Search ga_s2bm_ard_3 on 1st October 2023

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
2023-10-01 10:19:25	ga_s2bm_ard_3-2-1_54LZR_2023-10-01_final
2023-10-01 10:19:40	ga_s2bm_ard_3-2-1_54LZQ_2023-10-01_final
2023-10-01 10:19:43	ga_s2bm_ard_3-2-1_54LYQ_2023-10-01_final
2023-10-01 10:19:46	ga_s2bm_ard_3-2-1_54LXQ_2023-10-01_final
2023-10-01 10:19:54	ga_s2bm_ard_3-2-1_54LZP_2023-10-01_final
2023-10-01 10:19:57	ga_s2bm_ard_3-2-1_54LYP_2023-10-01_final
2023-10-01 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2023-10-01_final
2023-10-01 10:20:08	ga_s2bm_ard_3-2-1_54LZN_2023-10-01_final
2023-10-01 10:20:12	ga_s2bm_ard_3-2-1_54LYN_2023-10-01_final
2023-10-01 10:20:15	ga_s2bm_ard_3-2-1_54LXN_2023-10-01_final
2023-10-01 10:20:20	ga_s2bm_ard_3-2-1_54LWN_2023-10-01_final
2023-10-01 10:20:23	ga_s2bm_ard_3-2-1_54LZM_2023-10-01_final
2023-10-01 10:20:26	ga_s2bm_ard_3-2-1_54LYM_2023-10-01_final
2023-10-01 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2023-10-01_final
2023-10-01 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2023-10-01_final
2023-10-01 10:20:37	ga_s2bm_ard_3-2-1_54LZL_2023-10-01_final
2023-10-01 10:20:41	ga_s2bm_ard_3-2-1_54LYL_2023-10-01_final
2023-10-01 10:20:44	ga_s2bm_ard_3-2-1_54LXL_2023-10-01_final
2023-10-01 10:20:47	ga_s2bm_ard_3-2-1_54LWL_2023-10-01_final
2023-10-01 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2023-10-01_final
2023-10-01 10:20:55	ga_s2bm_ard_3-2-1_54LYK_2023-10-01_final
2023-10-01 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2023-10-01_final
2023-10-01 10:21:02	ga_s2bm_ard_3-2-1_54LWK_2023-10-01_final
2023-10-01 10:21:03	ga_s2bm_ard_3-2-1_54LZJ_2023-10-01_final
2023-10-01 10:21:10	ga_s2bm_ard_3-2-1_54LYJ_2023-10-01_final
2023-10-01 10:21:13	ga_s2bm_ard_3-2-1_54LXJ_2023-10-01_final
2023-10-01 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2023-10-01_final
2023-10-01 10:21:23	ga_s2bm_ard_3-2-1_54LVJ_2023-10-01_final
2023-10-01 10:21:24	ga_s2bm_ard_3-2-1_54LYH_2023-10-01_final
2023-10-01 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2023-10-01_final
2023-10-01 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2023-10-01_final
2023-10-01 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2023-10-01_final
2023-10-01 10:21:39	ga_s2bm_ard_3-2-1_54KYG_2023-10-01_final
2023-10-01 10:21:42	ga_s2bm_ard_3-2-1_54KXG_2023-10-01_final
2023-10-01 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2023-10-01_final
2023-10-01 10:21:49	ga_s2bm_ard_3-2-1_54KVG_2023-10-01_final
2023-10-01 10:21:53	ga_s2bm_ard_3-2-1_54KYF_2023-10-01_final
2023-10-01 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2023-10-01_final
2023-10-01 10:22:00	ga_s2bm_ard_3-2-1_54KWF_2023-10-01_final
2023-10-01 10:22:03	ga_s2bm_ard_3-2-1_54KVF_2023-10-01_final
2023-10-01 10:22:06	ga_s2bm_ard_3-2-1_54KYE_2023-10-01_final
2023-10-01 10:22:11	ga_s2bm_ard_3-2-1_54KXE_2023-10-01_final
2023-10-01 10:22:15	ga_s2bm_ard_3-2-1_54KWE_2023-10-01_final
2023-10-01 10:22:15	ga_s2bm_ard_3-2-1_54KYD_2023-10-01_final
2023-10-01 10:22:18	ga_s2bm_ard_3-2-1_54KVE_2023-10-01_final
2023-10-01 10:22:26	ga_s2bm_ard_3-2-1_54KUE_2023-10-01_final
2023-10-01 10:22:26	ga_s2bm_ard_3-2-1_54KXD_2023-10-01_final
2023-10-01 10:22:29	ga_s2bm_ard_3-2-1_54KWD_2023-10-01_final
2023-10-01 10:22:31	ga_s2bm_ard_3-2-1_54KVD_2023-10-01_final
