Search ga_ls7e_ard_3 across November 2015

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
2015-11-02 09:28:32	ga_ls7e_ard_3-0-0_091088_2015-11-01_final
2015-11-02 09:28:56	ga_ls7e_ard_3-0-0_091089_2015-11-01_final
2015-11-04 09:12:12	ga_ls7e_ard_3-0-0_089078_2015-11-03_final
2015-11-04 09:12:36	ga_ls7e_ard_3-0-0_089079_2015-11-03_final
2015-11-04 09:16:35	ga_ls7e_ard_3-0-0_089089_2015-11-03_final
2015-11-17 10:17:39	ga_ls7e_ard_3-0-0_100071_2015-11-17_final
2015-11-17 10:18:03	ga_ls7e_ard_3-0-0_100072_2015-11-17_final
2015-11-17 10:18:27	ga_ls7e_ard_3-0-0_100073_2015-11-17_final
2015-11-17 10:18:51	ga_ls7e_ard_3-0-0_100074_2015-11-17_final
2015-11-17 10:19:15	ga_ls7e_ard_3-0-0_100075_2015-11-17_final
2015-11-17 10:19:39	ga_ls7e_ard_3-0-0_100076_2015-11-17_final
2015-11-17 10:20:02	ga_ls7e_ard_3-0-0_100077_2015-11-17_final
2015-11-17 10:20:26	ga_ls7e_ard_3-0-0_100078_2015-11-17_final
2015-11-17 10:20:50	ga_ls7e_ard_3-0-0_100079_2015-11-17_final
2015-11-17 10:21:14	ga_ls7e_ard_3-0-0_100080_2015-11-17_final
2015-11-17 10:21:38	ga_ls7e_ard_3-0-0_100081_2015-11-17_final
2015-11-17 10:22:02	ga_ls7e_ard_3-0-0_100082_2015-11-17_final
2015-11-17 10:22:26	ga_ls7e_ard_3-0-0_100083_2015-11-17_final
2015-11-17 10:22:50	ga_ls7e_ard_3-0-0_100084_2015-11-17_final
2015-11-18 09:24:02	ga_ls7e_ard_3-0-0_091076_2015-11-17_final
2015-11-18 09:24:26	ga_ls7e_ard_3-0-0_091077_2015-11-17_final
2015-11-18 09:24:50	ga_ls7e_ard_3-0-0_091078_2015-11-17_final
2015-11-18 09:25:14	ga_ls7e_ard_3-0-0_091079_2015-11-17_final
2015-11-18 09:25:38	ga_ls7e_ard_3-0-0_091080_2015-11-17_final
2015-11-18 09:26:02	ga_ls7e_ard_3-0-0_091081_2015-11-17_final
2015-11-18 09:26:26	ga_ls7e_ard_3-0-0_091082_2015-11-17_final
2015-11-18 09:26:50	ga_ls7e_ard_3-0-0_091083_2015-11-17_final
2015-11-18 09:27:14	ga_ls7e_ard_3-0-0_091084_2015-11-17_final
2015-11-18 09:27:38	ga_ls7e_ard_3-0-0_091085_2015-11-17_final
2015-11-18 09:28:02	ga_ls7e_ard_3-1-0_091086_2015-11-17_final
2015-11-18 09:28:26	ga_ls7e_ard_3-0-0_091087_2015-11-17_final
2015-11-18 09:28:50	ga_ls7e_ard_3-0-0_091088_2015-11-17_final
2015-11-18 09:29:13	ga_ls7e_ard_3-0-0_091089_2015-11-17_final
2015-11-18 11:00:32	ga_ls7e_ard_3-0-0_107070_2015-11-18_final
2015-11-18 11:00:56	ga_ls7e_ard_3-0-0_107071_2015-11-18_final
2015-11-18 11:01:19	ga_ls7e_ard_3-0-0_107072_2015-11-18_final
2015-11-18 11:01:43	ga_ls7e_ard_3-0-0_107073_2015-11-18_final
2015-11-18 11:02:07	ga_ls7e_ard_3-0-0_107074_2015-11-18_final
2015-11-18 11:02:31	ga_ls7e_ard_3-0-0_107075_2015-11-18_final
2015-11-18 11:02:55	ga_ls7e_ard_3-0-0_107076_2015-11-18_final
2015-11-18 11:03:19	ga_ls7e_ard_3-0-0_107077_2015-11-18_final
2015-11-18 11:03:43	ga_ls7e_ard_3-0-0_107078_2015-11-18_final
2015-11-18 11:04:07	ga_ls7e_ard_3-0-0_107079_2015-11-18_final
2015-11-18 11:04:31	ga_ls7e_ard_3-0-0_107080_2015-11-18_final
2015-11-18 11:05:43	ga_ls7e_ard_3-0-0_107083_2015-11-18_final
2015-11-18 11:06:07	ga_ls7e_ard_3-0-0_107084_2015-11-18_final
2015-11-19 10:03:43	ga_ls7e_ard_3-0-0_098067_2015-11-19_final
2015-11-19 10:04:07	ga_ls7e_ard_3-0-0_098068_2015-11-19_final
2015-11-19 10:04:31	ga_ls7e_ard_3-0-0_098069_2015-11-19_final
2015-11-19 10:04:55	ga_ls7e_ard_3-0-0_098070_2015-11-19_final
