Search ga_s2bm_ard_3 on 10th June 2021

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
2021-06-10 10:09:59	ga_s2bm_ard_3-2-1_54LZP_2021-06-10_final
2021-06-10 10:10:12	ga_s2bm_ard_3-2-1_54LZN_2021-06-10_final
2021-06-10 10:10:27	ga_s2bm_ard_3-2-1_54LZM_2021-06-10_final
2021-06-10 10:10:41	ga_s2bm_ard_3-2-1_54LZL_2021-06-10_final
2021-06-10 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-06-10_final
2021-06-10 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2021-06-10_final
2021-06-10 10:11:10	ga_s2bm_ard_3-2-1_54LZJ_2021-06-10_final
2021-06-10 10:11:14	ga_s2bm_ard_3-2-1_54LYJ_2021-06-10_final
2021-06-10 10:11:25	ga_s2bm_ard_3-2-1_54LZH_2021-06-10_final
2021-06-10 10:11:28	ga_s2bm_ard_3-2-1_54LYH_2021-06-10_final
2021-06-10 10:11:39	ga_s2bm_ard_3-2-1_54KZG_2021-06-10_final
2021-06-10 10:11:43	ga_s2bm_ard_3-2-1_54KYG_2021-06-10_final
2021-06-10 10:11:49	ga_s2bm_ard_3-2-1_55KCA_2021-06-10_final
2021-06-10 10:11:53	ga_s2bm_ard_3-2-1_55KBA_2021-06-10_final
2021-06-10 10:11:54	ga_s2bm_ard_3-2-1_54KZF_2021-06-10_final
2021-06-10 10:11:57	ga_s2bm_ard_3-2-1_54KYF_2021-06-10_final
2021-06-10 10:12:03	ga_s2bm_ard_3-2-1_54KXF_2021-06-10_final
2021-06-10 10:12:08	ga_s2bm_ard_3-2-1_54KZE_2021-06-10_final
2021-06-10 10:12:12	ga_s2bm_ard_3-2-1_54KYE_2021-06-10_final
2021-06-10 10:12:15	ga_s2bm_ard_3-2-1_54KXE_2021-06-10_final
2021-06-10 10:12:23	ga_s2bm_ard_3-2-1_54KZD_2021-06-10_final
2021-06-10 10:12:26	ga_s2bm_ard_3-2-1_54KYD_2021-06-10_final
2021-06-10 10:12:29	ga_s2bm_ard_3-2-1_54KXD_2021-06-10_final
2021-06-10 10:12:36	ga_s2bm_ard_3-2-1_55KBT_2021-06-10_final
2021-06-10 10:12:37	ga_s2bm_ard_3-2-1_54KZC_2021-06-10_final
2021-06-10 10:12:41	ga_s2bm_ard_3-2-1_54KYC_2021-06-10_final
2021-06-10 10:12:44	ga_s2bm_ard_3-2-1_54KXC_2021-06-10_final
2021-06-10 10:16:29	ga_s2bm_ard_3-2-1_54HVH_2021-06-10_final
2021-06-10 10:16:32	ga_s2bm_ard_3-2-1_54HUH_2021-06-10_final
2021-06-10 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2021-06-10_final
2021-06-10 10:16:40	ga_s2bm_ard_3-2-1_54HWG_2021-06-10_final
2021-06-10 10:16:43	ga_s2bm_ard_3-2-1_54HVG_2021-06-10_final
2021-06-10 10:16:47	ga_s2bm_ard_3-2-1_54HUG_2021-06-10_final
2021-06-10 10:16:50	ga_s2bm_ard_3-2-1_54HTG_2021-06-10_final
2021-06-10 10:16:53	ga_s2bm_ard_3-2-1_53HQB_2021-06-10_final
2021-06-10 10:16:53	ga_s2bm_ard_3-2-1_54HWF_2021-06-10_final
2021-06-10 10:16:58	ga_s2bm_ard_3-2-1_54HVF_2021-06-10_final
2021-06-10 10:17:01	ga_s2bm_ard_3-2-1_54HUF_2021-06-10_final
2021-06-10 10:17:04	ga_s2bm_ard_3-2-1_54HWE_2021-06-10_final
2021-06-10 10:17:04	ga_s2bm_ard_3-2-1_54HTF_2021-06-10_final
2021-06-10 10:17:06	ga_s2bm_ard_3-2-1_53HQA_2021-06-10_final
2021-06-10 10:17:12	ga_s2bm_ard_3-2-1_54HVE_2021-06-10_final
2021-06-10 10:17:16	ga_s2bm_ard_3-2-1_54HUE_2021-06-10_final
2021-06-10 10:17:19	ga_s2bm_ard_3-2-1_54HTE_2021-06-10_final
2021-06-10 10:17:20	ga_s2bm_ard_3-2-1_53HQV_2021-06-10_final
2021-06-10 10:17:27	ga_s2bm_ard_3-2-1_54HVD_2021-06-10_final
2021-06-10 10:17:30	ga_s2bm_ard_3-2-1_54HUD_2021-06-10_final
2021-06-10 10:17:38	ga_s2bm_ard_3-2-1_54HVC_2021-06-10_final
2021-06-10 11:51:14	ga_s2bm_ard_3-2-1_51LUF_2021-06-10_final
2021-06-10 11:51:28	ga_s2bm_ard_3-2-1_51LUE_2021-06-10_final
2021-06-10 11:51:39	ga_s2bm_ard_3-2-1_51LUD_2021-06-10_final
2021-06-10 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-06-10_final
2021-06-10 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-06-10_final
2021-06-10 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2021-06-10_final
