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
2019-07-04 10:21:46	ga_s2bm_ard_3-2-1_54KYG_2019-07-04_final.stac-item
2019-07-04 10:21:49	ga_s2bm_ard_3-2-1_54KXG_2019-07-04_final.stac-item
2019-07-04 10:21:53	ga_s2bm_ard_3-2-1_54KWG_2019-07-04_final.stac-item
2019-07-04 10:21:55	ga_s2bm_ard_3-2-1_54KVG_2019-07-04_final.stac-item
2019-07-04 10:22:00	ga_s2bm_ard_3-2-1_54KYF_2019-07-04_final.stac-item
2019-07-07 10:31:51	ga_s2bm_ard_3-2-1_54KVG_2019-07-07_final.stac-item
2019-07-07 10:31:55	ga_s2bm_ard_3-2-1_54KUG_2019-07-07_final.stac-item
2019-07-07 10:31:58	ga_s2bm_ard_3-2-1_54KTG_2019-07-07_final.stac-item
2019-07-07 10:31:59	ga_s2bm_ard_3-2-1_53KRB_2019-07-07_final
2019-07-07 10:32:12	ga_s2bm_ard_3-2-1_54KTF_2019-07-07_final.stac-item
2019-07-07 10:32:13	ga_s2bm_ard_3-2-1_53KRA_2019-07-07_final.stac-item
2019-07-08 10:01:37	ga_s2bm_ard_3-2-1_55KFB_2019-07-08_final.stac-item
2019-07-08 10:01:41	ga_s2bm_ard_3-2-1_55KEB_2019-07-08_final.stac-item
2019-07-08 10:01:44	ga_s2bm_ard_3-2-1_55KDB_2019-07-08_final.stac-item
2019-07-08 10:01:47	ga_s2bm_ard_3-2-1_55KCB_2019-07-08_final.stac-item
2019-07-11 10:11:42	ga_s2bm_ard_3-2-1_55KCB_2019-07-11_final.stac-item
2019-07-11 10:11:46	ga_s2bm_ard_3-2-1_55KBB_2019-07-11_final.stac-item
2019-07-11 10:11:47	ga_s2bm_ard_3-2-1_54KZG_2019-07-11_final.stac-item
2019-07-11 10:11:50	ga_s2bm_ard_3-2-1_54KYG_2019-07-11_final.stac-item
2019-07-11 10:11:57	ga_s2bm_ard_3-2-1_55KBA_2019-07-11_final.stac-item
2019-07-11 10:11:57	ga_s2bm_ard_3-2-1_54KZF_2019-07-11_final.stac-item
2019-07-11 10:11:59	ga_s2bm_ard_3-2-1_54KYF_2019-07-11_final.stac-item
2019-07-15 09:51:39	ga_s2bm_ard_3-2-1_55KGB_2019-07-15_final.stac-item
2019-07-15 09:51:42	ga_s2bm_ard_3-2-1_55KFB_2019-07-15_final.stac-item
2019-07-15 09:51:49	ga_s2bm_ard_3-2-1_56KKF_2019-07-15_final.stac-item
2019-07-17 10:31:51	ga_s2bm_ard_3-2-1_54KVG_2019-07-17_final.stac-item
2019-07-17 10:31:55	ga_s2bm_ard_3-2-1_54KUG_2019-07-17_final.stac-item
2019-07-17 10:31:58	ga_s2bm_ard_3-2-1_54KTG_2019-07-17_final.stac-item
2019-07-17 10:31:59	ga_s2bm_ard_3-2-1_53KRB_2019-07-17_final
2019-07-17 10:32:12	ga_s2bm_ard_3-2-1_54KTF_2019-07-17_final.stac-item
2019-07-17 10:32:13	ga_s2bm_ard_3-2-1_53KRA_2019-07-17_final.stac-item
2019-07-24 10:21:45	ga_s2bm_ard_3-2-1_54KYG_2019-07-24_final.stac-item
2019-07-24 10:21:49	ga_s2bm_ard_3-2-1_54KXG_2019-07-24_final.stac-item
2019-07-24 10:21:52	ga_s2bm_ard_3-2-1_54KWG_2019-07-24_final.stac-item
2019-07-24 10:21:55	ga_s2bm_ard_3-2-1_54KVG_2019-07-24_final.stac-item
2019-07-24 10:22:00	ga_s2bm_ard_3-2-1_54KYF_2019-07-24_final.stac-item
2019-07-25 09:51:38	ga_s2bm_ard_3-2-1_55KGB_2019-07-25_final.stac-item
2019-07-25 09:51:42	ga_s2bm_ard_3-2-1_55KFB_2019-07-25_final.stac-item
2019-07-25 09:51:48	ga_s2bm_ard_3-2-1_56KKF_2019-07-25_final.stac-item
2020-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KFG_2020-01-15_final.stac-item
2020-01-15 11:11:57	ga_s2bm_ard_3-2-1_52KEG_2020-01-15_final.stac-item
2020-01-15 11:12:00	ga_s2bm_ard_3-2-1_52KDG_2020-01-15_final.stac-item
2020-01-15 11:12:05	ga_s2bm_ard_3-2-1_52KCG_2020-01-15_final.stac-item
2020-01-17 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2020-01-17_final
2020-01-17 11:52:28	ga_s2bm_ard_3-2-1_50KQF_2020-01-17_final
2020-01-27 11:52:12	ga_s2bm_ard_3-2-1_50KQG_2020-01-27_final
2020-01-27 11:52:27	ga_s2bm_ard_3-2-1_50KQF_2020-01-27_final
2020-03-15 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2020-03-15_final.stac-item
2020-03-15 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2020-03-15_final.stac-item
2020-03-15 11:12:04	ga_s2bm_ard_3-2-1_52KDG_2020-03-15_final.stac-item
2020-03-15 11:12:09	ga_s2bm_ard_3-2-1_52KCG_2020-03-15_final.stac-item
