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
2020-10-28 11:00:25	ga_s2bm_ard_3-2-1_53LMH_2020-10-28_final
2020-10-28 11:00:32	ga_s2bm_ard_3-2-1_53LKH_2020-10-28_final.stac-item
2020-10-28 11:00:33	ga_s2bm_ard_3-2-1_52LHN_2020-10-28_final.stac-item
2020-10-28 11:00:40	ga_s2bm_ard_3-2-1_52LGN_2020-10-28_final.stac-item
2020-10-28 11:00:46	ga_s2bm_ard_3-2-1_53LKG_2020-10-28_final.stac-item
2020-10-28 11:00:48	ga_s2bm_ard_3-2-1_52LHM_2020-10-28_final.stac-item
2020-10-28 11:00:52	ga_s2bm_ard_3-2-1_52LGM_2020-10-28_final.stac-item
2020-10-31 11:10:28	ga_s2bm_ard_3-2-1_52LHN_2020-10-31_final.stac-item
2020-10-31 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2020-10-31_final.stac-item
2020-10-31 11:10:35	ga_s2bm_ard_3-2-1_52LFN_2020-10-31_final
2020-10-31 11:10:40	ga_s2bm_ard_3-2-1_52LHM_2020-10-31_final.stac-item
2020-10-31 11:10:46	ga_s2bm_ard_3-2-1_52LGM_2020-10-31_final.stac-item
2020-11-01 10:40:30	ga_s2bm_ard_3-2-1_53LPH_2020-11-01_final
2020-11-01 10:40:42	ga_s2bm_ard_3-2-1_53LPG_2020-11-01_final.stac-item
2020-11-02 10:10:14	ga_s2bm_ard_3-2-1_54LZN_2020-11-02_final.stac-item
2020-11-02 10:10:28	ga_s2bm_ard_3-2-1_54LZM_2020-11-02_final.stac-item
2020-11-04 10:50:23	ga_s2bm_ard_3-2-1_53LPH_2020-11-04_final
2020-11-04 10:50:26	ga_s2bm_ard_3-2-1_53LNH_2020-11-04_final
2020-11-04 10:50:29	ga_s2bm_ard_3-2-1_53LMH_2020-11-04_final
2020-11-04 10:50:37	ga_s2bm_ard_3-2-1_53LPG_2020-11-04_final.stac-item
2020-11-10 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2020-11-10_final.stac-item
2020-11-10 11:10:30	ga_s2bm_ard_3-2-1_52LGN_2020-11-10_final.stac-item
2020-11-10 11:10:34	ga_s2bm_ard_3-2-1_52LFN_2020-11-10_final
2020-11-10 11:10:39	ga_s2bm_ard_3-2-1_52LHM_2020-11-10_final.stac-item
2020-11-10 11:10:44	ga_s2bm_ard_3-2-1_52LGM_2020-11-10_final.stac-item
2020-11-11 10:40:29	ga_s2bm_ard_3-2-1_53LPH_2020-11-11_final
2020-11-11 10:40:41	ga_s2bm_ard_3-2-1_53LPG_2020-11-11_final.stac-item
2020-11-12 10:10:12	ga_s2bm_ard_3-2-1_54LZN_2020-11-12_final.stac-item
2020-11-12 10:10:27	ga_s2bm_ard_3-2-1_54LZM_2020-11-12_final.stac-item
2021-02-02 10:50:20	ga_s2bm_ard_3-2-1_53LPH_2021-02-02_final
2021-02-02 10:50:23	ga_s2bm_ard_3-2-1_53LNH_2021-02-02_final
2021-02-02 10:50:27	ga_s2bm_ard_3-2-1_53LMH_2021-02-02_final
2021-02-02 10:50:27	ga_s2bm_ard_3-2-1_53LQG_2021-02-02_final
2021-02-02 10:50:34	ga_s2bm_ard_3-2-1_53LPG_2021-02-02_final.stac-item
2021-02-09 10:40:26	ga_s2bm_ard_3-2-1_53LPH_2021-02-09_final
2021-02-09 10:40:35	ga_s2bm_ard_3-2-1_53LQG_2021-02-09_final
2021-02-09 10:40:39	ga_s2bm_ard_3-2-1_53LPG_2021-02-09_final.stac-item
2021-03-14 10:50:23	ga_s2bm_ard_3-2-1_53LNH_2021-03-14_final
2021-03-14 10:50:26	ga_s2bm_ard_3-2-1_53LMH_2021-03-14_final
2021-03-14 10:50:27	ga_s2bm_ard_3-2-1_53LQG_2021-03-14_final
2021-03-14 10:50:34	ga_s2bm_ard_3-2-1_53LPG_2021-03-14_final.stac-item
2021-06-30 10:10:12	ga_s2bm_ard_3-2-1_54LZN_2021-06-30_final.stac-item
2021-06-30 10:10:27	ga_s2bm_ard_3-2-1_54LZM_2021-06-30_final.stac-item
2021-07-05 11:00:24	ga_s2bm_ard_3-2-1_53LMH_2021-07-05_final
2021-07-05 11:00:27	ga_s2bm_ard_3-2-1_53LLH_2021-07-05_final
2021-07-05 11:00:30	ga_s2bm_ard_3-2-1_53LKH_2021-07-05_final.stac-item
2021-07-05 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2021-07-05_final.stac-item
2021-07-05 11:00:38	ga_s2bm_ard_3-2-1_52LGN_2021-07-05_final.stac-item
2021-07-05 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2021-07-05_final.stac-item
2021-07-05 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2021-07-05_final.stac-item
