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
2015-11-01 10:18:09	ga_ls7e_ard_3-0-0_100073_2015-11-01_final
2015-11-01 10:18:33	ga_ls7e_ard_3-0-0_100074_2015-11-01_final
2015-11-01 10:19:45	ga_ls7e_ard_3-0-0_100077_2015-11-01_final
2015-11-01 10:20:09	ga_ls7e_ard_3-0-0_100078_2015-11-01_final
2015-11-01 10:20:33	ga_ls7e_ard_3-0-0_100079_2015-11-01_final
2015-11-01 10:20:57	ga_ls7e_ard_3-0-0_100080_2015-11-01_final
2015-11-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2015-11-01_final
2015-11-01 10:21:45	ga_ls7e_ard_3-0-0_100082_2015-11-01_final
2015-11-01 10:22:09	ga_ls7e_ard_3-0-0_100083_2015-11-01_final
2015-11-01 10:22:33	ga_ls7e_ard_3-0-0_100084_2015-11-01_final
2015-11-16 09:32:46	ga_ls7e_ard_3-0-0_093067_2015-11-16_final
2015-11-16 09:35:34	ga_ls7e_ard_3-0-0_093074_2015-11-16_final
2015-11-16 09:35:58	ga_ls7e_ard_3-0-0_093075_2015-11-16_final
2015-11-16 09:36:46	ga_ls7e_ard_3-0-0_093077_2015-11-16_final
2015-11-16 09:37:10	ga_ls7e_ard_3-0-0_093078_2015-11-16_final
2015-11-16 09:37:34	ga_ls7e_ard_3-0-0_093079_2015-11-16_final
2015-11-16 09:37:58	ga_ls7e_ard_3-0-0_093080_2015-11-16_final
2015-11-16 09:38:22	ga_ls7e_ard_3-0-0_093081_2015-11-16_final
2015-11-16 09:38:46	ga_ls7e_ard_3-0-0_093082_2015-11-16_final
2015-11-16 09:39:09	ga_ls7e_ard_3-1-0_093083_2015-11-16_final
2015-11-16 09:39:33	ga_ls7e_ard_3-0-0_093084_2015-11-16_final
2015-11-16 09:39:57	ga_ls7e_ard_3-0-0_093085_2015-11-16_final
2015-11-16 09:40:21	ga_ls7e_ard_3-0-0_093086_2015-11-16_final
2015-11-16 09:40:45	ga_ls7e_ard_3-1-0_093087_2015-11-16_final
2015-11-16 09:41:09	ga_ls7e_ard_3-0-0_093088_2015-11-16_final
2015-11-16 11:12:51	ga_ls7e_ard_3-0-0_109070_2015-11-16_final
2015-11-16 11:13:15	ga_ls7e_ard_3-0-0_109071_2015-11-16_final
2015-11-16 11:13:39	ga_ls7e_ard_3-0-0_109072_2015-11-16_final
2015-11-16 11:14:03	ga_ls7e_ard_3-0-0_109073_2015-11-16_final
2015-11-16 11:14:27	ga_ls7e_ard_3-0-0_109074_2015-11-16_final
2015-11-16 11:14:51	ga_ls7e_ard_3-0-0_109075_2015-11-16_final
2015-11-16 11:15:15	ga_ls7e_ard_3-0-0_109076_2015-11-16_final
2015-11-16 11:15:39	ga_ls7e_ard_3-0-0_109077_2015-11-16_final
2015-11-16 11:16:03	ga_ls7e_ard_3-0-0_109078_2015-11-16_final
2015-11-16 11:16:27	ga_ls7e_ard_3-0-0_109079_2015-11-16_final
2015-11-16 11:16:51	ga_ls7e_ard_3-0-0_109080_2015-11-16_final
2015-11-16 11:17:15	ga_ls7e_ard_3-1-0_109081_2015-11-16_final
2015-11-16 11:17:39	ga_ls7e_ard_3-0-0_109082_2015-11-16_final
2015-11-16 11:18:03	ga_ls7e_ard_3-0-0_109083_2015-11-16_final
2015-11-16 11:18:27	ga_ls7e_ard_3-0-0_109084_2015-11-16_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

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

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

2015

November

All days