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
2013-09-12 11:29:29	ga_ls7e_ard_3-0-0_112078_2013-09-12_final
2013-09-28 11:29:38	ga_ls7e_ard_3-0-0_112078_2013-09-28_final
2013-10-14 11:29:51	ga_ls7e_ard_3-0-0_112078_2013-10-14_final
2013-11-15 11:30:03	ga_ls7e_ard_3-0-0_112078_2013-11-15_final
2013-12-01 11:30:10	ga_ls7e_ard_3-0-0_112078_2013-12-01_final
2014-01-02 11:30:18	ga_ls7e_ard_3-0-0_112078_2014-01-02_final
2014-01-18 11:30:30	ga_ls7e_ard_3-0-0_112078_2014-01-18_final
2014-02-19 11:30:33	ga_ls7e_ard_3-0-0_112078_2014-02-19_final
2014-03-07 11:30:40	ga_ls7e_ard_3-0-0_112078_2014-03-07_final
2014-03-23 11:30:47	ga_ls7e_ard_3-0-0_112078_2014-03-23_final
2014-04-24 11:31:03	ga_ls7e_ard_3-0-0_112078_2014-04-24_final
2014-05-10 11:31:08	ga_ls7e_ard_3-0-0_112078_2014-05-10_final
2014-05-26 11:31:14	ga_ls7e_ard_3-0-0_112078_2014-05-26_final
2014-06-11 11:31:16	ga_ls7e_ard_3-0-0_112078_2014-06-11_final
2014-06-27 11:31:20	ga_ls7e_ard_3-0-0_112078_2014-06-27_final
2014-07-13 11:31:23	ga_ls7e_ard_3-0-0_112078_2014-07-13_final
2014-08-14 11:31:31	ga_ls7e_ard_3-0-0_112078_2014-08-14_final
2014-10-01 11:31:43	ga_ls7e_ard_3-0-0_112078_2014-10-01_final
2014-10-17 11:31:52	ga_ls7e_ard_3-0-0_112078_2014-10-17_final
2014-11-02 11:32:02	ga_ls7e_ard_3-0-0_112078_2014-11-02_final
2014-11-18 11:32:06	ga_ls7e_ard_3-0-0_112078_2014-11-18_final
2015-01-05 11:32:24	ga_ls7e_ard_3-0-0_112078_2015-01-05_final
2015-01-21 11:32:24	ga_ls7e_ard_3-0-0_112078_2015-01-21_final
2015-02-06 11:32:33	ga_ls7e_ard_3-0-0_112078_2015-02-06_final
2015-03-10 11:32:45	ga_ls7e_ard_3-0-0_112078_2015-03-10_final
2015-03-26 11:32:55	ga_ls7e_ard_3-0-0_112078_2015-03-26_final
2015-04-27 11:33:08	ga_ls7e_ard_3-0-0_112078_2015-04-27_final
2015-05-13 11:33:17	ga_ls7e_ard_3-0-0_112078_2015-05-13_final
2015-05-29 11:33:21	ga_ls7e_ard_3-0-0_112078_2015-05-29_final
2015-06-30 11:33:30	ga_ls7e_ard_3-0-0_112078_2015-06-30_final
2015-08-01 11:33:38	ga_ls7e_ard_3-0-0_112078_2015-08-01_final
2015-09-02 11:33:42	ga_ls7e_ard_3-0-0_112078_2015-09-02_final
2015-09-18 11:33:48	ga_ls7e_ard_3-0-0_112078_2015-09-18_final
2015-10-04 11:33:49	ga_ls7e_ard_3-0-0_112078_2015-10-04_final
2015-10-20 11:34:09	ga_ls7e_ard_3-0-0_112078_2015-10-20_final
2015-11-05 11:34:22	ga_ls7e_ard_3-0-0_112078_2015-11-05_final
2015-11-21 11:34:40	ga_ls7e_ard_3-0-0_112078_2015-11-21_final
2015-12-07 11:34:53	ga_ls7e_ard_3-0-0_112078_2015-12-07_final
2015-12-23 11:35:09	ga_ls7e_ard_3-0-0_112078_2015-12-23_final
2016-01-08 11:35:23	ga_ls7e_ard_3-0-0_112078_2016-01-08_final
2016-02-09 11:35:43	ga_ls7e_ard_3-0-0_112078_2016-02-09_final
2016-02-25 11:35:45	ga_ls7e_ard_3-0-0_112078_2016-02-25_final
2016-03-12 11:35:56	ga_ls7e_ard_3-0-0_112078_2016-03-12_final
2016-03-28 11:36:01	ga_ls7e_ard_3-0-0_112078_2016-03-28_final
2016-04-13 11:36:07	ga_ls7e_ard_3-0-0_112078_2016-04-13_final
2016-04-29 11:36:13	ga_ls7e_ard_3-0-0_112078_2016-04-29_final
2016-05-15 11:36:16	ga_ls7e_ard_3-0-0_112078_2016-05-15_final
2016-05-31 11:36:21	ga_ls7e_ard_3-0-0_112078_2016-05-31_final
2016-08-03 11:36:29	ga_ls7e_ard_3-0-0_112078_2016-08-03_final
2016-08-19 11:36:30	ga_ls7e_ard_3-0-0_112078_2016-08-19_final
