Search ga_ls7e_ard_3 across May 2016

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
2016-05-05 09:24:16	ga_ls7e_ard_3-0-0_090088_2016-05-04_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2016-05-05 09:25:04	ga_ls7e_ard_3-0-0_090090_2016-05-04_final
2016-05-05 10:55:10	ga_ls7e_ard_3-0-0_106068_2016-05-05_final
2016-05-05 10:55:34	ga_ls7e_ard_3-0-0_106069_2016-05-05_final
2016-05-05 10:55:58	ga_ls7e_ard_3-0-0_106070_2016-05-05_final
2016-05-05 10:56:22	ga_ls7e_ard_3-0-0_106071_2016-05-05_final
2016-05-05 10:56:46	ga_ls7e_ard_3-0-0_106072_2016-05-05_final
2016-05-05 10:57:10	ga_ls7e_ard_3-0-0_106073_2016-05-05_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2016-05-06 11:42:02	ga_ls7e_ard_3-0-0_113077_2016-05-06_final
2016-05-06 11:42:26	ga_ls7e_ard_3-0-0_113078_2016-05-06_final
2016-05-06 11:42:50	ga_ls7e_ard_3-0-0_113079_2016-05-06_final
2016-05-06 11:43:14	ga_ls7e_ard_3-0-0_113080_2016-05-06_final
2016-05-06 11:43:38	ga_ls7e_ard_3-0-0_113081_2016-05-06_final
2016-05-06 11:44:02	ga_ls7e_ard_3-0-0_113082_2016-05-06_final
2016-05-06 11:44:25	ga_ls7e_ard_3-0-0_113083_2016-05-06_final
2016-05-07 10:42:49	ga_ls7e_ard_3-0-0_104068_2016-05-07_final
2016-05-07 10:43:13	ga_ls7e_ard_3-0-0_104069_2016-05-07_final
2016-05-07 10:43:37	ga_ls7e_ard_3-1-0_104070_2016-05-07_final
2016-05-07 10:44:01	ga_ls7e_ard_3-0-0_104071_2016-05-07_final
2016-05-07 10:44:25	ga_ls7e_ard_3-0-0_104072_2016-05-07_final
2016-05-07 10:48:24	ga_ls7e_ard_3-0-0_104082_2016-05-07_final
2016-05-08 09:46:48	ga_ls7e_ard_3-0-0_095067_2016-05-08_final
2016-05-08 09:48:48	ga_ls7e_ard_3-0-0_095072_2016-05-08_final
2016-05-08 11:25:41	ga_ls7e_ard_3-0-0_111067_2016-05-08_final
2016-05-08 11:26:05	ga_ls7e_ard_3-0-0_111068_2016-05-08_final
2016-05-08 11:28:29	ga_ls7e_ard_3-0-0_111074_2016-05-08_final
2016-05-08 11:28:53	ga_ls7e_ard_3-0-0_111075_2016-05-08_final
2016-05-08 11:29:17	ga_ls7e_ard_3-0-0_111076_2016-05-08_final
2016-05-08 11:29:40	ga_ls7e_ard_3-0-0_111077_2016-05-08_final
2016-05-08 11:30:04	ga_ls7e_ard_3-0-0_111078_2016-05-08_final
2016-05-08 11:30:28	ga_ls7e_ard_3-0-0_111079_2016-05-08_final
2016-05-08 11:30:52	ga_ls7e_ard_3-0-0_111080_2016-05-08_final
2016-05-08 11:31:16	ga_ls7e_ard_3-0-0_111081_2016-05-08_final
2016-05-08 11:31:40	ga_ls7e_ard_3-1-0_111082_2016-05-08_final
2016-05-08 11:32:04	ga_ls7e_ard_3-0-0_111083_2016-05-08_final
2016-05-08 11:32:28	ga_ls7e_ard_3-0-0_111084_2016-05-08_final
2016-05-09 10:30:28	ga_ls7e_ard_3-0-0_102068_2016-05-09_final
2016-05-09 10:30:52	ga_ls7e_ard_3-0-0_102069_2016-05-09_final
2016-05-09 10:31:16	ga_ls7e_ard_3-0-0_102070_2016-05-09_final
2016-05-09 10:31:40	ga_ls7e_ard_3-0-0_102071_2016-05-09_final
2016-05-09 10:32:04	ga_ls7e_ard_3-0-0_102072_2016-05-09_final
2016-05-09 10:34:27	ga_ls7e_ard_3-0-0_102078_2016-05-09_final
2016-05-09 10:34:51	ga_ls7e_ard_3-0-0_102079_2016-05-09_final
2016-05-10 09:37:14	ga_ls7e_ard_3-0-0_093074_2016-05-10_final
2016-05-10 09:37:38	ga_ls7e_ard_3-0-0_093075_2016-05-10_final
2016-05-10 09:38:02	ga_ls7e_ard_3-0-0_093076_2016-05-10_final
2016-05-10 09:38:26	ga_ls7e_ard_3-0-0_093077_2016-05-10_final
2016-05-10 09:38:50	ga_ls7e_ard_3-0-0_093078_2016-05-10_final
2016-05-10 09:39:14	ga_ls7e_ard_3-0-0_093079_2016-05-10_final
