Search ga_s2bm_ard_3 on 16th January 2024

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
2024-01-16 10:11:52	ga_s2bm_ard_3-2-1_54KZF_2024-01-16_final
2024-01-16 10:11:55	ga_s2bm_ard_3-2-1_54KYF_2024-01-16_final
2024-01-16 10:12:05	ga_s2bm_ard_3-2-1_55KBV_2024-01-16_final
2024-01-16 10:12:06	ga_s2bm_ard_3-2-1_54KZE_2024-01-16_final
2024-01-16 10:12:09	ga_s2bm_ard_3-2-1_54KYE_2024-01-16_final
2024-01-16 10:12:20	ga_s2bm_ard_3-2-1_55KBU_2024-01-16_final
2024-01-16 10:12:20	ga_s2bm_ard_3-2-1_54KZD_2024-01-16_final
2024-01-16 10:12:27	ga_s2bm_ard_3-2-1_54KXD_2024-01-16_final
2024-01-16 10:12:34	ga_s2bm_ard_3-2-1_55KBT_2024-01-16_final
2024-01-16 10:12:35	ga_s2bm_ard_3-2-1_54KZC_2024-01-16_final
2024-01-16 10:12:42	ga_s2bm_ard_3-2-1_54KXC_2024-01-16_final
2024-01-16 10:12:49	ga_s2bm_ard_3-2-1_55KBS_2024-01-16_final
2024-01-16 10:12:49	ga_s2bm_ard_3-2-1_54KZB_2024-01-16_final
2024-01-16 10:12:56	ga_s2bm_ard_3-2-1_54KXB_2024-01-16_final
2024-01-16 10:13:03	ga_s2bm_ard_3-2-1_54KWB_2024-01-16_final
2024-01-16 10:13:03	ga_s2bm_ard_3-2-1_54KZA_2024-01-16_final
2024-01-16 10:13:11	ga_s2bm_ard_3-2-1_54KXA_2024-01-16_final
2024-01-16 10:13:14	ga_s2bm_ard_3-2-1_54KWA_2024-01-16_final
2024-01-16 10:13:18	ga_s2bm_ard_3-2-1_54KZV_2024-01-16_final
2024-01-16 10:13:22	ga_s2bm_ard_3-2-1_54KYV_2024-01-16_final
2024-01-16 10:13:28	ga_s2bm_ard_3-2-1_54KWV_2024-01-16_final
2024-01-16 10:13:32	ga_s2bm_ard_3-2-1_54KZU_2024-01-16_final
2024-01-16 10:13:36	ga_s2bm_ard_3-2-1_54KYU_2024-01-16_final
2024-01-16 10:13:43	ga_s2bm_ard_3-2-1_55JBN_2024-01-16_final
2024-01-16 10:13:43	ga_s2bm_ard_3-2-1_54KWU_2024-01-16_final
2024-01-16 10:13:51	ga_s2bm_ard_3-2-1_54JYT_2024-01-16_final
2024-01-16 10:13:58	ga_s2bm_ard_3-2-1_54JWT_2024-01-16_final
2024-01-16 10:14:05	ga_s2bm_ard_3-2-1_54JYS_2024-01-16_final
2024-01-16 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2024-01-16_final
2024-01-16 10:14:20	ga_s2bm_ard_3-2-1_54JYR_2024-01-16_final
2024-01-16 10:14:25	ga_s2bm_ard_3-2-1_54JWR_2024-01-16_final
2024-01-16 10:14:32	ga_s2bm_ard_3-2-1_54JWR_2024-01-16_final
2024-01-16 10:14:35	ga_s2bm_ard_3-2-1_54JYQ_2024-01-16_final
2024-01-16 10:14:41	ga_s2bm_ard_3-2-1_54JWQ_2024-01-16_final
2024-01-16 10:14:52	ga_s2bm_ard_3-2-1_54JXP_2024-01-16_final
2024-01-16 10:14:56	ga_s2bm_ard_3-2-1_54JWP_2024-01-16_final
2024-01-16 10:14:59	ga_s2bm_ard_3-2-1_54JVP_2024-01-16_final
2024-01-16 10:15:06	ga_s2bm_ard_3-2-1_54JUP_2024-01-16_final
2024-01-16 10:15:07	ga_s2bm_ard_3-2-1_54JXN_2024-01-16_final
2024-01-16 10:15:11	ga_s2bm_ard_3-2-1_54JWN_2024-01-16_final
2024-01-16 10:15:14	ga_s2bm_ard_3-2-1_54JVN_2024-01-16_final
2024-01-16 10:15:18	ga_s2bm_ard_3-2-1_54JUN_2024-01-16_final
2024-01-16 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2024-01-16_final
2024-01-16 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2024-01-16_final
2024-01-16 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2024-01-16_final
2024-01-16 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2024-01-16_final
2024-01-16 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2024-01-16_final
2024-01-16 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2024-01-16_final
2024-01-16 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2024-01-16_final
2024-01-16 11:54:10	ga_s2bm_ard_3-2-1_50KMV_2024-01-16_final
2024-01-16 11:54:12	ga_s2bm_ard_3-2-1_50KQU_2024-01-16_final
2024-01-16 11:54:18	ga_s2bm_ard_3-2-1_50KPU_2024-01-16_final
2024-01-16 11:54:21	ga_s2bm_ard_3-2-1_50KNU_2024-01-16_final
2024-01-16 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2024-01-16_final
2024-01-16 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2024-01-16_final
2024-01-16 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2024-01-16_final
2024-01-16 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2024-01-16_final
2024-01-16 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2024-01-16_final
2024-01-16 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2024-01-16_final
2024-01-16 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2024-01-16_final
2024-01-16 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2024-01-16_final
2024-01-16 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2024-01-16_final
2024-01-16 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2024-01-16_final
2024-01-16 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2024-01-16_final
2024-01-16 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2024-01-16_final
2024-01-16 11:55:05	ga_s2bm_ard_3-2-1_50JNR_2024-01-16_final
2024-01-16 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2024-01-16_final
2024-01-16 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2024-01-16_final
2024-01-16 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2024-01-16_final
2024-01-16 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2024-01-16_final
2024-01-16 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2024-01-16_final
2024-01-16 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2024-01-16_final
2024-01-16 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2024-01-16_final
2024-01-16 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2024-01-16_final
2024-01-16 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2024-01-16_final
2024-01-16 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2024-01-16_final
2024-01-16 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-16_final
2024-01-16 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2024-01-16_final
2024-01-16 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2024-01-16_final
2024-01-16 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-01-16_final
2024-01-16 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2024-01-16_final
2024-01-16 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2024-01-16_final
2024-01-16 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2024-01-16_final
2024-01-16 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2024-01-16_final
2024-01-16 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2024-01-16_final
2024-01-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2024-01-16_final
2024-01-16 11:56:21	ga_s2bm_ard_3-2-1_50JML_2024-01-16_final
2024-01-16 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-01-16_final
2024-01-16 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2024-01-16_final
2024-01-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2024-01-16_final
2024-01-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-01-16_final
2024-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-16_final
2024-01-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2024-01-16_final
2024-01-16 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-16_final
2024-01-16 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final
2024-01-16 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2024-01-16_final
2024-01-16 11:57:12	ga_s2bm_ard_3-2-1_50HMG_2024-01-16_final
2024-01-16 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final
2024-01-16 11:57:14	ga_s2bm_ard_3-2-1_50HLG_2024-01-16_final
2024-01-16 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-01-16_final

Return to ga_s2bm_ard_3 on 16th January 2024 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

2024

January

16th