Search ga_ls7e_ard_3 across December 2013

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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-12-07 09:18:14	ga_ls7e_ard_3-0-0_090088_2013-12-06_final
2013-12-07 09:18:38	ga_ls7e_ard_3-0-0_090089_2013-12-06_final
2013-12-07 10:49:08	ga_ls7e_ard_3-0-0_106068_2013-12-07_final
2013-12-07 10:49:32	ga_ls7e_ard_3-0-0_106069_2013-12-07_final
2013-12-07 10:49:56	ga_ls7e_ard_3-0-0_106070_2013-12-07_final
2013-12-07 10:50:20	ga_ls7e_ard_3-0-0_106071_2013-12-07_final
2013-12-07 10:50:44	ga_ls7e_ard_3-0-0_106072_2013-12-07_final
2013-12-07 10:51:08	ga_ls7e_ard_3-0-0_106073_2013-12-07_final
2013-12-07 10:51:32	ga_ls7e_ard_3-0-0_106074_2013-12-07_final
2013-12-07 10:51:56	ga_ls7e_ard_3-1-0_106075_2013-12-07_final
2013-12-07 10:52:20	ga_ls7e_ard_3-0-0_106076_2013-12-07_final
2013-12-07 10:52:44	ga_ls7e_ard_3-0-0_106077_2013-12-07_final
2013-12-07 10:53:08	ga_ls7e_ard_3-0-0_106078_2013-12-07_final
2013-12-07 10:54:19	ga_ls7e_ard_3-0-0_106081_2013-12-07_final
2013-12-07 10:54:43	ga_ls7e_ard_3-0-0_106082_2013-12-07_final
2013-12-07 10:55:07	ga_ls7e_ard_3-0-0_106083_2013-12-07_final
2013-12-08 09:53:55	ga_ls7e_ard_3-0-0_097069_2013-12-08_final
2013-12-08 09:54:19	ga_ls7e_ard_3-0-0_097070_2013-12-08_final
2013-12-08 09:54:43	ga_ls7e_ard_3-0-0_097071_2013-12-08_final
2013-12-08 09:55:07	ga_ls7e_ard_3-0-0_097072_2013-12-08_final
2013-12-08 09:55:31	ga_ls7e_ard_3-0-0_097073_2013-12-08_final
2013-12-08 09:55:55	ga_ls7e_ard_3-0-0_097074_2013-12-08_final
2013-12-08 09:56:19	ga_ls7e_ard_3-0-0_097075_2013-12-08_final
2013-12-08 09:56:43	ga_ls7e_ard_3-1-0_097076_2013-12-08_final
2013-12-08 09:57:06	ga_ls7e_ard_3-0-0_097077_2013-12-08_final
2013-12-08 09:57:30	ga_ls7e_ard_3-0-0_097078_2013-12-08_final
2013-12-08 09:57:54	ga_ls7e_ard_3-0-0_097079_2013-12-08_final
2013-12-08 09:58:18	ga_ls7e_ard_3-0-0_097080_2013-12-08_final
2013-12-08 09:58:42	ga_ls7e_ard_3-0-0_097081_2013-12-08_final
2013-12-08 09:59:06	ga_ls7e_ard_3-0-0_097082_2013-12-08_final
2013-12-08 09:59:54	ga_ls7e_ard_3-0-0_097084_2013-12-08_final
2013-12-08 10:00:18	ga_ls7e_ard_3-0-0_097085_2013-12-08_final
2013-12-08 11:32:00	ga_ls7e_ard_3-0-0_113067_2013-12-08_final
2013-12-08 11:34:48	ga_ls7e_ard_3-0-0_113074_2013-12-08_final
2013-12-08 11:35:12	ga_ls7e_ard_3-0-0_113075_2013-12-08_final
2013-12-08 11:35:36	ga_ls7e_ard_3-0-0_113076_2013-12-08_final
2013-12-08 11:36:00	ga_ls7e_ard_3-0-0_113077_2013-12-08_final
2013-12-08 11:36:23	ga_ls7e_ard_3-0-0_113078_2013-12-08_final
2013-12-08 11:36:47	ga_ls7e_ard_3-0-0_113079_2013-12-08_final
2013-12-08 11:37:11	ga_ls7e_ard_3-0-0_113080_2013-12-08_final
2013-12-08 11:37:35	ga_ls7e_ard_3-0-0_113081_2013-12-08_final
2013-12-08 11:37:59	ga_ls7e_ard_3-0-0_113082_2013-12-08_final
2013-12-09 09:02:41	ga_ls7e_ard_3-0-0_088080_2013-12-08_final
2013-12-09 09:03:05	ga_ls7e_ard_3-0-0_088081_2013-12-08_final
2013-12-09 09:03:29	ga_ls7e_ard_3-0-0_088082_2013-12-08_final
2013-12-09 10:36:47	ga_ls7e_ard_3-0-0_104068_2013-12-09_final
2013-12-09 10:37:11	ga_ls7e_ard_3-0-0_104069_2013-12-09_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2013-12-09 10:37:59	ga_ls7e_ard_3-0-0_104071_2013-12-09_final
2013-12-09 10:38:23	ga_ls7e_ard_3-0-0_104072_2013-12-09_final
