Search ga_s2am_ard_3 across March 2019

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
2019-03-01 10:20:55	ga_s2am_ard_3-2-1_54LWK_2019-03-01_final
2019-03-01 12:04:44	ga_s2am_ard_3-2-1_50JMS_2019-03-01_final
2019-03-01 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-03-01 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-03-02 09:52:26	ga_s2am_ard_3-2-1_55KFT_2019-03-02_final
2019-03-02 09:52:41	ga_s2am_ard_3-2-1_55KFS_2019-03-02_final
2019-03-02 09:54:11	ga_s2am_ard_3-2-1_55JEL_2019-03-02_final
2019-03-02 09:54:15	ga_s2am_ard_3-2-1_55JDL_2019-03-02_final
2019-03-02 11:34:44	ga_s2am_ard_3-2-1_51JTM_2019-03-02_final
2019-03-02 11:36:56	ga_s2am_ard_3-2-1_51HTC_2019-03-02_final
2019-03-02 11:36:58	ga_s2am_ard_3-2-1_50HQH_2019-03-02_final
2019-03-03 11:03:11	ga_s2am_ard_3-2-1_52KFB_2019-03-03_final
2019-03-04 10:34:09	ga_s2am_ard_3-2-1_54JTS_2019-03-04_final
2019-03-04 10:34:13	ga_s2am_ard_3-2-1_53JQM_2019-03-04_final
2019-03-04 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-03-04_final
2019-03-05 10:04:02	ga_s2am_ard_3-2-1_55JBM_2019-03-05_final
2019-03-05 10:04:08	ga_s2am_ard_3-2-1_55JDL_2019-03-05_final
2019-03-05 11:44:40	ga_s2am_ard_3-2-1_51JTM_2019-03-05_final
2019-03-05 11:44:43	ga_s2am_ard_3-2-1_50JQS_2019-03-05_final
2019-03-05 11:46:48	ga_s2am_ard_3-2-1_50HQH_2019-03-05_final
2019-03-06 09:33:55	ga_s2am_ard_3-2-1_56JKS_2019-03-06_final
2019-03-06 09:34:02	ga_s2am_ard_3-2-1_56JMR_2019-03-06_final
2019-03-06 11:14:32	ga_s2am_ard_3-2-1_52JBS_2019-03-06_final
2019-03-06 11:14:36	ga_s2am_ard_3-2-1_51JYM_2019-03-06_final
2019-03-07 10:44:18	ga_s2am_ard_3-2-1_53JMM_2019-03-07_final
2019-03-08 10:14:00	ga_s2am_ard_3-2-1_54JYS_2019-03-08_final
2019-03-08 11:54:49	ga_s2am_ard_3-2-1_50JMS_2019-03-08_final
2019-03-09 09:43:50	ga_s2am_ard_3-2-1_56JKS_2019-03-09_final
2019-03-09 09:44:20	ga_s2am_ard_3-2-1_55JEL_2019-03-09_final
2019-03-09 11:23:08	ga_s2am_ard_3-2-1_51KXT_2019-03-09_final
2019-03-09 11:24:27	ga_s2am_ard_3-2-1_52JBS_2019-03-09_final
2019-03-09 11:24:31	ga_s2am_ard_3-2-1_51JYM_2019-03-09_final
2019-03-09 11:27:02	ga_s2am_ard_3-2-1_51HTC_2019-03-09_final
2019-03-11 10:20:55	ga_s2am_ard_3-2-1_54LWK_2019-03-11_final
2019-03-11 12:04:44	ga_s2am_ard_3-2-1_50JMS_2019-03-11_final
2019-03-11 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-11_final
2019-03-12 09:52:27	ga_s2am_ard_3-2-1_55KFT_2019-03-12_final
2019-03-12 09:52:41	ga_s2am_ard_3-2-1_55KFS_2019-03-12_final
2019-03-12 09:54:12	ga_s2am_ard_3-2-1_55JEL_2019-03-12_final
2019-03-12 09:54:15	ga_s2am_ard_3-2-1_55JDL_2019-03-12_final
2019-03-12 11:34:45	ga_s2am_ard_3-2-1_51JTM_2019-03-12_final
2019-03-12 11:36:56	ga_s2am_ard_3-2-1_51HTC_2019-03-12_final
2019-03-12 11:36:58	ga_s2am_ard_3-2-1_50HQH_2019-03-12_final
2019-03-13 11:03:12	ga_s2am_ard_3-2-1_52KFB_2019-03-13_final
2019-03-14 10:34:10	ga_s2am_ard_3-2-1_54JTS_2019-03-14_final
2019-03-14 10:34:14	ga_s2am_ard_3-2-1_53JQM_2019-03-14_final
2019-03-14 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-03-14_final
2019-03-15 10:04:04	ga_s2am_ard_3-2-1_55JBM_2019-03-15_final
2019-03-15 10:04:10	ga_s2am_ard_3-2-1_55JDL_2019-03-15_final
2019-03-15 11:44:41	ga_s2am_ard_3-2-1_51JTM_2019-03-15_final
