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
2012-12-22 10:36:58	ga_ls7e_ard_3-0-0_104069_2012-12-22_final
2013-04-29 10:36:44	ga_ls7e_ard_3-0-0_104069_2013-04-29_final
2013-05-15 10:36:42	ga_ls7e_ard_3-0-0_104069_2013-05-15_final
2013-05-31 10:36:35	ga_ls7e_ard_3-0-0_104069_2013-05-31_final
2013-06-16 10:36:29	ga_ls7e_ard_3-0-0_104069_2013-06-16_final
2013-07-18 10:36:12	ga_ls7e_ard_3-0-0_104069_2013-07-18_final
2013-10-22 10:36:53	ga_ls7e_ard_3-0-0_104069_2013-10-22_final
2013-11-07 10:36:58	ga_ls7e_ard_3-0-0_104069_2013-11-07_final
2014-01-10 10:37:16	ga_ls7e_ard_3-0-0_104069_2014-01-10_final
2014-03-15 10:37:41	ga_ls7e_ard_3-0-0_104069_2014-03-15_final
2014-04-16 10:37:55	ga_ls7e_ard_3-0-0_104069_2014-04-16_final
2014-05-18 10:38:10	ga_ls7e_ard_3-0-0_104069_2014-05-18_final
2014-06-19 10:38:14	ga_ls7e_ard_3-0-0_104069_2014-06-19_final
2014-07-05 10:38:21	ga_ls7e_ard_3-0-0_104069_2014-07-05_final
2014-07-21 10:38:23	ga_ls7e_ard_3-0-0_104069_2014-07-21_final
2014-09-07 10:38:29	ga_ls7e_ard_3-0-0_104069_2014-09-07_final
2014-09-23 10:38:34	ga_ls7e_ard_3-0-0_104069_2014-09-23_final
2014-10-25 10:38:55	ga_ls7e_ard_3-0-0_104069_2014-10-25_final
2014-12-12 10:39:16	ga_ls7e_ard_3-0-0_104069_2014-12-12_final
2015-01-29 10:39:29	ga_ls7e_ard_3-0-0_104069_2015-01-29_final
2015-02-14 10:39:30	ga_ls7e_ard_3-0-0_104069_2015-02-14_final
2015-05-05 10:40:09	ga_ls7e_ard_3-0-0_104069_2015-05-05_final
2015-05-21 10:40:17	ga_ls7e_ard_3-0-0_104069_2015-05-21_final
2015-06-06 10:40:23	ga_ls7e_ard_3-0-0_104069_2015-06-06_final
2015-06-22 10:40:26	ga_ls7e_ard_3-0-0_104069_2015-06-22_final
2015-07-08 10:40:32	ga_ls7e_ard_3-0-0_104069_2015-07-08_final
2015-07-24 10:40:35	ga_ls7e_ard_3-0-0_104069_2015-07-24_final
2015-08-09 10:40:39	ga_ls7e_ard_3-0-0_104069_2015-08-09_final
2015-08-25 10:40:41	ga_ls7e_ard_3-0-0_104069_2015-08-25_final
2015-09-10 10:40:44	ga_ls7e_ard_3-0-0_104069_2015-09-10_final
2015-09-26 10:40:48	ga_ls7e_ard_3-0-0_104069_2015-09-26_final
2015-10-12 10:40:58	ga_ls7e_ard_3-0-0_104069_2015-10-12_final
2015-10-28 10:41:14	ga_ls7e_ard_3-0-0_104069_2015-10-28_final
2015-11-13 10:41:30	ga_ls7e_ard_3-0-0_104069_2015-11-13_final
2015-11-29 10:41:43	ga_ls7e_ard_3-0-0_104069_2015-11-29_final
2015-12-31 10:42:13	ga_ls7e_ard_3-0-0_104069_2015-12-31_final
2016-01-16 10:42:28	ga_ls7e_ard_3-0-0_104069_2016-01-16_final
2016-02-01 10:42:38	ga_ls7e_ard_3-0-0_104069_2016-02-01_final
2016-02-17 10:42:42	ga_ls7e_ard_3-0-0_104069_2016-02-17_final
2016-03-04 10:42:49	ga_ls7e_ard_3-0-0_104069_2016-03-04_final
2016-03-20 10:42:57	ga_ls7e_ard_3-0-0_104069_2016-03-20_final
2016-04-05 10:43:00	ga_ls7e_ard_3-0-0_104069_2016-04-05_final
2016-04-21 10:43:08	ga_ls7e_ard_3-0-0_104069_2016-04-21_final
2016-05-07 10:43:13	ga_ls7e_ard_3-0-0_104069_2016-05-07_final
2016-05-23 10:43:16	ga_ls7e_ard_3-0-0_104069_2016-05-23_final
2016-06-08 10:43:21	ga_ls7e_ard_3-0-0_104069_2016-06-08_final
2016-06-24 10:43:24	ga_ls7e_ard_3-0-0_104069_2016-06-24_final
2016-07-10 10:43:23	ga_ls7e_ard_3-0-0_104069_2016-07-10_final
2016-07-26 10:43:26	ga_ls7e_ard_3-0-0_104069_2016-07-26_final
