Search ga_ls7e_ard_3 whole collection

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
2015-07-19 10:24:26	ga_ls7e_ard_3-1-0_101075_2015-07-19_final
2015-07-19 10:24:50	ga_ls7e_ard_3-0-0_101076_2015-07-19_final
2015-07-19 10:25:14	ga_ls7e_ard_3-0-0_101077_2015-07-19_final
2015-07-19 10:25:38	ga_ls7e_ard_3-0-0_101078_2015-07-19_final
2015-07-19 10:26:01	ga_ls7e_ard_3-0-0_101079_2015-07-19_final
2015-07-19 10:26:25	ga_ls7e_ard_3-0-0_101080_2015-07-19_final
2015-07-19 10:26:49	ga_ls7e_ard_3-0-0_101081_2015-07-19_final
2015-09-19 10:34:12	ga_ls7e_ard_3-0-0_103068_2015-09-19_final
2015-09-19 10:34:36	ga_ls7e_ard_3-0-0_103069_2015-09-19_final
2015-09-19 10:35:00	ga_ls7e_ard_3-0-0_103070_2015-09-19_final
2015-09-19 10:35:24	ga_ls7e_ard_3-0-0_103071_2015-09-19_final
2015-09-19 10:35:48	ga_ls7e_ard_3-0-0_103072_2015-09-19_final
2015-11-08 10:25:15	ga_ls7e_ard_3-1-0_101075_2015-11-08_final
2015-11-08 10:25:39	ga_ls7e_ard_3-0-0_101076_2015-11-08_final
2015-11-08 10:26:03	ga_ls7e_ard_3-0-0_101077_2015-11-08_final
2015-11-08 10:26:27	ga_ls7e_ard_3-0-0_101078_2015-11-08_final
2015-11-08 10:26:51	ga_ls7e_ard_3-0-0_101079_2015-11-08_final
2015-11-08 10:27:15	ga_ls7e_ard_3-0-0_101080_2015-11-08_final
2015-11-08 10:27:39	ga_ls7e_ard_3-0-0_101081_2015-11-08_final
2015-11-10 10:16:32	ga_ls7e_ard_3-0-0_099084_2015-11-10_final
2016-01-27 10:26:27	ga_ls7e_ard_3-1-0_101075_2016-01-27_final
2016-01-27 10:26:51	ga_ls7e_ard_3-0-0_101076_2016-01-27_final
2016-01-27 10:27:15	ga_ls7e_ard_3-0-0_101077_2016-01-27_final
2016-01-27 10:27:38	ga_ls7e_ard_3-0-0_101078_2016-01-27_final
2016-01-27 10:28:50	ga_ls7e_ard_3-0-0_101081_2016-01-27_final
2016-01-29 10:17:18	ga_ls7e_ard_3-0-0_099083_2016-01-29_final
2016-01-29 10:17:42	ga_ls7e_ard_3-0-0_099084_2016-01-29_final
2017-01-04 10:31:08	ga_ls7e_ard_3-0-0_102070_2017-01-04_final
2017-01-04 10:31:32	ga_ls7e_ard_3-0-0_102071_2017-01-04_final
2017-01-04 10:31:56	ga_ls7e_ard_3-0-0_102072_2017-01-04_final
2017-01-04 10:33:07	ga_ls7e_ard_3-0-0_102075_2017-01-04_final
2017-01-04 10:33:31	ga_ls7e_ard_3-0-0_102076_2017-01-04_final
2017-03-09 10:31:24	ga_ls7e_ard_3-0-0_102071_2017-03-09_final
2017-03-09 10:31:48	ga_ls7e_ard_3-0-0_102072_2017-03-09_final
2017-03-09 10:32:12	ga_ls7e_ard_3-1-0_102073_2017-03-09_final
2017-03-09 10:32:36	ga_ls7e_ard_3-0-0_102074_2017-03-09_final
2017-03-09 10:33:24	ga_ls7e_ard_3-0-0_102076_2017-03-09_final
2017-03-11 10:22:15	ga_ls7e_ard_3-0-0_100079_2017-03-11_final
2017-03-11 10:22:39	ga_ls7e_ard_3-0-0_100080_2017-03-11_final
2017-03-11 10:23:03	ga_ls7e_ard_3-0-0_100081_2017-03-11_final
2017-03-11 10:23:27	ga_ls7e_ard_3-0-0_100082_2017-03-11_final
2017-03-11 10:23:51	ga_ls7e_ard_3-0-0_100083_2017-03-11_final
2017-03-20 10:17:43	ga_ls7e_ard_3-0-0_099083_2017-03-20_final
2017-03-20 10:18:07	ga_ls7e_ard_3-0-0_099084_2017-03-20_final
2017-03-25 10:31:29	ga_ls7e_ard_3-0-0_102071_2017-03-25_final
2017-03-25 10:31:53	ga_ls7e_ard_3-0-0_102072_2017-03-25_final
2017-03-25 10:32:17	ga_ls7e_ard_3-1-0_102073_2017-03-25_final
2017-03-25 10:32:41	ga_ls7e_ard_3-0-0_102074_2017-03-25_final
2017-03-25 10:33:05	ga_ls7e_ard_3-0-0_102075_2017-03-25_final
2017-03-25 10:33:29	ga_ls7e_ard_3-0-0_102076_2017-03-25_final