2019-03-15 11:44:45	ga_s2am_ard_3-2-1_50JQS_2019-03-15_final
2019-03-15 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-03-15_final
2019-03-16 09:33:57	ga_s2am_ard_3-2-1_56JKS_2019-03-16_final
2019-03-16 09:34:05	ga_s2am_ard_3-2-1_56JMR_2019-03-16_final
2019-03-16 11:14:34	ga_s2am_ard_3-2-1_52JBS_2019-03-16_final
2019-03-16 11:14:38	ga_s2am_ard_3-2-1_51JYM_2019-03-16_final
2019-03-17 10:44:21	ga_s2am_ard_3-2-1_53JMM_2019-03-17_final
2019-03-18 10:14:03	ga_s2am_ard_3-2-1_54JYS_2019-03-18_final
2019-03-18 11:54:52	ga_s2am_ard_3-2-1_50JMS_2019-03-18_final
2019-03-19 09:43:53	ga_s2am_ard_3-2-1_56JKS_2019-03-19_final
2019-03-19 09:44:22	ga_s2am_ard_3-2-1_55JEL_2019-03-19_final
2019-03-19 11:23:11	ga_s2am_ard_3-2-1_51KXT_2019-03-19_final
2019-03-19 11:24:30	ga_s2am_ard_3-2-1_52JBS_2019-03-19_final
2019-03-19 11:24:34	ga_s2am_ard_3-2-1_51JYM_2019-03-19_final
2019-03-20 10:54:27	ga_s2am_ard_3-2-1_52JGS_2019-03-20_final
2019-03-21 10:20:58	ga_s2am_ard_3-2-1_54LWK_2019-03-21_final
2019-03-21 12:04:46	ga_s2am_ard_3-2-1_50JMS_2019-03-21_final
2019-03-21 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-03-21_final
2019-03-22 11:34:47	ga_s2am_ard_3-2-1_51JTM_2019-03-22_final
2019-03-22 11:36:59	ga_s2am_ard_3-2-1_51HTC_2019-03-22_final
2019-03-22 11:37:01	ga_s2am_ard_3-2-1_50HQH_2019-03-22_final
2019-03-23 11:03:15	ga_s2am_ard_3-2-1_52KFB_2019-03-23_final
2019-03-23 11:04:23	ga_s2am_ard_3-2-1_52JGS_2019-03-23_final
2019-03-24 10:34:13	ga_s2am_ard_3-2-1_54JTS_2019-03-24_final
2019-03-24 10:34:17	ga_s2am_ard_3-2-1_53JQM_2019-03-24_final
2019-03-24 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-03-24_final
2019-03-25 10:04:06	ga_s2am_ard_3-2-1_55JBM_2019-03-25_final
2019-03-25 10:04:12	ga_s2am_ard_3-2-1_55JDL_2019-03-25_final
2019-03-25 11:44:44	ga_s2am_ard_3-2-1_51JTM_2019-03-25_final
2019-03-25 11:44:48	ga_s2am_ard_3-2-1_50JQS_2019-03-25_final
2019-03-25 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-03-25_final
2019-03-26 09:34:00	ga_s2am_ard_3-2-1_56JKS_2019-03-26_final
2019-03-26 09:34:07	ga_s2am_ard_3-2-1_56JMR_2019-03-26_final
2019-03-26 11:14:36	ga_s2am_ard_3-2-1_52JBS_2019-03-26_final
2019-03-26 11:14:38	ga_s2am_ard_3-2-1_51JYM_2019-03-26_final
2019-03-26 11:14:41	ga_s2am_ard_3-2-1_52JBR_2019-03-26_final
2019-03-26 11:14:42	ga_s2am_ard_3-2-1_52JBS_2019-03-26_final
2019-03-26 11:14:44	ga_s2am_ard_3-2-1_51JYM_2019-03-26_final
2019-03-27 10:44:23	ga_s2am_ard_3-2-1_53JMM_2019-03-27_final
2019-03-28 10:14:05	ga_s2am_ard_3-2-1_54JYS_2019-03-28_final
2019-03-28 11:54:54	ga_s2am_ard_3-2-1_50JMS_2019-03-28_final
2019-03-29 09:43:55	ga_s2am_ard_3-2-1_56JKS_2019-03-29_final
2019-03-29 09:44:25	ga_s2am_ard_3-2-1_55JEL_2019-03-29_final
2019-03-29 11:23:13	ga_s2am_ard_3-2-1_51KXT_2019-03-29_final
2019-03-29 11:24:32	ga_s2am_ard_3-2-1_52JBS_2019-03-29_final
2019-03-29 11:24:37	ga_s2am_ard_3-2-1_51JYM_2019-03-29_final
2019-03-29 11:27:07	ga_s2am_ard_3-2-1_51HTC_2019-03-29_final
2019-03-31 10:21:00	ga_s2am_ard_3-2-1_54LWK_2019-03-31_final
2019-03-31 12:04:49	ga_s2am_ard_3-2-1_50JMS_2019-03-31_final
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final

Return to ga_s2am_ard_3 across March 2019 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2019

March

All days