Search ga_s2bm_ard_3 across 2022

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
2022-01-04 09:37:43	ga_s2bm_ard_3-2-1_55HES_2022-01-04_final
2022-01-07 09:47:40	ga_s2bm_ard_3-2-1_55HES_2022-01-07_final
2022-01-07 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2022-01-07_final
2022-01-10 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2022-01-10_final
2022-01-14 09:37:43	ga_s2bm_ard_3-2-1_55HES_2022-01-14_final
2022-01-17 09:47:39	ga_s2bm_ard_3-2-1_55HES_2022-01-17_final
2022-01-17 09:47:43	ga_s2bm_ard_3-2-1_55HCS_2022-01-17_final
2022-01-17 09:47:46	ga_s2bm_ard_3-2-1_55HES_2022-01-17_final
2022-01-17 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2022-01-17_final
2022-01-20 09:57:42	ga_s2bm_ard_3-2-1_55HCS_2022-01-20_final
2022-01-24 09:37:42	ga_s2bm_ard_3-2-1_55HES_2022-01-24_final
2022-01-27 09:47:37	ga_s2bm_ard_3-2-1_55HES_2022-01-27_final
2022-01-27 09:47:45	ga_s2bm_ard_3-2-1_55HCS_2022-01-27_final
2022-01-30 09:57:41	ga_s2bm_ard_3-2-1_55HCS_2022-01-30_final
2022-02-03 09:37:42	ga_s2bm_ard_3-2-1_55HES_2022-02-03_final
2022-02-06 09:47:38	ga_s2bm_ard_3-2-1_55HES_2022-02-06_final
2022-02-06 09:47:45	ga_s2bm_ard_3-2-1_55HCS_2022-02-06_final
2022-02-09 09:57:41	ga_s2bm_ard_3-2-1_55HCS_2022-02-09_final
2022-02-13 09:37:41	ga_s2bm_ard_3-2-1_55HES_2022-02-13_final
2022-02-16 09:47:37	ga_s2bm_ard_3-2-1_55HES_2022-02-16_final
2022-02-16 09:47:44	ga_s2bm_ard_3-2-1_55HCS_2022-02-16_final
2022-02-19 09:57:41	ga_s2bm_ard_3-2-1_55HCS_2022-02-19_final
2022-02-23 09:37:42	ga_s2bm_ard_3-2-1_55HES_2022-02-23_final
2022-02-26 09:47:39	ga_s2bm_ard_3-2-1_55HES_2022-02-26_final
2022-02-26 09:47:46	ga_s2bm_ard_3-2-1_55HCS_2022-02-26_final
2022-03-01 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2022-03-01_final
2022-03-08 09:47:48	ga_s2bm_ard_3-2-1_55HCS_2022-03-08_final
2022-03-11 09:57:45	ga_s2bm_ard_3-2-1_55HCS_2022-03-11_final
2022-03-18 09:47:49	ga_s2bm_ard_3-2-1_55HCS_2022-03-18_final
2022-03-21 09:57:45	ga_s2bm_ard_3-2-1_55HCS_2022-03-21_final
2022-03-28 09:47:48	ga_s2bm_ard_3-2-1_55HCS_2022-03-28_final
2022-03-31 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2022-03-31_final
2022-04-07 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2022-04-07_final
2022-04-10 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2022-04-10_final
2022-04-17 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2022-04-17_final
2022-04-20 09:57:42	ga_s2bm_ard_3-2-1_55HCS_2022-04-20_final
2022-04-27 09:47:44	ga_s2bm_ard_3-2-1_55HCS_2022-04-27_final
2022-04-30 09:57:40	ga_s2bm_ard_3-2-1_55HCS_2022-04-30_final.stac-item
2022-05-07 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2022-05-07_final
2022-05-10 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2022-05-10_final
2022-05-17 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2022-05-17_final
2022-05-20 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2022-05-20_final
2022-05-27 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2022-05-27_final
2022-05-30 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2022-05-30_final
2022-06-06 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2022-06-06_final
2022-06-09 09:57:49	ga_s2bm_ard_3-2-1_55HCS_2022-06-09_final
2022-06-16 09:47:54	ga_s2bm_ard_3-2-1_55HCS_2022-06-16_final
2022-06-19 09:57:51	ga_s2bm_ard_3-2-1_55HCS_2022-06-19_final
2022-06-26 09:47:56	ga_s2bm_ard_3-2-1_55HCS_2022-06-26_final
2022-06-29 09:57:52	ga_s2bm_ard_3-2-1_55HCS_2022-06-29_final
2022-07-06 09:47:56	ga_s2bm_ard_3-2-1_55HCS_2022-07-06_final
2022-07-09 09:57:52	ga_s2bm_ard_3-2-1_55HCS_2022-07-09_final
2022-07-16 09:47:55	ga_s2bm_ard_3-2-1_55HCS_2022-07-16_final
