Search ga_s2bm_ard_3 across September 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
2022-09-04 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2022-09-04_final
2022-09-04 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2022-09-04_final
2022-09-04 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2022-09-04_final
2022-09-04 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2022-09-04_final
2022-09-04 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2022-09-04_final
2022-09-04 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2022-09-04_final
2022-09-04 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2022-09-04_final
2022-09-04 11:24:28	ga_s2bm_ard_3-2-1_51JXN_2022-09-04_final
2022-09-04 11:24:34	ga_s2bm_ard_3-2-1_51JZM_2022-09-04_final
2022-09-04 11:24:34	ga_s2bm_ard_3-2-1_52JBS_2022-09-04_final
2022-09-04 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2022-09-04_final
2022-09-04 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2022-09-04_final
2022-09-04 11:24:45	ga_s2bm_ard_3-2-1_52JBR_2022-09-04_final
2022-09-04 11:24:46	ga_s2bm_ard_3-2-1_51JWM_2022-09-04_final
2022-09-04 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2022-09-04_final
2022-09-04 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2022-09-04_final
2022-09-04 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2022-09-04_final
2022-09-04 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2022-09-04_final
2022-09-04 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2022-09-04_final
2022-09-04 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2022-09-04_final
2022-09-04 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2022-09-04_final
2022-09-15 10:54:20	ga_s2bm_ard_3-2-1_52JGT_2022-09-15_final
2022-09-15 10:54:23	ga_s2bm_ard_3-2-1_52JFT_2022-09-15_final
2022-09-15 10:54:25	ga_s2bm_ard_3-2-1_53JLM_2022-09-15_final
2022-09-15 10:54:28	ga_s2bm_ard_3-2-1_52JHS_2022-09-15_final
2022-09-15 10:54:28	ga_s2bm_ard_3-2-1_53JKM_2022-09-15_final
2022-09-15 10:54:32	ga_s2bm_ard_3-2-1_52JGS_2022-09-15_final
2022-09-15 10:54:35	ga_s2bm_ard_3-2-1_52JFS_2022-09-15_final
2022-09-15 10:54:40	ga_s2bm_ard_3-2-1_53JLL_2022-09-15_final
2022-09-15 10:54:43	ga_s2bm_ard_3-2-1_53JKL_2022-09-15_final
2022-09-15 10:54:46	ga_s2bm_ard_3-2-1_52JGR_2022-09-15_final
2022-09-15 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2022-09-15_final
2022-09-15 10:54:54	ga_s2bm_ard_3-2-1_53JLK_2022-09-15_final
2022-09-15 10:54:57	ga_s2bm_ard_3-2-1_53JKK_2022-09-15_final
2022-09-15 10:55:01	ga_s2bm_ard_3-2-1_52JGQ_2022-09-15_final
2022-09-15 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2022-09-15_final
2022-09-15 10:55:07	ga_s2bm_ard_3-2-1_53JLJ_2022-09-15_final
2022-09-15 10:55:12	ga_s2bm_ard_3-2-1_53JKJ_2022-09-15_final
2022-09-15 10:55:15	ga_s2bm_ard_3-2-1_52JGP_2022-09-15_final
2022-09-15 10:55:17	ga_s2bm_ard_3-2-1_53JLH_2022-09-15_final
2022-09-15 10:55:19	ga_s2bm_ard_3-2-1_52JFP_2022-09-15_final
2022-09-15 10:55:24	ga_s2bm_ard_3-2-1_52JEP_2022-09-15_final
2022-09-15 10:55:26	ga_s2bm_ard_3-2-1_53JKH_2022-09-15_final
2022-09-15 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2022-09-15_final
2022-09-15 10:55:33	ga_s2bm_ard_3-2-1_52JFN_2022-09-15_final
2022-09-15 10:55:37	ga_s2bm_ard_3-2-1_52JEN_2022-09-15_final
2022-09-15 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2022-09-15_final
2022-09-15 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2022-09-15_final
2022-09-15 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2022-09-15_final