2023-10-01 10:22:34	ga_s2bm_ard_3-2-1_54KUD_2023-10-01_final
2023-10-01 10:22:35	ga_s2bm_ard_3-2-1_54KXC_2023-10-01_final
2023-10-01 10:22:36	ga_s2bm_ard_3-2-1_54KWD_2023-10-01_final
2023-10-01 10:22:36	ga_s2bm_ard_3-2-1_54KWC_2023-10-01_final
2023-10-01 10:22:38	ga_s2bm_ard_3-2-1_54KVD_2023-10-01_final
2023-10-01 10:22:39	ga_s2bm_ard_3-2-1_54KUD_2023-10-01_final
2023-10-01 10:22:41	ga_s2bm_ard_3-2-1_54KXC_2023-10-01_final
2023-10-01 10:22:44	ga_s2bm_ard_3-2-1_54KWC_2023-10-01_final
2023-10-01 10:22:47	ga_s2bm_ard_3-2-1_54KVC_2023-10-01_final
2023-10-01 10:22:50	ga_s2bm_ard_3-2-1_54KUC_2023-10-01_final
2023-10-01 10:22:55	ga_s2bm_ard_3-2-1_54KXB_2023-10-01_final
2023-10-01 10:22:58	ga_s2bm_ard_3-2-1_54KWB_2023-10-01_final
2023-10-01 10:23:02	ga_s2bm_ard_3-2-1_54KVB_2023-10-01_final
2023-10-01 10:23:05	ga_s2bm_ard_3-2-1_54KUB_2023-10-01_final
2023-10-01 10:23:08	ga_s2bm_ard_3-2-1_54KXA_2023-10-01_final
2023-10-01 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2023-10-01_final
2023-10-01 10:23:16	ga_s2bm_ard_3-2-1_54KVA_2023-10-01_final
2023-10-01 10:23:19	ga_s2bm_ard_3-2-1_54KXV_2023-10-01_final
2023-10-01 10:23:19	ga_s2bm_ard_3-2-1_54KUA_2023-10-01_final
2023-10-01 10:23:27	ga_s2bm_ard_3-2-1_54KWV_2023-10-01_final
2023-10-01 10:23:31	ga_s2bm_ard_3-2-1_54KVV_2023-10-01_final
2023-10-01 10:23:34	ga_s2bm_ard_3-2-1_54KUV_2023-10-01_final
2023-10-01 10:23:39	ga_s2bm_ard_3-2-1_54KTV_2023-10-01_final
2023-10-01 10:23:42	ga_s2bm_ard_3-2-1_54KWU_2023-10-01_final
2023-10-01 10:23:42	ga_s2bm_ard_3-2-1_53KRQ_2023-10-01_final
2023-10-01 10:23:45	ga_s2bm_ard_3-2-1_54KVU_2023-10-01_final
2023-10-01 10:23:48	ga_s2bm_ard_3-2-1_54KUU_2023-10-01_final
2023-10-01 10:23:52	ga_s2bm_ard_3-2-1_54KTU_2023-10-01_final
2023-10-01 10:23:52	ga_s2bm_ard_3-2-1_53KRP_2023-10-01_final
2023-10-01 10:23:56	ga_s2bm_ard_3-2-1_54JWT_2023-10-01_final
2023-10-01 10:24:00	ga_s2bm_ard_3-2-1_54JVT_2023-10-01_final
2023-10-01 10:24:03	ga_s2bm_ard_3-2-1_54JUT_2023-10-01_final
2023-10-01 10:24:06	ga_s2bm_ard_3-2-1_53JRN_2023-10-01_final
2023-10-01 10:24:06	ga_s2bm_ard_3-2-1_54JTT_2023-10-01_final
2023-10-01 10:24:10	ga_s2bm_ard_3-2-1_54JWS_2023-10-01_final
2023-10-01 10:24:14	ga_s2bm_ard_3-2-1_54JVS_2023-10-01_final
2023-10-01 10:24:18	ga_s2bm_ard_3-2-1_54JUS_2023-10-01_final
2023-10-01 10:24:21	ga_s2bm_ard_3-2-1_53JRM_2023-10-01_final
2023-10-01 10:24:21	ga_s2bm_ard_3-2-1_54JTS_2023-10-01_final
2023-10-01 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2023-10-01_final
2023-10-01 10:24:29	ga_s2bm_ard_3-2-1_54JVR_2023-10-01_final
2023-10-01 10:24:32	ga_s2bm_ard_3-2-1_54JUR_2023-10-01_final
2023-10-01 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2023-10-01_final
2023-10-01 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2023-10-01_final
2023-10-01 10:24:43	ga_s2bm_ard_3-2-1_54JVQ_2023-10-01_final
2023-10-01 10:24:47	ga_s2bm_ard_3-2-1_54JUQ_2023-10-01_final
2023-10-01 10:24:50	ga_s2bm_ard_3-2-1_54JTQ_2023-10-01_final
2023-10-01 10:24:53	ga_s2bm_ard_3-2-1_53JQK_2023-10-01_final
2023-10-01 10:24:58	ga_s2bm_ard_3-2-1_54JVP_2023-10-01_final
2023-10-01 10:25:01	ga_s2bm_ard_3-2-1_54JUP_2023-10-01_final
2023-10-01 10:25:04	ga_s2bm_ard_3-2-1_54JTP_2023-10-01_final

Return to ga_s2bm_ard_3 on 1st October 2023 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

2023

October

1st