Search ga_ls7e_ard_3 across October 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
2013-10-10 10:12:51	ga_ls7e_ard_3-0-0_100071_2013-10-10_final
2013-10-10 10:13:15	ga_ls7e_ard_3-0-0_100072_2013-10-10_final
2013-10-10 10:13:39	ga_ls7e_ard_3-0-0_100073_2013-10-10_final
2013-10-10 10:14:03	ga_ls7e_ard_3-0-0_100074_2013-10-10_final
2013-10-10 10:14:27	ga_ls7e_ard_3-0-0_100075_2013-10-10_final
2013-10-10 10:14:51	ga_ls7e_ard_3-0-0_100076_2013-10-10_final
2013-10-10 10:15:15	ga_ls7e_ard_3-0-0_100077_2013-10-10_final
2013-10-10 10:15:39	ga_ls7e_ard_3-0-0_100078_2013-10-10_final
2013-10-10 10:16:03	ga_ls7e_ard_3-0-0_100079_2013-10-10_final
2013-10-10 10:16:26	ga_ls7e_ard_3-0-0_100080_2013-10-10_final
2013-10-10 10:16:50	ga_ls7e_ard_3-0-0_100081_2013-10-10_final
2013-10-11 09:19:14	ga_ls7e_ard_3-0-0_091076_2013-10-10_final
2013-10-11 09:19:38	ga_ls7e_ard_3-0-0_091077_2013-10-10_final
2013-10-11 09:20:02	ga_ls7e_ard_3-0-0_091078_2013-10-10_final
2013-10-11 09:20:26	ga_ls7e_ard_3-0-0_091079_2013-10-10_final
2013-10-11 09:20:50	ga_ls7e_ard_3-0-0_091080_2013-10-10_final
2013-10-11 09:21:14	ga_ls7e_ard_3-0-0_091081_2013-10-10_final
2013-10-11 09:21:38	ga_ls7e_ard_3-0-0_091082_2013-10-10_final
2013-10-11 09:22:02	ga_ls7e_ard_3-0-0_091083_2013-10-10_final
2013-10-11 09:22:26	ga_ls7e_ard_3-0-0_091084_2013-10-10_final
2013-10-11 09:22:50	ga_ls7e_ard_3-0-0_091085_2013-10-10_final
2013-10-11 09:23:14	ga_ls7e_ard_3-1-0_091086_2013-10-10_final
2013-10-11 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-10-10_final
2013-10-11 09:24:02	ga_ls7e_ard_3-0-0_091088_2013-10-10_final
2013-10-11 09:24:26	ga_ls7e_ard_3-0-0_091089_2013-10-10_final
2013-10-11 10:55:44	ga_ls7e_ard_3-0-0_107070_2013-10-11_final
2013-10-11 10:56:08	ga_ls7e_ard_3-0-0_107071_2013-10-11_final
2013-10-11 10:56:31	ga_ls7e_ard_3-0-0_107072_2013-10-11_final
2013-10-11 10:56:55	ga_ls7e_ard_3-0-0_107073_2013-10-11_final
2013-10-11 10:57:43	ga_ls7e_ard_3-0-0_107075_2013-10-11_final
2013-10-11 10:58:07	ga_ls7e_ard_3-0-0_107076_2013-10-11_final
2013-10-11 10:58:31	ga_ls7e_ard_3-0-0_107077_2013-10-11_final
2013-10-11 10:58:55	ga_ls7e_ard_3-0-0_107078_2013-10-11_final
2013-10-11 10:59:19	ga_ls7e_ard_3-0-0_107079_2013-10-11_final
2013-10-11 10:59:43	ga_ls7e_ard_3-0-0_107080_2013-10-11_final
2013-10-11 11:00:07	ga_ls7e_ard_3-0-0_107081_2013-10-11_final
2013-10-11 11:00:31	ga_ls7e_ard_3-0-0_107082_2013-10-11_final
2013-10-11 11:00:55	ga_ls7e_ard_3-0-0_107083_2013-10-11_final
2013-10-11 11:01:19	ga_ls7e_ard_3-0-0_107084_2013-10-11_final
2013-10-12 09:59:43	ga_ls7e_ard_3-0-0_098069_2013-10-12_final
2013-10-12 10:00:07	ga_ls7e_ard_3-0-0_098070_2013-10-12_final
2013-10-12 10:00:31	ga_ls7e_ard_3-0-0_098071_2013-10-12_final
2013-10-12 10:00:55	ga_ls7e_ard_3-0-0_098072_2013-10-12_final
2013-10-12 10:01:19	ga_ls7e_ard_3-0-0_098073_2013-10-12_final
2013-10-12 10:01:43	ga_ls7e_ard_3-0-0_098074_2013-10-12_final
2013-10-12 10:02:07	ga_ls7e_ard_3-0-0_098075_2013-10-12_final
2013-10-12 10:02:31	ga_ls7e_ard_3-0-0_098076_2013-10-12_final
2013-10-12 10:02:55	ga_ls7e_ard_3-0-0_098077_2013-10-12_final
2013-10-12 10:03:18	ga_ls7e_ard_3-0-0_098078_2013-10-12_final
2013-10-12 10:03:42	ga_ls7e_ard_3-0-0_098079_2013-10-12_final