2016-08-11 10:43:27	ga_ls7e_ard_3-0-0_104069_2016-08-11_final
2016-08-27 10:43:30	ga_ls7e_ard_3-0-0_104069_2016-08-27_final
2016-09-12 10:43:32	ga_ls7e_ard_3-0-0_104069_2016-09-12_final
2016-09-28 10:43:35	ga_ls7e_ard_3-0-0_104069_2016-09-28_final
2016-10-14 10:43:35	ga_ls7e_ard_3-0-0_104069_2016-10-14_final
2016-10-30 10:43:30	ga_ls7e_ard_3-0-0_104069_2016-10-30_final
2016-11-15 10:43:22	ga_ls7e_ard_3-0-0_104069_2016-11-15_final
2016-12-01 10:43:20	ga_ls7e_ard_3-0-0_104069_2016-12-01_final
2016-12-17 10:43:15	ga_ls7e_ard_3-0-0_104069_2016-12-17_final
2017-02-03 10:42:49	ga_ls7e_ard_3-0-0_104069_2017-02-03_final
2017-03-07 10:42:57	ga_ls7e_ard_3-0-0_104069_2017-03-07_final
2017-03-23 10:43:02	ga_ls7e_ard_3-0-0_104069_2017-03-23_final
2017-04-08 10:43:07	ga_ls7e_ard_3-0-0_104069_2017-04-08_final
2017-04-24 10:43:14	ga_ls7e_ard_3-0-0_104069_2017-04-24_final
2017-05-10 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-05-10_final
2017-05-26 10:43:21	ga_ls7e_ard_3-0-0_104069_2017-05-26_final
2017-06-11 10:43:26	ga_ls7e_ard_3-0-0_104069_2017-06-11_final
2017-06-27 10:43:28	ga_ls7e_ard_3-0-0_104069_2017-06-27_final
2017-07-13 10:43:29	ga_ls7e_ard_3-0-0_104069_2017-07-13_final
2017-07-29 10:43:28	ga_ls7e_ard_3-0-0_104069_2017-07-29_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-20 10:43:08	ga_ls7e_ard_3-0-0_104069_2017-12-20_final
2018-01-05 10:42:56	ga_ls7e_ard_3-0-0_104069_2018-01-05_final
2018-05-13 10:41:05	ga_ls7e_ard_3-0-0_104069_2018-05-13_final
2018-10-20 10:37:55	ga_ls7e_ard_3-0-0_104069_2018-10-20_final
2018-11-21 10:37:12	ga_ls7e_ard_3-0-0_104069_2018-11-21_final
2018-12-23 10:36:20	ga_ls7e_ard_3-0-0_104069_2018-12-23_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-03-18 09:53:39	ga_ls7e_ard_3-2-0_104069_2021-03-18_final
2021-04-03 09:52:21	ga_ls7e_ard_3-2-0_104069_2021-04-03_final
2021-04-19 09:51:01	ga_ls7e_ard_3-2-0_104069_2021-04-19_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-05-21 09:48:19	ga_ls7e_ard_3-2-0_104069_2021-05-21_final
2021-06-06 09:46:58	ga_ls7e_ard_3-2-0_104069_2021-06-06_final
2021-06-22 09:45:40	ga_ls7e_ard_3-2-0_104069_2021-06-22_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-24 09:42:57	ga_ls7e_ard_3-2-0_104069_2021-07-24_final
2021-08-09 09:41:32	ga_ls7e_ard_3-2-0_104069_2021-08-09_final
2021-08-25 09:40:08	ga_ls7e_ard_3-2-0_104069_2021-08-25_final
2021-09-10 09:38:45	ga_ls7e_ard_3-2-0_104069_2021-09-10_final
2021-09-26 09:37:19	ga_ls7e_ard_3-2-0_104069_2021-09-26_final
2021-10-12 09:35:54	ga_ls7e_ard_3-2-0_104069_2021-10-12_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-11-13 09:32:56	ga_ls7e_ard_3-2-1_104069_2021-11-13_final
2021-11-29 09:31:24	ga_ls7e_ard_3-2-1_104069_2021-11-29_final
2021-12-31 09:28:18	ga_ls7e_ard_3-2-1_104069_2021-12-30_final
2022-01-16 09:26:46	ga_ls7e_ard_3-2-1_104069_2022-01-15_final
2022-02-01 09:25:12	ga_ls7e_ard_3-2-1_104069_2022-01-31_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-03-05 09:22:02	ga_ls7e_ard_3-2-1_104069_2022-03-04_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years