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
2013-08-16 10:10:24	ga_ls7e_ard_3-0-0_099082_2013-08-16_final
2013-09-01 10:10:35	ga_ls7e_ard_3-0-0_099082_2013-09-01_final
2013-12-06 10:11:27	ga_ls7e_ard_3-0-0_099082_2013-12-06_final
2014-01-07 10:11:33	ga_ls7e_ard_3-0-0_099082_2014-01-07_final
2014-02-08 10:11:59	ga_ls7e_ard_3-0-0_099082_2014-02-08_final
2014-04-13 10:12:09	ga_ls7e_ard_3-0-0_099082_2014-04-13_final
2014-06-16 10:12:31	ga_ls7e_ard_3-0-0_099082_2014-06-16_final
2014-07-02 10:12:37	ga_ls7e_ard_3-0-0_099082_2014-07-02_final
2014-07-18 10:12:39	ga_ls7e_ard_3-0-0_099082_2014-07-18_final
2014-08-03 10:12:46	ga_ls7e_ard_3-0-0_099082_2014-08-03_final
2014-08-19 10:12:45	ga_ls7e_ard_3-0-0_099082_2014-08-19_final
2014-09-04 10:12:45	ga_ls7e_ard_3-0-0_099082_2014-09-04_final
2014-09-20 10:12:50	ga_ls7e_ard_3-0-0_099082_2014-09-20_final
2014-12-09 10:13:30	ga_ls7e_ard_3-0-0_099082_2014-12-09_final
2015-01-26 10:13:44	ga_ls7e_ard_3-0-0_099082_2015-01-26_final
2015-02-27 10:13:58	ga_ls7e_ard_3-0-0_099082_2015-02-27_final
2015-03-31 10:14:10	ga_ls7e_ard_3-0-0_099082_2015-03-31_final
2015-05-18 10:14:34	ga_ls7e_ard_3-0-0_099082_2015-05-18_final
2015-06-19 10:14:44	ga_ls7e_ard_3-0-0_099082_2015-06-19_final
2015-07-05 10:14:48	ga_ls7e_ard_3-0-0_099082_2015-07-05_final
2015-07-21 10:14:52	ga_ls7e_ard_3-0-0_099082_2015-07-21_final
2015-08-22 10:14:58	ga_ls7e_ard_3-0-0_099082_2015-08-22_final
2015-09-07 10:14:59	ga_ls7e_ard_3-0-0_099082_2015-09-07_final
2015-09-23 10:15:05	ga_ls7e_ard_3-0-0_099082_2015-09-23_final
2015-11-26 10:15:59	ga_ls7e_ard_3-0-0_099082_2015-11-26_final
2015-12-28 10:16:27	ga_ls7e_ard_3-0-0_099082_2015-12-28_final
2016-01-13 10:16:43	ga_ls7e_ard_3-0-0_099082_2016-01-13_final
2016-01-29 10:16:54	ga_ls7e_ard_3-0-0_099082_2016-01-29_final
2016-02-14 10:16:59	ga_ls7e_ard_3-0-0_099082_2016-02-14_final
2016-03-01 10:17:04	ga_ls7e_ard_3-0-0_099082_2016-03-01_final
2016-03-17 10:17:13	ga_ls7e_ard_3-0-0_099082_2016-03-17_final
2016-04-02 10:17:17	ga_ls7e_ard_3-0-0_099082_2016-04-02_final
2016-04-18 10:17:24	ga_ls7e_ard_3-0-0_099082_2016-04-18_final
2016-05-04 10:17:30	ga_ls7e_ard_3-0-0_099082_2016-05-04_final
2016-06-05 10:17:38	ga_ls7e_ard_3-0-0_099082_2016-06-05_final
2016-07-23 10:17:42	ga_ls7e_ard_3-0-0_099082_2016-07-23_final
2016-08-08 10:17:44	ga_ls7e_ard_3-0-0_099082_2016-08-08_final
2016-08-24 10:17:46	ga_ls7e_ard_3-0-0_099082_2016-08-24_final
2016-09-09 10:17:49	ga_ls7e_ard_3-0-0_099082_2016-09-09_final
2016-09-25 10:17:51	ga_ls7e_ard_3-0-0_099082_2016-09-25_final
2016-10-11 10:17:52	ga_ls7e_ard_3-0-0_099082_2016-10-11_final
2016-10-27 10:17:49	ga_ls7e_ard_3-0-0_099082_2016-10-27_final
2016-11-12 10:17:41	ga_ls7e_ard_3-0-0_099082_2016-11-12_final
2016-11-28 10:17:38	ga_ls7e_ard_3-0-0_099082_2016-11-28_final
2016-12-30 10:17:26	ga_ls7e_ard_3-0-0_099082_2016-12-30_final
2017-01-15 10:17:16	ga_ls7e_ard_3-0-0_099082_2017-01-15_final
2017-01-31 10:17:07	ga_ls7e_ard_3-0-0_099082_2017-01-31_final
2017-02-16 10:17:05	ga_ls7e_ard_3-0-0_099082_2017-02-16_final
2017-03-04 10:17:13	ga_ls7e_ard_3-0-0_099082_2017-03-04_final