2016-09-04 11:36:33	ga_ls7e_ard_3-0-0_112078_2016-09-04_final
2016-09-20 11:36:35	ga_ls7e_ard_3-0-0_112078_2016-09-20_final
2016-10-06 11:36:37	ga_ls7e_ard_3-0-0_112078_2016-10-06_final
2016-10-22 11:36:35	ga_ls7e_ard_3-0-0_112078_2016-10-22_final
2016-11-07 11:36:29	ga_ls7e_ard_3-0-0_112078_2016-11-07_final
2016-11-23 11:36:23	ga_ls7e_ard_3-0-0_112078_2016-11-23_final
2016-12-09 11:36:20	ga_ls7e_ard_3-0-0_112078_2016-12-09_final
2016-12-25 11:36:14	ga_ls7e_ard_3-0-0_112078_2016-12-25_final
2017-01-26 11:35:53	ga_ls7e_ard_3-0-0_112078_2017-01-26_final
2017-02-11 11:35:46	ga_ls7e_ard_3-0-0_112078_2017-02-11_final
2017-02-27 11:35:56	ga_ls7e_ard_3-0-0_112078_2017-02-27_final
2017-03-15 11:36:02	ga_ls7e_ard_3-0-0_112078_2017-03-15_final
2017-03-31 11:36:06	ga_ls7e_ard_3-0-0_112078_2017-03-31_final
2017-04-16 11:36:13	ga_ls7e_ard_3-0-0_112078_2017-04-16_final
2017-05-02 11:36:18	ga_ls7e_ard_3-0-0_112078_2017-05-02_final
2017-05-18 11:36:21	ga_ls7e_ard_3-0-0_112078_2017-05-18_final
2017-06-03 11:36:26	ga_ls7e_ard_3-0-0_112078_2017-06-03_final
2017-06-19 11:36:29	ga_ls7e_ard_3-0-0_112078_2017-06-19_final
2017-07-05 11:36:31	ga_ls7e_ard_3-0-0_112078_2017-07-05_final
2017-07-21 11:36:31	ga_ls7e_ard_3-0-0_112078_2017-07-21_final
2017-08-06 11:36:29	ga_ls7e_ard_3-0-0_112078_2017-08-06_final
2017-09-07 11:36:28	ga_ls7e_ard_3-0-0_112078_2017-09-07_final
2017-09-23 11:36:27	ga_ls7e_ard_3-0-0_112078_2017-09-23_final
2017-10-09 11:36:29	ga_ls7e_ard_3-0-0_112078_2017-10-09_final
2017-10-25 11:36:30	ga_ls7e_ard_3-0-0_112078_2017-10-25_final
2017-11-10 11:36:28	ga_ls7e_ard_3-0-0_112078_2017-11-10_final
2017-11-26 11:36:24	ga_ls7e_ard_3-0-0_112078_2017-11-26_final
2017-12-12 11:36:15	ga_ls7e_ard_3-0-0_112078_2017-12-12_final
2017-12-28 11:36:05	ga_ls7e_ard_3-0-0_112078_2017-12-28_final
2018-01-29 11:35:36	ga_ls7e_ard_3-0-0_112078_2018-01-29_final
2018-02-14 11:35:23	ga_ls7e_ard_3-0-0_112078_2018-02-14_final
2018-03-18 11:35:02	ga_ls7e_ard_3-0-0_112078_2018-03-18_final
2018-04-03 11:34:48	ga_ls7e_ard_3-0-0_112078_2018-04-03_final
2018-04-19 11:34:32	ga_ls7e_ard_3-0-0_112078_2018-04-19_final
2018-06-22 11:33:26	ga_ls7e_ard_3-0-0_112078_2018-06-22_final
2018-07-08 11:33:07	ga_ls7e_ard_3-0-0_112078_2018-07-08_final
2018-08-25 11:32:14	ga_ls7e_ard_3-0-0_112078_2018-08-25_final
2018-09-10 11:31:54	ga_ls7e_ard_3-0-0_112078_2018-09-10_final
2018-10-12 11:31:08	ga_ls7e_ard_3-0-0_112078_2018-10-12_final
2018-10-28 11:30:47	ga_ls7e_ard_3-0-0_112078_2018-10-28_final
2018-11-29 11:30:01	ga_ls7e_ard_3-0-0_112078_2018-11-29_final
2018-12-15 11:29:35	ga_ls7e_ard_3-0-0_112078_2018-12-15_final
2018-12-31 11:29:07	ga_ls7e_ard_3-0-0_112078_2018-12-31_final
2019-01-16 11:28:37	ga_ls7e_ard_3-0-0_112078_2019-01-16_final
2019-03-21 11:26:37	ga_ls7e_ard_3-1-0_112078_2019-03-21_final
2019-04-06 11:26:04	ga_ls7e_ard_3-0-0_112078_2019-04-06_final
2019-04-22 11:25:29	ga_ls7e_ard_3-0-0_112078_2019-04-22_final
2019-05-24 11:24:16	ga_ls7e_ard_3-0-0_112078_2019-05-24_final
2019-08-12 11:21:12	ga_ls7e_ard_3-0-0_112078_2019-08-12_final
2019-08-28 11:20:32	ga_ls7e_ard_3-1-0_112078_2019-08-28_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