Search ga_s2bm_ard_3 across August 2022

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-08-01 10:05:49	ga_s2bm_ard_3-2-1_54JWL_2022-08-01_final.stac-item
2022-08-01 10:07:12	ga_s2bm_ard_3-2-1_54HXE_2022-08-01_final
2022-08-01 11:41:38	ga_s2bm_ard_3-2-1_51LUE_2022-08-01_final
2022-08-02 11:11:20	ga_s2bm_ard_3-2-1_52LFK_2022-08-02_final
2022-08-03 10:40:41	ga_s2bm_ard_3-2-1_53LQG_2022-08-03_final.stac-item
2022-08-03 10:41:13	ga_s2bm_ard_3-2-1_53LPE_2022-08-03_final
2022-08-03 10:43:19	ga_s2bm_ard_3-2-1_53KQR_2022-08-03_final
2022-08-04 10:10:30	ga_s2bm_ard_3-2-1_54LZM_2022-08-04_final
2022-08-04 10:15:45	ga_s2bm_ard_3-2-1_54JWL_2022-08-04_final.stac-item
2022-08-05 09:43:06	ga_s2bm_ard_3-2-1_55KGR_2022-08-05_final
2022-08-05 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2022-08-05_final
2022-08-05 09:47:12	ga_s2bm_ard_3-2-1_55HCV_2022-08-05_final
2022-08-05 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2022-08-05_final.stac-item
2022-08-05 11:27:18	ga_s2bm_ard_3-2-1_51HTB_2022-08-05_final.stac-item
2022-08-06 10:50:32	ga_s2bm_ard_3-2-1_53LQG_2022-08-06_final.stac-item
2022-08-06 10:51:08	ga_s2bm_ard_3-2-1_53LPE_2022-08-06_final
2022-08-06 10:53:36	ga_s2bm_ard_3-2-1_52KGA_2022-08-06_final
2022-08-07 10:20:25	ga_s2bm_ard_3-2-1_54LZM_2022-08-07_final
2022-08-07 10:21:04	ga_s2bm_ard_3-2-1_54LWK_2022-08-07_final
2022-08-08 09:56:41	ga_s2bm_ard_3-2-1_55HBB_2022-08-08_final.stac-item
2022-08-08 09:57:07	ga_s2bm_ard_3-2-1_55HCV_2022-08-08_final
2022-08-08 09:57:16	ga_s2bm_ard_3-2-1_54HXE_2022-08-08_final
2022-08-08 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2022-08-08_final.stac-item
2022-08-09 09:25:26	ga_s2bm_ard_3-2-1_56JNL_2022-08-08_final
2022-08-09 11:03:31	ga_s2bm_ard_3-2-1_52KGA_2022-08-09_final
2022-08-10 10:30:59	ga_s2bm_ard_3-2-1_54LWK_2022-08-10_final
2022-08-10 10:32:47	ga_s2bm_ard_3-2-1_54KVC_2022-08-10_final
2022-08-10 10:33:24	ga_s2bm_ard_3-2-1_53KQR_2022-08-10_final
2022-08-10 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2022-08-10_final
2022-08-11 10:05:48	ga_s2bm_ard_3-2-1_54JWL_2022-08-11_final.stac-item
2022-08-11 10:07:11	ga_s2bm_ard_3-2-1_54HXE_2022-08-11_final
2022-08-11 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2022-08-11_final
2022-08-12 11:10:41	ga_s2bm_ard_3-2-1_52LHM_2022-08-12_final
2022-08-12 11:11:19	ga_s2bm_ard_3-2-1_52LFK_2022-08-12_final
2022-08-13 10:40:40	ga_s2bm_ard_3-2-1_53LQG_2022-08-13_final.stac-item
2022-08-13 10:41:12	ga_s2bm_ard_3-2-1_53LPE_2022-08-13_final
2022-08-13 10:43:18	ga_s2bm_ard_3-2-1_53KQR_2022-08-13_final
2022-08-14 10:10:29	ga_s2bm_ard_3-2-1_54LZM_2022-08-14_final
2022-08-14 10:15:44	ga_s2bm_ard_3-2-1_54JWL_2022-08-14_final.stac-item
2022-08-15 09:43:04	ga_s2bm_ard_3-2-1_55KGR_2022-08-15_final
2022-08-15 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2022-08-15_final
2022-08-15 09:47:10	ga_s2bm_ard_3-2-1_55HCV_2022-08-15_final
2022-08-15 11:21:24	ga_s2bm_ard_3-2-1_52LCK_2022-08-15_final.stac-item
2022-08-15 11:27:17	ga_s2bm_ard_3-2-1_51HTB_2022-08-15_final.stac-item
2022-08-16 10:50:30	ga_s2bm_ard_3-2-1_53LQG_2022-08-16_final.stac-item
2022-08-16 10:53:35	ga_s2bm_ard_3-2-1_52KGA_2022-08-16_final
2022-08-17 10:20:23	ga_s2bm_ard_3-2-1_54LZM_2022-08-17_final
2022-08-17 10:21:03	ga_s2bm_ard_3-2-1_54LWK_2022-08-17_final
2022-08-18 09:56:39	ga_s2bm_ard_3-2-1_55HBB_2022-08-18_final.stac-item
2022-08-18 09:57:05	ga_s2bm_ard_3-2-1_55HCV_2022-08-18_final
2022-08-18 09:57:14	ga_s2bm_ard_3-2-1_54HXE_2022-08-18_final