2013-10-12 10:04:06	ga_ls7e_ard_3-0-0_098080_2013-10-12_final
2013-10-12 10:04:30	ga_ls7e_ard_3-0-0_098081_2013-10-12_final
2013-10-12 10:04:54	ga_ls7e_ard_3-0-0_098082_2013-10-12_final
2013-10-12 10:05:18	ga_ls7e_ard_3-0-0_098083_2013-10-12_final
2013-10-12 10:05:42	ga_ls7e_ard_3-0-0_098084_2013-10-12_final
2013-10-12 10:06:06	ga_ls7e_ard_3-0-0_098085_2013-10-12_final
2013-10-12 11:40:36	ga_ls7e_ard_3-0-0_114074_2013-10-12_final
2013-10-12 11:41:00	ga_ls7e_ard_3-0-0_114075_2013-10-12_final
2013-10-12 11:41:24	ga_ls7e_ard_3-0-0_114076_2013-10-12_final
2013-10-12 11:41:48	ga_ls7e_ard_3-0-0_114077_2013-10-12_final
2013-10-12 11:42:12	ga_ls7e_ard_3-0-0_114078_2013-10-12_final
2013-10-12 11:42:36	ga_ls7e_ard_3-0-0_114079_2013-10-12_final
2013-10-12 11:43:00	ga_ls7e_ard_3-0-0_114080_2013-10-12_final
2013-10-13 09:07:18	ga_ls7e_ard_3-0-0_089077_2013-10-12_final
2013-10-13 09:07:42	ga_ls7e_ard_3-0-0_089078_2013-10-12_final
2013-10-13 09:08:06	ga_ls7e_ard_3-0-0_089079_2013-10-12_final
2013-10-13 09:08:30	ga_ls7e_ard_3-0-0_089080_2013-10-12_final
2013-10-13 09:08:54	ga_ls7e_ard_3-1-0_089081_2013-10-12_final
2013-10-13 09:09:18	ga_ls7e_ard_3-0-0_089082_2013-10-12_final
2013-10-13 09:09:42	ga_ls7e_ard_3-0-0_089083_2013-10-12_final
2013-10-13 09:10:06	ga_ls7e_ard_3-0-0_089084_2013-10-12_final
2013-10-13 09:10:30	ga_ls7e_ard_3-0-0_089085_2013-10-12_final
2013-10-13 09:10:53	ga_ls7e_ard_3-0-0_089086_2013-10-12_final
2013-10-29 09:12:11	ga_ls7e_ard_3-1-0_089089_2013-10-28_final
2013-10-29 09:12:34	ga_ls7e_ard_3-0-0_089090_2013-10-28_final
2013-10-30 09:46:39	ga_ls7e_ard_3-0-0_096067_2013-10-30_final
2013-10-30 09:47:51	ga_ls7e_ard_3-0-0_096070_2013-10-30_final
2013-10-30 09:48:15	ga_ls7e_ard_3-0-0_096071_2013-10-30_final
2013-10-30 09:48:39	ga_ls7e_ard_3-0-0_096072_2013-10-30_final
2013-10-30 09:49:03	ga_ls7e_ard_3-0-0_096073_2013-10-30_final
2013-10-30 09:49:27	ga_ls7e_ard_3-0-0_096074_2013-10-30_final
2013-10-30 09:49:51	ga_ls7e_ard_3-0-0_096075_2013-10-30_final
2013-10-30 09:50:15	ga_ls7e_ard_3-0-0_096076_2013-10-30_final
2013-10-30 09:50:39	ga_ls7e_ard_3-0-0_096077_2013-10-30_final
2013-10-30 09:51:03	ga_ls7e_ard_3-0-0_096078_2013-10-30_final
2013-10-30 09:51:27	ga_ls7e_ard_3-0-0_096079_2013-10-30_final
2013-10-30 09:51:51	ga_ls7e_ard_3-0-0_096080_2013-10-30_final
2013-10-30 09:52:14	ga_ls7e_ard_3-0-0_096081_2013-10-30_final
2013-10-30 09:52:38	ga_ls7e_ard_3-0-0_096082_2013-10-30_final
2013-10-30 09:53:02	ga_ls7e_ard_3-0-0_096083_2013-10-30_final
2013-10-30 09:53:26	ga_ls7e_ard_3-0-0_096084_2013-10-30_final
2013-10-30 09:53:50	ga_ls7e_ard_3-0-0_096085_2013-10-30_final
2013-10-31 10:30:19	ga_ls7e_ard_3-0-0_103068_2013-10-31_final
2013-10-31 10:30:43	ga_ls7e_ard_3-0-0_103069_2013-10-31_final
2013-10-31 10:31:07	ga_ls7e_ard_3-0-0_103070_2013-10-31_final
2013-10-31 10:31:31	ga_ls7e_ard_3-0-0_103071_2013-10-31_final
2013-10-31 10:31:55	ga_ls7e_ard_3-0-0_103072_2013-10-31_final
2013-10-31 10:32:18	ga_ls7e_ard_3-0-0_103073_2013-10-31_final
2013-10-31 10:32:42	ga_ls7e_ard_3-0-0_103074_2013-10-31_final
2013-10-31 10:33:06	ga_ls7e_ard_3-0-0_103075_2013-10-31_final

Return to ga_ls7e_ard_3 across October 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

October

All days