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
2019-06-05 11:32:15	ga_s2bm_ard_3-2-1_51KYB_2019-06-05_final.stac-item
2019-06-05 11:32:19	ga_s2bm_ard_3-2-1_51KXB_2019-06-05_final.stac-item
2019-06-05 11:32:23	ga_s2bm_ard_3-2-1_51KWB_2019-06-05_final.stac-item
2019-06-05 11:32:27	ga_s2bm_ard_3-2-1_51KVB_2019-06-05_final.stac-item
2019-06-15 09:51:37	ga_s2bm_ard_3-2-1_55KGB_2019-06-15_final.stac-item
2019-06-15 09:51:41	ga_s2bm_ard_3-2-1_55KFB_2019-06-15_final.stac-item
2019-06-15 09:51:47	ga_s2bm_ard_3-2-1_56KKF_2019-06-15_final.stac-item
2019-06-16 11:02:03	ga_s2bm_ard_3-2-1_53KKB_2019-06-16_final.stac-item
2019-06-16 11:02:11	ga_s2bm_ard_3-2-1_52KFG_2019-06-16_final.stac-item
2019-06-16 11:02:18	ga_s2bm_ard_3-2-1_53KKA_2019-06-16_final.stac-item
2019-06-26 11:02:00	ga_s2bm_ard_3-2-1_53KLB_2019-06-26_final.stac-item
2019-06-26 11:02:04	ga_s2bm_ard_3-2-1_53KKB_2019-06-26_final.stac-item
2019-06-26 11:02:05	ga_s2bm_ard_3-2-1_52KHG_2019-06-26_final.stac-item
2019-06-26 11:02:09	ga_s2bm_ard_3-2-1_52KGG_2019-06-26_final.stac-item
2019-06-26 11:02:12	ga_s2bm_ard_3-2-1_52KFG_2019-06-26_final.stac-item
2019-06-26 11:02:18	ga_s2bm_ard_3-2-1_53KKA_2019-06-26_final.stac-item
2019-06-26 11:02:20	ga_s2bm_ard_3-2-1_52KHF_2019-06-26_final.stac-item
2019-06-26 11:02:23	ga_s2bm_ard_3-2-1_52KGF_2019-06-26_final.stac-item
2019-08-04 11:32:15	ga_s2bm_ard_3-2-1_51KYB_2019-08-04_final.stac-item
2019-08-04 11:32:19	ga_s2bm_ard_3-2-1_51KXB_2019-08-04_final.stac-item
2019-08-04 11:32:22	ga_s2bm_ard_3-2-1_51KWB_2019-08-04_final.stac-item
2019-08-04 11:32:27	ga_s2bm_ard_3-2-1_51KVB_2019-08-04_final.stac-item
2019-08-21 11:22:06	ga_s2bm_ard_3-2-1_52KDG_2019-08-21_final.stac-item
2019-08-21 11:22:10	ga_s2bm_ard_3-2-1_52KCG_2019-08-21_final.stac-item
2019-08-21 11:22:13	ga_s2bm_ard_3-2-1_52KBG_2019-08-21_final.stac-item
2019-08-21 11:22:14	ga_s2bm_ard_3-2-1_51KZB_2019-08-21_final.stac-item
2019-08-21 11:22:17	ga_s2bm_ard_3-2-1_51KYB_2019-08-21_final.stac-item
2019-08-21 11:22:28	ga_s2bm_ard_3-2-1_52KBF_2019-08-21_final.stac-item
2019-08-21 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2019-08-21_final.stac-item
2019-08-21 11:22:32	ga_s2bm_ard_3-2-1_51KYA_2019-08-21_final.stac-item
2019-08-24 09:51:35	ga_s2bm_ard_3-2-1_55KGB_2019-08-24_final.stac-item
2019-08-24 09:51:38	ga_s2bm_ard_3-2-1_55KFB_2019-08-24_final.stac-item
2019-08-24 09:51:45	ga_s2bm_ard_3-2-1_56KKF_2019-08-24_final.stac-item
2019-08-30 10:11:37	ga_s2bm_ard_3-2-1_55KCB_2019-08-30_final.stac-item
2019-08-30 10:11:41	ga_s2bm_ard_3-2-1_55KBB_2019-08-30_final.stac-item
2019-08-30 10:11:42	ga_s2bm_ard_3-2-1_54KZG_2019-08-30_final.stac-item
2019-08-30 10:11:45	ga_s2bm_ard_3-2-1_54KYG_2019-08-30_final.stac-item
2019-08-30 10:11:52	ga_s2bm_ard_3-2-1_55KBA_2019-08-30_final.stac-item
2019-08-30 10:11:52	ga_s2bm_ard_3-2-1_54KZF_2019-08-30_final.stac-item
2019-08-30 10:11:54	ga_s2bm_ard_3-2-1_54KYF_2019-08-30_final.stac-item
2019-08-31 11:22:04	ga_s2bm_ard_3-2-1_52KDG_2019-08-31_final.stac-item
2019-08-31 11:22:08	ga_s2bm_ard_3-2-1_52KCG_2019-08-31_final.stac-item
2019-08-31 11:22:11	ga_s2bm_ard_3-2-1_52KBG_2019-08-31_final.stac-item
2019-08-31 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2019-08-31_final.stac-item
2019-08-31 11:22:16	ga_s2bm_ard_3-2-1_51KYB_2019-08-31_final.stac-item
2019-08-31 11:22:26	ga_s2bm_ard_3-2-1_52KBF_2019-08-31_final.stac-item
2019-08-31 11:22:27	ga_s2bm_ard_3-2-1_51KZA_2019-08-31_final.stac-item
2019-08-31 11:22:30	ga_s2bm_ard_3-2-1_51KYA_2019-08-31_final.stac-item
2019-09-02 10:21:40	ga_s2bm_ard_3-2-1_54KYG_2019-09-02_final.stac-item
2019-09-02 10:21:44	ga_s2bm_ard_3-2-1_54KXG_2019-09-02_final.stac-item
2019-09-02 10:21:47	ga_s2bm_ard_3-2-1_54KWG_2019-09-02_final.stac-item