2021-07-05 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2021-07-05_final.stac-item
2021-07-10 10:10:13	ga_s2bm_ard_3-2-1_54LZN_2021-07-10_final.stac-item
2021-07-10 10:10:27	ga_s2bm_ard_3-2-1_54LZM_2021-07-10_final.stac-item
2021-07-12 10:50:22	ga_s2bm_ard_3-2-1_53LPH_2021-07-12_final
2021-07-12 10:50:26	ga_s2bm_ard_3-2-1_53LNH_2021-07-12_final
2021-07-12 10:50:29	ga_s2bm_ard_3-2-1_53LMH_2021-07-12_final
2021-07-12 10:50:29	ga_s2bm_ard_3-2-1_53LQG_2021-07-12_final
2021-07-12 10:50:36	ga_s2bm_ard_3-2-1_53LPG_2021-07-12_final.stac-item
2021-07-15 11:00:24	ga_s2bm_ard_3-2-1_53LMH_2021-07-15_final
2021-07-15 11:00:27	ga_s2bm_ard_3-2-1_53LLH_2021-07-15_final
2021-07-15 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2021-07-15_final.stac-item
2021-07-15 11:00:39	ga_s2bm_ard_3-2-1_52LGN_2021-07-15_final.stac-item
2021-07-15 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2021-07-15_final.stac-item
2021-07-15 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2021-07-15_final.stac-item
2021-07-15 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2021-07-15_final.stac-item
2021-07-16 10:30:09	ga_s2bm_ard_3-2-1_54LXN_2021-07-16_final.stac-item
2021-07-16 10:30:14	ga_s2bm_ard_3-2-1_54LWN_2021-07-16_final.stac-item
2021-07-19 10:40:29	ga_s2bm_ard_3-2-1_53LPH_2021-07-19_final
2021-07-19 10:40:38	ga_s2bm_ard_3-2-1_53LQG_2021-07-19_final
2021-07-19 10:40:42	ga_s2bm_ard_3-2-1_53LPG_2021-07-19_final.stac-item
2021-07-20 10:10:13	ga_s2bm_ard_3-2-1_54LZN_2021-07-20_final.stac-item
2021-07-20 10:10:28	ga_s2bm_ard_3-2-1_54LZM_2021-07-20_final.stac-item
2021-07-23 10:20:08	ga_s2bm_ard_3-2-1_54LZN_2021-07-23_final.stac-item
2021-07-23 10:20:12	ga_s2bm_ard_3-2-1_54LYN_2021-07-23_final.stac-item
2021-07-23 10:20:15	ga_s2bm_ard_3-2-1_54LXN_2021-07-23_final.stac-item
2021-07-23 10:20:20	ga_s2bm_ard_3-2-1_54LWN_2021-07-23_final.stac-item
2021-07-23 10:20:23	ga_s2bm_ard_3-2-1_54LZM_2021-07-23_final.stac-item
2021-07-23 10:20:27	ga_s2bm_ard_3-2-1_54LYM_2021-07-23_final.stac-item
2021-07-23 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2021-07-23_final.stac-item
2021-07-25 11:00:24	ga_s2bm_ard_3-2-1_53LMH_2021-07-25_final
2021-07-25 11:00:27	ga_s2bm_ard_3-2-1_53LLH_2021-07-25_final
2021-07-25 11:00:31	ga_s2bm_ard_3-2-1_53LKH_2021-07-25_final.stac-item
2021-07-25 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2021-07-25_final.stac-item
2021-07-25 11:00:39	ga_s2bm_ard_3-2-1_52LGN_2021-07-25_final.stac-item
2021-07-25 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2021-07-25_final.stac-item
2021-07-25 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2021-07-25_final.stac-item
2021-07-25 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2021-07-25_final.stac-item
2023-12-21 09:49:50	ga_s2bm_ard_3-2-1_56LMN_2023-12-21_nrt
2023-12-21 09:49:55	ga_s2bm_ard_3-2-1_56LLN_2023-12-21_nrt
2023-12-21 09:49:58	ga_s2bm_ard_3-2-1_56LKN_2023-12-21_nrt
2023-12-21 09:49:59	ga_s2bm_ard_3-2-1_55LHH_2023-12-21_nrt
2023-12-21 09:50:05	ga_s2bm_ard_3-2-1_56LKM_2023-12-21_nrt
2023-12-21 09:50:06	ga_s2bm_ard_3-2-1_55LHG_2023-12-21_nrt
2023-12-21 11:30:36	ga_s2bm_ard_3-2-1_52LBN_2023-12-21_nrt
2023-12-21 11:30:38	ga_s2bm_ard_3-2-1_51LZH_2023-12-21_nrt
2023-12-21 11:30:42	ga_s2bm_ard_3-2-1_51LYH_2023-12-21_nrt
2023-12-21 11:30:45	ga_s2bm_ard_3-2-1_51LXH_2023-12-21_nrt
2023-12-21 11:30:51	ga_s2bm_ard_3-2-1_52LBM_2023-12-21_nrt
2023-12-21 11:30:52	ga_s2bm_ard_3-2-1_51LZG_2023-12-21_nrt
2023-12-21 11:30:56	ga_s2bm_ard_3-2-1_51LYG_2023-12-21_nrt

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