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
2020-03-18 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2020-03-18_final.stac-item
2020-03-18 11:22:17	ga_s2bm_ard_3-2-1_52KCF_2020-03-18_final.stac-item
2020-03-18 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2020-03-18_final.stac-item
2020-03-18 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2020-03-18_final.stac-item
2020-03-18 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2020-03-18_final.stac-item
2020-03-19 10:52:03	ga_s2bm_ard_3-2-1_53KNA_2020-03-19_final.stac-item
2020-03-19 10:52:07	ga_s2bm_ard_3-2-1_53KMA_2020-03-19_final.stac-item
2020-03-19 10:52:10	ga_s2bm_ard_3-2-1_53KLA_2020-03-19_final.stac-item
2020-03-19 10:52:13	ga_s2bm_ard_3-2-1_53KKA_2020-03-19_final.stac-item
2020-03-19 10:52:18	ga_s2bm_ard_3-2-1_52KHF_2020-03-19_final.stac-item
2020-03-20 10:21:49	ga_s2bm_ard_3-2-1_54KYF_2020-03-20_final.stac-item
2020-03-20 10:21:53	ga_s2bm_ard_3-2-1_54KXF_2020-03-20_final.stac-item
2020-03-20 10:21:56	ga_s2bm_ard_3-2-1_54KWF_2020-03-20_final.stac-item
2020-03-20 10:22:00	ga_s2bm_ard_3-2-1_54KVF_2020-03-20_final.stac-item
2020-03-21 09:51:38	ga_s2bm_ard_3-2-1_56KKF_2020-03-21_final.stac-item
2020-03-21 09:51:46	ga_s2bm_ard_3-2-1_55KFA_2020-03-21_final.stac-item
2020-03-22 11:02:01	ga_s2bm_ard_3-2-1_53KLA_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
2020-03-22 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2020-03-22_final.stac-item
2020-03-26 10:41:52	ga_s2bm_ard_3-2-1_54KTF_2020-03-26_final.stac-item
2020-03-26 10:41:56	ga_s2bm_ard_3-2-1_53KRA_2020-03-26_final.stac-item
2020-03-26 10:41:58	ga_s2bm_ard_3-2-1_53KQA_2020-03-26_final.stac-item
2020-03-26 10:42:02	ga_s2bm_ard_3-2-1_53KRA_2020-03-26_final.stac-item
2020-03-26 10:42:04	ga_s2bm_ard_3-2-1_53KQA_2020-03-26_final.stac-item
2020-03-26 10:42:06	ga_s2bm_ard_3-2-1_53KPA_2020-03-26_final.stac-item
2020-03-26 10:42:08	ga_s2bm_ard_3-2-1_53KNA_2020-03-26_final.stac-item
2020-03-28 09:41:36	ga_s2bm_ard_3-2-1_56KMF_2020-03-28_final
2020-03-28 09:41:39	ga_s2bm_ard_3-2-1_56KLF_2020-03-28_final.stac-item
2020-03-28 09:41:42	ga_s2bm_ard_3-2-1_56KKF_2020-03-28_final.stac-item
2020-03-28 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2020-03-28_final.stac-item
2020-03-28 11:22:17	ga_s2bm_ard_3-2-1_52KCF_2020-03-28_final.stac-item
2020-03-28 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2020-03-28_final.stac-item
2020-03-28 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2020-03-28_final.stac-item
2020-03-28 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2020-03-28_final.stac-item
2020-03-29 10:52:03	ga_s2bm_ard_3-2-1_53KNA_2020-03-29_final.stac-item
2020-03-29 10:52:06	ga_s2bm_ard_3-2-1_53KMA_2020-03-29_final.stac-item
2020-03-29 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2020-03-29_final.stac-item
2020-03-29 10:52:12	ga_s2bm_ard_3-2-1_53KKA_2020-03-29_final.stac-item
2020-03-29 10:52:17	ga_s2bm_ard_3-2-1_52KHF_2020-03-29_final.stac-item
2020-03-31 09:51:37	ga_s2bm_ard_3-2-1_56KKF_2020-03-31_final.stac-item
2020-03-31 09:51:45	ga_s2bm_ard_3-2-1_55KFA_2020-03-31_final.stac-item
2020-03-31 11:32:19	ga_s2bm_ard_3-2-1_51KYA_2020-03-31_final.stac-item
2020-03-31 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2020-03-31_final.stac-item
2020-03-31 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2020-03-31_final.stac-item
2020-03-31 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2020-03-31_final.stac-item
2020-04-05 10:42:05	ga_s2bm_ard_3-2-1_53KPA_2020-04-05_final.stac-item
