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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51LXC_2017-11-22_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51LXC_2017-12-02_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51LXC_2017-12-22_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51LXC_2018-01-01_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LXC_2018-01-31_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51LXC_2018-02-10_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51LXC_2018-02-20_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51LXC_2018-03-12_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51LXC_2018-03-22_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51LXC_2018-05-01_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51LXC_2018-05-21_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51LXC_2018-07-10_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51LXC_2018-08-09_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51LXC_2018-08-29_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51LXC_2018-09-08_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51LXC_2018-09-28_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51LXC_2018-10-08_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51LXC_2018-10-18_final
2018-11-27 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2018-11-27_final
2018-12-07 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2018-12-07_final
2019-01-26 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-01-26_final
2019-02-05 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-02-05_final
2019-02-15 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2019-02-15_final
2019-02-25 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2019-02-25_final
2019-03-17 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2019-03-17_final
2019-03-27 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-03-27_final
2019-04-06 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2019-04-06_final
2019-04-26 11:32:04	ga_s2bm_ard_3-2-1_51LXC_2019-04-26_final
2019-05-06 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-05-06_final
2019-05-16 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-05-16_final
2019-05-26 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-05-26_final
2019-06-05 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-06-05_final
2019-06-15 11:32:04	ga_s2bm_ard_3-2-1_51LXC_2019-06-15_final
2019-06-25 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-06-25_final
2019-07-05 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-07-05_final
2019-07-15 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-07-15_final
2019-07-25 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-07-25_final
2019-08-04 11:32:04	ga_s2bm_ard_3-2-1_51LXC_2019-08-04_final
2019-08-14 11:32:03	ga_s2bm_ard_3-2-1_51LXC_2019-08-14_final
2019-08-24 11:32:02	ga_s2bm_ard_3-2-1_51LXC_2019-08-24_final
2019-09-03 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2019-09-03_final
2019-09-13 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-09-13_final
2019-09-23 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2019-09-23_final
2019-10-03 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-10-03_final
2019-10-13 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-10-13_final
2019-10-23 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-10-23_final
2019-11-02 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-11-02_final
2019-11-12 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2019-11-12_final
2019-11-22 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2019-11-22_final
2019-12-02 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2019-12-02_final
2019-12-12 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2019-12-12_final
2019-12-22 11:31:52	ga_s2bm_ard_3-2-1_51LXC_2019-12-22_final
2020-01-01 11:31:52	ga_s2bm_ard_3-2-1_51LXC_2020-01-01_final
2020-01-11 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2020-01-11_final
2020-01-21 11:31:50	ga_s2bm_ard_3-2-1_51LXC_2020-01-21_final
2020-01-31 11:31:49	ga_s2bm_ard_3-2-1_51LXC_2020-01-31_final
2020-02-10 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2020-02-10_final
2020-02-20 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2020-02-20_final
2020-03-01 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2020-03-01_final
2020-03-11 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2020-03-11_final
2020-03-21 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2020-03-21_final
2020-03-31 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2020-03-31_final
2020-04-10 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2020-04-10_final
2020-04-20 11:31:52	ga_s2bm_ard_3-2-1_51LXC_2020-04-20_final
2020-04-30 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2020-04-30_final
2020-05-10 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2020-05-10_final
2020-05-20 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2020-05-20_final
2020-05-30 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2020-05-30_final
2020-06-09 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-06-09_final
2020-06-19 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-06-19_final
2020-06-29 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-06-29_final
2020-07-09 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2020-07-09_final
2020-07-19 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2020-07-19_final
2020-07-29 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-07-29_final
2020-08-08 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2020-08-08_final
2020-08-18 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2020-08-18_final
2020-08-28 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2020-08-28_final
2020-09-07 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-09-07_final
2020-09-17 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2020-09-17_final
2020-09-27 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-09-27_final
2020-10-07 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2020-10-07_final
2020-10-17 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2020-10-17_final
2020-10-27 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2020-10-27_final
2020-11-06 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-11-06_final
2020-11-16 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2020-11-16_final
2020-11-26 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2020-11-26_final
2020-12-06 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2020-12-06_final
2020-12-16 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2020-12-16_final
2020-12-26 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2020-12-26_final
2021-01-05 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-01-05_final
2021-01-15 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-01-15_final
2021-01-25 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-01-25_final
2021-02-04 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-02-04_final
2021-02-14 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-02-14_final
2021-02-24 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-02-24_final
2021-03-06 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-03-06_final
2021-03-16 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-03-16_final
2021-03-26 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-03-26_final
2021-04-05 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2021-04-05_final
2021-04-15 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2021-04-15_final

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