Search ga_s2bm_ard_3 across February 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
2022-02-02 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2022-02-02_final
2022-02-02 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-02_final
2022-02-05 11:54:13	ga_s2bm_ard_3-2-1_50KPU_2022-02-05_final
2022-02-05 11:54:17	ga_s2bm_ard_3-2-1_50KNU_2022-02-05_final
2022-02-05 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2022-02-05_final
2022-02-05 11:54:20	ga_s2bm_ard_3-2-1_50KMU_2022-02-05_final
2022-02-05 11:54:28	ga_s2bm_ard_3-2-1_50JPT_2022-02-05_final
2022-02-05 11:54:28	ga_s2bm_ard_3-2-1_50KLU_2022-02-05_final
2022-02-05 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2022-02-05_final
2022-02-05 11:54:35	ga_s2bm_ard_3-2-1_50JMT_2022-02-05_final
2022-02-05 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2022-02-05_final
2022-02-05 11:54:42	ga_s2bm_ard_3-2-1_50JPS_2022-02-05_final
2022-02-05 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2022-02-05_final
2022-02-05 11:54:49	ga_s2bm_ard_3-2-1_50JMS_2022-02-05_final
2022-02-05 11:54:52	ga_s2bm_ard_3-2-1_50JLS_2022-02-05_final
2022-02-05 11:54:57	ga_s2bm_ard_3-2-1_50JPR_2022-02-05_final
2022-02-05 11:55:00	ga_s2bm_ard_3-2-1_50JNR_2022-02-05_final
2022-02-05 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2022-02-05_final
2022-02-05 11:55:07	ga_s2bm_ard_3-2-1_50JLR_2022-02-05_final
2022-02-05 11:55:10	ga_s2bm_ard_3-2-1_50JPQ_2022-02-05_final
2022-02-05 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2022-02-05_final
2022-02-05 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2022-02-05_final
2022-02-05 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2022-02-05_final
2022-02-05 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2022-02-05_final
2022-02-05 11:55:29	ga_s2bm_ard_3-2-1_50JNP_2022-02-05_final
2022-02-05 11:55:33	ga_s2bm_ard_3-2-1_50JMP_2022-02-05_final
2022-02-05 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2022-02-05_final
2022-02-05 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2022-02-05_final
2022-02-05 11:55:41	ga_s2bm_ard_3-2-1_50JNN_2022-02-05_final
2022-02-05 11:55:43	ga_s2bm_ard_3-2-1_50JMN_2022-02-05_final
2022-02-05 11:55:45	ga_s2bm_ard_3-2-1_50JLN_2022-02-05_final
2022-02-05 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-02-05_final
2022-02-05 11:55:47	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final
2022-02-05 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2022-02-05_final
2022-02-05 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2022-02-05_final
2022-02-05 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-02-05_final
2022-02-05 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final
2022-02-05 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2022-02-05_final
2022-02-05 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2022-02-05_final
2022-02-05 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-02-05_final
2022-02-05 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2022-02-05_final
2022-02-05 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-02-05_final
2022-02-05 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-02-05_final
2022-02-05 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2022-02-05_final
2022-02-05 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-02-05_final
2022-02-05 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2022-02-05_final
2022-02-05 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-05_final
2022-02-05 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2022-02-05_final
