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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51JTF_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51JTG_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JMM_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JNM_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JPM_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JQM_2017-11-15_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52JBL_2017-11-16_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52JBM_2017-11-16_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52JCM_2017-11-16_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51JXG_2017-11-16_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51JYF_2017-11-16_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51JYG_2017-11-16_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_56JKL_2017-11-19_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_56JKM_2017-11-19_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55JDG_2017-11-19_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55JEG_2017-11-19_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55JFG_2017-11-19_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55JGF_2017-11-19_final.stac-item
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55JGG_2017-11-19_final.stac-item
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53JMG_2017-11-24_final.stac-item
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53JNG_2017-11-24_final.stac-item
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53JPG_2017-11-24_final.stac-item
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53JQG_2017-11-24_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JKM_2017-11-28_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JLM_2017-11-28_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JMM_2017-11-28_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_54JTL_2017-12-01_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_53JPG_2017-12-01_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_54JTM_2017-12-01_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_53JQF_2017-12-01_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_53JQG_2017-12-01_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_54JUM_2017-12-01_final.stac-item
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_54JVM_2017-12-01_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JBL_2017-12-06_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JBM_2017-12-06_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JCM_2017-12-06_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51JXG_2017-12-06_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51JYF_2017-12-06_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51JYG_2017-12-06_final.stac-item
2020-01-17 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2020-01-17_final.stac-item
2020-01-17 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2020-01-17_final.stac-item
2020-01-17 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2020-01-17_final.stac-item
2020-01-17 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-01-17_final.stac-item
2020-01-27 11:55:57	ga_s2bm_ard_3-2-1_50JNM_2020-01-27_final.stac-item
2020-01-27 11:56:00	ga_s2bm_ard_3-2-1_50JMM_2020-01-27_final.stac-item
2020-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2020-01-27_final.stac-item
2020-01-27 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2020-01-27_final.stac-item
2020-02-03 11:45:50	ga_s2bm_ard_3-2-1_51JTG_2020-02-03_final.stac-item
2020-02-03 11:45:54	ga_s2bm_ard_3-2-1_50JQM_2020-02-03_final.stac-item
2020-02-03 11:45:58	ga_s2bm_ard_3-2-1_50JPM_2020-02-03_final.stac-item
2020-02-03 11:46:01	ga_s2bm_ard_3-2-1_51JTF_2020-02-03_final.stac-item
2020-02-03 11:46:02	ga_s2bm_ard_3-2-1_50JNM_2020-02-03_final.stac-item
2020-02-03 11:46:06	ga_s2bm_ard_3-2-1_50JMM_2020-02-03_final.stac-item
2020-03-17 10:15:20	ga_s2bm_ard_3-2-1_54JXM_2020-03-17_final.stac-item
2020-03-17 10:15:24	ga_s2bm_ard_3-2-1_54JWM_2020-03-17_final.stac-item
2020-03-17 10:15:27	ga_s2bm_ard_3-2-1_54JVM_2020-03-17_final.stac-item
2020-03-17 10:15:30	ga_s2bm_ard_3-2-1_54JUM_2020-03-17_final.stac-item
2020-03-17 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2020-03-17_final.stac-item
2020-03-17 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2020-03-17_final.stac-item
2020-03-17 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-17_final.stac-item
2020-03-17 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2020-03-17_final.stac-item
2020-03-20 10:25:22	ga_s2bm_ard_3-2-1_54JVM_2020-03-20_final.stac-item
2020-03-20 10:25:26	ga_s2bm_ard_3-2-1_54JUM_2020-03-20_final.stac-item
2020-03-20 10:25:30	ga_s2bm_ard_3-2-1_54JTM_2020-03-20_final.stac-item
2020-03-20 10:25:32	ga_s2bm_ard_3-2-1_53JQG_2020-03-20_final.stac-item
2020-03-20 10:25:38	ga_s2bm_ard_3-2-1_53JPG_2020-03-20_final.stac-item
2020-03-20 10:25:44	ga_s2bm_ard_3-2-1_54JTL_2020-03-20_final.stac-item
2020-03-20 10:25:47	ga_s2bm_ard_3-2-1_53JQF_2020-03-20_final.stac-item
2020-03-27 10:15:20	ga_s2bm_ard_3-2-1_54JXM_2020-03-27_final.stac-item
2020-03-27 10:15:24	ga_s2bm_ard_3-2-1_54JWM_2020-03-27_final.stac-item
2020-03-27 10:15:27	ga_s2bm_ard_3-2-1_54JVM_2020-03-27_final.stac-item
2020-03-27 10:15:30	ga_s2bm_ard_3-2-1_54JUM_2020-03-27_final.stac-item
2020-03-30 10:25:22	ga_s2bm_ard_3-2-1_54JVM_2020-03-30_final.stac-item
2020-03-30 10:25:26	ga_s2bm_ard_3-2-1_54JUM_2020-03-30_final.stac-item
2020-03-30 10:25:29	ga_s2bm_ard_3-2-1_54JTM_2020-03-30_final.stac-item
2020-03-30 10:25:32	ga_s2bm_ard_3-2-1_53JQG_2020-03-30_final.stac-item
2020-03-30 10:25:38	ga_s2bm_ard_3-2-1_53JPG_2020-03-30_final.stac-item
2020-03-30 10:25:44	ga_s2bm_ard_3-2-1_54JTL_2020-03-30_final.stac-item
2020-03-30 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2020-03-30_final.stac-item
2020-04-03 10:05:14	ga_s2bm_ard_3-2-1_55JCG_2020-04-03_final.stac-item
2020-04-03 10:05:17	ga_s2bm_ard_3-2-1_55JBG_2020-04-03_final.stac-item
2020-04-03 10:05:20	ga_s2bm_ard_3-2-1_54JYM_2020-04-03_final.stac-item
2020-04-03 10:05:24	ga_s2bm_ard_3-2-1_54JXM_2020-04-03_final.stac-item
2020-04-03 10:05:30	ga_s2bm_ard_3-2-1_54JWM_2020-04-03_final.stac-item
2020-04-03 10:05:32	ga_s2bm_ard_3-2-1_55JBF_2020-04-03_final.stac-item
2020-04-03 10:05:35	ga_s2bm_ard_3-2-1_54JYL_2020-04-03_final.stac-item
2020-04-04 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2020-04-04_final.stac-item
2020-04-04 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2020-04-04_final.stac-item
2020-04-04 11:15:54	ga_s2bm_ard_3-2-1_51JXG_2020-04-04_final.stac-item
2020-04-04 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-04-04_final.stac-item
2020-04-11 11:05:35	ga_s2bm_ard_3-2-1_52JFM_2020-04-11_final.stac-item
2020-04-11 11:05:41	ga_s2bm_ard_3-2-1_52JEM_2020-04-11_final.stac-item
2020-04-11 11:05:45	ga_s2bm_ard_3-2-1_52JDM_2020-04-11_final.stac-item
2020-04-11 11:05:48	ga_s2bm_ard_3-2-1_52JCM_2020-04-11_final.stac-item
2020-04-11 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2020-04-11_final.stac-item
2020-04-20 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2020-04-20_final.stac-item
2020-04-20 11:35:54	ga_s2bm_ard_3-2-1_51JUG_2020-04-20_final.stac-item
2020-04-20 11:35:57	ga_s2bm_ard_3-2-1_51JTG_2020-04-20_final.stac-item
2020-04-20 11:36:00	ga_s2bm_ard_3-2-1_50JQM_2020-04-20_final.stac-item
2020-04-20 11:36:12	ga_s2bm_ard_3-2-1_51JTF_2020-04-20_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