2022-08-18 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2022-08-18_final.stac-item
2022-08-19 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2022-08-18_final
2022-08-19 11:03:29	ga_s2bm_ard_3-2-1_52KGA_2022-08-19_final
2022-08-20 08:55:22	ga_s2bm_ard_3-2-1_57JWF_2022-08-19_interim.stac-item
2022-08-20 10:30:57	ga_s2bm_ard_3-2-1_54LWK_2022-08-20_final
2022-08-20 10:32:45	ga_s2bm_ard_3-2-1_54KVC_2022-08-20_final
2022-08-20 10:32:49	ga_s2bm_ard_3-2-1_54KUC_2022-08-20_final
2022-08-20 10:33:22	ga_s2bm_ard_3-2-1_53KQR_2022-08-20_final
2022-08-20 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-08-20_final
2022-08-21 10:05:38	ga_s2bm_ard_3-2-1_54JWL_2022-08-21_final.stac-item
2022-08-21 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2022-08-21_final.stac-item
2022-08-21 10:06:34	ga_s2bm_ard_3-2-1_55HBB_2022-08-21_final.stac-item
2022-08-21 10:07:09	ga_s2bm_ard_3-2-1_54HXE_2022-08-21_final
2022-08-21 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2022-08-21_final
2022-08-22 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2022-08-22_final
2022-08-22 11:11:17	ga_s2bm_ard_3-2-1_52LFK_2022-08-22_final
2022-08-23 09:05:10	ga_s2bm_ard_3-2-1_57JWF_2022-08-22_final.stac-item
2022-08-23 09:05:14	ga_s2bm_ard_3-2-1_57JVF_2022-08-22_final.stac-item
2022-08-23 10:40:37	ga_s2bm_ard_3-2-1_53LQG_2022-08-23_final.stac-item
2022-08-23 10:41:09	ga_s2bm_ard_3-2-1_53LPE_2022-08-23_final
2022-08-23 10:43:15	ga_s2bm_ard_3-2-1_53KQR_2022-08-23_final
2022-08-24 10:10:26	ga_s2bm_ard_3-2-1_54LZM_2022-08-24_final
2022-08-24 10:13:09	ga_s2bm_ard_3-2-1_54KYA_2022-08-24_final
2022-08-24 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2022-08-24_final.stac-item
2022-08-25 09:43:01	ga_s2bm_ard_3-2-1_55KGR_2022-08-25_final
2022-08-25 09:46:17	ga_s2bm_ard_3-2-1_55HGB_2022-08-25_final
2022-08-25 09:47:07	ga_s2bm_ard_3-2-1_55HCV_2022-08-25_final
2022-08-25 11:21:08	ga_s2bm_ard_3-2-1_52LEK_2022-08-25_final.stac-item
2022-08-25 11:21:21	ga_s2bm_ard_3-2-1_52LCK_2022-08-25_final.stac-item
2022-08-26 10:51:04	ga_s2bm_ard_3-2-1_53LPE_2022-08-26_final
2022-08-26 10:53:32	ga_s2bm_ard_3-2-1_52KGA_2022-08-26_final
2022-08-27 10:20:21	ga_s2bm_ard_3-2-1_54LZM_2022-08-27_final
2022-08-27 10:21:00	ga_s2bm_ard_3-2-1_54LWK_2022-08-27_final
2022-08-28 09:56:38	ga_s2bm_ard_3-2-1_55HBB_2022-08-28_final.stac-item
2022-08-28 09:57:03	ga_s2bm_ard_3-2-1_55HCV_2022-08-28_final
2022-08-28 09:57:12	ga_s2bm_ard_3-2-1_54HXE_2022-08-28_final
2022-08-28 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2022-08-28_final.stac-item
2022-08-29 09:22:50	ga_s2bm_ard_3-2-1_56KQA_2022-08-28_interim.stac-item
2022-08-29 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2022-08-28_final
2022-08-29 11:03:28	ga_s2bm_ard_3-2-1_52KGA_2022-08-29_final
2022-08-30 08:55:21	ga_s2bm_ard_3-2-1_57JWF_2022-08-29_interim.stac-item
2022-08-30 10:30:56	ga_s2bm_ard_3-2-1_54LWK_2022-08-30_final
2022-08-30 10:32:44	ga_s2bm_ard_3-2-1_54KVC_2022-08-30_final
2022-08-30 10:32:48	ga_s2bm_ard_3-2-1_54KUC_2022-08-30_final
2022-08-30 10:33:21	ga_s2bm_ard_3-2-1_53KQR_2022-08-30_final
2022-08-30 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2022-08-30_final
2022-08-31 10:05:37	ga_s2bm_ard_3-2-1_54JWL_2022-08-31_final.stac-item
2022-08-31 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2022-08-31_final.stac-item
2022-08-31 10:07:09	ga_s2bm_ard_3-2-1_54HXE_2022-08-31_final

Return to ga_s2bm_ard_3 across August 2022 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2022

August

All days