2013-12-09 10:38:46	ga_ls7e_ard_3-0-0_104073_2013-12-09_final
2013-12-09 10:39:10	ga_ls7e_ard_3-0-0_104074_2013-12-09_final
2013-12-09 10:39:34	ga_ls7e_ard_3-0-0_104075_2013-12-09_final
2013-12-09 10:39:58	ga_ls7e_ard_3-0-0_104076_2013-12-09_final
2013-12-10 09:40:46	ga_ls7e_ard_3-0-0_095067_2013-12-10_final
2013-12-10 09:42:45	ga_ls7e_ard_3-0-0_095072_2013-12-10_final
2013-12-10 09:43:09	ga_ls7e_ard_3-1-0_095073_2013-12-10_final
2013-12-10 09:43:33	ga_ls7e_ard_3-0-0_095074_2013-12-10_final
2013-12-10 09:43:57	ga_ls7e_ard_3-0-0_095075_2013-12-10_final
2013-12-10 09:44:21	ga_ls7e_ard_3-0-0_095076_2013-12-10_final
2013-12-10 09:44:45	ga_ls7e_ard_3-0-0_095077_2013-12-10_final
2013-12-10 09:45:09	ga_ls7e_ard_3-0-0_095078_2013-12-10_final
2013-12-10 09:45:33	ga_ls7e_ard_3-1-0_095079_2013-12-10_final
2013-12-10 09:45:57	ga_ls7e_ard_3-0-0_095080_2013-12-10_final
2013-12-10 09:46:21	ga_ls7e_ard_3-0-0_095081_2013-12-10_final
2013-12-10 09:46:45	ga_ls7e_ard_3-0-0_095082_2013-12-10_final
2013-12-10 09:47:09	ga_ls7e_ard_3-0-0_095083_2013-12-10_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2013-12-10 11:19:39	ga_ls7e_ard_3-0-0_111067_2013-12-10_final
2013-12-10 11:20:03	ga_ls7e_ard_3-0-0_111068_2013-12-10_final
2013-12-10 11:21:38	ga_ls7e_ard_3-0-0_111072_2013-12-10_final
2013-12-10 11:22:02	ga_ls7e_ard_3-0-0_111073_2013-12-10_final
2013-12-10 11:22:26	ga_ls7e_ard_3-0-0_111074_2013-12-10_final
2013-12-10 11:22:50	ga_ls7e_ard_3-0-0_111075_2013-12-10_final
2013-12-10 11:23:14	ga_ls7e_ard_3-0-0_111076_2013-12-10_final
2013-12-10 11:23:38	ga_ls7e_ard_3-0-0_111077_2013-12-10_final
2013-12-10 11:24:50	ga_ls7e_ard_3-0-0_111080_2013-12-10_final
2013-12-10 11:25:14	ga_ls7e_ard_3-0-0_111081_2013-12-10_final
2013-12-10 11:25:38	ga_ls7e_ard_3-1-0_111082_2013-12-10_final
2013-12-10 11:26:02	ga_ls7e_ard_3-0-0_111083_2013-12-10_final
2013-12-10 11:26:26	ga_ls7e_ard_3-0-0_111084_2013-12-10_final
2013-12-11 10:24:25	ga_ls7e_ard_3-0-0_102068_2013-12-11_final
2013-12-11 10:24:49	ga_ls7e_ard_3-0-0_102069_2013-12-11_final
2013-12-11 10:25:13	ga_ls7e_ard_3-0-0_102070_2013-12-11_final
2013-12-11 10:25:37	ga_ls7e_ard_3-0-0_102071_2013-12-11_final
2013-12-11 10:26:01	ga_ls7e_ard_3-0-0_102072_2013-12-11_final
2013-12-11 10:26:25	ga_ls7e_ard_3-0-0_102073_2013-12-11_final
2013-12-11 10:27:13	ga_ls7e_ard_3-0-0_102075_2013-12-11_final
2013-12-14 09:19:37	ga_ls7e_ard_3-0-0_091076_2013-12-13_final
2013-12-14 09:20:01	ga_ls7e_ard_3-0-0_091077_2013-12-13_final
2013-12-14 09:20:25	ga_ls7e_ard_3-0-0_091078_2013-12-13_final
2013-12-14 09:20:49	ga_ls7e_ard_3-0-0_091079_2013-12-13_final
2013-12-14 09:21:13	ga_ls7e_ard_3-0-0_091080_2013-12-13_final
2013-12-14 09:21:37	ga_ls7e_ard_3-0-0_091081_2013-12-13_final
2013-12-14 09:22:01	ga_ls7e_ard_3-0-0_091082_2013-12-13_final
2013-12-14 09:22:25	ga_ls7e_ard_3-0-0_091083_2013-12-13_final
2013-12-14 09:22:49	ga_ls7e_ard_3-0-0_091084_2013-12-13_final
2013-12-14 09:23:13	ga_ls7e_ard_3-0-0_091085_2013-12-13_final
2013-12-14 09:23:37	ga_ls7e_ard_3-1-0_091086_2013-12-13_final
2013-12-14 09:24:24	ga_ls7e_ard_3-0-0_091088_2013-12-13_final

Return to ga_ls7e_ard_3 across December 2013 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2013

December

All days