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
2019-09-20 09:41:41	ga_s2bm_ard_3-2-1_56KLF_2019-09-20_final.stac-item
2019-09-20 09:41:44	ga_s2bm_ard_3-2-1_56KKF_2019-09-20_final.stac-item
2019-09-20 11:22:18	ga_s2bm_ard_3-2-1_52KCF_2019-09-20_final.stac-item
2019-09-20 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2019-09-20_final.stac-item
2019-09-20 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2019-09-20_final.stac-item
2019-09-20 11:22:26	ga_s2bm_ard_3-2-1_51KYA_2019-09-20_final.stac-item
2019-09-21 10:51:51	ga_s2bm_ard_3-2-1_53KNB_2019-09-21_final.stac-item
2019-09-21 10:51:54	ga_s2bm_ard_3-2-1_53KMB_2019-09-21_final.stac-item
2019-09-21 10:51:57	ga_s2bm_ard_3-2-1_53KLB_2019-09-21_final.stac-item
2019-09-21 10:52:01	ga_s2bm_ard_3-2-1_53KKB_2019-09-21_final.stac-item
2019-09-21 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2019-09-21_final.stac-item
2019-09-21 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2019-09-21_final.stac-item
2019-09-26 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-09-26_final.stac-item
2019-09-26 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-09-26_final.stac-item
2019-09-26 11:42:24	ga_s2bm_ard_3-2-1_51KUA_2019-09-26_final.stac-item
2019-09-26 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2019-09-26_final.stac-item
2019-09-30 09:41:42	ga_s2bm_ard_3-2-1_56KLF_2019-09-30_final.stac-item
2019-09-30 09:41:45	ga_s2bm_ard_3-2-1_56KKF_2019-09-30_final.stac-item
2019-10-08 10:41:50	ga_s2bm_ard_3-2-1_53KQB_2019-10-08_final
2019-10-08 10:41:53	ga_s2bm_ard_3-2-1_53KPB_2019-10-08_final.stac-item
2019-10-08 10:41:55	ga_s2bm_ard_3-2-1_54KTF_2019-10-08_final.stac-item
2019-10-08 10:41:56	ga_s2bm_ard_3-2-1_53KNB_2019-10-08_final.stac-item
2019-10-08 10:41:59	ga_s2bm_ard_3-2-1_53KRA_2019-10-08_final.stac-item
2019-10-08 10:42:01	ga_s2bm_ard_3-2-1_53KQA_2019-10-08_final.stac-item
2019-10-08 10:42:03	ga_s2bm_ard_3-2-1_53KPA_2019-10-08_final.stac-item
2019-10-08 10:42:03	ga_s2bm_ard_3-2-1_53KNB_2019-10-08_final.stac-item
2022-02-10 11:01:46	ga_s2bm_ard_3-2-1_53KLB_2022-02-10_final.stac-item
2022-02-10 11:01:50	ga_s2bm_ard_3-2-1_53KKB_2022-02-10_final.stac-item
2022-02-10 11:01:51	ga_s2bm_ard_3-2-1_52KHG_2022-02-10_final.stac-item
2022-02-10 11:01:55	ga_s2bm_ard_3-2-1_52KGG_2022-02-10_final.stac-item
2022-02-10 11:01:58	ga_s2bm_ard_3-2-1_53KLA_2022-02-10_final.stac-item
2022-02-10 11:01:58	ga_s2bm_ard_3-2-1_52KFG_2022-02-10_final.stac-item
2022-02-10 11:02:04	ga_s2bm_ard_3-2-1_53KKA_2022-02-10_final.stac-item
2022-02-10 11:02:05	ga_s2bm_ard_3-2-1_52KHF_2022-02-10_final.stac-item
2022-02-10 11:02:07	ga_s2bm_ard_3-2-1_52KGF_2022-02-10_final.stac-item
2022-02-10 11:02:08	ga_s2bm_ard_3-2-1_52KFF_2022-02-10_final.stac-item
2022-02-15 10:11:27	ga_s2bm_ard_3-2-1_55KCB_2022-02-15_final.stac-item
2022-02-15 10:11:31	ga_s2bm_ard_3-2-1_55KBB_2022-02-15_final.stac-item
2022-02-15 10:11:32	ga_s2bm_ard_3-2-1_54KZG_2022-02-15_final.stac-item
2022-02-15 10:11:35	ga_s2bm_ard_3-2-1_54KYG_2022-02-15_final.stac-item
2022-02-15 10:11:42	ga_s2bm_ard_3-2-1_55KCA_2022-02-15_final.stac-item
2022-02-15 10:11:45	ga_s2bm_ard_3-2-1_55KBA_2022-02-15_final.stac-item
2022-02-15 10:11:46	ga_s2bm_ard_3-2-1_54KZF_2022-02-15_final.stac-item
2022-02-15 10:11:50	ga_s2bm_ard_3-2-1_54KYF_2022-02-15_final.stac-item
2022-02-18 10:21:30	ga_s2bm_ard_3-2-1_54KYG_2022-02-18_final.stac-item
2022-02-18 10:21:34	ga_s2bm_ard_3-2-1_54KXG_2022-02-18_final.stac-item
2022-02-18 10:21:37	ga_s2bm_ard_3-2-1_54KWG_2022-02-18_final.stac-item
2022-02-18 10:21:40	ga_s2bm_ard_3-2-1_54KVG_2022-02-18_final.stac-item
2022-02-18 10:21:45	ga_s2bm_ard_3-2-1_54KYF_2022-02-18_final.stac-item
2022-02-18 10:21:49	ga_s2bm_ard_3-2-1_54KXF_2022-02-18_final.stac-item
