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 10:23:38	ga_ls7e_ard_3-0-0_101073_2015-07-19_final
2015-07-20 11:06:54	ga_ls7e_ard_3-0-0_108073_2015-07-20_final
2015-07-21 10:11:16	ga_ls7e_ard_3-0-0_099073_2015-07-21_final
2015-07-22 10:54:32	ga_ls7e_ard_3-0-0_106073_2015-07-22_final
2015-07-23 09:58:55	ga_ls7e_ard_3-0-0_097073_2015-07-23_final
2015-08-14 11:00:48	ga_ls7e_ard_3-0-0_107073_2015-08-14_final
2015-08-15 10:05:11	ga_ls7e_ard_3-0-0_098073_2015-08-15_final
2015-08-16 10:48:27	ga_ls7e_ard_3-0-0_105073_2015-08-16_final
2015-08-17 09:52:50	ga_ls7e_ard_3-0-0_096073_2015-08-17_final
2015-09-07 10:11:24	ga_ls7e_ard_3-0-0_099073_2015-09-07_final
2015-09-08 10:54:40	ga_ls7e_ard_3-0-0_106073_2015-09-08_final
2015-09-15 11:00:54	ga_ls7e_ard_3-0-0_107073_2015-09-15_final
2015-09-16 10:05:17	ga_ls7e_ard_3-0-0_098073_2015-09-16_final
2015-09-16 10:05:40	ga_ls7e_ard_3-0-0_098074_2015-09-16_final
2015-09-17 10:48:33	ga_ls7e_ard_3-0-0_105073_2015-09-17_final
2015-09-18 09:52:55	ga_ls7e_ard_3-0-0_096073_2015-09-18_final
2015-09-19 10:36:11	ga_ls7e_ard_3-0-0_103073_2015-09-19_final
2015-09-22 11:07:06	ga_ls7e_ard_3-0-0_108073_2015-09-22_final
2015-09-23 10:11:29	ga_ls7e_ard_3-0-0_099073_2015-09-23_final
2015-10-22 09:40:57	ga_ls7e_ard_3-0-0_094073_2015-10-22_final
2015-10-22 11:19:50	ga_ls7e_ard_3-0-0_110073_2015-10-22_final
2015-10-22 11:20:14	ga_ls7e_ard_3-0-0_110074_2015-10-22_final
2015-10-23 10:24:13	ga_ls7e_ard_3-0-0_101073_2015-10-23_final
2015-10-23 10:24:37	ga_ls7e_ard_3-0-0_101074_2015-10-23_final
2015-10-24 11:07:30	ga_ls7e_ard_3-0-0_108073_2015-10-24_final
2015-10-24 11:07:54	ga_ls7e_ard_3-0-0_108074_2015-10-24_final
2015-10-25 10:11:53	ga_ls7e_ard_3-0-0_099073_2015-10-25_final
2015-10-26 10:55:10	ga_ls7e_ard_3-0-0_106073_2015-10-26_final
2015-10-26 10:55:34	ga_ls7e_ard_3-0-0_106074_2015-10-26_final
2015-11-07 11:20:04	ga_ls7e_ard_3-0-0_110073_2015-11-07_final
2015-11-08 10:24:27	ga_ls7e_ard_3-0-0_101073_2015-11-08_final
2015-11-09 11:07:44	ga_ls7e_ard_3-0-0_108073_2015-11-09_final
2015-11-10 10:12:08	ga_ls7e_ard_3-0-0_099073_2015-11-10_final
2015-11-10 11:51:25	ga_ls7e_ard_3-0-0_115074_2015-11-10_final
2015-11-11 10:55:25	ga_ls7e_ard_3-0-0_106073_2015-11-11_final
2015-11-12 09:59:49	ga_ls7e_ard_3-0-0_097073_2015-11-12_final
2015-12-07 11:33:18	ga_ls7e_ard_3-0-0_112074_2015-12-07_final
2015-12-08 10:37:18	ga_ls7e_ard_3-0-0_103073_2015-12-08_final
2015-12-09 09:41:41	ga_ls7e_ard_3-0-0_094073_2015-12-09_final
2015-12-09 11:20:34	ga_ls7e_ard_3-0-0_110073_2015-12-09_final
2015-12-09 11:20:58	ga_ls7e_ard_3-0-0_110074_2015-12-09_final
2015-12-10 10:24:58	ga_ls7e_ard_3-0-0_101073_2015-12-10_final
2015-12-11 11:08:15	ga_ls7e_ard_3-0-0_108073_2015-12-11_final
2015-12-11 11:08:39	ga_ls7e_ard_3-0-0_108074_2015-12-11_final
2016-01-26 11:21:16	ga_ls7e_ard_3-0-0_110073_2016-01-26_final
2016-01-27 10:25:39	ga_ls7e_ard_3-0-0_101073_2016-01-27_final
2016-01-28 11:08:55	ga_ls7e_ard_3-0-0_108073_2016-01-28_final
2016-01-29 10:13:18	ga_ls7e_ard_3-0-0_099073_2016-01-29_final
2016-06-05 10:14:26	ga_ls7e_ard_3-0-0_099074_2016-06-05_final
2017-01-03 09:49:05	ga_ls7e_ard_3-1-0_095073_2017-01-03_final
