Search ga_s2am_ard_3 across January 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
2019-01-01 09:54:07	ga_s2am_ard_3-2-1_55JFL_2019-01-01_final
2019-01-01 09:55:08	ga_s2am_ard_3-2-1_55JEG_2019-01-01_final
2019-01-01 09:55:12	ga_s2am_ard_3-2-1_55JDG_2019-01-01_final
2019-01-01 11:34:55	ga_s2am_ard_3-2-1_51JUL_2019-01-01_final
2019-01-01 11:35:20	ga_s2am_ard_3-2-1_51JVJ_2019-01-01_final
2019-01-01 11:35:50	ga_s2am_ard_3-2-1_51JVG_2019-01-01_final
2019-01-02 11:04:50	ga_s2am_ard_3-2-1_52JCR_2019-01-02_final
2019-01-04 10:04:27	ga_s2am_ard_3-2-1_54JXR_2019-01-04_final
2019-01-04 11:44:45	ga_s2am_ard_3-2-1_51JUL_2019-01-04_final
2019-01-04 11:45:01	ga_s2am_ard_3-2-1_50JPR_2019-01-04_final
2019-01-04 11:45:55	ga_s2am_ard_3-2-1_50JQM_2019-01-04_final
2019-01-04 11:46:03	ga_s2am_ard_3-2-1_50JNM_2019-01-04_final
2019-01-05 11:14:44	ga_s2am_ard_3-2-1_52JCR_2019-01-05_final
2019-01-05 11:15:48	ga_s2am_ard_3-2-1_51JYG_2019-01-05_final
2019-01-06 10:44:59	ga_s2am_ard_3-2-1_53JNJ_2019-01-06_final
2019-01-06 10:45:42	ga_s2am_ard_3-2-1_52JGM_2019-01-06_final
2019-01-07 10:14:19	ga_s2am_ard_3-2-1_54JXR_2019-01-07_final
2019-01-07 10:14:37	ga_s2am_ard_3-2-1_54JWQ_2019-01-07_final
2019-01-07 10:14:41	ga_s2am_ard_3-2-1_54JVQ_2019-01-07_final
2019-01-07 11:55:30	ga_s2am_ard_3-2-1_50JNP_2019-01-07_final
2019-01-07 11:55:59	ga_s2am_ard_3-2-1_50JNM_2019-01-07_final
2019-01-08 09:44:12	ga_s2am_ard_3-2-1_55JFL_2019-01-08_final
2019-01-08 09:45:14	ga_s2am_ard_3-2-1_55JEG_2019-01-08_final
2019-01-08 09:45:21	ga_s2am_ard_3-2-1_55JDG_2019-01-08_final
2019-01-08 11:24:50	ga_s2am_ard_3-2-1_51JXL_2019-01-08_final
2019-01-08 11:25:26	ga_s2am_ard_3-2-1_51JVJ_2019-01-08_final
2019-01-08 11:25:40	ga_s2am_ard_3-2-1_51JYG_2019-01-08_final
2019-01-08 11:25:55	ga_s2am_ard_3-2-1_51JVG_2019-01-08_final
2019-01-09 10:54:33	ga_s2am_ard_3-2-1_53JLL_2019-01-09_final
2019-01-09 10:55:37	ga_s2am_ard_3-2-1_52JGM_2019-01-09_final
2019-01-09 10:55:44	ga_s2am_ard_3-2-1_52JEM_2019-01-09_final
2019-01-10 12:05:03	ga_s2am_ard_3-2-1_50JLR_2019-01-10_final
2019-01-11 09:54:08	ga_s2am_ard_3-2-1_55JFL_2019-01-11_final
2019-01-11 09:55:10	ga_s2am_ard_3-2-1_55JEG_2019-01-11_final
2019-01-11 09:55:13	ga_s2am_ard_3-2-1_55JDG_2019-01-11_final
2019-01-11 11:34:57	ga_s2am_ard_3-2-1_51JUL_2019-01-11_final
2019-01-11 11:35:22	ga_s2am_ard_3-2-1_51JVJ_2019-01-11_final
2019-01-11 11:35:51	ga_s2am_ard_3-2-1_51JVG_2019-01-11_final
2019-01-12 11:04:51	ga_s2am_ard_3-2-1_52JCR_2019-01-12_final
2019-01-12 11:05:40	ga_s2am_ard_3-2-1_52JEM_2019-01-12_final
2019-01-14 10:04:28	ga_s2am_ard_3-2-1_54JXR_2019-01-14_final
2019-01-14 11:44:47	ga_s2am_ard_3-2-1_51JUL_2019-01-14_final
2019-01-14 11:45:03	ga_s2am_ard_3-2-1_50JPR_2019-01-14_final
2019-01-14 11:45:56	ga_s2am_ard_3-2-1_50JQM_2019-01-14_final
2019-01-14 11:46:04	ga_s2am_ard_3-2-1_50JNM_2019-01-14_final
2019-01-14 11:46:08	ga_s2am_ard_3-2-1_50JMM_2019-01-14_final
2019-01-15 11:14:45	ga_s2am_ard_3-2-1_52JCR_2019-01-15_final
2019-01-15 11:15:49	ga_s2am_ard_3-2-1_51JYG_2019-01-15_final
2019-01-16 10:45:00	ga_s2am_ard_3-2-1_53JNJ_2019-01-16_final
2019-01-16 10:45:43	ga_s2am_ard_3-2-1_52JGM_2019-01-16_final
2019-01-17 10:14:21	ga_s2am_ard_3-2-1_54JXR_2019-01-17_final
