Search ga_s2bm_ard_3 whole collection

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
2022-09-01 11:10:30	ga_s2bm_ard_3-2-1_52LGN_2022-09-01_final.stac-item
2022-09-01 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2022-09-01_final.stac-item
2022-09-01 11:10:59	ga_s2bm_ard_3-2-1_52LGL_2022-09-01_final.stac-item
2022-09-01 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2022-09-01_final.stac-item
2022-09-01 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2022-09-01_final.stac-item
2022-09-03 10:14:07	ga_s2bm_ard_3-2-1_54JYS_2022-09-03_final.stac-item
2022-09-03 10:14:22	ga_s2bm_ard_3-2-1_54JYR_2022-09-03_final.stac-item
2022-09-03 10:14:38	ga_s2bm_ard_3-2-1_54JXQ_2022-09-03_final.stac-item
2022-09-03 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-09-03_final.stac-item
2022-09-03 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2022-09-03_final.stac-item
2022-09-03 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-03_final.stac-item
2022-09-04 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2022-09-04_final.stac-item
2022-09-04 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2022-09-04_final.stac-item
2022-09-04 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2022-09-04_final.stac-item
2022-09-07 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2022-09-07_final.stac-item
2022-09-07 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2022-09-07_final.stac-item
2022-09-07 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2022-09-07_final.stac-item
2022-09-07 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2022-09-07_final.stac-item
2022-09-07 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-09-07_final.stac-item
2022-09-07 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2022-09-07_final.stac-item
2022-09-08 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2022-09-08_final.stac-item
2022-09-08 11:00:39	ga_s2bm_ard_3-2-1_52LGN_2022-09-08_final.stac-item
2022-09-08 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2022-09-08_final.stac-item
2022-09-08 11:01:01	ga_s2bm_ard_3-2-1_52LHL_2022-09-08_final.stac-item
2022-09-10 10:04:13	ga_s2bm_ard_3-2-1_54JYS_2022-09-10_final.stac-item
2022-09-10 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2022-09-10_final.stac-item
2022-09-10 11:46:28	ga_s2bm_ard_3-2-1_50JML_2022-09-10_final.stac-item
2022-09-10 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2022-09-10_final.stac-item
2022-09-10 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2022-09-10_final.stac-item
2022-09-10 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2022-09-10_final.stac-item
2022-09-10 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2022-09-10_final.stac-item
2022-09-11 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2022-09-11_final.stac-item
2022-09-13 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2022-09-13_final.stac-item
2022-09-13 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2022-09-13_final.stac-item
2022-09-14 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2022-09-14_final.stac-item
2022-09-14 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2022-09-14_final.stac-item
2022-09-14 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2022-09-14_final.stac-item
2022-09-14 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2022-09-14_final.stac-item
2022-09-14 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2022-09-14_final.stac-item
2022-09-17 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2022-09-17_final.stac-item
2022-09-17 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2022-09-17_final.stac-item
2022-09-17 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-09-17_final.stac-item
2022-09-17 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-09-17_final.stac-item
2022-09-18 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2022-09-18_final.stac-item
2022-09-18 11:01:15	ga_s2bm_ard_3-2-1_52LHK_2022-09-18_final.stac-item
2022-09-18 11:01:19	ga_s2bm_ard_3-2-1_52LGK_2022-09-18_final.stac-item
2022-09-18 11:01:30	ga_s2bm_ard_3-2-1_52LHJ_2022-09-18_final.stac-item
2022-09-18 11:01:33	ga_s2bm_ard_3-2-1_52LGJ_2022-09-18_final.stac-item
