Search ga_s2bm_ard_3 on 17th January 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
2023-01-17 10:29:36	ga_s2bm_ard_3-2-1_54LXQ_2023-01-17_final
2023-01-17 10:29:40	ga_s2bm_ard_3-2-1_54LWQ_2023-01-17_final
2023-01-17 10:29:51	ga_s2bm_ard_3-2-1_54LXP_2023-01-17_final
2023-01-17 10:29:54	ga_s2bm_ard_3-2-1_54LWP_2023-01-17_final
2023-01-17 10:30:04	ga_s2bm_ard_3-2-1_54LXN_2023-01-17_final
2023-01-17 10:30:09	ga_s2bm_ard_3-2-1_54LWN_2023-01-17_final
2023-01-17 10:30:15	ga_s2bm_ard_3-2-1_54LXM_2023-01-17_final
2023-01-17 10:30:23	ga_s2bm_ard_3-2-1_54LWM_2023-01-17_final
2023-01-17 10:30:27	ga_s2bm_ard_3-2-1_54LVM_2023-01-17_final
2023-01-17 10:30:38	ga_s2bm_ard_3-2-1_54LWL_2023-01-17_final
2023-01-17 10:30:52	ga_s2bm_ard_3-2-1_54LWK_2023-01-17_final
2023-01-17 10:30:56	ga_s2bm_ard_3-2-1_54LVK_2023-01-17_final
2023-01-17 10:31:07	ga_s2bm_ard_3-2-1_54LWJ_2023-01-17_final
2023-01-17 10:31:10	ga_s2bm_ard_3-2-1_54LVJ_2023-01-17_final
2023-01-17 10:31:14	ga_s2bm_ard_3-2-1_54LUJ_2023-01-17_final
2023-01-17 10:31:19	ga_s2bm_ard_3-2-1_54LWH_2023-01-17_final
2023-01-17 10:31:25	ga_s2bm_ard_3-2-1_54LVH_2023-01-17_final
2023-01-17 10:31:28	ga_s2bm_ard_3-2-1_54LUH_2023-01-17_final
2023-01-17 10:31:29	ga_s2bm_ard_3-2-1_54KWG_2023-01-17_final
2023-01-17 10:31:39	ga_s2bm_ard_3-2-1_54KVG_2023-01-17_final
2023-01-17 10:31:43	ga_s2bm_ard_3-2-1_54KUG_2023-01-17_final
2023-01-17 10:31:46	ga_s2bm_ard_3-2-1_54KTG_2023-01-17_final
2023-01-17 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2023-01-17_final
2023-01-17 10:31:54	ga_s2bm_ard_3-2-1_54KVF_2023-01-17_final
2023-01-17 10:31:57	ga_s2bm_ard_3-2-1_54KUF_2023-01-17_final
2023-01-17 10:32:00	ga_s2bm_ard_3-2-1_54KTF_2023-01-17_final
2023-01-17 10:32:01	ga_s2bm_ard_3-2-1_53KRA_2023-01-17_final
2023-01-17 10:32:08	ga_s2bm_ard_3-2-1_53KQA_2023-01-17_final
2023-01-17 10:32:08	ga_s2bm_ard_3-2-1_54KVE_2023-01-17_final
2023-01-17 10:32:12	ga_s2bm_ard_3-2-1_54KUE_2023-01-17_final
2023-01-17 10:32:15	ga_s2bm_ard_3-2-1_54KTE_2023-01-17_final
2023-01-17 10:32:16	ga_s2bm_ard_3-2-1_53KRV_2023-01-17_final
2023-01-17 10:32:19	ga_s2bm_ard_3-2-1_53KQV_2023-01-17_final
2023-01-17 10:32:22	ga_s2bm_ard_3-2-1_54KVD_2023-01-17_final
2023-01-17 10:32:26	ga_s2bm_ard_3-2-1_54KUD_2023-01-17_final
2023-01-17 10:32:29	ga_s2bm_ard_3-2-1_54KTD_2023-01-17_final
2023-01-17 10:32:30	ga_s2bm_ard_3-2-1_53KRU_2023-01-17_final
2023-01-17 10:32:33	ga_s2bm_ard_3-2-1_53KQU_2023-01-17_final
2023-01-17 10:32:34	ga_s2bm_ard_3-2-1_54KVC_2023-01-17_final
2023-01-17 10:32:41	ga_s2bm_ard_3-2-1_54KUC_2023-01-17_final
2023-01-17 10:32:44	ga_s2bm_ard_3-2-1_54KTC_2023-01-17_final
2023-01-17 10:32:45	ga_s2bm_ard_3-2-1_53KRT_2023-01-17_final
2023-01-17 10:32:48	ga_s2bm_ard_3-2-1_53KQT_2023-01-17_final
2023-01-17 10:32:55	ga_s2bm_ard_3-2-1_54KUB_2023-01-17_final
2023-01-17 10:32:59	ga_s2bm_ard_3-2-1_54KTB_2023-01-17_final
2023-01-17 10:32:59	ga_s2bm_ard_3-2-1_53KRS_2023-01-17_final
2023-01-17 10:33:03	ga_s2bm_ard_3-2-1_53KQS_2023-01-17_final
2023-01-17 10:33:07	ga_s2bm_ard_3-2-1_54KUA_2023-01-17_final
2023-01-17 10:33:09	ga_s2bm_ard_3-2-1_54KTA_2023-01-17_final
2023-01-17 10:33:09	ga_s2bm_ard_3-2-1_53KRR_2023-01-17_final
2023-01-17 10:33:09	ga_s2bm_ard_3-2-1_53KPS_2023-01-17_final
