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
2019-07-22 09:41:50	ga_s2bm_ard_3-2-1_56KLF_2019-07-22_final.stac-item
2019-07-22 09:41:53	ga_s2bm_ard_3-2-1_56KKF_2019-07-22_final.stac-item
2019-11-06 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2019-11-06_final.stac-item
2019-11-06 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2019-11-06_final.stac-item
2019-11-06 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2019-11-06_final.stac-item
2019-11-06 11:12:11	ga_s2bm_ard_3-2-1_52KCG_2019-11-06_final.stac-item
2019-11-06 11:12:14	ga_s2bm_ard_3-2-1_52KFF_2019-11-06_final.stac-item
2019-11-06 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2019-11-06_final.stac-item
2019-11-06 11:12:20	ga_s2bm_ard_3-2-1_52KDF_2019-11-06_final.stac-item
2019-11-06 11:12:24	ga_s2bm_ard_3-2-1_52KCF_2019-11-06_final.stac-item
2019-11-19 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2019-11-19_final.stac-item
2019-11-19 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2019-11-19_final.stac-item
2019-11-19 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2019-11-19_final.stac-item
2019-11-19 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2019-11-19_final.stac-item
2019-11-19 11:22:17	ga_s2bm_ard_3-2-1_52KCF_2019-11-19_final.stac-item
2019-11-19 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2019-11-19_final.stac-item
2019-11-19 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2019-11-19_final.stac-item
2019-11-19 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2019-11-19_final.stac-item
2019-11-22 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2019-11-22_final.stac-item
2019-11-22 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2019-11-22_final.stac-item
2019-11-22 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2019-11-22_final.stac-item
2019-11-22 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2019-11-22_final.stac-item
2019-11-22 11:32:19	ga_s2bm_ard_3-2-1_51KYA_2019-11-22_final.stac-item
2019-11-22 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2019-11-22_final.stac-item
2019-11-22 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2019-11-22_final.stac-item
2019-11-22 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2019-11-22_final.stac-item
2019-11-27 10:41:45	ga_s2bm_ard_3-2-1_53KQB_2019-11-27_final
2019-11-27 10:41:48	ga_s2bm_ard_3-2-1_53KPB_2019-11-27_final.stac-item
2019-11-27 10:41:50	ga_s2bm_ard_3-2-1_54KTF_2019-11-27_final.stac-item
2019-11-27 10:41:51	ga_s2bm_ard_3-2-1_53KNB_2019-11-27_final.stac-item
2019-11-27 10:41:56	ga_s2bm_ard_3-2-1_53KRA_2019-11-27_final.stac-item
2019-11-27 10:41:59	ga_s2bm_ard_3-2-1_53KQA_2019-11-27_final.stac-item
2019-11-27 10:42:03	ga_s2bm_ard_3-2-1_53KPA_2019-11-27_final.stac-item
2019-11-27 10:42:06	ga_s2bm_ard_3-2-1_53KNA_2019-11-27_final.stac-item
2021-05-09 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2021-05-09_final.stac-item
2021-05-09 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2021-05-09_final.stac-item
2021-05-09 11:12:04	ga_s2bm_ard_3-2-1_52KDG_2021-05-09_final.stac-item
2021-05-09 11:12:08	ga_s2bm_ard_3-2-1_52KCG_2021-05-09_final.stac-item
2021-05-09 11:12:12	ga_s2bm_ard_3-2-1_52KFF_2021-05-09_final.stac-item
2021-05-09 11:12:15	ga_s2bm_ard_3-2-1_52KEF_2021-05-09_final.stac-item
2021-05-09 11:12:18	ga_s2bm_ard_3-2-1_52KDF_2021-05-09_final.stac-item
2021-05-09 11:12:21	ga_s2bm_ard_3-2-1_52KCF_2021-05-09_final.stac-item
2021-05-22 11:22:00	ga_s2bm_ard_3-2-1_52KDG_2021-05-22_final.stac-item
2021-05-22 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2021-05-22_final.stac-item
2021-05-22 11:22:08	ga_s2bm_ard_3-2-1_52KBG_2021-05-22_final.stac-item
2021-05-22 11:22:12	ga_s2bm_ard_3-2-1_52KDF_2021-05-22_final.stac-item
2021-05-22 11:22:19	ga_s2bm_ard_3-2-1_52KCF_2021-05-22_final.stac-item
2021-05-22 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2021-05-22_final.stac-item
2021-05-22 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2021-05-22_final.stac-item
