Search ga_s2bm_ard_3 whole collection

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
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KMQ_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KMR_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KMU_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KNQ_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KNR_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KNS_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KNT_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KPA_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KPB_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KPR_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KPS_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KQA_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KQB_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KQS_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53KQT_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53LPE_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53LPF_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53LQC_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_53LQD_2017-06-30_final
2017-06-30 10:37:27	ga_s2bm_ard_3-2-1_54KTF_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53HLD_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53HME_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JKG_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JKH_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JKL_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JLH_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JLJ_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JLM_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JLN_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JMH_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JMJ_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JNG_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JNH_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JNL_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JNM_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JPM_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JPN_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53KMQ_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53KMR_2017-06-30_final
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53KNP_2017-06-30_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51JUL_2018-10-01_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLH_2018-10-04_final
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_52KGB_2018-10-06_final
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_52KHD_2018-10-06_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-10-07_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JDS_2018-10-09_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53JNL_2018-10-10_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53KQT_2018-10-10_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JQN_2018-10-11_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KMA_2018-10-14_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_53JLN_2018-10-16_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGK_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JMT_2018-10-17_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53KPR_2018-10-20_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HPH_2018-10-21_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KMC_2018-10-24_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JMQ_2018-10-24_final
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_54JUR_2018-10-27_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55HCB_2018-10-28_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMH_2018-10-31_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52LFJ_2018-11-01_final
2018-11-02 10:43:08	ga_s2bm_ard_3-2-1_53JNL_2018-11-02_final
2018-11-06 10:24:28	ga_s2bm_ard_3-2-1_54JUR_2018-11-06_final
2018-11-06 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2018-11-06_final
2018-11-06 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2018-11-06_final
2018-11-07 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2018-11-07_final
2018-11-09 10:34:59	ga_s2bm_ard_3-2-1_53JQJ_2018-11-09_final
2018-11-09 10:35:21	ga_s2bm_ard_3-2-1_53JNH_2018-11-09_final
2018-11-12 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2018-11-12_final
2018-11-16 10:23:03	ga_s2bm_ard_3-2-1_54KXA_2018-11-16_final
2018-11-16 10:24:28	ga_s2bm_ard_3-2-1_54JUR_2018-11-16_final
2018-11-16 10:25:37	ga_s2bm_ard_3-2-1_53JPG_2018-11-16_final
2018-11-17 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2018-11-17_final
2018-11-20 10:03:06	ga_s2bm_ard_3-2-1_54KZA_2018-11-20_final
2018-11-23 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2018-11-23_final
2018-11-23 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2018-11-23_final
2018-11-25 10:54:55	ga_s2bm_ard_3-2-1_52JGQ_2018-11-25_final
2018-11-27 11:31:31	ga_s2bm_ard_3-2-1_51LZD_2018-11-27_final
2018-11-27 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2018-11-27_final
2018-11-28 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2018-11-28_final
2018-11-28 11:04:11	ga_s2bm_ard_3-2-1_52JGT_2018-11-28_final
2018-11-29 10:32:07	ga_s2bm_ard_3-2-1_53KQA_2018-11-29_final
2018-11-29 10:34:25	ga_s2bm_ard_3-2-1_54JTR_2018-11-29_final
2018-11-30 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2018-11-30_final
2018-11-30 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2018-11-30_final
2018-12-01 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2018-12-01_final
2018-12-02 10:41:48	ga_s2bm_ard_3-2-1_53KPB_2018-12-02_final
2018-12-05 10:51:36	ga_s2bm_ard_3-2-1_53KPB_2018-12-05_final
2018-12-05 10:54:06	ga_s2bm_ard_3-2-1_52JHT_2018-12-05_final
2018-12-06 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2018-12-06_final
2018-12-06 12:03:39	ga_s2bm_ard_3-2-1_50KNA_2018-12-06_final
2018-12-09 10:35:10	ga_s2bm_ard_3-2-1_53JQH_2018-12-09_final
2018-12-16 10:26:12	ga_s2bm_ard_3-2-1_53HQD_2018-12-16_final
2018-12-17 11:34:52	ga_s2bm_ard_3-2-1_51JVL_2018-12-17_final
2018-12-18 11:06:04	ga_s2bm_ard_3-2-1_52JBL_2018-12-18_final
2018-12-19 10:34:09	ga_s2bm_ard_3-2-1_54JTS_2018-12-19_final
2018-12-21 11:12:49	ga_s2bm_ard_3-2-1_52KFC_2018-12-21_final
2018-12-23 10:12:46	ga_s2bm_ard_3-2-1_54KZB_2018-12-23_final
2018-12-23 10:14:49	ga_s2bm_ard_3-2-1_54JXP_2018-12-23_final
2018-12-24 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2018-12-24_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