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:

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First 100 results (query limit)

Time (local)	Label
2013-02-22 09:16:51	ga_ls7e_ard_3-1-0_090085_2013-02-21_final
2013-03-26 09:16:44	ga_ls7e_ard_3-0-0_090085_2013-03-25_final
2013-04-27 09:16:36	ga_ls7e_ard_3-0-0_090085_2013-04-26_final
2013-06-30 09:16:14	ga_ls7e_ard_3-0-0_090085_2013-06-29_final
2014-01-08 09:17:08	ga_ls7e_ard_3-1-0_090085_2014-01-07_final
2014-02-09 09:17:33	ga_ls7e_ard_3-1-0_090085_2014-02-08_final
2014-03-13 09:17:31	ga_ls7e_ard_3-1-0_090085_2014-03-12_final
2014-04-14 09:17:45	ga_ls7e_ard_3-1-0_090085_2014-04-13_final
2014-04-30 09:17:54	ga_ls7e_ard_3-0-0_090085_2014-04-29_final
2014-05-16 09:18:01	ga_ls7e_ard_3-1-0_090085_2014-05-15_final
2014-06-17 09:18:05	ga_ls7e_ard_3-1-0_090085_2014-06-16_final
2014-07-03 09:18:12	ga_ls7e_ard_3-0-0_090085_2014-07-02_final
2014-10-07 09:18:37	ga_ls7e_ard_3-1-0_090085_2014-10-06_final
2014-11-24 09:18:59	ga_ls7e_ard_3-1-0_090085_2014-11-23_final
2014-12-10 09:19:05	ga_ls7e_ard_3-1-0_090085_2014-12-09_final
2014-12-26 09:19:13	ga_ls7e_ard_3-1-0_090085_2014-12-25_final
2015-02-28 09:19:33	ga_ls7e_ard_3-1-0_090085_2015-02-27_final
2015-04-01 09:19:45	ga_ls7e_ard_3-0-0_090085_2015-03-31_final
2015-06-04 09:20:14	ga_ls7e_ard_3-1-0_090085_2015-06-03_final
2015-06-20 09:20:18	ga_ls7e_ard_3-1-0_090085_2015-06-19_final
2015-07-06 09:20:23	ga_ls7e_ard_3-1-0_090085_2015-07-05_final
2015-08-07 09:20:30	ga_ls7e_ard_3-1-0_090085_2015-08-06_final
2015-08-23 09:20:32	ga_ls7e_ard_3-1-0_090085_2015-08-22_final
2015-09-08 09:20:34	ga_ls7e_ard_3-1-0_090085_2015-09-07_final
2015-09-24 09:20:39	ga_ls7e_ard_3-1-0_090085_2015-09-23_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2015-10-26 09:21:04	ga_ls7e_ard_3-0-0_090085_2015-10-25_final
2015-11-27 09:21:34	ga_ls7e_ard_3-1-0_090085_2015-11-26_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2015-12-29 09:22:02	ga_ls7e_ard_3-1-0_090085_2015-12-28_final
2016-01-14 09:22:18	ga_ls7e_ard_3-1-0_090085_2016-01-13_final
2016-01-30 09:22:29	ga_ls7e_ard_3-1-0_090085_2016-01-29_final
2016-02-15 09:22:34	ga_ls7e_ard_3-1-0_090085_2016-02-14_final
2016-03-02 09:22:39	ga_ls7e_ard_3-1-0_090085_2016-03-01_final
2016-04-19 09:22:59	ga_ls7e_ard_3-1-0_090085_2016-04-18_final
2016-05-05 09:23:04	ga_ls7e_ard_3-1-0_090085_2016-05-04_final
2016-06-22 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-06-21_final
2016-07-24 09:23:17	ga_ls7e_ard_3-1-0_090085_2016-07-23_final
2016-08-09 09:23:19	ga_ls7e_ard_3-1-0_090085_2016-08-08_final
2016-08-25 09:23:21	ga_ls7e_ard_3-1-0_090085_2016-08-24_final
2016-09-10 09:23:24	ga_ls7e_ard_3-1-0_090085_2016-09-09_final
2016-09-26 09:23:26	ga_ls7e_ard_3-0-0_090085_2016-09-25_final
2016-10-12 09:23:27	ga_ls7e_ard_3-1-0_090085_2016-10-11_final
2016-10-28 09:23:23	ga_ls7e_ard_3-1-0_090085_2016-10-27_final
2016-11-13 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-11-12_final
2016-11-29 09:23:12	ga_ls7e_ard_3-1-0_090085_2016-11-28_final
2016-12-31 09:23:00	ga_ls7e_ard_3-0-0_090085_2016-12-30_final
2017-01-16 09:22:50	ga_ls7e_ard_3-1-0_090085_2017-01-15_final
