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
2012-12-10 10:17:20	ga_ls7e_ard_3-0-0_100082_2012-12-10_final
2013-01-11 10:17:27	ga_ls7e_ard_3-0-0_100082_2013-01-11_final
2013-02-28 10:17:26	ga_ls7e_ard_3-0-0_100082_2013-02-28_final
2013-04-01 10:17:20	ga_ls7e_ard_3-0-0_100082_2013-04-01_final
2013-05-19 10:17:10	ga_ls7e_ard_3-0-0_100082_2013-05-19_final
2013-06-04 10:16:59	ga_ls7e_ard_3-0-0_100082_2013-06-04_final
2013-07-22 10:16:38	ga_ls7e_ard_3-0-0_100082_2013-07-22_final
2013-09-08 10:16:52	ga_ls7e_ard_3-0-0_100082_2013-09-08_final
2013-10-26 10:17:22	ga_ls7e_ard_3-0-0_100082_2013-10-26_final
2013-11-11 10:17:28	ga_ls7e_ard_3-0-0_100082_2013-11-11_final
2013-12-13 10:17:38	ga_ls7e_ard_3-0-0_100082_2013-12-13_final
2014-01-14 10:17:50	ga_ls7e_ard_3-0-0_100082_2014-01-14_final
2014-01-30 10:18:08	ga_ls7e_ard_3-0-0_100082_2014-01-30_final
2014-03-03 10:18:03	ga_ls7e_ard_3-0-0_100082_2014-03-03_final
2014-03-19 10:18:11	ga_ls7e_ard_3-0-0_100082_2014-03-19_final
2014-04-04 10:18:17	ga_ls7e_ard_3-0-0_100082_2014-04-04_final
2014-05-06 10:18:31	ga_ls7e_ard_3-0-0_100082_2014-05-06_final
2014-05-22 10:18:39	ga_ls7e_ard_3-0-0_100082_2014-05-22_final
2014-07-25 10:18:53	ga_ls7e_ard_3-0-0_100082_2014-07-25_final
2014-08-26 10:18:54	ga_ls7e_ard_3-0-0_100082_2014-08-26_final
2014-09-11 10:18:55	ga_ls7e_ard_3-0-0_100082_2014-09-11_final
2014-10-13 10:19:15	ga_ls7e_ard_3-0-0_100082_2014-10-13_final
2014-10-29 10:19:25	ga_ls7e_ard_3-0-0_100082_2014-10-29_final
2014-11-30 10:19:39	ga_ls7e_ard_3-0-0_100082_2014-11-30_final
2015-02-02 10:19:59	ga_ls7e_ard_3-0-0_100082_2015-02-02_final
2015-02-18 10:20:02	ga_ls7e_ard_3-0-0_100082_2015-02-18_final
2015-03-06 10:20:11	ga_ls7e_ard_3-0-0_100082_2015-03-06_final
2015-03-22 10:20:19	ga_ls7e_ard_3-0-0_100082_2015-03-22_final
2015-04-07 10:20:27	ga_ls7e_ard_3-0-0_100082_2015-04-07_final
2015-05-09 10:20:40	ga_ls7e_ard_3-0-0_100082_2015-05-09_final
2015-05-25 10:20:45	ga_ls7e_ard_3-0-0_100082_2015-05-25_final
2015-06-10 10:20:53	ga_ls7e_ard_3-0-0_100082_2015-06-10_final
2015-06-26 10:20:54	ga_ls7e_ard_3-0-0_100082_2015-06-26_final
2015-07-12 10:21:01	ga_ls7e_ard_3-0-0_100082_2015-07-12_final
2015-07-28 10:21:03	ga_ls7e_ard_3-0-0_100082_2015-07-28_final
2015-08-13 10:21:08	ga_ls7e_ard_3-0-0_100082_2015-08-13_final
2015-08-29 10:21:08	ga_ls7e_ard_3-0-0_100082_2015-08-29_final
2015-11-01 10:21:45	ga_ls7e_ard_3-0-0_100082_2015-11-01_final
2015-11-17 10:22:02	ga_ls7e_ard_3-0-0_100082_2015-11-17_final
2015-12-03 10:22:14	ga_ls7e_ard_3-0-0_100082_2015-12-03_final
2015-12-19 10:22:32	ga_ls7e_ard_3-0-0_100082_2015-12-19_final
2016-01-04 10:22:45	ga_ls7e_ard_3-0-0_100082_2016-01-04_final
2016-01-20 10:22:59	ga_ls7e_ard_3-0-0_100082_2016-01-20_final
2016-02-05 10:23:08	ga_ls7e_ard_3-0-0_100082_2016-02-05_final
2016-02-21 10:23:10	ga_ls7e_ard_3-0-0_100082_2016-02-21_final
2016-03-08 10:23:20	ga_ls7e_ard_3-0-0_100082_2016-03-08_final
2016-03-24 10:23:26	ga_ls7e_ard_3-0-0_100082_2016-03-24_final
2016-04-09 10:23:30	ga_ls7e_ard_3-0-0_100082_2016-04-09_final
2016-05-27 10:23:46	ga_ls7e_ard_3-0-0_100082_2016-05-27_final