2021-05-22 11:22:27	ga_s2bm_ard_3-2-1_51KYA_2021-05-22_final.stac-item
2021-05-28 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-05-28_final.stac-item
2021-05-28 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2021-05-28_final.stac-item
2021-05-28 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-05-28_final
2021-05-28 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2021-05-28_final.stac-item
2021-05-28 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-05-28_final.stac-item
2021-05-28 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2021-05-28_final.stac-item
2021-06-01 11:22:01	ga_s2bm_ard_3-2-1_52KDG_2021-06-01_final.stac-item
2021-06-01 11:22:05	ga_s2bm_ard_3-2-1_52KCG_2021-06-01_final.stac-item
2021-06-01 11:22:09	ga_s2bm_ard_3-2-1_52KBG_2021-06-01_final.stac-item
2021-06-01 11:22:13	ga_s2bm_ard_3-2-1_52KDF_2021-06-01_final.stac-item
2021-06-01 11:22:20	ga_s2bm_ard_3-2-1_52KCF_2021-06-01_final.stac-item
2021-06-01 11:22:23	ga_s2bm_ard_3-2-1_52KBF_2021-06-01_final.stac-item
2021-06-01 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2021-06-01_final.stac-item
2021-06-01 11:22:27	ga_s2bm_ard_3-2-1_51KYA_2021-06-01_final.stac-item
2021-06-02 10:51:58	ga_s2bm_ard_3-2-1_53KLB_2021-06-02_final.stac-item
2021-06-02 10:52:02	ga_s2bm_ard_3-2-1_53KKB_2021-06-02_final.stac-item
2021-06-02 10:52:13	ga_s2bm_ard_3-2-1_53KLA_2021-06-02_final.stac-item
2021-06-02 10:52:16	ga_s2bm_ard_3-2-1_53KKA_2021-06-02_final.stac-item
2023-01-15 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2023-01-15_final.stac-item
2023-01-15 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2023-01-15_final.stac-item
2023-01-15 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2023-01-15_final.stac-item
2023-01-15 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2023-01-15_final.stac-item
2023-01-15 11:32:18	ga_s2bm_ard_3-2-1_51KYA_2023-01-15_final.stac-item
2023-01-15 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2023-01-15_final.stac-item
2023-01-15 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-01-15_final.stac-item
2023-01-15 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2023-01-15_final.stac-item
2023-01-18 10:01:26	ga_s2bm_ard_3-2-1_55KFB_2023-01-18_final.stac-item
2023-01-18 10:01:29	ga_s2bm_ard_3-2-1_55KEB_2023-01-18_final.stac-item
2023-01-18 10:01:33	ga_s2bm_ard_3-2-1_55KDB_2023-01-18_final.stac-item
2023-01-18 10:01:35	ga_s2bm_ard_3-2-1_55KCB_2023-01-18_final.stac-item
2023-01-18 10:01:40	ga_s2bm_ard_3-2-1_55KFA_2023-01-18_final.stac-item
2023-01-18 10:01:44	ga_s2bm_ard_3-2-1_55KEA_2023-01-18_nrt.stac-item
2023-01-18 10:01:47	ga_s2bm_ard_3-2-1_55KDA_2023-01-18_final.stac-item
2023-01-18 10:01:50	ga_s2bm_ard_3-2-1_55KCA_2023-01-18_final.stac-item
2023-01-18 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-18_final.stac-item
2023-01-18 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2023-01-18_final.stac-item
2023-01-18 11:42:17	ga_s2bm_ard_3-2-1_51KTB_2023-01-18_nrt.stac-item
2023-01-18 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2023-01-18_final.stac-item
2023-01-18 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-18_final.stac-item
2023-01-18 11:42:28	ga_s2bm_ard_3-2-1_51KUA_2023-01-18_final.stac-item
2023-01-22 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2023-01-22_final.stac-item
2023-01-22 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2023-01-22_final.stac-item
2023-01-22 11:22:08	ga_s2bm_ard_3-2-1_52KDF_2023-01-22_final.stac-item
2023-01-22 11:22:09	ga_s2bm_ard_3-2-1_52KCG_2023-01-22_final.stac-item
2023-01-22 11:22:09	ga_s2bm_ard_3-2-1_52KCF_2023-01-22_final.stac-item
2023-01-22 11:22:11	ga_s2bm_ard_3-2-1_52KBG_2023-01-22_final.stac-item
2023-01-22 11:22:11	ga_s2bm_ard_3-2-1_52KDF_2023-01-22_final.stac-item
2023-01-22 11:22:17	ga_s2bm_ard_3-2-1_52KCF_2023-01-22_final.stac-item
2023-01-22 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2023-01-22_final.stac-item
2023-01-22 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2023-01-22_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