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
2012-07-02 11:09:30	ga_ls7e_ard_3-0-0_109077_2012-07-02_final
2012-12-09 11:10:56	ga_ls7e_ard_3-0-0_109077_2012-12-09_final
2013-03-31 11:10:58	ga_ls7e_ard_3-0-0_109077_2013-03-31_final
2013-04-16 11:10:54	ga_ls7e_ard_3-0-0_109077_2013-04-16_final
2013-05-18 11:10:47	ga_ls7e_ard_3-0-0_109077_2013-05-18_final
2013-06-19 11:10:34	ga_ls7e_ard_3-0-0_109077_2013-06-19_final
2013-09-07 11:10:29	ga_ls7e_ard_3-0-0_109077_2013-09-07_final
2013-09-23 11:10:38	ga_ls7e_ard_3-0-0_109077_2013-09-23_final
2013-11-10 11:11:05	ga_ls7e_ard_3-0-0_109077_2013-11-10_final
2013-11-26 11:11:11	ga_ls7e_ard_3-0-0_109077_2013-11-26_final
2014-04-03 11:11:54	ga_ls7e_ard_3-0-0_109077_2014-04-03_final
2014-05-21 11:12:17	ga_ls7e_ard_3-0-0_109077_2014-05-21_final
2014-06-22 11:12:21	ga_ls7e_ard_3-0-0_109077_2014-06-22_final
2014-07-24 11:12:30	ga_ls7e_ard_3-0-0_109077_2014-07-24_final
2014-08-09 11:12:35	ga_ls7e_ard_3-0-0_109077_2014-08-09_final
2014-08-25 11:12:32	ga_ls7e_ard_3-0-0_109077_2014-08-25_final
2014-09-26 11:12:41	ga_ls7e_ard_3-0-0_109077_2014-09-26_final
2014-10-12 11:12:53	ga_ls7e_ard_3-0-0_109077_2014-10-12_final
2014-10-28 11:13:02	ga_ls7e_ard_3-0-0_109077_2014-10-28_final
2014-11-13 11:13:11	ga_ls7e_ard_3-0-0_109077_2014-11-13_final
2014-11-29 11:13:16	ga_ls7e_ard_3-0-0_109077_2014-11-29_final
2014-12-15 11:13:24	ga_ls7e_ard_3-0-0_109077_2014-12-15_final
2014-12-31 11:13:25	ga_ls7e_ard_3-0-0_109077_2014-12-31_final
2015-01-16 11:13:29	ga_ls7e_ard_3-0-0_109077_2015-01-16_final
2015-02-01 11:13:36	ga_ls7e_ard_3-0-0_109077_2015-02-01_final
2015-02-17 11:13:38	ga_ls7e_ard_3-0-0_109077_2015-02-17_final
2015-03-05 11:13:48	ga_ls7e_ard_3-0-0_109077_2015-03-05_final
2015-03-21 11:13:56	ga_ls7e_ard_3-0-0_109077_2015-03-21_final
2015-04-06 11:14:03	ga_ls7e_ard_3-0-0_109077_2015-04-06_final
2015-05-08 11:14:17	ga_ls7e_ard_3-0-0_109077_2015-05-08_final
2015-06-09 11:14:30	ga_ls7e_ard_3-0-0_109077_2015-06-09_final
2015-06-25 11:14:31	ga_ls7e_ard_3-0-0_109077_2015-06-25_final
2015-07-11 11:14:38	ga_ls7e_ard_3-0-0_109077_2015-07-11_final
2015-07-27 11:14:40	ga_ls7e_ard_3-0-0_109077_2015-07-27_final
2015-08-12 11:14:45	ga_ls7e_ard_3-0-0_109077_2015-08-12_final
2015-08-28 11:14:46	ga_ls7e_ard_3-0-0_109077_2015-08-28_final
2015-09-13 11:14:50	ga_ls7e_ard_3-0-0_109077_2015-09-13_final
2015-09-29 11:14:54	ga_ls7e_ard_3-0-0_109077_2015-09-29_final
2015-10-15 11:15:07	ga_ls7e_ard_3-0-0_109077_2015-10-15_final
2015-10-31 11:15:22	ga_ls7e_ard_3-0-0_109077_2015-10-31_final
2015-11-16 11:15:39	ga_ls7e_ard_3-0-0_109077_2015-11-16_final
2015-12-02 11:15:51	ga_ls7e_ard_3-0-0_109077_2015-12-02_final
2015-12-18 11:16:08	ga_ls7e_ard_3-0-0_109077_2015-12-18_final
2016-01-03 11:16:22	ga_ls7e_ard_3-0-0_109077_2016-01-03_final
2016-01-19 11:16:36	ga_ls7e_ard_3-0-0_109077_2016-01-19_final
2016-02-04 11:16:45	ga_ls7e_ard_3-0-0_109077_2016-02-04_final
2016-02-20 11:16:48	ga_ls7e_ard_3-0-0_109077_2016-02-20_final
2016-03-07 11:16:57	ga_ls7e_ard_3-0-0_109077_2016-03-07_final
2016-03-23 11:17:03	ga_ls7e_ard_3-0-0_109077_2016-03-23_final
