Search ga_s2bm_ard_3 across January 2018

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
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_55HBD_2018-01-01_final
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_55HCC_2018-01-01_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51JUG_2018-01-01_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51JTF_2018-01-01_final
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_51JTF_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HLH_2018-01-01_final.stac-item
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_51HYD_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JBL_2018-01-02_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_55HBD_2018-01-04_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_54JXM_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51JTF_2018-01-04_final
2018-01-05 09:32:32	ga_s2bm_ard_3-2-1_56HKJ_2018-01-05_final
2018-01-05 09:32:32	ga_s2bm_ard_3-2-1_56HLH_2018-01-05_final.stac-item
2018-01-05 09:32:32	ga_s2bm_ard_3-2-1_55HFC_2018-01-05_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51HYD_2018-01-05_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51HXC_2018-01-05_final.stac-item
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52JCM_2018-01-05_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52JBL_2018-01-05_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53JKF_2018-01-06_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54HUH_2018-01-07_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54JXM_2018-01-07_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JLM_2018-01-07_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50JLM_2018-01-07_final
2018-01-08 09:42:19	ga_s2bm_ard_3-2-1_55HCC_2018-01-08_final
2018-01-08 09:42:19	ga_s2bm_ard_3-2-1_55HFC_2018-01-08_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HUC_2018-01-08_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51JUG_2018-01-08_final
2018-01-09 10:53:06	ga_s2bm_ard_3-2-1_53JKF_2018-01-09_final
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_53HQD_2018-01-10_final
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_54HUH_2018-01-10_final
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_54JTL_2018-01-10_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLM_2018-01-10_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55HBD_2018-01-11_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55HCC_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JUG_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JTF_2018-01-11_final
2018-01-12 09:23:16	ga_s2bm_ard_3-2-1_56HLH_2018-01-11_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_51HYD_2018-01-12_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JBL_2018-01-12_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_55HBD_2018-01-14_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54JXM_2018-01-14_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51JTF_2018-01-14_final
2018-01-15 09:32:53	ga_s2bm_ard_3-2-1_56HKJ_2018-01-15_final
2018-01-15 09:32:53	ga_s2bm_ard_3-2-1_56HLH_2018-01-15_final.stac-item
2018-01-15 09:32:53	ga_s2bm_ard_3-2-1_55HFC_2018-01-15_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HYD_2018-01-15_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HXC_2018-01-15_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JCM_2018-01-15_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JBL_2018-01-15_final
2018-01-16 10:42:58	ga_s2bm_ard_3-2-1_53HMC_2018-01-16_final.stac-item
2018-01-16 10:42:58	ga_s2bm_ard_3-2-1_53JKF_2018-01-16_final
2018-01-17 10:11:24	ga_s2bm_ard_3-2-1_54HUH_2018-01-17_final
2018-01-17 10:11:24	ga_s2bm_ard_3-2-1_54JXM_2018-01-17_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLM_2018-01-17_final
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55HCC_2018-01-18_final
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55HFC_2018-01-18_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HUC_2018-01-18_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HXC_2018-01-18_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51JUG_2018-01-18_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53JKF_2018-01-19_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_53HQD_2018-01-20_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_54HUH_2018-01-20_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_54JTL_2018-01-20_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JLM_2018-01-20_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JLL_2018-01-20_final
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HBD_2018-01-21_final
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCC_2018-01-21_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JUG_2018-01-21_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_51JTF_2018-01-21_final
2018-01-22 09:23:49	ga_s2bm_ard_3-2-1_56HLH_2018-01-21_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_51HYD_2018-01-22_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52JBL_2018-01-22_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HBD_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXM_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTF_2018-01-24_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HKJ_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HLH_2018-01-25_final.stac-item
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFC_2018-01-25_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51HYD_2018-01-25_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51HXC_2018-01-25_final.stac-item
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52JCM_2018-01-25_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52JBL_2018-01-25_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53JKF_2018-01-26_final
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54HUH_2018-01-27_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLM_2018-01-27_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLL_2018-01-27_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2018-01-27_final
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HCC_2018-01-28_final
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HFC_2018-01-28_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HUC_2018-01-28_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HXC_2018-01-28_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JUG_2018-01-28_final
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_53JKF_2018-01-29_final
2018-01-30 10:23:21	ga_s2bm_ard_3-2-1_53HQD_2018-01-30_final
2018-01-30 10:23:21	ga_s2bm_ard_3-2-1_54HUH_2018-01-30_final
2018-01-30 10:23:21	ga_s2bm_ard_3-2-1_54JTL_2018-01-30_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JLM_2018-01-30_final
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HBD_2018-01-31_final
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCC_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUG_2018-01-31_final

Return to ga_s2bm_ard_3 across January 2018 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

2018

January

All days