2017-02-01 09:22:42	ga_ls7e_ard_3-1-0_090085_2017-01-31_final
2017-02-17 09:22:40	ga_ls7e_ard_3-1-0_090085_2017-02-16_final
2017-03-05 09:22:48	ga_ls7e_ard_3-1-0_090085_2017-03-04_final
2017-04-06 09:22:57	ga_ls7e_ard_3-1-0_090085_2017-04-05_final
2017-04-22 09:23:05	ga_ls7e_ard_3-1-0_090085_2017-04-21_final
2017-05-08 09:23:09	ga_ls7e_ard_3-1-0_090085_2017-05-07_final
2017-05-24 09:23:12	ga_ls7e_ard_3-0-0_090085_2017-05-23_final
2017-06-25 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-06-24_final
2017-07-11 09:23:21	ga_ls7e_ard_3-1-0_090085_2017-07-10_final
2017-07-27 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-07-26_final
2017-08-12 09:23:18	ga_ls7e_ard_3-1-0_090085_2017-08-11_final
2017-08-28 09:23:18	ga_ls7e_ard_3-1-0_090085_2017-08-27_final
2017-09-13 09:23:17	ga_ls7e_ard_3-1-0_090085_2017-09-12_final
2017-09-29 09:23:17	ga_ls7e_ard_3-1-0_090085_2017-09-28_final
2017-10-15 09:23:19	ga_ls7e_ard_3-1-0_090085_2017-10-14_final
2017-10-31 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-10-30_final
2017-11-16 09:23:17	ga_ls7e_ard_3-1-0_090085_2017-11-15_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2018-01-03 09:22:50	ga_ls7e_ard_3-0-0_090085_2018-01-02_final
2018-02-04 09:22:20	ga_ls7e_ard_3-1-0_090085_2018-02-03_final
2018-02-20 09:22:10	ga_ls7e_ard_3-1-0_090085_2018-02-19_final
2018-03-08 09:21:59	ga_ls7e_ard_3-0-0_090085_2018-03-07_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2018-04-09 09:21:32	ga_ls7e_ard_3-0-0_090085_2018-04-08_final
2018-04-25 09:21:16	ga_ls7e_ard_3-1-0_090085_2018-04-24_final
2018-05-11 09:20:58	ga_ls7e_ard_3-1-0_090085_2018-05-10_final
2018-07-14 09:19:50	ga_ls7e_ard_3-0-0_090085_2018-07-13_final
2018-07-30 09:19:34	ga_ls7e_ard_3-1-0_090085_2018-07-29_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-09-16 09:18:36	ga_ls7e_ard_3-1-0_090085_2018-09-15_final
2018-10-02 09:18:13	ga_ls7e_ard_3-0-0_090085_2018-10-01_final
2018-10-18 09:17:49	ga_ls7e_ard_3-1-0_090085_2018-10-17_final
2018-11-03 09:17:29	ga_ls7e_ard_3-1-0_090085_2018-11-02_final
2018-11-19 09:17:06	ga_ls7e_ard_3-0-0_090085_2018-11-18_final
2018-12-05 09:16:42	ga_ls7e_ard_3-1-0_090085_2018-12-04_final
2019-01-06 09:15:46	ga_ls7e_ard_3-1-0_090085_2019-01-05_final
2019-02-07 09:14:46	ga_ls7e_ard_3-0-0_090085_2019-02-06_final
2019-03-11 09:13:47	ga_ls7e_ard_3-1-0_090085_2019-03-10_final
2019-03-27 09:13:15	ga_ls7e_ard_3-1-0_090085_2019-03-26_final
2019-04-28 09:12:06	ga_ls7e_ard_3-1-0_090085_2019-04-27_final
2019-05-30 09:10:53	ga_ls7e_ard_3-0-0_090085_2019-05-29_final
2019-06-15 09:10:19	ga_ls7e_ard_3-0-0_090085_2019-06-14_final
2019-07-17 09:09:06	ga_ls7e_ard_3-1-0_090085_2019-07-16_final
2019-08-02 09:08:27	ga_ls7e_ard_3-1-0_090085_2019-08-01_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-10-05 09:05:43	ga_ls7e_ard_3-1-0_090085_2019-10-04_final
2019-10-21 09:05:03	ga_ls7e_ard_3-1-0_090085_2019-10-20_final
2019-11-06 09:04:21	ga_ls7e_ard_3-1-0_090085_2019-11-05_final
2019-11-22 09:03:36	ga_ls7e_ard_3-1-0_090085_2019-11-21_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2020-01-09 09:01:10	ga_ls7e_ard_3-1-0_090085_2020-01-08_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