2017-01-03 09:49:28	ga_ls7e_ard_3-0-0_095074_2017-01-03_final
2017-01-03 11:27:58	ga_ls7e_ard_3-0-0_111073_2017-01-03_final
2017-03-06 11:40:34	ga_ls7e_ard_3-0-0_113074_2017-03-06_final
2017-03-08 09:48:56	ga_ls7e_ard_3-1-0_095073_2017-03-08_final
2017-03-08 11:27:49	ga_ls7e_ard_3-0-0_111073_2017-03-08_final
2017-03-09 10:32:12	ga_ls7e_ard_3-1-0_102073_2017-03-09_final
2017-03-10 11:15:28	ga_ls7e_ard_3-0-0_109073_2017-03-10_final
2017-03-10 11:15:52	ga_ls7e_ard_3-0-0_109074_2017-03-10_final
2017-03-11 10:19:51	ga_ls7e_ard_3-0-0_100073_2017-03-11_final
2017-03-20 10:13:43	ga_ls7e_ard_3-0-0_099073_2017-03-20_final
2017-03-21 10:56:59	ga_ls7e_ard_3-0-0_106073_2017-03-21_final
2017-03-21 10:57:23	ga_ls7e_ard_3-0-0_106074_2017-03-21_final
2017-03-22 10:01:22	ga_ls7e_ard_3-0-0_097073_2017-03-22_final
2017-03-23 10:44:38	ga_ls7e_ard_3-0-0_104073_2017-03-23_final
2017-03-25 10:32:17	ga_ls7e_ard_3-1-0_102073_2017-03-25_final
2017-04-21 10:13:54	ga_ls7e_ard_3-0-0_099073_2017-04-21_final
2017-04-21 10:14:18	ga_ls7e_ard_3-0-0_099074_2017-04-21_final
2017-04-22 10:57:11	ga_ls7e_ard_3-0-0_106073_2017-04-22_final
2017-04-23 10:01:34	ga_ls7e_ard_3-0-0_097073_2017-04-23_final
2017-04-28 10:20:08	ga_ls7e_ard_3-0-0_100073_2017-04-28_final
2017-04-29 11:03:24	ga_ls7e_ard_3-0-0_107073_2017-04-29_final
2017-04-30 10:07:47	ga_ls7e_ard_3-0-0_098073_2017-04-30_final
2017-05-02 09:55:26	ga_ls7e_ard_3-0-0_096073_2017-05-02_final
2017-05-03 10:38:42	ga_ls7e_ard_3-0-0_103073_2017-05-03_final
2017-05-04 09:43:04	ga_ls7e_ard_3-0-0_094073_2017-05-04_final
2017-05-27 11:28:13	ga_ls7e_ard_3-0-0_111073_2017-05-27_final
2017-05-28 10:32:36	ga_ls7e_ard_3-1-0_102073_2017-05-28_final
2017-05-29 11:15:52	ga_ls7e_ard_3-0-0_109073_2017-05-29_final
2017-05-30 10:20:15	ga_ls7e_ard_3-0-0_100073_2017-05-30_final
2017-05-31 11:03:31	ga_ls7e_ard_3-0-0_107073_2017-05-31_final
2017-06-08 10:14:07	ga_ls7e_ard_3-0-0_099073_2017-06-08_final
2017-06-09 10:57:23	ga_ls7e_ard_3-0-0_106073_2017-06-09_final
2017-06-10 10:01:46	ga_ls7e_ard_3-0-0_097073_2017-06-10_final
2017-06-11 10:45:01	ga_ls7e_ard_3-0-0_104073_2017-06-11_final
2017-06-12 09:49:24	ga_ls7e_ard_3-1-0_095073_2017-06-12_final
2017-06-12 11:28:17	ga_ls7e_ard_3-0-0_111073_2017-06-12_final
2017-06-13 10:32:40	ga_ls7e_ard_3-1-0_102073_2017-06-13_final
2017-07-10 10:14:11	ga_ls7e_ard_3-0-0_099073_2017-07-10_final
2017-07-10 11:53:28	ga_ls7e_ard_3-0-0_115074_2017-07-10_final
2017-07-11 10:57:27	ga_ls7e_ard_3-0-0_106073_2017-07-11_final
2017-07-12 10:01:49	ga_ls7e_ard_3-0-0_097073_2017-07-12_final
2017-07-12 11:41:06	ga_ls7e_ard_3-0-0_113074_2017-07-12_final
2017-07-13 10:45:05	ga_ls7e_ard_3-0-0_104073_2017-07-13_final
2017-07-14 09:49:28	ga_ls7e_ard_3-1-0_095073_2017-07-14_final
2017-07-14 11:28:21	ga_ls7e_ard_3-0-0_111073_2017-07-14_final
2017-07-15 10:32:43	ga_ls7e_ard_3-0-0_102073_2017-07-15_final
2017-07-29 10:45:04	ga_ls7e_ard_3-0-0_104073_2017-07-29_final
2017-07-30 09:49:27	ga_ls7e_ard_3-1-0_095073_2017-07-30_final
2017-07-30 11:28:20	ga_ls7e_ard_3-0-0_111073_2017-07-30_final
2017-07-31 10:32:42	ga_ls7e_ard_3-1-0_102073_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