Search ga_s2bm_ard_3 across 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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2022-01-05 10:42:06	ga_s2bm_ard_3-2-1_53KNA_2022-01-05_final
2022-01-05 10:44:53	ga_s2bm_ard_3-2-1_53JLK_2022-01-05_final
2022-01-05 10:45:04	ga_s2bm_ard_3-2-1_53JMJ_2022-01-05_final
2022-01-06 10:17:25	ga_s2bm_ard_3-2-1_54HUD_2022-01-06_final
2022-01-06 10:17:33	ga_s2bm_ard_3-2-1_54HVC_2022-01-06_final
2022-01-06 11:51:09	ga_s2bm_ard_3-2-1_51LUF_2022-01-06_final
2022-01-06 11:51:23	ga_s2bm_ard_3-2-1_51LUE_2022-01-06_final
2022-01-06 11:51:34	ga_s2bm_ard_3-2-1_51LUD_2022-01-06_final
2022-01-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final
2022-01-06 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final
2022-01-06 11:52:24	ga_s2bm_ard_3-2-1_50KQF_2022-01-06_final
2022-01-06 11:52:26	ga_s2bm_ard_3-2-1_50KPF_2022-01-06_final
2022-01-06 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-01-06_final
2022-01-06 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2022-01-06_final
2022-01-06 11:52:45	ga_s2bm_ard_3-2-1_50KQE_2022-01-06_final
2022-01-06 11:52:50	ga_s2bm_ard_3-2-1_51KTU_2022-01-06_final
2022-01-06 11:52:53	ga_s2bm_ard_3-2-1_50KRD_2022-01-06_final
2022-01-06 11:52:55	ga_s2bm_ard_3-2-1_50KQD_2022-01-06_final
2022-01-06 11:52:55	ga_s2bm_ard_3-2-1_51KTU_2022-01-06_final
2022-01-06 11:52:57	ga_s2bm_ard_3-2-1_50KPD_2022-01-06_final
2022-01-06 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-06_final
2022-01-06 11:53:01	ga_s2bm_ard_3-2-1_50KQD_2022-01-06_final
2022-01-06 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2022-01-06_final
2022-01-06 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-01-06_final
2022-01-06 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-01-06_final
2022-01-06 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-06_final
2022-01-06 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2022-01-06_final
2022-01-06 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2022-01-06_final
2022-01-06 11:53:28	ga_s2bm_ard_3-2-1_50KQB_2022-01-06_final
2022-01-06 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2022-01-06_final
2022-01-06 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2022-01-06_final
2022-01-06 11:53:39	ga_s2bm_ard_3-2-1_50KMB_2022-01-06_final
2022-01-06 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2022-01-06_final
2022-01-06 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2022-01-06_final
2022-01-06 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2022-01-06_final
2022-01-06 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2022-01-06_final
2022-01-06 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2022-01-06_final
2022-01-06 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2022-01-06_final
2022-01-06 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2022-01-06_final
2022-01-06 11:54:07	ga_s2bm_ard_3-2-1_50KMV_2022-01-06_final
2022-01-06 11:54:09	ga_s2bm_ard_3-2-1_50KQU_2022-01-06_final
2022-01-06 11:54:15	ga_s2bm_ard_3-2-1_50KPU_2022-01-06_final
2022-01-06 11:54:19	ga_s2bm_ard_3-2-1_50KNU_2022-01-06_final
2022-01-06 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2022-01-06_final
2022-01-06 11:54:22	ga_s2bm_ard_3-2-1_50KMU_2022-01-06_final
2022-01-06 11:54:29	ga_s2bm_ard_3-2-1_50JPT_2022-01-06_final
2022-01-06 11:54:29	ga_s2bm_ard_3-2-1_50KLU_2022-01-06_final
2022-01-06 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2022-01-06_final
2022-01-06 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2022-01-06_final