2020-03-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2020-03-17_final
2020-03-17 11:52:26	ga_s2bm_ard_3-2-1_50KQG_2020-03-17_final
2020-03-17 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-17_final
2020-03-18 09:41:22	ga_s2bm_ard_3-2-1_56KMG_2020-03-18_final
2020-03-18 09:41:25	ga_s2bm_ard_3-2-1_56KLG_2020-03-18_final
2020-03-18 09:41:28	ga_s2bm_ard_3-2-1_56KKG_2020-03-18_final
2020-03-18 09:41:30	ga_s2bm_ard_3-2-1_55KHB_2020-03-18_final
2020-03-18 09:41:42	ga_s2bm_ard_3-2-1_56KKF_2020-03-18_final.stac-item
2020-03-19 10:51:50	ga_s2bm_ard_3-2-1_53KNB_2020-03-19_final.stac-item
2020-03-19 10:51:52	ga_s2bm_ard_3-2-1_53KMB_2020-03-19_final.stac-item
2020-03-19 10:51:55	ga_s2bm_ard_3-2-1_53KLB_2020-03-19_final.stac-item
2020-03-19 10:52:00	ga_s2bm_ard_3-2-1_53KKB_2020-03-19_final.stac-item
2020-03-20 10:21:35	ga_s2bm_ard_3-2-1_54KYG_2020-03-20_final.stac-item
2020-03-20 10:21:38	ga_s2bm_ard_3-2-1_54KXG_2020-03-20_final.stac-item
2020-03-20 10:21:42	ga_s2bm_ard_3-2-1_54KWG_2020-03-20_final.stac-item
2020-03-20 10:21:45	ga_s2bm_ard_3-2-1_54KVG_2020-03-20_final.stac-item
2020-03-20 10:21:49	ga_s2bm_ard_3-2-1_54KYF_2020-03-20_final.stac-item
2020-03-22 11:01:50	ga_s2bm_ard_3-2-1_53KLB_2020-03-22_final.stac-item
2020-03-22 11:01:54	ga_s2bm_ard_3-2-1_53KKB_2020-03-22_final.stac-item
2020-03-22 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2020-03-22_final.stac-item
2020-03-22 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2020-03-22_final.stac-item
2020-03-22 11:02:01	ga_s2bm_ard_3-2-1_52KFG_2020-03-22_final.stac-item
2020-03-22 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2020-03-22_final.stac-item
2020-03-22 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2020-03-22_final.stac-item
2020-03-22 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2020-03-22_final.stac-item
2020-03-24 10:01:26	ga_s2bm_ard_3-2-1_55KFB_2020-03-24_final.stac-item
2020-03-24 10:01:30	ga_s2bm_ard_3-2-1_55KEB_2020-03-24_final.stac-item
2020-03-24 10:01:33	ga_s2bm_ard_3-2-1_55KDB_2020-03-24_final.stac-item
2020-03-24 10:01:36	ga_s2bm_ard_3-2-1_55KCB_2020-03-24_final.stac-item
2020-04-01 11:01:49	ga_s2bm_ard_3-2-1_53KLB_2020-04-01_final.stac-item
2020-04-01 11:01:53	ga_s2bm_ard_3-2-1_53KKB_2020-04-01_final.stac-item
2020-04-01 11:01:54	ga_s2bm_ard_3-2-1_52KHG_2020-04-01_final.stac-item
2020-04-01 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2020-04-01_final.stac-item
2020-04-01 11:02:01	ga_s2bm_ard_3-2-1_52KFG_2020-04-01_final.stac-item
2020-04-01 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2020-04-01_final.stac-item
2020-04-01 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2020-04-01_final.stac-item
2020-04-01 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2020-04-01_final.stac-item
2020-04-02 10:31:39	ga_s2bm_ard_3-2-1_54KVG_2020-04-02_final.stac-item
2020-04-02 10:31:43	ga_s2bm_ard_3-2-1_54KUG_2020-04-02_final.stac-item
2020-04-02 10:31:46	ga_s2bm_ard_3-2-1_54KTG_2020-04-02_final.stac-item
2020-04-02 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2020-04-02_final
2020-04-02 10:32:01	ga_s2bm_ard_3-2-1_54KTF_2020-04-02_final.stac-item
2020-04-02 10:32:02	ga_s2bm_ard_3-2-1_53KRA_2020-04-02_final.stac-item
2020-04-10 09:51:26	ga_s2bm_ard_3-2-1_55KGB_2020-04-10_final.stac-item
2020-04-10 09:51:30	ga_s2bm_ard_3-2-1_55KFB_2020-04-10_final.stac-item
2020-04-10 09:51:36	ga_s2bm_ard_3-2-1_56KKF_2020-04-10_final.stac-item
2020-04-13 10:01:25	ga_s2bm_ard_3-2-1_55KFB_2020-04-13_final.stac-item
2020-04-13 10:01:28	ga_s2bm_ard_3-2-1_55KEB_2020-04-13_final.stac-item
2020-04-13 10:01:31	ga_s2bm_ard_3-2-1_55KDB_2020-04-13_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