2019-01-17 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2019-01-17_final
2019-01-17 10:14:42	ga_s2am_ard_3-2-1_54JVQ_2019-01-17_final
2019-01-17 11:55:31	ga_s2am_ard_3-2-1_50JNP_2019-01-17_final
2019-01-17 11:56:00	ga_s2am_ard_3-2-1_50JNM_2019-01-17_final
2019-01-18 09:44:13	ga_s2am_ard_3-2-1_55JFL_2019-01-18_final
2019-01-18 09:45:15	ga_s2am_ard_3-2-1_55JEG_2019-01-18_final
2019-01-18 11:24:51	ga_s2am_ard_3-2-1_51JXL_2019-01-18_final
2019-01-18 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2019-01-18_final
2019-01-18 11:25:41	ga_s2am_ard_3-2-1_51JYG_2019-01-18_final
2019-01-18 11:25:56	ga_s2am_ard_3-2-1_51JVG_2019-01-18_final
2019-01-19 10:54:34	ga_s2am_ard_3-2-1_53JLL_2019-01-19_final
2019-01-19 10:55:38	ga_s2am_ard_3-2-1_52JGM_2019-01-19_final
2019-01-19 10:55:45	ga_s2am_ard_3-2-1_52JEM_2019-01-19_final
2019-01-20 12:05:04	ga_s2am_ard_3-2-1_50JLR_2019-01-20_final
2019-01-21 09:54:09	ga_s2am_ard_3-2-1_55JFL_2019-01-21_final
2019-01-21 09:55:11	ga_s2am_ard_3-2-1_55JEG_2019-01-21_final
2019-01-21 09:55:14	ga_s2am_ard_3-2-1_55JDG_2019-01-21_final
2019-01-21 11:35:23	ga_s2am_ard_3-2-1_51JVJ_2019-01-21_final
2019-01-21 11:35:52	ga_s2am_ard_3-2-1_51JVG_2019-01-21_final
2019-01-22 11:04:52	ga_s2am_ard_3-2-1_52JCR_2019-01-22_final
2019-01-22 11:05:41	ga_s2am_ard_3-2-1_52JEM_2019-01-22_final
2019-01-24 10:04:29	ga_s2am_ard_3-2-1_54JXR_2019-01-24_final
2019-01-24 11:45:03	ga_s2am_ard_3-2-1_50JPR_2019-01-24_final
2019-01-24 11:45:57	ga_s2am_ard_3-2-1_50JQM_2019-01-24_final
2019-01-24 11:46:05	ga_s2am_ard_3-2-1_50JNM_2019-01-24_final
2019-01-25 11:14:46	ga_s2am_ard_3-2-1_52JCR_2019-01-25_final
2019-01-25 11:15:50	ga_s2am_ard_3-2-1_51JYG_2019-01-25_final
2019-01-25 11:15:57	ga_s2am_ard_3-2-1_51JYG_2019-01-25_final
2019-01-26 10:45:44	ga_s2am_ard_3-2-1_52JGM_2019-01-26_final
2019-01-27 10:14:21	ga_s2am_ard_3-2-1_54JXR_2019-01-27_final
2019-01-27 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2019-01-27_final
2019-01-27 10:14:43	ga_s2am_ard_3-2-1_54JVQ_2019-01-27_final
2019-01-27 11:55:31	ga_s2am_ard_3-2-1_50JNP_2019-01-27_final
2019-01-27 11:56:01	ga_s2am_ard_3-2-1_50JNM_2019-01-27_final
2019-01-28 09:44:14	ga_s2am_ard_3-2-1_55JFL_2019-01-28_final
2019-01-28 09:45:15	ga_s2am_ard_3-2-1_55JEG_2019-01-28_final
2019-01-28 11:24:52	ga_s2am_ard_3-2-1_51JXL_2019-01-28_final
2019-01-28 11:25:28	ga_s2am_ard_3-2-1_51JVJ_2019-01-28_final
2019-01-28 11:25:42	ga_s2am_ard_3-2-1_51JYG_2019-01-28_final
2019-01-28 11:25:57	ga_s2am_ard_3-2-1_51JVG_2019-01-28_final
2019-01-28 11:26:02	ga_s2am_ard_3-2-1_51JUG_2019-01-28_final
2019-01-29 10:54:34	ga_s2am_ard_3-2-1_53JLL_2019-01-29_final
2019-01-29 10:55:39	ga_s2am_ard_3-2-1_52JGM_2019-01-29_final
2019-01-29 10:55:46	ga_s2am_ard_3-2-1_52JEM_2019-01-29_final
2019-01-30 12:05:05	ga_s2am_ard_3-2-1_50JLR_2019-01-30_final
2019-01-31 09:54:10	ga_s2am_ard_3-2-1_55JFL_2019-01-31_final
2019-01-31 09:55:11	ga_s2am_ard_3-2-1_55JEG_2019-01-31_final
2019-01-31 09:55:15	ga_s2am_ard_3-2-1_55JDG_2019-01-31_final
2019-01-31 11:35:23	ga_s2am_ard_3-2-1_51JVJ_2019-01-31_final

Return to ga_s2am_ard_3 across January 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

January

All days