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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51JYG_2017-07-19_final
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_51JYG_2017-08-08_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYG_2017-08-28_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51JYG_2017-09-17_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51JYG_2017-10-07_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_51JYG_2017-10-27_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYG_2017-11-06_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51JYG_2017-11-16_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51JYG_2017-12-06_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51JYG_2017-12-16_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51JYG_2017-12-26_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51JYG_2018-01-05_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYG_2018-01-15_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JYG_2018-01-25_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JYG_2018-02-04_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51JYG_2018-02-14_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JYG_2018-02-24_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51JYG_2018-03-06_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51JYG_2018-03-16_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JYG_2018-03-26_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51JYG_2018-04-05_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51JYG_2018-04-15_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51JYG_2018-04-25_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51JYG_2018-05-05_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51JYG_2018-05-15_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51JYG_2018-05-25_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_51JYG_2018-06-04_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_51JYG_2018-06-14_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JYG_2018-06-24_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51JYG_2018-07-04_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_51JYG_2018-07-14_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYG_2018-07-24_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51JYG_2018-08-03_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_51JYG_2018-08-13_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51JYG_2018-08-23_final
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51JYG_2018-09-02_final
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51JYG_2018-09-12_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51JYG_2018-09-22_final
2020-01-15 11:15:48	ga_s2bm_ard_3-2-1_51JYG_2020-01-15_final
2020-06-23 11:15:56	ga_s2bm_ard_3-2-1_51JYG_2020-06-23_final
2020-08-12 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-08-12_final
2020-08-22 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-08-22_final
2020-09-01 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-09-01_final
2022-12-03 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2022-12-03_final.stac-item
2022-12-20 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2022-12-20_nrt.stac-item
2022-12-30 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2022-12-30_nrt.stac-item
2023-01-09 11:16:48	ga_s2bm_ard_3-2-1_51HYC_2023-01-09_nrt.stac-item
2023-01-19 11:16:49	ga_s2bm_ard_3-2-1_51HYC_2023-01-19_nrt.stac-item
2023-01-29 11:16:49	ga_s2bm_ard_3-2-1_51HYC_2023-01-29_nrt.stac-item
2023-02-08 11:16:49	ga_s2bm_ard_3-2-1_51HYC_2023-02-08_nrt.stac-item
2023-02-18 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2023-02-18_nrt.stac-item
2023-02-28 11:16:52	ga_s2bm_ard_3-2-1_51HYC_2023-02-28_nrt.stac-item
2023-03-10 11:16:55	ga_s2bm_ard_3-2-1_51HYC_2023-03-10_nrt.stac-item
2023-03-20 11:16:54	ga_s2bm_ard_3-2-1_51HYC_2023-03-20_nrt.stac-item
2023-03-30 11:16:55	ga_s2bm_ard_3-2-1_51HYC_2023-03-30_nrt.stac-item
2023-04-09 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-04-09_nrt.stac-item
2023-04-19 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-04-19_nrt.stac-item
2023-04-29 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-04-29_nrt.stac-item
2023-05-05 11:32:01	ga_s2bm_ard_3-2-1_51LYC_2023-05-05_final.stac-item
2023-05-09 11:16:54	ga_s2bm_ard_3-2-1_51HYC_2023-05-09_nrt.stac-item
2023-05-19 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-05-19_nrt.stac-item
2023-05-29 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-05-29_nrt.stac-item
2023-06-08 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-06-08_nrt.stac-item
2023-06-18 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-06-18_nrt.stac-item
2023-06-28 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-06-28_nrt.stac-item
2023-07-08 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-07-08_nrt.stac-item
2023-07-18 11:16:57	ga_s2bm_ard_3-2-1_51HYC_2023-07-18_nrt.stac-item
2023-07-28 11:16:57	ga_s2bm_ard_3-2-1_51HYC_2023-07-28_nrt.stac-item
2023-08-07 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-08-07_nrt.stac-item
2023-08-17 11:16:57	ga_s2bm_ard_3-2-1_51HYC_2023-08-17_nrt.stac-item
2023-08-27 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-08-27_nrt.stac-item
2023-09-06 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-09-06_nrt.stac-item
2023-09-16 11:16:54	ga_s2bm_ard_3-2-1_51HYC_2023-09-16_nrt.stac-item
2023-09-26 11:16:54	ga_s2bm_ard_3-2-1_51HYC_2023-09-26_nrt.stac-item
2023-10-06 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2023-10-06_nrt.stac-item
2023-10-16 11:16:54	ga_s2bm_ard_3-2-1_51HYC_2023-10-16_nrt.stac-item
2023-10-26 11:16:52	ga_s2bm_ard_3-2-1_51HYC_2023-10-26_nrt.stac-item
2023-11-05 11:16:54	ga_s2bm_ard_3-2-1_51HYC_2023-11-05_nrt.stac-item
2023-11-15 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2023-11-15_nrt.stac-item
2023-11-25 11:16:47	ga_s2bm_ard_3-2-1_51HYC_2023-11-25_nrt.stac-item
2023-12-15 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2023-12-15_nrt.stac-item
2023-12-25 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-12-25_nrt.stac-item
2024-01-04 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2024-01-04_nrt.stac-item
2024-01-14 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2024-01-14_nrt.stac-item
2024-01-24 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2024-01-24_nrt.stac-item
2024-02-03 11:16:49	ga_s2bm_ard_3-2-1_51HYC_2024-02-03_nrt.stac-item
2024-02-13 11:16:52	ga_s2bm_ard_3-2-1_51HYC_2024-02-13_nrt.stac-item
2024-02-19 11:31:55	ga_s2bm_ard_3-2-1_51LYC_2024-02-19_final.stac-item
2024-02-23 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2024-02-23_nrt.stac-item
2024-03-04 11:16:47	ga_s2bm_ard_3-2-1_51HYC_2024-03-04_nrt.stac-item
2024-03-14 11:16:49	ga_s2bm_ard_3-2-1_51HYC_2024-03-14_nrt.stac-item
2024-03-24 11:16:52	ga_s2bm_ard_3-2-1_51HYC_2024-03-24_nrt.stac-item
2024-03-30 11:31:56	ga_s2bm_ard_3-2-1_51LYC_2024-03-30_final.stac-item
2024-04-03 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2024-04-03_nrt.stac-item
2024-04-13 11:16:52	ga_s2bm_ard_3-2-1_51HYC_2024-04-13_nrt.stac-item
2024-04-23 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2024-04-23_nrt.stac-item
2024-05-03 11:16:52	ga_s2bm_ard_3-2-1_51HYC_2024-05-03_nrt.stac-item
2024-05-13 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2024-05-13_nrt.stac-item
2024-05-23 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2024-05-23_nrt.stac-item
2024-05-29 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2024-05-29_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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