2021-06-10 11:52:50	ga_s2bm_ard_3-2-1_50KQE_2021-06-10_final
2021-06-10 11:52:55	ga_s2bm_ard_3-2-1_51KTU_2021-06-10_final
2021-06-10 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2021-06-10_final
2021-06-10 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-06-10_final
2021-06-10 11:53:08	ga_s2bm_ard_3-2-1_50KPD_2021-06-10_final
2021-06-10 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-06-10_final
2021-06-10 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-06-10_final
2021-06-10 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-06-10_final
2021-06-10 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2021-06-10_final
2021-06-10 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2021-06-10_final
2021-06-10 11:53:33	ga_s2bm_ard_3-2-1_50KQB_2021-06-10_final
2021-06-10 11:53:37	ga_s2bm_ard_3-2-1_50KPB_2021-06-10_final
2021-06-10 11:53:40	ga_s2bm_ard_3-2-1_50KNB_2021-06-10_final
2021-06-10 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2021-06-10_final
2021-06-10 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2021-06-10_final
2021-06-10 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2021-06-10_final
2021-06-10 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-06-10_final
2021-06-10 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2021-06-10_final
2021-06-10 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-06-10_final
2021-06-10 11:53:56	ga_s2bm_ard_3-2-1_50KQA_2021-06-10_final
2021-06-10 11:53:57	ga_s2bm_ard_3-2-1_50KPV_2021-06-10_final
2021-06-10 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2021-06-10_final
2021-06-10 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-06-10_final
2021-06-10 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2021-06-10_final
2021-06-10 11:53:58	ga_s2bm_ard_3-2-1_50KMA_2021-06-10_final
2021-06-10 11:53:59	ga_s2bm_ard_3-2-1_50KPV_2021-06-10_final
2021-06-10 11:54:00	ga_s2bm_ard_3-2-1_50KPA_2021-06-10_final
2021-06-10 11:54:01	ga_s2bm_ard_3-2-1_50KNA_2021-06-10_final
2021-06-10 11:54:01	ga_s2bm_ard_3-2-1_50KNV_2021-06-10_final
2021-06-10 11:54:02	ga_s2bm_ard_3-2-1_50KMA_2021-06-10_final
2021-06-10 11:54:04	ga_s2bm_ard_3-2-1_50KQV_2021-06-10_final
2021-06-10 11:54:06	ga_s2bm_ard_3-2-1_50KPV_2021-06-10_final
2021-06-10 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2021-06-10_final
2021-06-10 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2021-06-10_final
2021-06-10 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2021-06-10_final
2021-06-10 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2021-06-10_final
2021-06-10 11:54:24	ga_s2bm_ard_3-2-1_50KNU_2021-06-10_final
2021-06-10 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-10_final
2021-06-10 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2021-06-10_final
2021-06-10 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2021-06-10_final
2021-06-10 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2021-06-10_final
2021-06-10 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-06-10_final
2021-06-10 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2021-06-10_final
2021-06-10 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2021-06-10_final
2021-06-10 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2021-06-10_final
2021-06-10 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2021-06-10_final

Return to ga_s2bm_ard_3 on 10th June 2021 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

2021

June

10th