2022-09-20 10:04:59	ga_s2bm_ard_3-2-1_54JXP_2022-09-20_final.stac-item
2022-09-20 10:05:10	ga_s2bm_ard_3-2-1_54JYN_2022-09-20_final.stac-item
2022-09-20 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2022-09-20_final.stac-item
2022-09-20 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-09-20_final.stac-item
2022-09-20 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-09-20_final.stac-item
2022-09-21 11:11:14	ga_s2bm_ard_3-2-1_52LGK_2022-09-21_final.stac-item
2022-09-21 11:16:13	ga_s2bm_ard_3-2-1_51JXF_2022-09-21_final.stac-item
2022-09-21 11:16:21	ga_s2bm_ard_3-2-1_51JWF_2022-09-21_final.stac-item
2022-09-21 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2022-09-21_final.stac-item
2022-09-21 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2022-09-21_final.stac-item
2022-09-23 10:14:44	ga_s2bm_ard_3-2-1_54JXQ_2022-09-23_final.stac-item
2022-09-23 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2022-09-23_final.stac-item
2022-09-23 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2022-09-23_final.stac-item
2022-09-23 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2022-09-23_final.stac-item
2022-09-23 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-23_final.stac-item
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final.stac-item
2022-09-24 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2022-09-24_final.stac-item
2022-09-24 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2022-09-24_final.stac-item
2022-09-25 10:51:26	ga_s2bm_ard_3-2-1_53LMD_2022-09-25_final.stac-item
2022-09-27 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-09-27_final.stac-item
2022-09-27 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-09-27_final.stac-item
2022-09-28 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2022-09-28_final.stac-item
2022-09-28 11:00:58	ga_s2bm_ard_3-2-1_53LKF_2022-09-28_final.stac-item
2022-09-30 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2022-09-30_final.stac-item
2022-09-30 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-09-30_final.stac-item
2022-09-30 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-09-30_final.stac-item
2022-09-30 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-09-30_final.stac-item
2022-11-18 10:30:40	ga_s2bm_ard_3-2-1_54LWL_2022-11-18_final.stac-item
2022-11-18 10:31:31	ga_s2bm_ard_3-2-1_54LUH_2022-11-18_final.stac-item
2022-11-18 10:32:18	ga_s2bm_ard_3-2-1_53KRV_2022-11-18_final.stac-item
2022-11-18 10:33:01	ga_s2bm_ard_3-2-1_54KTB_2022-11-18_final.stac-item
2022-11-18 10:33:12	ga_s2bm_ard_3-2-1_53KPS_2022-11-18_final.stac-item
2022-11-18 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2022-11-18_final.stac-item
2022-11-18 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2022-11-18_final.stac-item
2022-11-18 10:34:29	ga_s2bm_ard_3-2-1_54JTR_2022-11-18_final.stac-item
2022-11-18 10:34:39	ga_s2bm_ard_3-2-1_53JNL_2022-11-18_final.stac-item
2022-11-18 10:34:50	ga_s2bm_ard_3-2-1_53JPK_2022-11-18_final.stac-item
2022-11-18 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2022-11-18_final.stac-item
2022-11-18 10:35:05	ga_s2bm_ard_3-2-1_53JPJ_2022-11-18_final.stac-item
2022-11-18 10:35:08	ga_s2bm_ard_3-2-1_53JNJ_2022-11-18_final.stac-item
2022-11-18 10:35:14	ga_s2bm_ard_3-2-1_53JMJ_2022-11-18_final.stac-item
2022-11-18 10:35:15	ga_s2bm_ard_3-2-1_53JQH_2022-11-18_final.stac-item
2022-11-18 10:36:10	ga_s2bm_ard_3-2-1_53HME_2022-11-18_final.stac-item
2022-11-18 10:36:16	ga_s2bm_ard_3-2-1_53HLE_2022-11-18_final.stac-item
2022-11-18 10:36:17	ga_s2bm_ard_3-2-1_53HPD_2022-11-18_final.stac-item
2022-11-18 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2022-11-18_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-11-18_final.stac-item
2022-11-18 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2022-11-18_final.stac-item
2022-11-18 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2022-11-18_final.stac-item
2022-11-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-11-18_final.stac-item
2022-11-18 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-11-18_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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