2015-11-19 10:05:19	ga_ls7e_ard_3-0-0_098071_2015-11-19_final
2015-11-19 10:05:43	ga_ls7e_ard_3-0-0_098072_2015-11-19_final
2015-11-19 10:06:07	ga_ls7e_ard_3-0-0_098073_2015-11-19_final
2015-11-19 10:06:31	ga_ls7e_ard_3-0-0_098074_2015-11-19_final
2015-11-19 10:06:55	ga_ls7e_ard_3-0-0_098075_2015-11-19_final
2015-11-19 10:07:19	ga_ls7e_ard_3-0-0_098076_2015-11-19_final
2015-11-19 10:07:43	ga_ls7e_ard_3-0-0_098077_2015-11-19_final
2015-11-19 10:08:07	ga_ls7e_ard_3-0-0_098078_2015-11-19_final
2015-11-19 10:08:31	ga_ls7e_ard_3-0-0_098079_2015-11-19_final
2015-11-19 10:08:55	ga_ls7e_ard_3-1-0_098080_2015-11-19_final
2015-11-19 10:09:18	ga_ls7e_ard_3-0-0_098081_2015-11-19_final
2015-11-19 10:09:42	ga_ls7e_ard_3-0-0_098082_2015-11-19_final
2015-11-19 10:10:06	ga_ls7e_ard_3-0-0_098083_2015-11-19_final
2015-11-19 10:10:30	ga_ls7e_ard_3-0-0_098084_2015-11-19_final
2015-11-19 10:10:54	ga_ls7e_ard_3-0-0_098085_2015-11-19_final
2015-11-19 11:42:36	ga_ls7e_ard_3-0-0_114067_2015-11-19_final
2015-11-19 11:45:24	ga_ls7e_ard_3-0-0_114074_2015-11-19_final
2015-11-19 11:45:48	ga_ls7e_ard_3-0-0_114075_2015-11-19_final
2015-11-19 11:46:12	ga_ls7e_ard_3-0-0_114076_2015-11-19_final
2015-11-19 11:46:36	ga_ls7e_ard_3-0-0_114077_2015-11-19_final
2015-11-19 11:47:00	ga_ls7e_ard_3-0-0_114078_2015-11-19_final
2015-11-19 11:47:24	ga_ls7e_ard_3-0-0_114079_2015-11-19_final
2015-11-19 11:47:48	ga_ls7e_ard_3-0-0_114080_2015-11-19_final
2015-11-20 09:12:06	ga_ls7e_ard_3-0-0_089077_2015-11-19_final
2015-11-20 09:12:30	ga_ls7e_ard_3-0-0_089078_2015-11-19_final
2015-11-20 09:12:54	ga_ls7e_ard_3-0-0_089079_2015-11-19_final
2015-11-20 09:13:18	ga_ls7e_ard_3-0-0_089080_2015-11-19_final
2015-11-20 09:13:42	ga_ls7e_ard_3-1-0_089081_2015-11-19_final
2015-11-20 09:14:06	ga_ls7e_ard_3-0-0_089082_2015-11-19_final
2015-11-20 09:14:30	ga_ls7e_ard_3-0-0_089083_2015-11-19_final
2015-11-20 09:14:54	ga_ls7e_ard_3-0-0_089084_2015-11-19_final
2015-11-20 09:15:18	ga_ls7e_ard_3-0-0_089085_2015-11-19_final
2015-11-20 09:15:42	ga_ls7e_ard_3-1-0_089086_2015-11-19_final
2015-11-20 09:16:54	ga_ls7e_ard_3-1-0_089089_2015-11-19_final
2015-11-20 09:17:18	ga_ls7e_ard_3-0-0_089090_2015-11-19_final
2015-11-20 10:47:24	ga_ls7e_ard_3-0-0_105068_2015-11-20_final
2015-11-20 10:47:48	ga_ls7e_ard_3-0-0_105069_2015-11-20_final
2015-11-20 10:48:12	ga_ls7e_ard_3-0-0_105070_2015-11-20_final
2015-11-20 10:48:36	ga_ls7e_ard_3-0-0_105071_2015-11-20_final
2015-11-20 10:49:00	ga_ls7e_ard_3-0-0_105072_2015-11-20_final
2015-11-20 10:49:23	ga_ls7e_ard_3-0-0_105073_2015-11-20_final
2015-11-20 10:49:47	ga_ls7e_ard_3-0-0_105074_2015-11-20_final
2015-11-20 10:50:11	ga_ls7e_ard_3-0-0_105075_2015-11-20_final
2015-11-20 10:50:35	ga_ls7e_ard_3-0-0_105076_2015-11-20_final
2015-11-20 10:50:59	ga_ls7e_ard_3-0-0_105077_2015-11-20_final
2015-11-20 10:51:23	ga_ls7e_ard_3-0-0_105078_2015-11-20_final
2015-11-20 10:51:47	ga_ls7e_ard_3-0-0_105079_2015-11-20_final
2015-11-20 10:52:11	ga_ls7e_ard_3-1-0_105080_2015-11-20_final
2015-11-20 10:52:35	ga_ls7e_ard_3-0-0_105081_2015-11-20_final
2015-11-20 10:52:59	ga_ls7e_ard_3-0-0_105082_2015-11-20_final

Return to ga_ls7e_ard_3 across November 2015 overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2015

November

All days