2022-07-19 09:57:52	ga_s2bm_ard_3-2-1_55HCS_2022-07-19_final
2022-07-26 09:47:56	ga_s2bm_ard_3-2-1_55HCS_2022-07-26_final
2022-07-29 09:57:52	ga_s2bm_ard_3-2-1_55HCS_2022-07-29_final
2022-08-05 09:47:55	ga_s2bm_ard_3-2-1_55HCS_2022-08-05_final
2022-08-08 09:57:51	ga_s2bm_ard_3-2-1_55HCS_2022-08-08_final
2022-08-15 09:47:54	ga_s2bm_ard_3-2-1_55HCS_2022-08-15_final
2022-08-18 09:57:49	ga_s2bm_ard_3-2-1_55HCS_2022-08-18_final
2022-08-25 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2022-08-25_final
2022-08-28 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2022-08-28_final
2022-09-03 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2022-09-03_final.stac-item
2022-09-07 09:56:47	ga_s2bm_ard_3-2-1_55HDA_2022-09-07_final.stac-item
2022-09-10 10:06:59	ga_s2bm_ard_3-2-1_54HWF_2022-09-10_final.stac-item
2022-09-13 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2022-09-13_final.stac-item
2022-09-17 09:56:47	ga_s2bm_ard_3-2-1_55HDA_2022-09-17_final.stac-item
2022-09-20 10:06:59	ga_s2bm_ard_3-2-1_54HWF_2022-09-20_final.stac-item
2022-09-23 10:16:53	ga_s2bm_ard_3-2-1_54HWF_2022-09-23_final.stac-item
2022-09-24 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2022-09-24_final.stac-item
2022-09-27 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2022-09-27_final.stac-item
2022-09-30 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2022-09-30_final.stac-item
2022-10-03 10:16:51	ga_s2bm_ard_3-2-1_54HWF_2022-10-03_final.stac-item
2022-10-04 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-10-04_final.stac-item
2022-10-10 10:06:54	ga_s2bm_ard_3-2-1_55HBV_2022-10-10_final.stac-item
2022-10-10 10:06:55	ga_s2bm_ard_3-2-1_54HWF_2022-10-10_final.stac-item
2022-10-13 10:16:51	ga_s2bm_ard_3-2-1_54HWF_2022-10-13_final.stac-item
2022-10-14 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2022-10-14_final.stac-item
2022-10-20 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-10-20_final.stac-item
2022-10-23 10:16:51	ga_s2bm_ard_3-2-1_54HWF_2022-10-23_final.stac-item
2022-10-24 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2022-10-24_final.stac-item
2022-10-30 10:06:54	ga_s2bm_ard_3-2-1_55HBV_2022-10-30_final.stac-item
2022-10-30 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-10-30_final.stac-item
2022-11-02 10:16:50	ga_s2bm_ard_3-2-1_54HWF_2022-11-02_final.stac-item
2022-11-03 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-11-03_final.stac-item
2022-11-09 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-11-09_final.stac-item
2022-11-12 10:16:52	ga_s2bm_ard_3-2-1_54HWF_2022-11-12_final.stac-item
2022-11-19 10:06:55	ga_s2bm_ard_3-2-1_55HBV_2022-11-19_final.stac-item
2022-11-19 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2022-11-19_final.stac-item
2022-11-22 10:16:52	ga_s2bm_ard_3-2-1_54HWF_2022-11-22_final.stac-item
2022-11-29 10:06:54	ga_s2bm_ard_3-2-1_55HBV_2022-11-29_final.stac-item
2022-11-29 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-11-29_final.stac-item
2022-12-02 10:16:50	ga_s2bm_ard_3-2-1_54HWF_2022-12-02_final.stac-item
2022-12-09 10:06:53	ga_s2bm_ard_3-2-1_54HWF_2022-12-09_final.stac-item
2022-12-12 10:16:49	ga_s2bm_ard_3-2-1_54HWF_2022-12-12_final.stac-item
2022-12-17 09:26:32	ga_s2bm_ard_3-2-1_56HNF_2022-12-16_nrt.stac-item
2022-12-19 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-12-19_final.stac-item
2022-12-22 10:16:51	ga_s2bm_ard_3-2-1_54HWF_2022-12-22_final.stac-item
2022-12-27 09:26:33	ga_s2bm_ard_3-2-1_56HNF_2022-12-26_nrt.stac-item
2022-12-29 10:06:55	ga_s2bm_ard_3-2-1_55HBV_2022-12-29_final.stac-item

Return to ga_s2bm_ard_3 across 2022 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

2022

All months