Search ga_s2bm_ard_3 across 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
2023-01-10 10:41:38	ga_s2bm_ard_3-2-1_53LNC_2023-01-10_final
2023-01-10 10:41:39	ga_s2bm_ard_3-2-1_54KTG_2023-01-10_final
2023-01-10 10:41:42	ga_s2bm_ard_3-2-1_53KRB_2023-01-10_final
2023-01-10 10:41:45	ga_s2bm_ard_3-2-1_53KQB_2023-01-10_final
2023-01-10 10:41:49	ga_s2bm_ard_3-2-1_53KPB_2023-01-10_final
2023-01-10 10:41:51	ga_s2bm_ard_3-2-1_54KTF_2023-01-10_final
2023-01-10 10:41:52	ga_s2bm_ard_3-2-1_53KNB_2023-01-10_final
2023-01-10 10:41:56	ga_s2bm_ard_3-2-1_53KRA_2023-01-10_final
2023-01-10 10:42:00	ga_s2bm_ard_3-2-1_53KQA_2023-01-10_final
2023-01-10 10:42:03	ga_s2bm_ard_3-2-1_53KPA_2023-01-10_final
2023-01-10 10:42:06	ga_s2bm_ard_3-2-1_53KNA_2023-01-10_final
2023-01-10 10:42:09	ga_s2bm_ard_3-2-1_53KRV_2023-01-10_final
2023-01-10 10:42:14	ga_s2bm_ard_3-2-1_53KQV_2023-01-10_final
2023-01-10 10:42:18	ga_s2bm_ard_3-2-1_53KPV_2023-01-10_final
2023-01-10 10:42:19	ga_s2bm_ard_3-2-1_53KRU_2023-01-10_final
2023-01-10 10:42:21	ga_s2bm_ard_3-2-1_53KNV_2023-01-10_final
2023-01-10 10:42:28	ga_s2bm_ard_3-2-1_53KQU_2023-01-10_final
2023-01-10 10:42:32	ga_s2bm_ard_3-2-1_53KPU_2023-01-10_final
2023-01-10 10:42:36	ga_s2bm_ard_3-2-1_53KNU_2023-01-10_final
2023-01-10 10:42:40	ga_s2bm_ard_3-2-1_53KMU_2023-01-10_final
2023-01-10 10:42:43	ga_s2bm_ard_3-2-1_53KQT_2023-01-10_final
2023-01-10 10:42:47	ga_s2bm_ard_3-2-1_53KPT_2023-01-10_final
2023-01-10 10:42:50	ga_s2bm_ard_3-2-1_53KNT_2023-01-10_final
2023-01-10 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2023-01-10_final
2023-01-10 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2023-01-10_final
2023-01-10 10:43:01	ga_s2bm_ard_3-2-1_53KPS_2023-01-10_final
2023-01-10 10:43:05	ga_s2bm_ard_3-2-1_53KNS_2023-01-10_final
2023-01-10 10:43:08	ga_s2bm_ard_3-2-1_53KMS_2023-01-10_final
2023-01-10 10:43:10	ga_s2bm_ard_3-2-1_53KQR_2023-01-10_final
2023-01-10 10:43:14	ga_s2bm_ard_3-2-1_53KPR_2023-01-10_final
2023-01-10 10:43:15	ga_s2bm_ard_3-2-1_53KNR_2023-01-10_final
2023-01-10 10:43:17	ga_s2bm_ard_3-2-1_53KMR_2023-01-10_final
2023-01-10 10:43:18	ga_s2bm_ard_3-2-1_53KQR_2023-01-10_final
2023-01-10 10:43:20	ga_s2bm_ard_3-2-1_53KPR_2023-01-10_final
2023-01-10 10:43:22	ga_s2bm_ard_3-2-1_53KQQ_2023-01-10_final
2023-01-10 10:43:22	ga_s2bm_ard_3-2-1_53KNR_2023-01-10_final
2023-01-10 10:43:24	ga_s2bm_ard_3-2-1_53KMR_2023-01-10_final
2023-01-10 10:43:30	ga_s2bm_ard_3-2-1_53KPQ_2023-01-10_final
2023-01-10 10:43:34	ga_s2bm_ard_3-2-1_53KNQ_2023-01-10_final
2023-01-10 10:43:37	ga_s2bm_ard_3-2-1_53KMQ_2023-01-10_final
2023-01-10 10:43:42	ga_s2bm_ard_3-2-1_53KLQ_2023-01-10_final
2023-01-10 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2023-01-10_final
2023-01-10 10:43:48	ga_s2bm_ard_3-2-1_53KNP_2023-01-10_final
2023-01-10 10:43:51	ga_s2bm_ard_3-2-1_53KMP_2023-01-10_final
2023-01-10 10:43:55	ga_s2bm_ard_3-2-1_53KLP_2023-01-10_final
2023-01-10 10:43:59	ga_s2bm_ard_3-2-1_53JPN_2023-01-10_final
2023-01-10 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2023-01-10_final
2023-01-10 10:44:06	ga_s2bm_ard_3-2-1_53JMN_2023-01-10_final
2023-01-10 10:44:09	ga_s2bm_ard_3-2-1_53JLN_2023-01-10_final