2019-09-02 10:21:50	ga_s2bm_ard_3-2-1_54KVG_2019-09-02_final.stac-item
2019-09-03 11:32:10	ga_s2bm_ard_3-2-1_51KYB_2019-09-03_final.stac-item
2019-09-03 11:32:14	ga_s2bm_ard_3-2-1_51KXB_2019-09-03_final.stac-item
2019-09-03 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2019-09-03_final.stac-item
2019-09-03 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2019-09-03_final.stac-item
2019-09-04 11:02:18	ga_s2bm_ard_3-2-1_52KGF_2019-09-04_final.stac-item
2019-09-05 10:31:45	ga_s2bm_ard_3-2-1_54KVG_2019-09-05_final.stac-item
2019-09-05 10:31:48	ga_s2bm_ard_3-2-1_54KUG_2019-09-05_final.stac-item
2019-09-05 10:31:51	ga_s2bm_ard_3-2-1_54KTG_2019-09-05_final.stac-item
2019-09-05 10:31:52	ga_s2bm_ard_3-2-1_53KRB_2019-09-05_final
2019-09-05 10:32:06	ga_s2bm_ard_3-2-1_54KTF_2019-09-05_final.stac-item
2019-09-05 10:32:07	ga_s2bm_ard_3-2-1_53KRA_2019-09-05_final.stac-item
2019-09-07 11:12:01	ga_s2bm_ard_3-2-1_52KFG_2019-09-07_final.stac-item
2019-09-07 11:12:05	ga_s2bm_ard_3-2-1_52KEG_2019-09-07_final.stac-item
2019-09-07 11:12:08	ga_s2bm_ard_3-2-1_52KDG_2019-09-07_final.stac-item
2019-09-07 11:12:13	ga_s2bm_ard_3-2-1_52KCG_2019-09-07_final.stac-item
2019-09-12 10:21:38	ga_s2bm_ard_3-2-1_54KYG_2019-09-12_final.stac-item
2019-09-12 10:21:41	ga_s2bm_ard_3-2-1_54KXG_2019-09-12_final.stac-item
2019-09-12 10:21:45	ga_s2bm_ard_3-2-1_54KWG_2019-09-12_final.stac-item
2019-09-12 10:21:48	ga_s2bm_ard_3-2-1_54KVG_2019-09-12_final.stac-item
2019-09-13 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-09-13_final.stac-item
2019-09-13 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2019-09-13_final.stac-item
2019-09-13 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2019-09-13_final.stac-item
2019-09-13 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-09-13_final.stac-item
2019-09-15 10:31:42	ga_s2bm_ard_3-2-1_54KVG_2019-09-15_final.stac-item
2019-09-15 10:31:46	ga_s2bm_ard_3-2-1_54KUG_2019-09-15_final.stac-item
2019-09-15 10:31:49	ga_s2bm_ard_3-2-1_54KTG_2019-09-15_final.stac-item
2019-09-15 10:31:50	ga_s2bm_ard_3-2-1_53KRB_2019-09-15_final
2019-09-15 10:32:03	ga_s2bm_ard_3-2-1_54KTF_2019-09-15_final.stac-item
2019-09-15 10:32:04	ga_s2bm_ard_3-2-1_53KRA_2019-09-15_final.stac-item
2019-09-17 11:11:58	ga_s2bm_ard_3-2-1_52KFG_2019-09-17_final.stac-item
2019-09-17 11:12:02	ga_s2bm_ard_3-2-1_52KEG_2019-09-17_final.stac-item
2019-09-17 11:12:05	ga_s2bm_ard_3-2-1_52KDG_2019-09-17_final.stac-item
2019-09-17 11:12:10	ga_s2bm_ard_3-2-1_52KCG_2019-09-17_final.stac-item
2024-03-17 11:21:59	ga_s2bm_ard_3-2-1_52KDG_2024-03-17_final
2024-03-17 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2024-03-17_final
2024-03-17 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2024-03-17_final
2024-03-17 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2024-03-17_final
2024-03-17 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2024-03-17_final
2024-03-17 11:22:21	ga_s2bm_ard_3-2-1_52KBF_2024-03-17_final
2024-03-17 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2024-03-17_final
2024-03-17 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2024-03-17_final
2024-03-27 11:22:01	ga_s2bm_ard_3-2-1_52KDG_2024-03-27_final
2024-03-27 11:22:05	ga_s2bm_ard_3-2-1_52KCG_2024-03-27_final
2024-03-27 11:22:08	ga_s2bm_ard_3-2-1_52KBG_2024-03-27_final
2024-03-27 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2024-03-27_final
2024-03-27 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2024-03-27_final
2024-03-27 11:22:23	ga_s2bm_ard_3-2-1_52KBF_2024-03-27_final
2024-03-27 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2024-03-27_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