Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53JKF_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JEL_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53JKG_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JEM_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JFL_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JFM_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JGL_2018-01-19_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JGM_2018-01-19_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JBF_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JBG_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCF_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCG_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JDF_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JDG_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JEF_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JEG_2018-01-21_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JWL_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JWM_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXL_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JBF_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXM_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JBG_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JYL_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCF_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JYM_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCG_2018-01-24_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54JUL_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54JVL_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54JWL_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54JXL_2018-01-27_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JBF_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JBG_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCF_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCG_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JDF_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JDG_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JEF_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JEG_2018-01-31_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JKF_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JKG_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JLF_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JLG_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JMF_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_52JGL_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JMG_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_52JGM_2018-04-06_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JNG_2018-04-06_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JTF_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JTG_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUF_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUG_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVF_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVG_2018-04-11_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JKM_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLL_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLM_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JML_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JMM_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNL_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNM_2018-05-07_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JKL_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JKM_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JLL_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JLM_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JML_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JMM_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_55JGF_2018-08-13_final.stac-item
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_55JGG_2018-08-13_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51JXF_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51JXG_2018-08-16_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JTF_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JTG_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JUF_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JUG_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JVF_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JVG_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50JQL_2018-08-19_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50JQM_2018-08-19_final.stac-item
2020-06-10 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2020-06-10_final.stac-item
2020-06-10 11:05:51	ga_s2bm_ard_3-2-1_52JDM_2020-06-10_final.stac-item
2020-06-10 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2020-06-10_final.stac-item
2020-06-10 11:06:00	ga_s2bm_ard_3-2-1_52JBM_2020-06-10_final.stac-item
2020-06-10 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2020-06-10_final.stac-item
2020-06-10 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2020-06-10_final.stac-item
2020-06-10 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2020-06-10_final.stac-item
2020-06-10 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2020-06-10_final.stac-item
2020-06-13 09:35:08	ga_s2bm_ard_3-2-1_56JMM_2020-06-13_final.stac-item
2020-06-13 09:35:12	ga_s2bm_ard_3-2-1_56JLM_2020-06-13_final.stac-item
2020-06-13 09:35:15	ga_s2bm_ard_3-2-1_56JKM_2020-06-13_final.stac-item
2020-06-13 09:35:17	ga_s2bm_ard_3-2-1_55JGG_2020-06-13_final.stac-item
2020-06-13 09:35:23	ga_s2bm_ard_3-2-1_56JML_2020-06-13_final.stac-item
2020-06-13 09:35:27	ga_s2bm_ard_3-2-1_56JLL_2020-06-13_final.stac-item
2020-06-13 09:35:30	ga_s2bm_ard_3-2-1_56JKL_2020-06-13_final.stac-item
2020-06-13 09:35:32	ga_s2bm_ard_3-2-1_55JGF_2020-06-13_final.stac-item
2020-06-15 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-06-15_final.stac-item
2020-06-15 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2020-06-15_final.stac-item
2020-06-15 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-15_final.stac-item
2020-06-15 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-06-15_final.stac-item
2020-06-15 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2020-06-15_final.stac-item
2020-06-15 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-06-15_final.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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years