2017-03-20 10:17:19	ga_ls7e_ard_3-0-0_099082_2017-03-20_final
2017-04-05 10:17:22	ga_ls7e_ard_3-0-0_099082_2017-04-05_final
2017-05-07 10:17:35	ga_ls7e_ard_3-0-0_099082_2017-05-07_final
2017-05-23 10:17:37	ga_ls7e_ard_3-0-0_099082_2017-05-23_final
2017-06-08 10:17:42	ga_ls7e_ard_3-0-0_099082_2017-06-08_final
2017-06-24 10:17:45	ga_ls7e_ard_3-0-0_099082_2017-06-24_final
2017-07-10 10:17:46	ga_ls7e_ard_3-0-0_099082_2017-07-10_final
2017-07-26 10:17:46	ga_ls7e_ard_3-0-0_099082_2017-07-26_final
2017-08-11 10:17:43	ga_ls7e_ard_3-0-0_099082_2017-08-11_final
2017-08-27 10:17:44	ga_ls7e_ard_3-0-0_099082_2017-08-27_final
2017-09-12 10:17:42	ga_ls7e_ard_3-0-0_099082_2017-09-12_final
2017-09-28 10:17:42	ga_ls7e_ard_3-0-0_099082_2017-09-28_final
2017-10-14 10:17:45	ga_ls7e_ard_3-0-0_099082_2017-10-14_final
2017-10-30 10:17:45	ga_ls7e_ard_3-0-0_099082_2017-10-30_final
2017-12-17 10:17:28	ga_ls7e_ard_3-0-0_099082_2017-12-17_final
2018-01-02 10:17:16	ga_ls7e_ard_3-0-0_099082_2018-01-02_final
2018-01-18 10:17:02	ga_ls7e_ard_3-0-0_099082_2018-01-18_final
2018-02-03 10:16:46	ga_ls7e_ard_3-0-0_099082_2018-02-03_final
2018-02-19 10:16:36	ga_ls7e_ard_3-0-0_099082_2018-02-19_final
2018-03-07 10:16:25	ga_ls7e_ard_3-0-0_099082_2018-03-07_final
2018-03-23 10:16:13	ga_ls7e_ard_3-0-0_099082_2018-03-23_final
2018-04-08 10:15:58	ga_ls7e_ard_3-0-0_099082_2018-04-08_final
2018-04-24 10:15:42	ga_ls7e_ard_3-0-0_099082_2018-04-24_final
2018-05-26 10:15:10	ga_ls7e_ard_3-0-0_099082_2018-05-26_final
2018-06-11 10:14:54	ga_ls7e_ard_3-0-0_099082_2018-06-11_final
2018-06-27 10:14:36	ga_ls7e_ard_3-0-0_099082_2018-06-27_final
2018-07-13 10:14:16	ga_ls7e_ard_3-0-0_099082_2018-07-13_final
2018-08-14 10:13:42	ga_ls7e_ard_3-0-0_099082_2018-08-14_final
2018-09-15 10:13:02	ga_ls7e_ard_3-0-0_099082_2018-09-15_final
2018-11-02 10:11:56	ga_ls7e_ard_3-0-0_099082_2018-11-02_final
2018-11-18 10:11:33	ga_ls7e_ard_3-0-0_099082_2018-11-18_final
2018-12-04 10:11:09	ga_ls7e_ard_3-0-0_099082_2018-12-04_final
2018-12-20 10:10:42	ga_ls7e_ard_3-0-0_099082_2018-12-20_final
2019-01-05 10:10:13	ga_ls7e_ard_3-0-0_099082_2019-01-05_final
2019-02-06 10:09:13	ga_ls7e_ard_3-0-0_099082_2019-02-06_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-04-27 10:06:33	ga_ls7e_ard_3-0-0_099082_2019-04-27_final
2019-05-13 10:05:56	ga_ls7e_ard_3-0-0_099082_2019-05-13_final
2019-05-29 10:05:20	ga_ls7e_ard_3-0-0_099082_2019-05-29_final
2019-06-14 10:04:46	ga_ls7e_ard_3-0-0_099082_2019-06-14_final
2019-07-16 10:03:33	ga_ls7e_ard_3-0-0_099082_2019-07-16_final
2019-08-01 10:02:55	ga_ls7e_ard_3-0-0_099082_2019-08-01_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-10-04 10:00:11	ga_ls7e_ard_3-1-0_099082_2019-10-04_final
2019-11-05 09:58:49	ga_ls7e_ard_3-1-0_099082_2019-11-05_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-23 09:56:29	ga_ls7e_ard_3-1-0_099082_2019-12-23_final
2020-01-08 09:55:39	ga_ls7e_ard_3-1-0_099082_2020-01-08_final
2020-02-09 09:54:03	ga_ls7e_ard_3-1-0_099082_2020-02-09_final
2020-02-25 09:53:13	ga_ls7e_ard_3-1-0_099082_2020-02-25_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_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