2022-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-02-05_final
2022-02-05 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2022-02-05_final
2022-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2022-02-05_final
2022-02-12 11:44:10	ga_s2bm_ard_3-2-1_50KRU_2022-02-12_final
2022-02-12 11:44:10	ga_s2bm_ard_3-2-1_51KTP_2022-02-12_final
2022-02-12 11:44:14	ga_s2bm_ard_3-2-1_50KQU_2022-02-12_final
2022-02-12 11:44:17	ga_s2bm_ard_3-2-1_50KPU_2022-02-12_final
2022-02-12 11:44:21	ga_s2bm_ard_3-2-1_51JUN_2022-02-12_final
2022-02-12 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-02-12_final
2022-02-12 11:44:25	ga_s2bm_ard_3-2-1_51JTN_2022-02-12_final
2022-02-12 11:44:28	ga_s2bm_ard_3-2-1_50JQT_2022-02-12_final
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final
2022-02-12 11:44:35	ga_s2bm_ard_3-2-1_51JUM_2022-02-12_final
2022-02-12 11:44:39	ga_s2bm_ard_3-2-1_50JRS_2022-02-12_final
2022-02-12 11:44:39	ga_s2bm_ard_3-2-1_51JTM_2022-02-12_final
2022-02-12 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2022-02-12_final
2022-02-12 11:44:45	ga_s2bm_ard_3-2-1_51JUL_2022-02-12_final
2022-02-12 11:44:46	ga_s2bm_ard_3-2-1_50JPS_2022-02-12_final
2022-02-12 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2022-02-12_final
2022-02-12 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2022-02-12_final
2022-02-12 11:45:01	ga_s2bm_ard_3-2-1_50JPR_2022-02-12_final
2022-02-12 11:45:05	ga_s2bm_ard_3-2-1_50JNR_2022-02-12_final
2022-02-12 11:45:08	ga_s2bm_ard_3-2-1_51JTK_2022-02-12_final
2022-02-12 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2022-02-12_final
2022-02-12 11:45:15	ga_s2bm_ard_3-2-1_50JPQ_2022-02-12_final
2022-02-12 11:45:19	ga_s2bm_ard_3-2-1_50JNQ_2022-02-12_final
2022-02-12 11:45:23	ga_s2bm_ard_3-2-1_51JTJ_2022-02-12_final
2022-02-12 11:45:26	ga_s2bm_ard_3-2-1_50JQP_2022-02-12_final
2022-02-12 11:45:30	ga_s2bm_ard_3-2-1_50JPP_2022-02-12_final
2022-02-12 11:45:33	ga_s2bm_ard_3-2-1_50JNP_2022-02-12_final
2022-02-12 11:45:38	ga_s2bm_ard_3-2-1_51JTH_2022-02-12_final
2022-02-12 11:45:40	ga_s2bm_ard_3-2-1_50JQN_2022-02-12_final
2022-02-12 11:45:44	ga_s2bm_ard_3-2-1_50JPN_2022-02-12_final
2022-02-12 11:45:48	ga_s2bm_ard_3-2-1_50JNN_2022-02-12_final
2022-02-12 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2022-02-12_final
2022-02-12 11:45:55	ga_s2bm_ard_3-2-1_50JQM_2022-02-12_final
2022-02-12 11:45:59	ga_s2bm_ard_3-2-1_50JPM_2022-02-12_final
2022-02-12 11:46:02	ga_s2bm_ard_3-2-1_51JTF_2022-02-12_final
2022-02-12 11:46:02	ga_s2bm_ard_3-2-1_50JNM_2022-02-12_final
2022-02-12 11:46:07	ga_s2bm_ard_3-2-1_50JMM_2022-02-12_final
2022-02-12 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2022-02-12_final
2022-02-12 11:46:13	ga_s2bm_ard_3-2-1_50JPL_2022-02-12_final
2022-02-12 11:46:17	ga_s2bm_ard_3-2-1_50JNL_2022-02-12_final
2022-02-12 11:46:20	ga_s2bm_ard_3-2-1_50JML_2022-02-12_final
2022-02-12 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2022-02-12_final
2022-02-12 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-02-12_final
2022-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HNK_2022-02-12_final
2022-02-12 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-12_final
2022-02-12 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2022-02-12_final
2022-02-12 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-12_final
2022-02-12 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-02-12_final
2022-02-12 11:46:47	ga_s2bm_ard_3-2-1_50HQH_2022-02-12_final

Return to ga_s2bm_ard_3 across February 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

February

All days