Search ga_s2bm_ard_3 across October 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
2021-10-08 10:16:57	ga_s2bm_ard_3-2-1_54HVF_2021-10-08_final
2021-10-08 10:17:01	ga_s2bm_ard_3-2-1_54HUF_2021-10-08_final
2021-10-08 10:17:04	ga_s2bm_ard_3-2-1_54HWE_2021-10-08_final
2021-10-08 10:17:04	ga_s2bm_ard_3-2-1_54HTF_2021-10-08_final
2021-10-08 10:17:05	ga_s2bm_ard_3-2-1_53HQA_2021-10-08_final
2021-10-08 10:17:12	ga_s2bm_ard_3-2-1_54HVE_2021-10-08_final
2021-10-08 10:17:15	ga_s2bm_ard_3-2-1_54HUE_2021-10-08_final
2021-10-08 10:17:26	ga_s2bm_ard_3-2-1_54HVD_2021-10-08_final
2021-10-08 10:17:30	ga_s2bm_ard_3-2-1_54HUD_2021-10-08_final
2021-10-08 10:17:38	ga_s2bm_ard_3-2-1_54HVC_2021-10-08_final
2021-10-08 11:51:14	ga_s2bm_ard_3-2-1_51LUF_2021-10-08_final
2021-10-08 11:51:27	ga_s2bm_ard_3-2-1_51LUE_2021-10-08_final
2021-10-08 11:52:54	ga_s2bm_ard_3-2-1_51KTU_2021-10-08_final
2021-10-08 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2021-10-08_final
2021-10-08 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-10-08_final
2021-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-10-08_final
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final
2021-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-08_final
2021-10-08 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2021-10-08_final
2021-10-08 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2021-10-08_final
2021-10-08 11:53:32	ga_s2bm_ard_3-2-1_50KQB_2021-10-08_final
2021-10-08 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2021-10-08_final
2021-10-08 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2021-10-08_final
2021-10-08 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2021-10-08_final
2021-10-08 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2021-10-08_final
2021-10-08 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2021-10-08_final
2021-10-08 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-10-08_final
2021-10-08 11:53:53	ga_s2bm_ard_3-2-1_50KMA_2021-10-08_final
2021-10-08 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-10-08_final
2021-10-08 11:53:56	ga_s2bm_ard_3-2-1_50KQA_2021-10-08_final
2021-10-08 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2021-10-08_final
2021-10-08 11:53:57	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-10-08 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-10-08_final
2021-10-08 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2021-10-08_final
2021-10-08 11:53:59	ga_s2bm_ard_3-2-1_50KMA_2021-10-08_final
2021-10-08 11:53:59	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-10-08 11:54:00	ga_s2bm_ard_3-2-1_50KPA_2021-10-08_final
2021-10-08 11:54:01	ga_s2bm_ard_3-2-1_50KNA_2021-10-08_final
2021-10-08 11:54:01	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-08 11:54:02	ga_s2bm_ard_3-2-1_50KMA_2021-10-08_final
2021-10-08 11:54:04	ga_s2bm_ard_3-2-1_50KQV_2021-10-08_final
2021-10-08 11:54:06	ga_s2bm_ard_3-2-1_50KPV_2021-10-08_final
2021-10-08 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-08 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2021-10-08_final
2021-10-08 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2021-10-08_final
2021-10-08 11:54:19	ga_s2bm_ard_3-2-1_50KPU_2021-10-08_final
2021-10-08 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2021-10-08_final
2021-10-08 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-10-08_final
2021-10-08 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2021-10-08_final
2021-10-08 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2021-10-08_final
2021-10-08 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2021-10-08_final
2021-10-08 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-10-08_final
2021-10-12 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2021-10-12_final
2021-10-12 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2021-10-12_final
2021-10-12 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2021-10-12_final
2021-10-12 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2021-10-12_final
2021-10-12 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2021-10-12_final
2021-10-12 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2021-10-12_final
2021-10-12 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2021-10-12_final
2021-10-12 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2021-10-12_final
2021-10-12 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2021-10-12_final
2021-10-12 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2021-10-12_final
2021-10-12 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2021-10-12_final
2021-10-12 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-10-12_final
2021-10-12 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2021-10-12_final
2021-10-12 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2021-10-12_final
2021-10-12 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2021-10-12_final
2021-10-12 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-10-12_final
2021-10-12 11:32:38	ga_s2bm_ard_3-2-1_51KYV_2021-10-12_final
2021-10-12 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2021-10-12_final
2021-10-12 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2021-10-12_final
2021-10-12 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-10-12_final
2021-10-12 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2021-10-12_final
2021-10-12 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-10-12_final
2021-10-12 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-10-12_final
2021-10-12 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-10-12_final
2021-10-12 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-10-12_final
2021-10-12 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2021-10-12_final
2021-10-12 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-10-12_final
2021-10-12 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-10-12_final
2021-10-12 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-12_final
2021-10-12 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-10-12_final
2021-10-12 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-10-12_final
2021-10-12 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-10-12_final
2021-10-12 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-10-12_final
2021-10-12 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-10-12_final
2021-10-12 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-10-12_final
2021-10-12 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-10-12_final
2021-10-12 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-10-12_final
2021-10-12 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-10-12_final
2021-10-12 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-10-12_final
2021-10-12 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-10-12_final
2021-10-12 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-10-12_final
2021-10-12 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-10-12_final
2021-10-12 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-10-12_final
2021-10-12 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2021-10-12_final
2021-10-12 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2021-10-12_final
2021-10-12 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2021-10-12_final
2021-10-12 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2021-10-12_final
2021-10-12 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2021-10-12_final

Return to ga_s2bm_ard_3 across October 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

October

All days