2017-04-21 10:17:54	ga_ls7e_ard_3-0-0_099083_2017-04-21_final
2017-04-21 10:18:18	ga_ls7e_ard_3-0-0_099084_2017-04-21_final
2017-04-28 10:22:31	ga_ls7e_ard_3-0-0_100079_2017-04-28_final
2017-04-28 10:22:55	ga_ls7e_ard_3-0-0_100080_2017-04-28_final
2017-04-28 10:23:19	ga_ls7e_ard_3-0-0_100081_2017-04-28_final
2017-04-28 10:23:43	ga_ls7e_ard_3-0-0_100082_2017-04-28_final
2017-04-28 10:24:07	ga_ls7e_ard_3-0-0_100083_2017-04-28_final
2017-04-28 10:24:31	ga_ls7e_ard_3-0-0_100084_2017-04-28_final
2017-05-03 10:36:42	ga_ls7e_ard_3-0-0_103068_2017-05-03_final
2017-05-03 10:37:06	ga_ls7e_ard_3-0-0_103069_2017-05-03_final
2017-05-03 10:37:30	ga_ls7e_ard_3-0-0_103070_2017-05-03_final
2017-05-03 10:37:54	ga_ls7e_ard_3-0-0_103071_2017-05-03_final
2017-05-03 10:38:18	ga_ls7e_ard_3-0-0_103072_2017-05-03_final
2017-05-28 10:31:24	ga_ls7e_ard_3-0-0_102070_2017-05-28_final
2017-05-28 10:31:48	ga_ls7e_ard_3-0-0_102071_2017-05-28_final
2017-05-28 10:32:12	ga_ls7e_ard_3-0-0_102072_2017-05-28_final
2017-05-28 10:32:36	ga_ls7e_ard_3-1-0_102073_2017-05-28_final
2017-05-28 10:33:00	ga_ls7e_ard_3-0-0_102074_2017-05-28_final
2017-05-28 10:33:24	ga_ls7e_ard_3-0-0_102075_2017-05-28_final
2017-05-28 10:33:48	ga_ls7e_ard_3-0-0_102076_2017-05-28_final
2017-05-30 10:22:38	ga_ls7e_ard_3-0-0_100079_2017-05-30_final
2017-05-30 10:23:02	ga_ls7e_ard_3-0-0_100080_2017-05-30_final
2017-05-30 10:23:26	ga_ls7e_ard_3-1-0_100081_2017-05-30_final
2017-05-30 10:23:50	ga_ls7e_ard_3-0-0_100082_2017-05-30_final
2017-05-30 10:24:14	ga_ls7e_ard_3-0-0_100083_2017-05-30_final
2017-05-30 10:24:38	ga_ls7e_ard_3-0-0_100084_2017-05-30_final
2017-06-08 10:18:06	ga_ls7e_ard_3-0-0_099083_2017-06-08_final
2017-06-08 10:18:30	ga_ls7e_ard_3-0-0_099084_2017-06-08_final
2017-06-13 10:31:28	ga_ls7e_ard_3-0-0_102070_2017-06-13_final
2017-06-13 10:31:52	ga_ls7e_ard_3-0-0_102071_2017-06-13_final
2017-06-13 10:32:16	ga_ls7e_ard_3-0-0_102072_2017-06-13_final
2017-06-13 10:32:40	ga_ls7e_ard_3-1-0_102073_2017-06-13_final
2017-06-13 10:33:04	ga_ls7e_ard_3-0-0_102074_2017-06-13_final
2017-06-13 10:33:28	ga_ls7e_ard_3-0-0_102075_2017-06-13_final
2017-06-13 10:33:52	ga_ls7e_ard_3-0-0_102076_2017-06-13_final
2017-07-10 10:18:10	ga_ls7e_ard_3-0-0_099083_2017-07-10_final
2017-07-10 10:18:34	ga_ls7e_ard_3-0-0_099084_2017-07-10_final
2017-07-15 10:31:32	ga_ls7e_ard_3-0-0_102070_2017-07-15_final
2017-07-15 10:31:56	ga_ls7e_ard_3-0-0_102071_2017-07-15_final
2017-07-15 10:32:20	ga_ls7e_ard_3-0-0_102072_2017-07-15_final
2017-07-15 10:32:43	ga_ls7e_ard_3-0-0_102073_2017-07-15_final
2017-07-15 10:33:07	ga_ls7e_ard_3-0-0_102074_2017-07-15_final
2017-07-15 10:33:31	ga_ls7e_ard_3-0-0_102075_2017-07-15_final
2017-07-15 10:33:55	ga_ls7e_ard_3-0-0_102076_2017-07-15_final
2017-07-31 10:31:30	ga_ls7e_ard_3-0-0_102070_2017-07-31_final
2017-07-31 10:31:54	ga_ls7e_ard_3-0-0_102071_2017-07-31_final
2017-07-31 10:32:18	ga_ls7e_ard_3-0-0_102072_2017-07-31_final
2017-07-31 10:32:42	ga_ls7e_ard_3-1-0_102073_2017-07-31_final
2017-07-31 10:33:06	ga_ls7e_ard_3-0-0_102074_2017-07-31_final
2017-07-31 10:33:30	ga_ls7e_ard_3-0-0_102075_2017-07-31_final

Return to ga_ls7e_ard_3 whole collection 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

All years