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
2019-10-13 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2019-10-13_final.stac-item
2019-10-13 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2019-10-13_final.stac-item
2019-10-13 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2019-10-13_final.stac-item
2019-10-13 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2019-10-13_final.stac-item
2019-10-13 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2019-10-13_final.stac-item
2019-10-13 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2019-10-13_final.stac-item
2019-10-13 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-10-13_final.stac-item
2019-10-14 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2019-10-14_final.stac-item
2019-10-14 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2019-10-14_final.stac-item
2019-10-14 11:06:07	ga_s2bm_ard_3-2-1_52JCL_2019-10-14_final.stac-item
2019-10-14 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2019-10-14_final.stac-item
2019-10-16 10:05:30	ga_s2bm_ard_3-2-1_55JCF_2019-10-16_final.stac-item
2019-10-16 10:05:36	ga_s2bm_ard_3-2-1_55JBF_2019-10-16_final.stac-item
2019-10-16 10:05:39	ga_s2bm_ard_3-2-1_54JYL_2019-10-16_final.stac-item
2019-10-16 10:05:42	ga_s2bm_ard_3-2-1_54JXL_2019-10-16_final.stac-item
2019-10-16 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2019-10-16_final.stac-item
2019-10-16 10:05:50	ga_s2bm_ard_3-2-1_55HBE_2019-10-16_final.stac-item
2019-10-16 10:05:53	ga_s2bm_ard_3-2-1_54HYK_2019-10-16_final.stac-item
2019-10-24 11:06:00	ga_s2bm_ard_3-2-1_52JEL_2019-10-24_final.stac-item
2019-10-24 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2019-10-24_final.stac-item
2019-10-24 11:06:07	ga_s2bm_ard_3-2-1_52JCL_2019-10-24_final.stac-item
2019-10-24 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2019-10-24_final.stac-item
2019-10-25 10:35:45	ga_s2bm_ard_3-2-1_53JQF_2019-10-25_final.stac-item
2019-10-25 10:35:50	ga_s2bm_ard_3-2-1_53JPF_2019-10-25_final.stac-item
2019-10-25 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2019-10-25_final.stac-item
2019-10-25 10:35:57	ga_s2bm_ard_3-2-1_53JMF_2019-10-25_final.stac-item
2019-10-26 10:05:30	ga_s2bm_ard_3-2-1_55JCF_2019-10-26_final.stac-item
2019-10-26 10:05:36	ga_s2bm_ard_3-2-1_55JBF_2019-10-26_final.stac-item
2019-10-26 10:05:38	ga_s2bm_ard_3-2-1_54JYL_2019-10-26_final.stac-item
2019-10-26 10:05:42	ga_s2bm_ard_3-2-1_54JXL_2019-10-26_final.stac-item
2019-10-26 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2019-10-26_final.stac-item
2019-10-26 10:05:50	ga_s2bm_ard_3-2-1_55HBE_2019-10-26_final.stac-item
2019-10-26 10:05:53	ga_s2bm_ard_3-2-1_54HYK_2019-10-26_final.stac-item
2019-10-28 10:45:52	ga_s2bm_ard_3-2-1_53JMF_2019-10-28_final.stac-item
2019-10-28 10:45:56	ga_s2bm_ard_3-2-1_53JLF_2019-10-28_final.stac-item
2019-10-28 10:45:59	ga_s2bm_ard_3-2-1_53JKF_2019-10-28_final.stac-item
2019-10-28 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2019-10-28_final.stac-item
2020-04-25 10:45:46	ga_s2bm_ard_3-2-1_53JMF_2020-04-25_final.stac-item
2020-04-25 10:45:50	ga_s2bm_ard_3-2-1_53JLF_2020-04-25_final.stac-item
2020-04-25 10:45:53	ga_s2bm_ard_3-2-1_53JKF_2020-04-25_final.stac-item
2020-04-25 10:45:55	ga_s2bm_ard_3-2-1_52JGL_2020-04-25_final.stac-item
2020-04-29 10:25:39	ga_s2bm_ard_3-2-1_54JUL_2020-04-29_final.stac-item
2020-04-29 10:25:42	ga_s2bm_ard_3-2-1_54JTL_2020-04-29_final.stac-item
2020-04-29 10:25:45	ga_s2bm_ard_3-2-1_53JQF_2020-04-29_final.stac-item
2020-04-29 10:25:48	ga_s2bm_ard_3-2-1_53JPF_2020-04-29_final.stac-item
2020-04-29 10:25:57	ga_s2bm_ard_3-2-1_54HTK_2020-04-29_final.stac-item
2020-04-29 10:25:59	ga_s2bm_ard_3-2-1_53HQE_2020-04-29_final.stac-item
2020-05-05 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2020-05-05_final.stac-item
2020-05-06 10:15:34	ga_s2bm_ard_3-2-1_54JXL_2020-05-06_final.stac-item
2020-05-06 10:15:38	ga_s2bm_ard_3-2-1_54JWL_2020-05-06_final.stac-item
