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
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53LLG_2017-12-10_final.stac-item
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53LMG_2017-12-10_final.stac-item
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53LNG_2017-12-10_final.stac-item
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53LPG_2017-12-10_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LVG_2017-12-15_final.stac-item
2017-12-18 10:06:52	ga_s2bm_ard_3-2-1_54LZM_2017-12-18_final.stac-item
2017-12-25 11:34:33	ga_s2bm_ard_3-2-1_51LVG_2017-12-25_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51LVG_2017-12-25_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_54LZM_2018-09-14_final.stac-item
2018-09-16 10:47:16	ga_s2bm_ard_3-2-1_53LLG_2018-09-16_final.stac-item
2018-09-16 10:47:16	ga_s2bm_ard_3-2-1_53LMG_2018-09-16_final.stac-item
2018-09-16 10:47:16	ga_s2bm_ard_3-2-1_53LNG_2018-09-16_final.stac-item
2018-09-16 10:47:16	ga_s2bm_ard_3-2-1_53LPG_2018-09-16_final.stac-item
2018-09-23 10:37:20	ga_s2bm_ard_3-2-1_53LPG_2018-09-23_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54LZM_2018-09-24_final.stac-item
2018-12-01 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2018-12-01_final.stac-item
2018-12-01 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2018-12-01_final.stac-item
2018-12-19 10:30:21	ga_s2bm_ard_3-2-1_54LWM_2018-12-19_final.stac-item
2018-12-21 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2018-12-21_final.stac-item
2018-12-21 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2018-12-21_final.stac-item
2018-12-23 10:10:21	ga_s2bm_ard_3-2-1_54LZM_2018-12-23_final.stac-item
2018-12-26 10:20:17	ga_s2bm_ard_3-2-1_54LZM_2018-12-26_final.stac-item
2018-12-26 10:20:21	ga_s2bm_ard_3-2-1_54LYM_2018-12-26_final.stac-item
2018-12-26 10:20:24	ga_s2bm_ard_3-2-1_54LXM_2018-12-26_final.stac-item
2018-12-26 10:20:27	ga_s2bm_ard_3-2-1_54LWM_2018-12-26_final.stac-item
2018-12-29 10:30:15	ga_s2bm_ard_3-2-1_54LXM_2018-12-29_final.stac-item
2018-12-29 10:30:23	ga_s2bm_ard_3-2-1_54LWM_2018-12-29_final.stac-item
2018-12-30 11:40:58	ga_s2bm_ard_3-2-1_51LVG_2018-12-30_final.stac-item
2018-12-31 11:10:34	ga_s2bm_ard_3-2-1_52LHM_2018-12-31_final.stac-item
2018-12-31 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2018-12-31_final.stac-item
2019-01-01 10:40:37	ga_s2bm_ard_3-2-1_53LPG_2019-01-01_final.stac-item
2019-01-04 10:50:33	ga_s2bm_ard_3-2-1_53LPG_2019-01-04_final.stac-item
2019-01-04 10:50:36	ga_s2bm_ard_3-2-1_53LNG_2019-01-04_final.stac-item
2019-01-04 10:50:40	ga_s2bm_ard_3-2-1_53LMG_2019-01-04_final.stac-item
2019-01-04 10:50:45	ga_s2bm_ard_3-2-1_53LLG_2019-01-04_final.stac-item
2020-03-14 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2020-03-14_final
2020-03-14 11:40:59	ga_s2bm_ard_3-2-1_51LVG_2020-03-14_final.stac-item
2020-03-16 10:40:38	ga_s2bm_ard_3-2-1_53LPG_2020-03-16_final.stac-item
2020-03-17 10:10:24	ga_s2bm_ard_3-2-1_54LZM_2020-03-17_final.stac-item
2020-03-22 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2020-03-22_final.stac-item
2020-03-22 11:00:38	ga_s2bm_ard_3-2-1_53LLG_2020-03-22_final.stac-item
2020-03-22 11:00:41	ga_s2bm_ard_3-2-1_53LKG_2020-03-22_final.stac-item
2020-03-22 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2020-03-22_final.stac-item
2020-03-22 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2020-03-22_final.stac-item
2020-03-23 10:30:16	ga_s2bm_ard_3-2-1_54LXM_2020-03-23_final.stac-item
2020-03-23 10:30:24	ga_s2bm_ard_3-2-1_54LWM_2020-03-23_final.stac-item
2020-03-23 10:30:28	ga_s2bm_ard_3-2-1_54LVM_2020-03-23_final
2020-03-24 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2020-03-24_final
2020-03-24 11:40:58	ga_s2bm_ard_3-2-1_51LVG_2020-03-24_final.stac-item
