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
2014-09-04 11:50:27	ga_ls7e_ard_3-0-0_115079_2014-09-04_final
2014-10-06 11:50:43	ga_ls7e_ard_3-0-0_115079_2014-10-06_final
2014-10-22 11:50:52	ga_ls7e_ard_3-0-0_115079_2014-10-22_final
2014-11-23 11:51:05	ga_ls7e_ard_3-0-0_115079_2014-11-23_final
2014-12-25 11:51:20	ga_ls7e_ard_3-0-0_115079_2014-12-25_final
2015-01-10 11:51:22	ga_ls7e_ard_3-0-0_115079_2015-01-10_final
2015-01-26 11:51:25	ga_ls7e_ard_3-0-0_115079_2015-01-26_final
2015-02-27 11:51:39	ga_ls7e_ard_3-0-0_115079_2015-02-27_final
2015-03-15 11:51:45	ga_ls7e_ard_3-0-0_115079_2015-03-15_final
2015-04-16 11:52:01	ga_ls7e_ard_3-0-0_115079_2015-04-16_final
2015-05-02 11:52:07	ga_ls7e_ard_3-0-0_115079_2015-05-02_final
2015-05-18 11:52:15	ga_ls7e_ard_3-0-0_115079_2015-05-18_final
2015-06-03 11:52:20	ga_ls7e_ard_3-0-0_115079_2015-06-03_final
2015-06-19 11:52:25	ga_ls7e_ard_3-0-0_115079_2015-06-19_final
2015-07-05 11:52:29	ga_ls7e_ard_3-0-0_115079_2015-07-05_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2015-08-06 11:52:37	ga_ls7e_ard_3-0-0_115079_2015-08-06_final
2015-08-22 11:52:39	ga_ls7e_ard_3-0-0_115079_2015-08-22_final
2015-09-07 11:52:41	ga_ls7e_ard_3-0-0_115079_2015-09-07_final
2015-09-23 11:52:46	ga_ls7e_ard_3-0-0_115079_2015-09-23_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2015-11-10 11:53:25	ga_ls7e_ard_3-0-0_115079_2015-11-10_final
2015-11-26 11:53:40	ga_ls7e_ard_3-0-0_115079_2015-11-26_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2016-01-13 11:54:24	ga_ls7e_ard_3-0-0_115079_2016-01-13_final
2016-01-29 11:54:35	ga_ls7e_ard_3-0-0_115079_2016-01-29_final
2016-02-14 11:54:40	ga_ls7e_ard_3-0-0_115079_2016-02-14_final
2016-03-01 11:54:45	ga_ls7e_ard_3-0-0_115079_2016-03-01_final
2016-03-17 11:54:54	ga_ls7e_ard_3-0-0_115079_2016-03-17_final
2016-04-02 11:54:58	ga_ls7e_ard_3-0-0_115079_2016-04-02_final
2016-04-18 11:55:05	ga_ls7e_ard_3-0-0_115079_2016-04-18_final
2016-05-04 11:55:11	ga_ls7e_ard_3-0-0_115079_2016-05-04_final
2016-07-07 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-07-07_final
2016-07-23 11:55:24	ga_ls7e_ard_3-0-0_115079_2016-07-23_final
2016-08-08 11:55:25	ga_ls7e_ard_3-0-0_115079_2016-08-08_final
2016-08-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2016-08-24_final
2016-09-09 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-09-09_final
2016-09-25 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-09-25_final
2016-10-11 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-10-11_final
2016-10-27 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-10-27_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2016-12-30 11:55:08	ga_ls7e_ard_3-0-0_115079_2016-12-30_final
2017-01-15 11:54:57	ga_ls7e_ard_3-0-0_115079_2017-01-15_final
2017-01-31 11:54:48	ga_ls7e_ard_3-0-0_115079_2017-01-31_final
2017-03-04 11:54:54	ga_ls7e_ard_3-0-0_115079_2017-03-04_final
2017-03-20 11:55:00	ga_ls7e_ard_3-0-0_115079_2017-03-20_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2017-04-21 11:55:11	ga_ls7e_ard_3-0-0_115079_2017-04-21_final
2017-05-07 11:55:16	ga_ls7e_ard_3-0-0_115079_2017-05-07_final
2017-05-23 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-05-23_final
2017-06-08 11:55:23	ga_ls7e_ard_3-0-0_115079_2017-06-08_final
2017-06-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-06-24_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-07-26 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-07-26_final
2017-08-11 11:55:25	ga_ls7e_ard_3-0-0_115079_2017-08-11_final
2017-09-12 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-12_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2017-10-30 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-30_final
2017-11-15 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-11-15_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2018-01-02 11:54:57	ga_ls7e_ard_3-0-0_115079_2018-01-02_final
2018-01-18 11:54:43	ga_ls7e_ard_3-0-0_115079_2018-01-18_final
2018-02-03 11:54:28	ga_ls7e_ard_3-0-0_115079_2018-02-03_final
2018-02-19 11:54:17	ga_ls7e_ard_3-0-0_115079_2018-02-19_final
2018-03-07 11:54:06	ga_ls7e_ard_3-0-0_115079_2018-03-07_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-04-24 11:53:23	ga_ls7e_ard_3-0-0_115079_2018-04-24_final
2018-05-10 11:53:06	ga_ls7e_ard_3-0-0_115079_2018-05-10_final
2018-05-26 11:52:51	ga_ls7e_ard_3-0-0_115079_2018-05-26_final
2018-06-11 11:52:35	ga_ls7e_ard_3-0-0_115079_2018-06-11_final
2018-06-27 11:52:17	ga_ls7e_ard_3-0-0_115079_2018-06-27_final
2018-07-29 11:51:41	ga_ls7e_ard_3-0-0_115079_2018-07-29_final
2018-08-30 11:51:04	ga_ls7e_ard_3-0-0_115079_2018-08-30_final
2018-09-15 11:50:43	ga_ls7e_ard_3-0-0_115079_2018-09-15_final
2018-10-17 11:49:57	ga_ls7e_ard_3-0-0_115079_2018-10-17_final
2018-11-02 11:49:37	ga_ls7e_ard_3-0-0_115079_2018-11-02_final
2018-11-18 11:49:14	ga_ls7e_ard_3-0-0_115079_2018-11-18_final
2018-12-04 11:48:50	ga_ls7e_ard_3-0-0_115079_2018-12-04_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2019-03-26 11:45:23	ga_ls7e_ard_3-1-0_115079_2019-03-26_final
2019-04-27 11:44:14	ga_ls7e_ard_3-0-0_115079_2019-04-27_final
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-08-01 11:40:36	ga_ls7e_ard_3-0-0_115079_2019-08-01_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-02-09 11:31:44	ga_ls7e_ard_3-1-0_115079_2020-02-09_final
2020-02-25 11:30:54	ga_ls7e_ard_3-1-0_115079_2020-02-25_final
2020-03-12 11:30:02	ga_ls7e_ard_3-1-0_115079_2020-03-12_final
2020-05-31 11:25:21	ga_ls7e_ard_3-1-0_115079_2020-05-31_final
2020-07-18 11:22:30	ga_ls7e_ard_3-1-0_115079_2020-07-18_final
2020-09-04 11:19:27	ga_ls7e_ard_3-1-0_115079_2020-09-04_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years