2020-05-06 10:15:42	ga_s2bm_ard_3-2-1_54JVL_2020-05-06_final.stac-item
2020-05-06 10:15:45	ga_s2bm_ard_3-2-1_54JUL_2020-05-06_final.stac-item
2020-05-08 10:55:52	ga_s2bm_ard_3-2-1_53JKF_2020-05-08_final.stac-item
2020-05-08 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2020-05-08_final.stac-item
2020-05-08 10:55:58	ga_s2bm_ard_3-2-1_52JFL_2020-05-08_final.stac-item
2020-05-08 10:56:02	ga_s2bm_ard_3-2-1_52JEL_2020-05-08_final.stac-item
2020-05-09 10:25:41	ga_s2bm_ard_3-2-1_54JUL_2020-05-09_final.stac-item
2020-05-09 10:25:45	ga_s2bm_ard_3-2-1_54JTL_2020-05-09_final.stac-item
2020-05-09 10:25:47	ga_s2bm_ard_3-2-1_53JQF_2020-05-09_final.stac-item
2020-05-09 10:25:50	ga_s2bm_ard_3-2-1_53JPF_2020-05-09_final.stac-item
2020-05-09 10:25:59	ga_s2bm_ard_3-2-1_54HTK_2020-05-09_final.stac-item
2020-05-09 10:26:01	ga_s2bm_ard_3-2-1_53HQE_2020-05-09_final.stac-item
2020-05-17 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2020-05-17_final.stac-item
2020-05-17 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2020-05-17_final.stac-item
2020-05-17 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2020-05-17_final.stac-item
2020-05-17 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2020-05-17_final.stac-item
2020-05-19 10:26:01	ga_s2bm_ard_3-2-1_54HTK_2020-05-19_final.stac-item
2020-05-19 10:26:03	ga_s2bm_ard_3-2-1_53HQE_2020-05-19_final.stac-item
2020-05-22 10:35:45	ga_s2bm_ard_3-2-1_53JQF_2020-05-22_final.stac-item
2020-05-22 10:35:49	ga_s2bm_ard_3-2-1_53JPF_2020-05-22_final.stac-item
2020-05-22 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2020-05-22_final.stac-item
2020-05-22 10:35:56	ga_s2bm_ard_3-2-1_53JMF_2020-05-22_final.stac-item
2020-05-23 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2020-05-23_final.stac-item
2020-05-23 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2020-05-23_final.stac-item
2020-05-23 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2020-05-23_final.stac-item
2020-05-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2020-05-23_final.stac-item
2020-05-24 09:35:22	ga_s2bm_ard_3-2-1_56JML_2020-05-24_final.stac-item
2020-05-24 09:35:25	ga_s2bm_ard_3-2-1_56JLL_2020-05-24_final.stac-item
2020-05-24 09:35:28	ga_s2bm_ard_3-2-1_56JKL_2020-05-24_final.stac-item
2020-05-24 09:35:31	ga_s2bm_ard_3-2-1_55JGF_2020-05-24_final.stac-item
2020-05-24 09:35:43	ga_s2bm_ard_3-2-1_56HKK_2020-05-24_final.stac-item
2020-05-24 09:35:45	ga_s2bm_ard_3-2-1_55HGE_2020-05-24_final.stac-item
2020-05-26 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final.stac-item
2020-05-26 11:56:27	ga_s2bm_ard_3-2-1_50JML_2020-05-26_final.stac-item
2020-05-26 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final.stac-item
2020-06-02 10:05:31	ga_s2bm_ard_3-2-1_55JCF_2020-06-02_final.stac-item
2020-06-02 10:05:36	ga_s2bm_ard_3-2-1_55JBF_2020-06-02_final.stac-item
2020-06-02 10:05:39	ga_s2bm_ard_3-2-1_54JYL_2020-06-02_final.stac-item
2020-06-02 10:05:43	ga_s2bm_ard_3-2-1_54JXL_2020-06-02_final.stac-item
2020-06-02 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2020-06-02_final.stac-item
2020-06-02 10:05:51	ga_s2bm_ard_3-2-1_55HBE_2020-06-02_final.stac-item
2020-06-02 10:05:53	ga_s2bm_ard_3-2-1_54HYK_2020-06-02_final.stac-item
2020-06-08 10:26:03	ga_s2bm_ard_3-2-1_54HTK_2020-06-08_final.stac-item
2020-06-08 10:26:05	ga_s2bm_ard_3-2-1_53HQE_2020-06-08_final.stac-item
2020-06-09 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-06-09_final.stac-item
2020-06-09 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-06-09_final.stac-item
2020-06-09 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2020-06-09_final.stac-item
2020-06-09 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2020-06-09_final.stac-item
2020-06-09 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-09_final.stac-item
2020-06-09 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-06-09_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