2016-05-10 09:39:38	ga_ls7e_ard_3-0-0_093080_2016-05-10_final
2016-05-10 09:40:02	ga_ls7e_ard_3-0-0_093081_2016-05-10_final
2016-05-10 09:42:25	ga_ls7e_ard_3-1-0_093087_2016-05-10_final
2016-05-10 09:42:49	ga_ls7e_ard_3-0-0_093088_2016-05-10_final
2016-05-10 11:14:31	ga_ls7e_ard_3-0-0_109070_2016-05-10_final
2016-05-10 11:14:55	ga_ls7e_ard_3-0-0_109071_2016-05-10_final
2016-05-10 11:16:07	ga_ls7e_ard_3-0-0_109074_2016-05-10_final
2016-05-10 11:16:31	ga_ls7e_ard_3-0-0_109075_2016-05-10_final
2016-05-10 11:16:55	ga_ls7e_ard_3-0-0_109076_2016-05-10_final
2016-05-10 11:17:19	ga_ls7e_ard_3-0-0_109077_2016-05-10_final
2016-05-10 11:17:43	ga_ls7e_ard_3-0-0_109078_2016-05-10_final
2016-05-10 11:18:07	ga_ls7e_ard_3-0-0_109079_2016-05-10_final
2016-05-10 11:18:31	ga_ls7e_ard_3-0-0_109080_2016-05-10_final
2016-05-10 11:18:55	ga_ls7e_ard_3-1-0_109081_2016-05-10_final
2016-05-10 11:19:19	ga_ls7e_ard_3-0-0_109082_2016-05-10_final
2016-05-10 11:19:43	ga_ls7e_ard_3-0-0_109083_2016-05-10_final
2016-05-10 11:20:07	ga_ls7e_ard_3-0-0_109084_2016-05-10_final
2016-05-11 10:19:18	ga_ls7e_ard_3-0-0_100071_2016-05-11_final
2016-05-11 10:21:18	ga_ls7e_ard_3-0-0_100076_2016-05-11_final
2016-05-11 10:21:42	ga_ls7e_ard_3-0-0_100077_2016-05-11_final
2016-05-11 10:22:06	ga_ls7e_ard_3-0-0_100078_2016-05-11_final
2016-05-11 10:22:30	ga_ls7e_ard_3-0-0_100079_2016-05-11_final
2016-05-11 10:22:54	ga_ls7e_ard_3-0-0_100080_2016-05-11_final
2016-05-11 10:23:18	ga_ls7e_ard_3-0-0_100081_2016-05-11_final
2016-05-12 09:26:04	ga_ls7e_ard_3-0-0_091077_2016-05-11_final
2016-05-12 09:26:28	ga_ls7e_ard_3-0-0_091078_2016-05-11_final
2016-05-12 09:26:52	ga_ls7e_ard_3-0-0_091079_2016-05-11_final
2016-05-12 09:27:16	ga_ls7e_ard_3-0-0_091080_2016-05-11_final
2016-05-12 09:27:40	ga_ls7e_ard_3-0-0_091081_2016-05-11_final
2016-05-12 09:28:04	ga_ls7e_ard_3-0-0_091082_2016-05-11_final
2016-05-12 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-05-12_final
2016-05-12 11:02:10	ga_ls7e_ard_3-0-0_107070_2016-05-12_final
2016-05-12 11:02:34	ga_ls7e_ard_3-0-0_107071_2016-05-12_final
2016-05-12 11:02:58	ga_ls7e_ard_3-0-0_107072_2016-05-12_final
2016-05-12 11:03:22	ga_ls7e_ard_3-0-0_107073_2016-05-12_final
2016-05-12 11:03:46	ga_ls7e_ard_3-0-0_107074_2016-05-12_final
2016-05-12 11:04:10	ga_ls7e_ard_3-0-0_107075_2016-05-12_final
2016-05-12 11:04:34	ga_ls7e_ard_3-0-0_107076_2016-05-12_final
2016-05-12 11:04:57	ga_ls7e_ard_3-0-0_107077_2016-05-12_final
2016-05-12 11:05:21	ga_ls7e_ard_3-0-0_107078_2016-05-12_final
2016-05-12 11:05:45	ga_ls7e_ard_3-0-0_107079_2016-05-12_final
2016-05-12 11:06:09	ga_ls7e_ard_3-0-0_107080_2016-05-12_final
2016-05-12 11:06:33	ga_ls7e_ard_3-0-0_107081_2016-05-12_final
2016-05-12 11:06:57	ga_ls7e_ard_3-0-0_107082_2016-05-12_final
2016-05-12 11:07:21	ga_ls7e_ard_3-0-0_107083_2016-05-12_final
2016-05-12 11:07:45	ga_ls7e_ard_3-0-0_107084_2016-05-12_final
2016-05-24 09:49:15	ga_ls7e_ard_3-1-0_095073_2016-05-24_final
2016-05-24 09:51:39	ga_ls7e_ard_3-1-0_095079_2016-05-24_final
2016-05-26 09:39:18	ga_ls7e_ard_3-0-0_093079_2016-05-26_final

Return to ga_ls7e_ard_3 across May 2016 overview

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

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2016

May

All days