2016-06-12 10:23:50	ga_ls7e_ard_3-0-0_100082_2016-06-12_final
2016-06-28 10:23:52	ga_ls7e_ard_3-0-0_100082_2016-06-28_final
2016-07-14 10:23:51	ga_ls7e_ard_3-0-0_100082_2016-07-14_final
2016-07-30 10:23:54	ga_ls7e_ard_3-0-0_100082_2016-07-30_final
2016-08-15 10:23:55	ga_ls7e_ard_3-0-0_100082_2016-08-15_final
2016-08-31 10:23:59	ga_ls7e_ard_3-0-0_100082_2016-08-31_final
2016-09-16 10:24:00	ga_ls7e_ard_3-0-0_100082_2016-09-16_final
2016-10-02 10:24:03	ga_ls7e_ard_3-0-0_100082_2016-10-02_final
2016-10-18 10:24:02	ga_ls7e_ard_3-0-0_100082_2016-10-18_final
2016-11-03 10:23:57	ga_ls7e_ard_3-0-0_100082_2016-11-03_final
2016-11-19 10:23:50	ga_ls7e_ard_3-0-0_100082_2016-11-19_final
2016-12-21 10:23:42	ga_ls7e_ard_3-0-0_100082_2016-12-21_final
2017-01-06 10:23:32	ga_ls7e_ard_3-0-0_100082_2017-01-06_final
2017-01-22 10:23:21	ga_ls7e_ard_3-0-0_100082_2017-01-22_final
2017-02-07 10:23:16	ga_ls7e_ard_3-0-0_100082_2017-02-07_final
2017-02-23 10:23:19	ga_ls7e_ard_3-0-0_100082_2017-02-23_final
2017-03-11 10:23:27	ga_ls7e_ard_3-0-0_100082_2017-03-11_final
2017-03-27 10:23:31	ga_ls7e_ard_3-0-0_100082_2017-03-27_final
2017-04-12 10:23:37	ga_ls7e_ard_3-0-0_100082_2017-04-12_final
2017-04-28 10:23:43	ga_ls7e_ard_3-0-0_100082_2017-04-28_final
2018-04-15 10:22:02	ga_ls7e_ard_3-0-0_100082_2018-04-15_final
2018-05-01 10:21:45	ga_ls7e_ard_3-0-0_100082_2018-05-01_final
2018-06-02 10:21:14	ga_ls7e_ard_3-0-0_100082_2018-06-02_final
2018-07-20 10:20:20	ga_ls7e_ard_3-0-0_100082_2018-07-20_final
2019-01-28 10:15:40	ga_ls7e_ard_3-0-0_100082_2019-01-28_final
2019-02-13 10:15:11	ga_ls7e_ard_3-0-0_100082_2019-02-13_final
2020-11-30 09:42:08	ga_ls7e_ard_3-1-0_100082_2020-11-30_final
2020-12-16 09:40:56	ga_ls7e_ard_3-1-0_100082_2020-12-16_final
2021-01-17 09:38:40	ga_ls7e_ard_3-1-0_100082_2021-01-17_final
2021-02-02 09:37:30	ga_ls7e_ard_3-2-0_100082_2021-02-02_final
2021-02-18 09:36:18	ga_ls7e_ard_3-2-0_100082_2021-02-18_final
2021-03-22 09:33:48	ga_ls7e_ard_3-2-0_100082_2021-03-22_final
2021-04-07 09:32:30	ga_ls7e_ard_3-2-0_100082_2021-04-07_final
2021-04-23 09:31:09	ga_ls7e_ard_3-2-0_100082_2021-04-23_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-07-12 09:24:27	ga_ls7e_ard_3-2-0_100082_2021-07-11_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-08-13 09:21:39	ga_ls7e_ard_3-2-0_100082_2021-08-12_final
2021-08-29 09:20:16	ga_ls7e_ard_3-2-0_100082_2021-08-28_final
2021-09-14 09:18:52	ga_ls7e_ard_3-2-0_100082_2021-09-13_final
2021-09-30 09:17:25	ga_ls7e_ard_3-2-0_100082_2021-09-29_final
2021-10-16 09:16:01	ga_ls7e_ard_3-2-0_100082_2021-10-15_final
2021-11-01 09:14:33	ga_ls7e_ard_3-2-0_100082_2021-10-31_final
2021-11-17 09:13:01	ga_ls7e_ard_3-2-1_100082_2021-11-16_final
2021-12-03 09:11:29	ga_ls7e_ard_3-2-1_100082_2021-12-02_final
2021-12-19 09:09:58	ga_ls7e_ard_3-2-1_100082_2021-12-18_final
2022-01-04 09:08:21	ga_ls7e_ard_3-2-1_100082_2022-01-03_final
2022-02-05 09:05:16	ga_ls7e_ard_3-2-1_100082_2022-02-04_final
2022-03-09 09:02:06	ga_ls7e_ard_3-2-1_100082_2022-03-08_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