2023-01-17 10:33:11	ga_s2bm_ard_3-2-1_53KQS_2023-01-17_final
2023-01-17 10:33:11	ga_s2bm_ard_3-2-1_53KQR_2023-01-17_final
2023-01-17 10:33:12	ga_s2bm_ard_3-2-1_53KPS_2023-01-17_final
2023-01-17 10:33:13	ga_s2bm_ard_3-2-1_53KPR_2023-01-17_final
2023-01-17 10:33:14	ga_s2bm_ard_3-2-1_54KUA_2023-01-17_final
2023-01-17 10:33:15	ga_s2bm_ard_3-2-1_54KTA_2023-01-17_final
2023-01-17 10:33:16	ga_s2bm_ard_3-2-1_53KRR_2023-01-17_final
2023-01-17 10:33:17	ga_s2bm_ard_3-2-1_53KQR_2023-01-17_final
2023-01-17 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2023-01-17_final
2023-01-17 10:33:24	ga_s2bm_ard_3-2-1_54KUV_2023-01-17_final
2023-01-17 10:33:28	ga_s2bm_ard_3-2-1_54KTV_2023-01-17_final
2023-01-17 10:33:28	ga_s2bm_ard_3-2-1_53KRQ_2023-01-17_final
2023-01-17 10:33:32	ga_s2bm_ard_3-2-1_53KQQ_2023-01-17_final
2023-01-17 10:33:35	ga_s2bm_ard_3-2-1_53KPQ_2023-01-17_final
2023-01-17 10:33:38	ga_s2bm_ard_3-2-1_54KUU_2023-01-17_final
2023-01-17 10:33:42	ga_s2bm_ard_3-2-1_54KTU_2023-01-17_final
2023-01-17 10:33:42	ga_s2bm_ard_3-2-1_53KRP_2023-01-17_final
2023-01-17 10:33:46	ga_s2bm_ard_3-2-1_53KQP_2023-01-17_final
2023-01-17 10:33:49	ga_s2bm_ard_3-2-1_54JUT_2023-01-17_final
2023-01-17 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2023-01-17_final
2023-01-17 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2023-01-17_final
2023-01-17 10:33:57	ga_s2bm_ard_3-2-1_54JTT_2023-01-17_final
2023-01-17 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2023-01-17_final
2023-01-17 10:34:04	ga_s2bm_ard_3-2-1_53JPN_2023-01-17_final
2023-01-17 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-01-17_final
2023-01-17 10:34:11	ga_s2bm_ard_3-2-1_53JRM_2023-01-17_final
2023-01-17 10:34:11	ga_s2bm_ard_3-2-1_54JTS_2023-01-17_final
2023-01-17 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2023-01-17_final
2023-01-17 10:34:19	ga_s2bm_ard_3-2-1_53JPM_2023-01-17_final
2023-01-17 10:34:22	ga_s2bm_ard_3-2-1_53JNM_2023-01-17_final
2023-01-17 10:34:26	ga_s2bm_ard_3-2-1_54JTR_2023-01-17_final
2023-01-17 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2023-01-17_final
2023-01-17 10:34:33	ga_s2bm_ard_3-2-1_53JPL_2023-01-17_final
2023-01-17 10:34:36	ga_s2bm_ard_3-2-1_53JNL_2023-01-17_final
2023-01-17 10:34:38	ga_s2bm_ard_3-2-1_54JTQ_2023-01-17_final
2023-01-17 10:34:39	ga_s2bm_ard_3-2-1_53JQK_2023-01-17_final
2023-01-17 10:34:41	ga_s2bm_ard_3-2-1_53JPL_2023-01-17_final
2023-01-17 10:34:41	ga_s2bm_ard_3-2-1_53JPK_2023-01-17_final
2023-01-17 10:34:42	ga_s2bm_ard_3-2-1_53JNL_2023-01-17_final
2023-01-17 10:34:42	ga_s2bm_ard_3-2-1_53JNK_2023-01-17_final
2023-01-17 10:34:44	ga_s2bm_ard_3-2-1_54JTQ_2023-01-17_final
2023-01-17 10:34:46	ga_s2bm_ard_3-2-1_53JQK_2023-01-17_final
2023-01-17 10:34:48	ga_s2bm_ard_3-2-1_53JPK_2023-01-17_final
2023-01-17 10:34:51	ga_s2bm_ard_3-2-1_53JNK_2023-01-17_final
2023-01-17 10:34:54	ga_s2bm_ard_3-2-1_54JTP_2023-01-17_final
2023-01-17 10:34:58	ga_s2bm_ard_3-2-1_53JQJ_2023-01-17_final
2023-01-17 10:35:02	ga_s2bm_ard_3-2-1_53JPJ_2023-01-17_final
2023-01-17 10:35:05	ga_s2bm_ard_3-2-1_54JTN_2023-01-17_final
2023-01-17 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2023-01-17_final

Return to ga_s2bm_ard_3 on 17th January 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

January

17th