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
2015-07-20 11:07:41	ga_ls7e_ard_3-1-0_108075_2015-07-20_final
2015-07-21 10:12:04	ga_ls7e_ard_3-0-0_099075_2015-07-21_final
2015-07-22 10:55:20	ga_ls7e_ard_3-1-0_106075_2015-07-22_final
2015-07-23 09:59:43	ga_ls7e_ard_3-0-0_097075_2015-07-23_final
2015-07-23 11:38:36	ga_ls7e_ard_3-0-0_113075_2015-07-23_final
2015-08-14 11:01:36	ga_ls7e_ard_3-0-0_107075_2015-08-14_final
2015-08-15 10:05:59	ga_ls7e_ard_3-0-0_098075_2015-08-15_final
2015-08-15 11:44:52	ga_ls7e_ard_3-0-0_114075_2015-08-15_final
2015-08-16 10:49:15	ga_ls7e_ard_3-0-0_105075_2015-08-16_final
2015-08-17 09:53:38	ga_ls7e_ard_3-0-0_096075_2015-08-17_final
2015-08-17 11:32:31	ga_ls7e_ard_3-0-0_112075_2015-08-17_final
2015-09-07 10:12:12	ga_ls7e_ard_3-0-0_099075_2015-09-07_final
2015-09-07 11:51:05	ga_ls7e_ard_3-0-0_115075_2015-09-07_final
2015-09-08 10:55:28	ga_ls7e_ard_3-1-0_106075_2015-09-08_final
2015-09-15 11:01:41	ga_ls7e_ard_3-0-0_107075_2015-09-15_final
2015-09-16 10:06:04	ga_ls7e_ard_3-0-0_098075_2015-09-16_final
2015-09-16 11:44:58	ga_ls7e_ard_3-0-0_114075_2015-09-16_final
2015-09-17 10:49:20	ga_ls7e_ard_3-0-0_105075_2015-09-17_final
2015-09-18 09:53:43	ga_ls7e_ard_3-0-0_096075_2015-09-18_final
2015-09-18 11:32:36	ga_ls7e_ard_3-0-0_112075_2015-09-18_final
2015-09-19 10:36:59	ga_ls7e_ard_3-0-0_103075_2015-09-19_final
2015-11-07 11:20:51	ga_ls7e_ard_3-0-0_110075_2015-11-07_final
2015-11-08 10:25:15	ga_ls7e_ard_3-1-0_101075_2015-11-08_final
2015-11-09 09:29:39	ga_ls7e_ard_3-0-0_092075_2015-11-08_final
2015-11-09 11:08:32	ga_ls7e_ard_3-0-0_108075_2015-11-09_final
2015-11-10 10:12:56	ga_ls7e_ard_3-0-0_099075_2015-11-10_final
2015-11-10 11:51:49	ga_ls7e_ard_3-0-0_115075_2015-11-10_final
2015-11-11 10:56:13	ga_ls7e_ard_3-1-0_106075_2015-11-11_final
2015-11-12 10:00:37	ga_ls7e_ard_3-0-0_097075_2015-11-12_final
2015-12-07 11:33:42	ga_ls7e_ard_3-0-0_112075_2015-12-07_final
2015-12-08 10:38:05	ga_ls7e_ard_3-0-0_103075_2015-12-08_final
2015-12-09 09:42:29	ga_ls7e_ard_3-0-0_094075_2015-12-09_final
2015-12-09 11:21:22	ga_ls7e_ard_3-0-0_110075_2015-12-09_final
2015-12-10 10:25:46	ga_ls7e_ard_3-1-0_101075_2015-12-10_final
2015-12-11 09:30:10	ga_ls7e_ard_3-1-0_092075_2015-12-11_final
2015-12-11 11:09:03	ga_ls7e_ard_3-0-0_108075_2015-12-11_final
2016-01-26 11:22:03	ga_ls7e_ard_3-0-0_110075_2016-01-26_final
2016-01-27 10:26:27	ga_ls7e_ard_3-1-0_101075_2016-01-27_final
2016-01-28 09:30:50	ga_ls7e_ard_3-0-0_092075_2016-01-28_final
2016-01-29 10:14:06	ga_ls7e_ard_3-0-0_099075_2016-01-29_final
2017-01-01 11:41:08	ga_ls7e_ard_3-0-0_113075_2017-01-01_final
2017-01-02 10:45:30	ga_ls7e_ard_3-0-0_104075_2017-01-02_final
2017-01-03 09:49:52	ga_ls7e_ard_3-0-0_095075_2017-01-03_final
2017-01-03 11:28:45	ga_ls7e_ard_3-0-0_111075_2017-01-03_final
2017-01-04 10:33:07	ga_ls7e_ard_3-0-0_102075_2017-01-04_final
2017-01-05 09:37:30	ga_ls7e_ard_3-0-0_093075_2017-01-05_final
2017-03-06 11:40:58	ga_ls7e_ard_3-0-0_113075_2017-03-06_final
2017-03-08 11:28:37	ga_ls7e_ard_3-0-0_111075_2017-03-08_final
2017-03-10 09:37:23	ga_ls7e_ard_3-0-0_093075_2017-03-10_final