2022-01-06 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2022-01-06_final
2022-01-06 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2022-01-06_final
2022-01-06 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2022-01-06_final
2022-01-12 10:35:18	ga_s2bm_ard_3-2-1_53JNH_2022-01-12_final
2022-01-12 10:35:20	ga_s2bm_ard_3-2-1_53JMH_2022-01-12_final
2022-01-12 10:35:22	ga_s2bm_ard_3-2-1_53JQG_2022-01-12_final
2022-01-12 10:35:23	ga_s2bm_ard_3-2-1_53JPH_2022-01-12_final
2022-01-12 10:35:23	ga_s2bm_ard_3-2-1_53JPG_2022-01-12_final
2022-01-12 10:35:24	ga_s2bm_ard_3-2-1_53JNG_2022-01-12_final
2022-01-12 10:35:25	ga_s2bm_ard_3-2-1_53JNH_2022-01-12_final
2022-01-12 10:35:26	ga_s2bm_ard_3-2-1_53JMH_2022-01-12_final
2022-01-12 10:35:28	ga_s2bm_ard_3-2-1_53JQG_2022-01-12_final
2022-01-12 10:35:30	ga_s2bm_ard_3-2-1_53JPG_2022-01-12_final
2022-01-12 10:35:34	ga_s2bm_ard_3-2-1_53JNG_2022-01-12_final
2022-01-12 10:35:37	ga_s2bm_ard_3-2-1_53JMG_2022-01-12_final
2022-01-12 10:35:40	ga_s2bm_ard_3-2-1_53JQF_2022-01-12_final
2022-01-12 10:35:44	ga_s2bm_ard_3-2-1_53JPF_2022-01-12_final
2022-01-12 10:35:48	ga_s2bm_ard_3-2-1_53JNF_2022-01-12_final
2022-01-12 10:35:52	ga_s2bm_ard_3-2-1_53JMF_2022-01-12_final
2022-01-12 10:35:52	ga_s2bm_ard_3-2-1_53HQE_2022-01-12_final
2022-01-12 10:35:59	ga_s2bm_ard_3-2-1_53HPE_2022-01-12_final
2022-01-12 10:36:03	ga_s2bm_ard_3-2-1_53HNE_2022-01-12_final
2022-01-12 10:36:06	ga_s2bm_ard_3-2-1_53HME_2022-01-12_final
2022-01-12 10:36:12	ga_s2bm_ard_3-2-1_53HLE_2022-01-12_final
2022-01-12 10:36:13	ga_s2bm_ard_3-2-1_53HPD_2022-01-12_final
2022-01-12 10:36:17	ga_s2bm_ard_3-2-1_53HND_2022-01-12_final
2022-01-12 10:36:21	ga_s2bm_ard_3-2-1_53HMD_2022-01-12_final
2022-01-12 10:36:24	ga_s2bm_ard_3-2-1_53HLD_2022-01-12_final
2022-01-12 10:36:28	ga_s2bm_ard_3-2-1_53HPC_2022-01-12_final
2022-01-12 10:36:32	ga_s2bm_ard_3-2-1_53HNC_2022-01-12_final
2022-01-12 10:36:35	ga_s2bm_ard_3-2-1_53HMC_2022-01-12_final
2022-01-12 10:36:42	ga_s2bm_ard_3-2-1_53HPB_2022-01-12_final
2022-01-12 10:36:46	ga_s2bm_ard_3-2-1_53HNB_2022-01-12_final
2022-01-12 10:36:48	ga_s2bm_ard_3-2-1_53HMB_2022-01-12_final
2022-01-12 10:36:52	ga_s2bm_ard_3-2-1_53HPA_2022-01-12_final
2022-01-12 10:36:53	ga_s2bm_ard_3-2-1_53HNB_2022-01-12_final
2022-01-12 10:36:55	ga_s2bm_ard_3-2-1_53HMB_2022-01-12_final
2022-01-12 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2022-01-12_final
2022-01-12 10:37:04	ga_s2bm_ard_3-2-1_53HPV_2022-01-12_final
2022-01-12 12:13:35	ga_s2bm_ard_3-2-1_50KKB_2022-01-12_final
2022-01-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2022-01-12_final
2022-01-12 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2022-01-12_final
2022-01-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2022-01-12_final
2022-01-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-12_final
2022-01-12 12:14:03	ga_s2bm_ard_3-2-1_50KKV_2022-01-12_final
2022-01-12 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-01-12_final
2022-01-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-01-12_final
2022-01-12 12:14:15	ga_s2bm_ard_3-2-1_50KKU_2022-01-12_final
2022-01-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-01-12_final
2022-01-12 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-01-12_final
2022-01-12 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2022-01-12_final

Return to ga_s2bm_ard_3 across 2022 overview

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

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2022

All months