2020-03-25 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2020-03-25_final.stac-item
2020-03-25 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2020-03-25_final.stac-item
2020-03-26 10:40:38	ga_s2bm_ard_3-2-1_53LPG_2020-03-26_final.stac-item
2020-03-27 10:10:23	ga_s2bm_ard_3-2-1_54LZM_2020-03-27_final.stac-item
2020-03-29 10:50:32	ga_s2bm_ard_3-2-1_53LPG_2020-03-29_final.stac-item
2020-03-29 10:50:36	ga_s2bm_ard_3-2-1_53LNG_2020-03-29_final.stac-item
2020-03-29 10:50:39	ga_s2bm_ard_3-2-1_53LMG_2020-03-29_final.stac-item
2020-03-30 10:20:18	ga_s2bm_ard_3-2-1_54LZM_2020-03-30_final.stac-item
2020-03-30 10:20:22	ga_s2bm_ard_3-2-1_54LYM_2020-03-30_final.stac-item
2020-03-30 10:20:25	ga_s2bm_ard_3-2-1_54LXM_2020-03-30_final.stac-item
2020-03-30 10:20:29	ga_s2bm_ard_3-2-1_54LWM_2020-03-30_final.stac-item
2020-04-02 10:30:16	ga_s2bm_ard_3-2-1_54LXM_2020-04-02_final.stac-item
2020-04-02 10:30:23	ga_s2bm_ard_3-2-1_54LWM_2020-04-02_final.stac-item
2020-04-02 10:30:27	ga_s2bm_ard_3-2-1_54LVM_2020-04-02_final
2020-04-03 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2020-04-03_final
2020-04-03 11:40:58	ga_s2bm_ard_3-2-1_51LVG_2020-04-03_final.stac-item
2020-04-04 11:10:34	ga_s2bm_ard_3-2-1_52LHM_2020-04-04_final.stac-item
2020-04-04 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2020-04-04_final.stac-item
2020-04-05 10:40:37	ga_s2bm_ard_3-2-1_53LPG_2020-04-05_final.stac-item
2020-04-06 10:10:22	ga_s2bm_ard_3-2-1_54LZM_2020-04-06_final.stac-item
2020-04-08 10:50:31	ga_s2bm_ard_3-2-1_53LPG_2020-04-08_final.stac-item
2020-04-08 10:50:35	ga_s2bm_ard_3-2-1_53LNG_2020-04-08_final.stac-item
2020-04-08 10:50:38	ga_s2bm_ard_3-2-1_53LMG_2020-04-08_final.stac-item
2020-04-09 10:20:17	ga_s2bm_ard_3-2-1_54LZM_2020-04-09_final.stac-item
2020-04-09 10:20:21	ga_s2bm_ard_3-2-1_54LYM_2020-04-09_final.stac-item
2020-04-09 10:20:24	ga_s2bm_ard_3-2-1_54LXM_2020-04-09_final.stac-item
2020-04-09 10:20:28	ga_s2bm_ard_3-2-1_54LWM_2020-04-09_final.stac-item
2020-04-11 11:00:32	ga_s2bm_ard_3-2-1_53LMG_2020-04-11_final.stac-item
2020-04-11 11:00:36	ga_s2bm_ard_3-2-1_53LLG_2020-04-11_final.stac-item
2020-04-11 11:00:40	ga_s2bm_ard_3-2-1_53LKG_2020-04-11_final.stac-item
2020-04-11 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2020-04-11_final.stac-item
2020-04-11 11:00:45	ga_s2bm_ard_3-2-1_52LGM_2020-04-11_final.stac-item
2020-04-13 11:40:53	ga_s2bm_ard_3-2-1_51LWG_2020-04-13_final
2020-04-13 11:40:57	ga_s2bm_ard_3-2-1_51LVG_2020-04-13_final.stac-item
2020-04-14 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2020-04-14_final.stac-item
2020-04-14 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2020-04-14_final.stac-item
2020-04-15 10:40:36	ga_s2bm_ard_3-2-1_53LPG_2020-04-15_final.stac-item
2020-04-16 10:10:21	ga_s2bm_ard_3-2-1_54LZM_2020-04-16_final.stac-item
2020-04-18 10:50:30	ga_s2bm_ard_3-2-1_53LPG_2020-04-18_final.stac-item
2020-04-18 10:50:34	ga_s2bm_ard_3-2-1_53LNG_2020-04-18_final.stac-item
2020-04-18 10:50:37	ga_s2bm_ard_3-2-1_53LMG_2020-04-18_final.stac-item
2020-04-19 10:20:16	ga_s2bm_ard_3-2-1_54LZM_2020-04-19_final.stac-item
2020-04-19 10:20:20	ga_s2bm_ard_3-2-1_54LYM_2020-04-19_final.stac-item
2020-04-19 10:20:23	ga_s2bm_ard_3-2-1_54LXM_2020-04-19_final.stac-item
2020-04-19 10:20:26	ga_s2bm_ard_3-2-1_54LWM_2020-04-19_final.stac-item
2020-04-21 11:00:31	ga_s2bm_ard_3-2-1_53LMG_2020-04-21_final.stac-item
2020-04-21 11:00:35	ga_s2bm_ard_3-2-1_53LLG_2020-04-21_final.stac-item
2020-04-21 11:00:38	ga_s2bm_ard_3-2-1_53LKG_2020-04-21_final.stac-item
2020-04-21 11:00:39	ga_s2bm_ard_3-2-1_52LHM_2020-04-21_final.stac-item
2020-04-21 11:00:43	ga_s2bm_ard_3-2-1_52LGM_2020-04-21_final.stac-item
2020-04-24 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2020-04-24_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