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 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
2019-08-10 10:10:57	ga_s2bm_ard_3-2-1_55LCE_2019-08-10_final
2019-08-10 10:11:00	ga_s2bm_ard_3-2-1_55LBE_2019-08-10_final
2019-08-10 10:11:02	ga_s2bm_ard_3-2-1_54LZK_2019-08-10_final
2019-08-10 10:11:07	ga_s2bm_ard_3-2-1_54LYK_2019-08-10_final
2019-08-10 10:11:12	ga_s2bm_ard_3-2-1_55LCD_2019-08-10_final
2019-08-10 10:11:15	ga_s2bm_ard_3-2-1_55LBD_2019-08-10_final
2019-08-10 10:11:16	ga_s2bm_ard_3-2-1_54LZJ_2019-08-10_final
2019-08-10 10:11:20	ga_s2bm_ard_3-2-1_54LYJ_2019-08-10_final
2019-08-10 10:11:26	ga_s2bm_ard_3-2-1_55LCC_2019-08-10_final
2019-08-10 10:11:30	ga_s2bm_ard_3-2-1_55LBC_2019-08-10_final
2019-08-10 10:11:31	ga_s2bm_ard_3-2-1_54LZH_2019-08-10_final
2019-08-10 10:11:34	ga_s2bm_ard_3-2-1_54LYH_2019-08-10_final
2019-08-10 10:11:41	ga_s2bm_ard_3-2-1_55KCB_2019-08-10_final
2019-08-10 10:11:44	ga_s2bm_ard_3-2-1_55KBB_2019-08-10_final
2019-08-10 10:11:45	ga_s2bm_ard_3-2-1_54KZG_2019-08-10_final
2019-08-10 10:11:49	ga_s2bm_ard_3-2-1_54KYG_2019-08-10_final
2019-08-10 10:11:53	ga_s2bm_ard_3-2-1_55KCA_2019-08-10_final
2019-08-10 10:11:55	ga_s2bm_ard_3-2-1_55KBA_2019-08-10_final
2019-08-10 10:11:55	ga_s2bm_ard_3-2-1_54KZF_2019-08-10_final
2019-08-10 10:15:22	ga_s2bm_ard_3-2-1_54JVN_2019-08-10_final
2019-08-10 10:15:26	ga_s2bm_ard_3-2-1_54JUN_2019-08-10_final
2019-08-10 10:15:39	ga_s2bm_ard_3-2-1_54JUM_2019-08-10_final
2019-08-10 10:15:51	ga_s2bm_ard_3-2-1_54JVL_2019-08-10_final
2019-08-10 10:15:54	ga_s2bm_ard_3-2-1_54JUL_2019-08-10_final
2019-08-10 10:15:57	ga_s2bm_ard_3-2-1_54HXK_2019-08-10_final
2019-08-10 10:16:02	ga_s2bm_ard_3-2-1_54HWK_2019-08-10_final
2019-08-10 10:16:06	ga_s2bm_ard_3-2-1_54HVK_2019-08-10_final
2019-08-10 10:16:07	ga_s2bm_ard_3-2-1_54HXJ_2019-08-10_final
2019-08-10 10:16:09	ga_s2bm_ard_3-2-1_54HUK_2019-08-10_final
2019-08-10 10:16:16	ga_s2bm_ard_3-2-1_54HWJ_2019-08-10_final
2019-08-10 10:16:20	ga_s2bm_ard_3-2-1_54HVJ_2019-08-10_final
2019-08-10 10:16:23	ga_s2bm_ard_3-2-1_54HUJ_2019-08-10_final
2019-08-10 10:16:28	ga_s2bm_ard_3-2-1_54HTJ_2019-08-10_final
2019-08-10 10:16:31	ga_s2bm_ard_3-2-1_54HWH_2019-08-10_final
2019-08-10 10:16:35	ga_s2bm_ard_3-2-1_54HVH_2019-08-10_final
2019-08-10 10:16:38	ga_s2bm_ard_3-2-1_54HUH_2019-08-10_final
2019-08-10 10:16:41	ga_s2bm_ard_3-2-1_54HTH_2019-08-10_final
2019-08-10 10:16:46	ga_s2bm_ard_3-2-1_54HWG_2019-08-10_final
2019-08-10 10:16:49	ga_s2bm_ard_3-2-1_54HVG_2019-08-10_final
2019-08-10 10:16:53	ga_s2bm_ard_3-2-1_54HUG_2019-08-10_final
2019-08-10 10:16:56	ga_s2bm_ard_3-2-1_54HTG_2019-08-10_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_53HQB_2019-08-10_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_54HWF_2019-08-10_final
2019-08-10 10:17:07	ga_s2bm_ard_3-2-1_54HUF_2019-08-10_final
2019-08-10 10:17:10	ga_s2bm_ard_3-2-1_54HTF_2019-08-10_final
2019-08-10 10:17:12	ga_s2bm_ard_3-2-1_53HQA_2019-08-10_final
2019-08-10 10:17:18	ga_s2bm_ard_3-2-1_54HVE_2019-08-10_final
2019-08-10 10:17:33	ga_s2bm_ard_3-2-1_54HVD_2019-08-10_final
2019-08-10 11:51:20	ga_s2bm_ard_3-2-1_51LUF_2019-08-10_final
2019-08-10 11:51:34	ga_s2bm_ard_3-2-1_51LUE_2019-08-10_final
2019-08-10 11:53:01	ga_s2bm_ard_3-2-1_51KTU_2019-08-10_final