2022-02-25 10:11:29	ga_s2bm_ard_3-2-1_55KCB_2022-02-25_final.stac-item
2022-02-25 10:11:33	ga_s2bm_ard_3-2-1_55KBB_2022-02-25_final.stac-item
2022-02-25 10:11:34	ga_s2bm_ard_3-2-1_54KZG_2022-02-25_final.stac-item
2022-02-25 10:11:37	ga_s2bm_ard_3-2-1_54KYG_2022-02-25_final.stac-item
2022-02-25 10:11:44	ga_s2bm_ard_3-2-1_55KCA_2022-02-25_final.stac-item
2022-02-25 10:11:47	ga_s2bm_ard_3-2-1_55KBA_2022-02-25_final.stac-item
2022-02-25 10:11:48	ga_s2bm_ard_3-2-1_54KZF_2022-02-25_final.stac-item
2022-02-25 10:11:52	ga_s2bm_ard_3-2-1_54KYF_2022-02-25_final.stac-item
2022-04-25 10:41:37	ga_s2bm_ard_3-2-1_54KTG_2022-04-25_final.stac-item
2022-04-25 10:41:39	ga_s2bm_ard_3-2-1_53KRB_2022-04-25_final.stac-item
2022-04-25 10:41:43	ga_s2bm_ard_3-2-1_53KQB_2022-04-25_final.stac-item
2022-04-25 10:41:46	ga_s2bm_ard_3-2-1_53KPB_2022-04-25_final.stac-item
2022-04-25 10:41:48	ga_s2bm_ard_3-2-1_54KTF_2022-04-25_final.stac-item
2022-04-25 10:41:49	ga_s2bm_ard_3-2-1_53KNB_2022-04-25_final.stac-item
2022-04-25 10:41:53	ga_s2bm_ard_3-2-1_53KRA_2022-04-25_final.stac-item
2022-04-25 10:41:57	ga_s2bm_ard_3-2-1_53KQA_2022-04-25_final.stac-item
2022-04-25 10:42:01	ga_s2bm_ard_3-2-1_53KPA_2022-04-25_final.stac-item
2022-04-26 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-04-26_final
2022-04-26 11:52:28	ga_s2bm_ard_3-2-1_50KQF_2022-04-26_final
2022-04-26 11:52:31	ga_s2bm_ard_3-2-1_50KPF_2022-04-26_final
2022-05-15 10:41:42	ga_s2bm_ard_3-2-1_54KTG_2022-05-15_final.stac-item
2022-05-15 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2022-05-15_final.stac-item
2022-05-15 10:41:48	ga_s2bm_ard_3-2-1_53KQB_2022-05-15_final.stac-item
2022-05-15 10:41:51	ga_s2bm_ard_3-2-1_53KPB_2022-05-15_final.stac-item
2022-05-15 10:41:53	ga_s2bm_ard_3-2-1_54KTF_2022-05-15_final.stac-item
2022-05-15 10:41:54	ga_s2bm_ard_3-2-1_53KNB_2022-05-15_final.stac-item
2022-05-15 10:41:58	ga_s2bm_ard_3-2-1_53KRA_2022-05-15_final.stac-item
2022-05-15 10:42:02	ga_s2bm_ard_3-2-1_53KQA_2022-05-15_final.stac-item
2022-05-15 10:42:06	ga_s2bm_ard_3-2-1_53KPA_2022-05-15_final.stac-item
2022-05-16 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-05-16_final
2022-05-16 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2022-05-16_final
2022-05-16 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2022-05-16_final
2022-05-18 10:51:50	ga_s2bm_ard_3-2-1_53KNB_2022-05-18_final.stac-item
2022-05-18 10:51:54	ga_s2bm_ard_3-2-1_53KMB_2022-05-18_final.stac-item
2022-05-18 10:51:57	ga_s2bm_ard_3-2-1_53KLB_2022-05-18_final.stac-item
2022-05-18 10:52:01	ga_s2bm_ard_3-2-1_53KKB_2022-05-18_final.stac-item
2022-05-18 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2022-05-18_final.stac-item
2022-05-18 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2022-05-18_final.stac-item
2022-05-27 09:41:24	ga_s2bm_ard_3-2-1_56KMG_2022-05-27_final
2022-05-27 09:41:27	ga_s2bm_ard_3-2-1_56KLG_2022-05-27_final
2022-05-27 09:41:30	ga_s2bm_ard_3-2-1_56KKG_2022-05-27_final
2022-05-27 09:41:32	ga_s2bm_ard_3-2-1_55KHB_2022-05-27_final
2022-05-27 09:41:42	ga_s2bm_ard_3-2-1_56KLF_2022-05-27_final.stac-item
2022-05-27 09:41:45	ga_s2bm_ard_3-2-1_56KKF_2022-05-27_final.stac-item
2022-06-05 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2022-06-05_final
2022-06-05 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2022-06-05_final
2022-06-05 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2022-06-05_final
2022-06-12 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2022-06-12_final.stac-item
2022-06-12 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2022-06-12_final.stac-item
2022-06-12 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2022-06-12_final

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