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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 s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51JUJ_2017-07-05_final
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_52KCE_2017-08-21_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVV_2017-09-03_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUE_2017-09-23_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50JQQ_2017-10-06_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KZQ_2017-10-20_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_51JYN_2017-10-27_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KMA_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKP_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKS_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLT_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JMT_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KKB_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KMC_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KNC_2017-11-01_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVS_2017-11-02_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWR_2017-11-02_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWT_2017-11-02_final
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JDR_2017-11-03_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_50KKA_2017-11-04_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50KQV_2017-11-05_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50KRV_2017-11-05_final
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52KBB_2017-11-06_final
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52KEU_2017-11-06_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KNV_2017-11-08_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KNA_2017-11-08_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KNB_2017-11-08_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KPB_2017-11-08_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JHM_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KMA_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKQ_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKS_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JLT_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JMT_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KLA_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KNA_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KNC_2017-11-11_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KUS_2017-11-12_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXS_2017-11-12_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXT_2017-11-12_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52KEU_2017-11-13_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JFM_2017-11-14_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGK_2017-11-14_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KTR_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JQT_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KQU_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KQV_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KRV_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUP_2017-11-15_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUT_2017-11-15_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52JDS_2017-11-16_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KBU_2017-11-16_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KDU_2017-11-16_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KMB_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KNV_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKN_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMT_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JPT_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KPU_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KQB_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KQU_2017-11-18_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52KBB_2017-11-19_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JYJ_2017-11-19_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JYM_2017-11-19_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KMA_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGK_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JMT_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KLU_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KNA_2017-11-21_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51JTN_2017-11-22_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVP_2017-11-22_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGK_2017-11-24_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRU_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTR_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JRS_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KQA_2017-11-25_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPA_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KNB_2017-11-28_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KZR_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYJ_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KXQ_2017-11-29_final
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52KHU_2017-11-30_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYV_2017-12-02_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYA_2017-12-02_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCE_2017-12-06_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KDG_2017-12-09_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLL_2017-12-11_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JKM_2017-12-18_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KCE_2017-12-19_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KYV_2017-12-22_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50JNL_2017-12-25_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52KFF_2017-12-26_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKM_2017-12-28_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JNQ_2018-01-04_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JQS_2018-01-14_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years