2022-09-15 10:55:51	ga_s2bm_ard_3-2-1_52JEM_2022-09-15_final
2022-09-15 10:55:56	ga_s2bm_ard_3-2-1_53JKF_2022-09-15_final
2022-09-15 10:55:58	ga_s2bm_ard_3-2-1_52JGL_2022-09-15_final
2022-09-15 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2022-09-15_final
2022-09-15 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2022-09-15_final
2022-09-15 10:56:10	ga_s2bm_ard_3-2-1_53HKE_2022-09-15_final
2022-09-15 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2022-09-15_final
2022-09-15 10:56:24	ga_s2bm_ard_3-2-1_52HDK_2022-09-15_final
2022-09-15 14:23:37	ga_s2bm_ard_3-2-1_43FDB_2022-09-15_final
2022-09-15 14:23:39	ga_s2bm_ard_3-2-1_43FCB_2022-09-15_final
2022-09-15 14:23:42	ga_s2bm_ard_3-2-1_43FDA_2022-09-15_interim
2022-09-15 14:23:44	ga_s2bm_ard_3-2-1_43FCA_2022-09-15_interim
2022-09-16 10:19:25	ga_s2bm_ard_3-2-1_54LZR_2022-09-16_final
2022-09-16 10:19:40	ga_s2bm_ard_3-2-1_54LZQ_2022-09-16_final
2022-09-16 10:19:43	ga_s2bm_ard_3-2-1_54LYQ_2022-09-16_final
2022-09-16 10:19:46	ga_s2bm_ard_3-2-1_54LXQ_2022-09-16_final
2022-09-16 10:19:54	ga_s2bm_ard_3-2-1_54LZP_2022-09-16_final
2022-09-16 10:19:57	ga_s2bm_ard_3-2-1_54LYP_2022-09-16_final
2022-09-16 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2022-09-16_final
2022-09-16 10:20:08	ga_s2bm_ard_3-2-1_54LZN_2022-09-16_final
2022-09-16 10:20:12	ga_s2bm_ard_3-2-1_54LYN_2022-09-16_final
2022-09-16 10:20:15	ga_s2bm_ard_3-2-1_54LXN_2022-09-16_final
2022-09-16 10:20:20	ga_s2bm_ard_3-2-1_54LWN_2022-09-16_final
2022-09-16 10:20:23	ga_s2bm_ard_3-2-1_54LZM_2022-09-16_final
2022-09-16 10:20:26	ga_s2bm_ard_3-2-1_54LYM_2022-09-16_final
2022-09-16 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2022-09-16_final
2022-09-16 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2022-09-16_final
2022-09-16 10:20:37	ga_s2bm_ard_3-2-1_54LZL_2022-09-16_final
2022-09-16 10:20:41	ga_s2bm_ard_3-2-1_54LYL_2022-09-16_final
2022-09-16 10:20:44	ga_s2bm_ard_3-2-1_54LXL_2022-09-16_final
2022-09-16 10:20:47	ga_s2bm_ard_3-2-1_54LWL_2022-09-16_final
2022-09-16 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2022-09-16_final
2022-09-16 10:20:55	ga_s2bm_ard_3-2-1_54LYK_2022-09-16_final
2022-09-16 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2022-09-16_final
2022-09-16 10:21:02	ga_s2bm_ard_3-2-1_54LWK_2022-09-16_final
2022-09-16 10:21:03	ga_s2bm_ard_3-2-1_54LZJ_2022-09-16_final
2022-09-16 10:21:10	ga_s2bm_ard_3-2-1_54LYJ_2022-09-16_final
2022-09-16 10:21:13	ga_s2bm_ard_3-2-1_54LXJ_2022-09-16_final
2022-09-16 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2022-09-16_final
2022-09-16 10:21:23	ga_s2bm_ard_3-2-1_54LVJ_2022-09-16_final
2022-09-16 10:21:24	ga_s2bm_ard_3-2-1_54LYH_2022-09-16_final
2022-09-16 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2022-09-16_final
2022-09-16 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2022-09-16_final
2022-09-16 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2022-09-16_final
2022-09-16 10:21:39	ga_s2bm_ard_3-2-1_54KYG_2022-09-16_final
2022-09-16 10:21:42	ga_s2bm_ard_3-2-1_54KXG_2022-09-16_final
2022-09-16 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2022-09-16_final
2022-09-16 10:21:49	ga_s2bm_ard_3-2-1_54KVG_2022-09-16_final
2022-09-16 10:21:53	ga_s2bm_ard_3-2-1_54KYF_2022-09-16_final
2022-09-16 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2022-09-16_final
2022-09-16 10:22:00	ga_s2bm_ard_3-2-1_54KWF_2022-09-16_final

Return to ga_s2bm_ard_3 across September 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

September

All days