2020-04-05 10:42:07	ga_s2bm_ard_3-2-1_53KNA_2020-04-05_final.stac-item
2020-04-08 10:52:02	ga_s2bm_ard_3-2-1_53KNA_2020-04-08_final.stac-item
2020-04-08 10:52:05	ga_s2bm_ard_3-2-1_53KMA_2020-04-08_final.stac-item
2020-04-08 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2020-04-08_final.stac-item
2020-04-08 10:52:12	ga_s2bm_ard_3-2-1_53KKA_2020-04-08_final.stac-item
2020-04-08 10:52:16	ga_s2bm_ard_3-2-1_52KHF_2020-04-08_final.stac-item
2020-04-09 10:21:48	ga_s2bm_ard_3-2-1_54KYF_2020-04-09_final.stac-item
2020-04-09 10:21:52	ga_s2bm_ard_3-2-1_54KXF_2020-04-09_final.stac-item
2020-04-09 10:21:55	ga_s2bm_ard_3-2-1_54KWF_2020-04-09_final.stac-item
2020-04-09 10:21:58	ga_s2bm_ard_3-2-1_54KVF_2020-04-09_final.stac-item
2020-04-10 09:51:36	ga_s2bm_ard_3-2-1_56KKF_2020-04-10_final.stac-item
2020-04-10 09:51:44	ga_s2bm_ard_3-2-1_55KFA_2020-04-10_final.stac-item
2020-04-12 10:31:53	ga_s2bm_ard_3-2-1_54KVF_2020-04-12_final.stac-item
2020-04-12 10:31:56	ga_s2bm_ard_3-2-1_54KUF_2020-04-12_final.stac-item
2020-04-12 10:31:59	ga_s2bm_ard_3-2-1_54KTF_2020-04-12_final.stac-item
2020-04-12 10:32:01	ga_s2bm_ard_3-2-1_53KRA_2020-04-12_final.stac-item
2020-04-12 10:32:07	ga_s2bm_ard_3-2-1_53KQA_2020-04-12_final.stac-item
2020-04-13 10:01:38	ga_s2bm_ard_3-2-1_55KFA_2020-04-13_final.stac-item
2020-04-13 10:01:43	ga_s2bm_ard_3-2-1_55KDA_2020-04-13_final.stac-item
2020-04-13 10:01:44	ga_s2bm_ard_3-2-1_55KCA_2020-04-13_final.stac-item
2020-04-13 10:01:49	ga_s2bm_ard_3-2-1_55KDA_2020-04-13_final.stac-item
2020-04-13 10:01:51	ga_s2bm_ard_3-2-1_55KCA_2020-04-13_final.stac-item
2020-04-19 10:21:46	ga_s2bm_ard_3-2-1_54KYF_2020-04-19_final.stac-item
2020-04-19 10:21:50	ga_s2bm_ard_3-2-1_54KXF_2020-04-19_final.stac-item
2020-04-19 10:21:54	ga_s2bm_ard_3-2-1_54KWF_2020-04-19_final.stac-item
2020-04-19 10:21:57	ga_s2bm_ard_3-2-1_54KVF_2020-04-19_final.stac-item
2020-04-22 10:31:51	ga_s2bm_ard_3-2-1_54KVF_2020-04-22_final.stac-item
2020-04-22 10:31:55	ga_s2bm_ard_3-2-1_54KUF_2020-04-22_final.stac-item
2020-04-22 10:31:58	ga_s2bm_ard_3-2-1_54KTF_2020-04-22_final.stac-item
2020-04-22 10:31:59	ga_s2bm_ard_3-2-1_53KRA_2020-04-22_final.stac-item
2020-04-22 10:32:06	ga_s2bm_ard_3-2-1_53KQA_2020-04-22_final.stac-item
2020-04-23 10:01:37	ga_s2bm_ard_3-2-1_55KFA_2020-04-23_final.stac-item
2020-04-23 10:01:44	ga_s2bm_ard_3-2-1_55KDA_2020-04-23_final.stac-item
2020-04-23 10:01:47	ga_s2bm_ard_3-2-1_55KCA_2020-04-23_final.stac-item
2023-08-18 10:41:59	ga_s2bm_ard_3-2-1_54KTF_2023-08-18_final
2023-08-18 10:42:05	ga_s2bm_ard_3-2-1_53KRA_2023-08-18_final
2023-08-18 10:42:09	ga_s2bm_ard_3-2-1_53KQA_2023-08-18_final
2023-08-18 10:42:12	ga_s2bm_ard_3-2-1_53KPA_2023-08-18_final
2023-08-18 10:42:15	ga_s2bm_ard_3-2-1_53KNA_2023-08-18_final
2023-08-19 10:11:54	ga_s2bm_ard_3-2-1_55KCA_2023-08-19_final
2023-08-19 10:11:57	ga_s2bm_ard_3-2-1_55KBA_2023-08-19_final
2023-08-19 10:11:58	ga_s2bm_ard_3-2-1_54KZF_2023-08-19_final
2023-08-19 10:12:01	ga_s2bm_ard_3-2-1_54KYF_2023-08-19_final
2023-08-19 10:12:07	ga_s2bm_ard_3-2-1_54KXF_2023-08-19_final
2023-08-21 10:52:10	ga_s2bm_ard_3-2-1_53KNA_2023-08-21_final
2023-08-21 10:52:14	ga_s2bm_ard_3-2-1_53KMA_2023-08-21_final
2023-08-21 10:52:17	ga_s2bm_ard_3-2-1_53KLA_2023-08-21_final
2023-08-21 10:52:20	ga_s2bm_ard_3-2-1_53KKA_2023-08-21_final
2023-08-21 10:52:24	ga_s2bm_ard_3-2-1_52KHF_2023-08-21_final
2023-08-22 10:21:56	ga_s2bm_ard_3-2-1_54KYF_2023-08-22_final
2023-08-22 10:22:00	ga_s2bm_ard_3-2-1_54KXF_2023-08-22_final
2023-08-22 10:22:03	ga_s2bm_ard_3-2-1_54KWF_2023-08-22_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