2016-04-08 11:17:07	ga_ls7e_ard_3-0-0_109077_2016-04-08_final
2016-05-10 11:17:19	ga_ls7e_ard_3-0-0_109077_2016-05-10_final
2016-05-26 11:17:23	ga_ls7e_ard_3-0-0_109077_2016-05-26_final
2016-06-11 11:17:28	ga_ls7e_ard_3-0-0_109077_2016-06-11_final
2016-06-27 11:17:29	ga_ls7e_ard_3-0-0_109077_2016-06-27_final
2016-07-13 11:17:28	ga_ls7e_ard_3-0-0_109077_2016-07-13_final
2016-07-29 11:17:32	ga_ls7e_ard_3-0-0_109077_2016-07-29_final
2016-08-14 11:17:32	ga_ls7e_ard_3-0-0_109077_2016-08-14_final
2016-08-30 11:17:36	ga_ls7e_ard_3-0-0_109077_2016-08-30_final
2016-09-15 11:17:38	ga_ls7e_ard_3-0-0_109077_2016-09-15_final
2016-10-01 11:17:41	ga_ls7e_ard_3-0-0_109077_2016-10-01_final
2016-10-17 11:17:40	ga_ls7e_ard_3-0-0_109077_2016-10-17_final
2016-11-02 11:17:35	ga_ls7e_ard_3-0-0_109077_2016-11-02_final
2016-11-18 11:17:27	ga_ls7e_ard_3-0-0_109077_2016-11-18_final
2016-12-04 11:17:25	ga_ls7e_ard_3-0-0_109077_2016-12-04_final
2017-01-05 11:17:10	ga_ls7e_ard_3-0-0_109077_2017-01-05_final
2017-02-22 11:16:56	ga_ls7e_ard_3-0-0_109077_2017-02-22_final
2017-03-26 11:17:09	ga_ls7e_ard_3-0-0_109077_2017-03-26_final
2017-05-13 11:17:24	ga_ls7e_ard_3-0-0_109077_2017-05-13_final
2017-09-02 11:17:32	ga_ls7e_ard_3-0-0_109077_2017-09-02_final
2017-10-04 11:17:31	ga_ls7e_ard_3-0-0_109077_2017-10-04_final
2017-11-05 11:17:33	ga_ls7e_ard_3-0-0_109077_2017-11-05_final
2017-12-23 11:17:12	ga_ls7e_ard_3-0-0_109077_2017-12-23_final
2018-03-13 11:16:09	ga_ls7e_ard_3-0-0_109077_2018-03-13_final
2018-08-20 11:13:24	ga_ls7e_ard_3-0-0_109077_2018-08-20_final
2018-09-21 11:12:42	ga_ls7e_ard_3-0-0_109077_2018-09-21_final
2019-02-12 11:08:51	ga_ls7e_ard_3-0-0_109077_2019-02-12_final
2021-03-05 10:28:46	ga_ls7e_ard_3-2-0_109077_2021-03-05_final
2021-03-21 10:27:30	ga_ls7e_ard_3-2-0_109077_2021-03-21_final
2021-04-06 10:26:12	ga_ls7e_ard_3-2-0_109077_2021-04-06_final
2021-04-22 10:24:51	ga_ls7e_ard_3-2-0_109077_2021-04-22_final
2021-05-08 10:23:31	ga_ls7e_ard_3-2-0_109077_2021-05-08_final
2021-05-24 10:22:09	ga_ls7e_ard_3-2-0_109077_2021-05-24_final
2021-06-09 10:20:49	ga_ls7e_ard_3-2-0_109077_2021-06-09_final
2021-06-25 10:19:30	ga_ls7e_ard_3-2-0_109077_2021-06-25_final
2021-07-11 10:18:10	ga_ls7e_ard_3-2-0_109077_2021-07-11_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-08-12 10:15:22	ga_ls7e_ard_3-2-0_109077_2021-08-12_final
2021-08-28 10:13:58	ga_ls7e_ard_3-2-0_109077_2021-08-28_final
2021-09-13 10:12:34	ga_ls7e_ard_3-2-0_109077_2021-09-13_final
2021-09-29 10:11:08	ga_ls7e_ard_3-2-0_109077_2021-09-29_final
2021-10-15 10:09:44	ga_ls7e_ard_3-2-0_109077_2021-10-15_final
2021-10-31 10:08:16	ga_ls7e_ard_3-2-0_109077_2021-10-31_final
2021-11-16 10:06:44	ga_ls7e_ard_3-2-1_109077_2021-11-16_final
2021-12-02 10:05:12	ga_ls7e_ard_3-2-1_109077_2021-12-02_final
2021-12-18 10:03:41	ga_ls7e_ard_3-2-1_109077_2021-12-18_final
2022-01-03 10:02:05	ga_ls7e_ard_3-2-1_109077_2022-01-03_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-02-04 09:58:59	ga_ls7e_ard_3-2-1_109077_2022-02-04_final
2022-02-20 09:57:22	ga_ls7e_ard_3-2-1_109077_2022-02-20_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years