2023-01-10 10:46:17	ga_s2bm_ard_3-2-1_53HMD_2023-01-10_final
2023-01-11 10:11:01	ga_s2bm_ard_3-2-1_55LCD_2023-01-11_final
2023-01-11 10:11:04	ga_s2bm_ard_3-2-1_55LBD_2023-01-11_final
2023-01-11 10:11:05	ga_s2bm_ard_3-2-1_54LZJ_2023-01-11_final
2023-01-11 10:11:09	ga_s2bm_ard_3-2-1_54LYJ_2023-01-11_final
2023-01-11 10:11:15	ga_s2bm_ard_3-2-1_55LCC_2023-01-11_final
2023-01-11 10:11:19	ga_s2bm_ard_3-2-1_55LBC_2023-01-11_final
2023-01-11 10:11:19	ga_s2bm_ard_3-2-1_55KDB_2023-01-11_final
2023-01-11 10:11:20	ga_s2bm_ard_3-2-1_54LZH_2023-01-11_final
2023-01-11 10:11:23	ga_s2bm_ard_3-2-1_54LYH_2023-01-11_final
2023-01-11 10:11:30	ga_s2bm_ard_3-2-1_55KCB_2023-01-11_final
2023-01-11 10:11:33	ga_s2bm_ard_3-2-1_55KBB_2023-01-11_final
2023-01-11 10:11:34	ga_s2bm_ard_3-2-1_54KZG_2023-01-11_final
2023-01-11 10:11:38	ga_s2bm_ard_3-2-1_54KYG_2023-01-11_final
2023-01-11 10:11:44	ga_s2bm_ard_3-2-1_55KCA_2023-01-11_final
2023-01-11 10:11:48	ga_s2bm_ard_3-2-1_55KBA_2023-01-11_final
2023-01-11 10:11:49	ga_s2bm_ard_3-2-1_54KZF_2023-01-11_final
2023-01-11 10:11:52	ga_s2bm_ard_3-2-1_54KYF_2023-01-11_final
2023-01-11 10:11:58	ga_s2bm_ard_3-2-1_54KXF_2023-01-11_final
2023-01-11 10:11:59	ga_s2bm_ard_3-2-1_55KCV_2023-01-11_final
2023-01-11 10:12:02	ga_s2bm_ard_3-2-1_55KBV_2023-01-11_final
2023-01-11 10:12:03	ga_s2bm_ard_3-2-1_54KZE_2023-01-11_final
2023-01-11 10:12:07	ga_s2bm_ard_3-2-1_54KYE_2023-01-11_final
2023-01-11 10:12:10	ga_s2bm_ard_3-2-1_54KXE_2023-01-11_final
2023-01-11 10:12:13	ga_s2bm_ard_3-2-1_55KCU_2023-01-11_final
2023-01-11 10:12:17	ga_s2bm_ard_3-2-1_55KBU_2023-01-11_final
2023-01-11 10:12:18	ga_s2bm_ard_3-2-1_54KZD_2023-01-11_final
2023-01-11 10:12:21	ga_s2bm_ard_3-2-1_54KYD_2023-01-11_final
2023-01-11 10:12:24	ga_s2bm_ard_3-2-1_54KXD_2023-01-11_final
2023-01-11 10:12:24	ga_s2bm_ard_3-2-1_55KCT_2023-01-11_final
2023-01-11 10:12:31	ga_s2bm_ard_3-2-1_55KBT_2023-01-11_final
2023-01-11 10:12:32	ga_s2bm_ard_3-2-1_54KZC_2023-01-11_final
2023-01-11 10:12:36	ga_s2bm_ard_3-2-1_54KYC_2023-01-11_final
2023-01-11 10:12:39	ga_s2bm_ard_3-2-1_54KXC_2023-01-11_final
2023-01-11 10:12:46	ga_s2bm_ard_3-2-1_55KBS_2023-01-11_final
2023-01-11 10:12:46	ga_s2bm_ard_3-2-1_54KZB_2023-01-11_final
2023-01-11 10:12:50	ga_s2bm_ard_3-2-1_54KYB_2023-01-11_final
2023-01-11 10:12:54	ga_s2bm_ard_3-2-1_54KXB_2023-01-11_final
2023-01-11 10:13:00	ga_s2bm_ard_3-2-1_54KWB_2023-01-11_final
2023-01-11 10:13:00	ga_s2bm_ard_3-2-1_55KBR_2023-01-11_final
2023-01-11 10:13:01	ga_s2bm_ard_3-2-1_54KZA_2023-01-11_final
2023-01-11 10:13:05	ga_s2bm_ard_3-2-1_54KYA_2023-01-11_final
2023-01-11 10:13:08	ga_s2bm_ard_3-2-1_54KXA_2023-01-11_final
2023-01-11 10:13:12	ga_s2bm_ard_3-2-1_54KWA_2023-01-11_final
2023-01-11 10:13:15	ga_s2bm_ard_3-2-1_55KBQ_2023-01-11_final
2023-01-11 10:13:15	ga_s2bm_ard_3-2-1_54KZV_2023-01-11_final
2023-01-11 10:13:19	ga_s2bm_ard_3-2-1_54KYV_2023-01-11_final
2023-01-11 10:13:23	ga_s2bm_ard_3-2-1_54KXV_2023-01-11_final
2023-01-11 10:13:26	ga_s2bm_ard_3-2-1_54KWV_2023-01-11_final
2023-01-11 10:13:29	ga_s2bm_ard_3-2-1_55KBP_2023-01-11_final
2023-01-11 10:13:29	ga_s2bm_ard_3-2-1_54KZU_2023-01-11_final

Return to ga_s2bm_ard_3 across 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

All months