2019-08-10 11:53:06	ga_s2bm_ard_3-2-1_50KRD_2019-08-10_final
2019-08-10 11:53:10	ga_s2bm_ard_3-2-1_50KQD_2019-08-10_final
2019-08-10 11:53:13	ga_s2bm_ard_3-2-1_50KPD_2019-08-10_final
2019-08-10 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-08-10_final
2019-08-10 11:53:24	ga_s2bm_ard_3-2-1_50KQC_2019-08-10_final
2019-08-10 11:53:28	ga_s2bm_ard_3-2-1_50KPC_2019-08-10_final
2019-08-10 11:53:31	ga_s2bm_ard_3-2-1_50KNC_2019-08-10_final
2019-08-10 11:53:38	ga_s2bm_ard_3-2-1_50KMC_2019-08-10_final
2019-08-10 11:53:39	ga_s2bm_ard_3-2-1_50KQB_2019-08-10_final
2019-08-10 11:53:43	ga_s2bm_ard_3-2-1_50KPB_2019-08-10_final
2019-08-10 11:53:46	ga_s2bm_ard_3-2-1_50KNB_2019-08-10_final
2019-08-10 11:53:49	ga_s2bm_ard_3-2-1_50KMB_2019-08-10_final
2019-08-10 11:53:53	ga_s2bm_ard_3-2-1_50KQA_2019-08-10_final
2019-08-10 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2019-08-10_final
2019-08-10 11:54:00	ga_s2bm_ard_3-2-1_50KNA_2019-08-10_final
2019-08-10 11:54:03	ga_s2bm_ard_3-2-1_50KMA_2019-08-10_final
2019-08-10 11:54:08	ga_s2bm_ard_3-2-1_50KQV_2019-08-10_final
2019-08-10 11:54:11	ga_s2bm_ard_3-2-1_50KPV_2019-08-10_final
2019-08-10 11:54:15	ga_s2bm_ard_3-2-1_50KNV_2019-08-10_final
2019-08-10 11:54:18	ga_s2bm_ard_3-2-1_50KMV_2019-08-10_final
2019-08-10 11:54:20	ga_s2bm_ard_3-2-1_50KQU_2019-08-10_final
2019-08-10 11:54:26	ga_s2bm_ard_3-2-1_50KPU_2019-08-10_final
2019-08-10 11:54:29	ga_s2bm_ard_3-2-1_50KNU_2019-08-10_final
2019-08-10 11:54:30	ga_s2bm_ard_3-2-1_50JQT_2019-08-10_final
2019-08-10 11:54:33	ga_s2bm_ard_3-2-1_50KMU_2019-08-10_final
2019-08-10 11:54:40	ga_s2bm_ard_3-2-1_50JPT_2019-08-10_final
2019-08-10 11:54:40	ga_s2bm_ard_3-2-1_50KLU_2019-08-10_final
2019-08-10 11:54:44	ga_s2bm_ard_3-2-1_50JNT_2019-08-10_final
2019-08-10 11:54:47	ga_s2bm_ard_3-2-1_50JMT_2019-08-10_final
2019-08-10 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-08-10_final
2019-08-10 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2019-08-10_final
2019-08-10 11:54:58	ga_s2bm_ard_3-2-1_50JNS_2019-08-10_final
2019-08-10 11:55:02	ga_s2bm_ard_3-2-1_50JMS_2019-08-10_final
2019-08-10 11:55:05	ga_s2bm_ard_3-2-1_50JLS_2019-08-10_final
2019-08-10 11:55:09	ga_s2bm_ard_3-2-1_50JPR_2019-08-10_final
2019-08-10 11:55:13	ga_s2bm_ard_3-2-1_50JNR_2019-08-10_final
2019-08-10 11:55:17	ga_s2bm_ard_3-2-1_50JMR_2019-08-10_final
2019-08-10 11:55:20	ga_s2bm_ard_3-2-1_50JLR_2019-08-10_final
2019-08-10 11:55:23	ga_s2bm_ard_3-2-1_50JPQ_2019-08-10_final
2019-08-10 11:55:27	ga_s2bm_ard_3-2-1_50JNQ_2019-08-10_final
2019-08-10 11:55:31	ga_s2bm_ard_3-2-1_50JMQ_2019-08-10_final
2019-08-10 11:55:33	ga_s2bm_ard_3-2-1_50JPP_2019-08-10_final
2019-08-10 11:55:34	ga_s2bm_ard_3-2-1_50JLQ_2019-08-10_final
2019-08-10 11:55:42	ga_s2bm_ard_3-2-1_50JNP_2019-08-10_final
2019-08-10 11:55:46	ga_s2bm_ard_3-2-1_50JMP_2019-08-10_final
2019-08-10 11:55:49	ga_s2bm_ard_3-2-1_50JLP_2019-08-10_final
2019-08-10 11:55:53	ga_s2bm_ard_3-2-1_50JKP_2019-08-10_final
2019-08-10 11:55:56	ga_s2bm_ard_3-2-1_50JNN_2019-08-10_final
2019-08-10 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-08-10_final

Return to ga_s2bm_ard_3 whole collection 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

All years