2017-03-11 10:20:39	ga_ls7e_ard_3-0-0_100075_2017-03-11_final
2017-03-20 10:14:31	ga_ls7e_ard_3-0-0_099075_2017-03-20_final
2017-03-20 11:53:24	ga_ls7e_ard_3-0-0_115075_2017-03-20_final
2017-03-21 10:57:47	ga_ls7e_ard_3-1-0_106075_2017-03-21_final
2017-03-22 10:02:10	ga_ls7e_ard_3-0-0_097075_2017-03-22_final
2017-03-23 10:45:26	ga_ls7e_ard_3-0-0_104075_2017-03-23_final
2017-03-25 10:33:05	ga_ls7e_ard_3-0-0_102075_2017-03-25_final
2017-04-21 10:14:42	ga_ls7e_ard_3-0-0_099075_2017-04-21_final
2017-04-21 11:53:35	ga_ls7e_ard_3-0-0_115075_2017-04-21_final
2017-04-22 10:57:58	ga_ls7e_ard_3-1-0_106075_2017-04-22_final
2017-04-23 10:02:22	ga_ls7e_ard_3-0-0_097075_2017-04-23_final
2017-04-23 11:41:15	ga_ls7e_ard_3-0-0_113075_2017-04-23_final
2017-04-28 10:20:56	ga_ls7e_ard_3-0-0_100075_2017-04-28_final
2017-04-29 11:04:12	ga_ls7e_ard_3-0-0_107075_2017-04-29_final
2017-04-30 10:08:35	ga_ls7e_ard_3-0-0_098075_2017-04-30_final
2017-04-30 11:47:28	ga_ls7e_ard_3-0-0_114075_2017-04-30_final
2017-05-01 10:51:51	ga_ls7e_ard_3-0-0_105075_2017-05-01_final
2017-05-02 09:56:13	ga_ls7e_ard_3-0-0_096075_2017-05-02_final
2017-05-02 11:35:07	ga_ls7e_ard_3-0-0_112075_2017-05-02_final
2017-05-03 10:39:29	ga_ls7e_ard_3-0-0_103075_2017-05-03_final
2017-05-04 09:43:52	ga_ls7e_ard_3-0-0_094075_2017-05-04_final
2017-05-27 11:29:01	ga_ls7e_ard_3-0-0_111075_2017-05-27_final
2017-05-28 10:33:24	ga_ls7e_ard_3-0-0_102075_2017-05-28_final
2017-05-29 09:37:47	ga_ls7e_ard_3-0-0_093075_2017-05-29_final
2017-05-29 11:16:40	ga_ls7e_ard_3-0-0_109075_2017-05-29_final
2017-05-30 10:21:03	ga_ls7e_ard_3-0-0_100075_2017-05-30_final
2017-05-31 11:04:19	ga_ls7e_ard_3-0-0_107075_2017-05-31_final
2017-06-08 10:14:54	ga_ls7e_ard_3-0-0_099075_2017-06-08_final
2017-06-08 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-06-08_final
2017-06-09 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-06-09_final
2017-06-10 10:02:33	ga_ls7e_ard_3-0-0_097075_2017-06-10_final
2017-06-10 11:41:26	ga_ls7e_ard_3-0-0_113075_2017-06-10_final
2017-06-11 10:45:49	ga_ls7e_ard_3-0-0_104075_2017-06-11_final
2017-06-12 09:50:12	ga_ls7e_ard_3-0-0_095075_2017-06-12_final
2017-06-12 11:29:05	ga_ls7e_ard_3-0-0_111075_2017-06-12_final
2017-06-13 10:33:28	ga_ls7e_ard_3-0-0_102075_2017-06-13_final
2017-07-10 10:14:59	ga_ls7e_ard_3-0-0_099075_2017-07-10_final
2017-07-10 11:53:52	ga_ls7e_ard_3-0-0_115075_2017-07-10_final
2017-07-11 10:58:15	ga_ls7e_ard_3-1-0_106075_2017-07-11_final
2017-07-12 10:02:37	ga_ls7e_ard_3-0-0_097075_2017-07-12_final
2017-07-12 11:41:30	ga_ls7e_ard_3-0-0_113075_2017-07-12_final
2017-07-13 10:45:53	ga_ls7e_ard_3-0-0_104075_2017-07-13_final
2017-07-14 09:50:16	ga_ls7e_ard_3-0-0_095075_2017-07-14_final
2017-07-14 11:29:09	ga_ls7e_ard_3-0-0_111075_2017-07-14_final
2017-07-15 10:33:31	ga_ls7e_ard_3-0-0_102075_2017-07-15_final
2017-07-16 09:37:54	ga_ls7e_ard_3-0-0_093075_2017-07-16_final
2017-07-29 10:45:52	ga_ls7e_ard_3-0-0_104075_2017-07-29_final
2017-07-30 09:50:15	ga_ls7e_ard_3-0-0_095075_2017-07-30_final
2017-07-30 11:29:08	ga_ls7e_ard_3-0-0_111075_2017-07-30_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