt.stac-item
2024-03-06 11:51:12	ga_s2bm_ard_3-2-1_51LTF_2024-03-06_nrt.stac-item
2024-03-16 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-03-16_nrt.stac-item
2024-03-26 11:51:17	ga_s2bm_ard_3-2-1_51LTF_2024-03-26_nrt.stac-item
2024-04-05 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-04-05_nrt.stac-item
2024-04-15 11:51:18	ga_s2bm_ard_3-2-1_51LTF_2024-04-15_nrt.stac-item
2024-04-25 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-04-25_nrt.stac-item
2024-05-05 11:51:17	ga_s2bm_ard_3-2-1_51LTF_2024-05-05_nrt.stac-item
2024-05-15 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-05-15_nrt.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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