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
2013-09-09 10:59:20	ga_ls7e_ard_3-0-0_107080_2013-09-09_final
2013-10-27 10:59:50	ga_ls7e_ard_3-0-0_107080_2013-10-27_final
2014-06-24 11:01:12	ga_ls7e_ard_3-0-0_107080_2014-06-24_final
2014-07-10 11:01:17	ga_ls7e_ard_3-0-0_107080_2014-07-10_final
2014-12-01 11:02:07	ga_ls7e_ard_3-0-0_107080_2014-12-01_final
2014-12-17 11:02:16	ga_ls7e_ard_3-0-0_107080_2014-12-17_final
2015-01-02 11:02:16	ga_ls7e_ard_3-0-0_107080_2015-01-02_final
2015-02-19 11:02:31	ga_ls7e_ard_3-0-0_107080_2015-02-19_final
2015-03-23 11:02:48	ga_ls7e_ard_3-0-0_107080_2015-03-23_final
2015-04-08 11:02:55	ga_ls7e_ard_3-0-0_107080_2015-04-08_final
2015-05-10 11:03:09	ga_ls7e_ard_3-0-0_107080_2015-05-10_final
2015-09-15 11:03:41	ga_ls7e_ard_3-0-0_107080_2015-09-15_final
2015-11-18 11:04:31	ga_ls7e_ard_3-0-0_107080_2015-11-18_final
2015-12-04 11:04:43	ga_ls7e_ard_3-0-0_107080_2015-12-04_final
2015-12-20 11:05:00	ga_ls7e_ard_3-0-0_107080_2015-12-20_final
2016-01-05 11:05:14	ga_ls7e_ard_3-0-0_107080_2016-01-05_final
2016-01-21 11:05:28	ga_ls7e_ard_3-0-0_107080_2016-01-21_final
2016-02-06 11:05:36	ga_ls7e_ard_3-0-0_107080_2016-02-06_final
2016-02-22 11:05:38	ga_ls7e_ard_3-0-0_107080_2016-02-22_final
2016-03-09 11:05:48	ga_ls7e_ard_3-0-0_107080_2016-03-09_final
2016-03-25 11:05:54	ga_ls7e_ard_3-0-0_107080_2016-03-25_final
2016-04-10 11:05:59	ga_ls7e_ard_3-0-0_107080_2016-04-10_final
2016-05-12 11:06:09	ga_ls7e_ard_3-0-0_107080_2016-05-12_final
2016-05-28 11:06:14	ga_ls7e_ard_3-0-0_107080_2016-05-28_final
2016-06-13 11:06:18	ga_ls7e_ard_3-0-0_107080_2016-06-13_final
2016-06-29 11:06:19	ga_ls7e_ard_3-0-0_107080_2016-06-29_final
2016-07-15 11:06:19	ga_ls7e_ard_3-0-0_107080_2016-07-15_final
2016-08-16 11:06:23	ga_ls7e_ard_3-0-0_107080_2016-08-16_final
2016-09-01 11:06:27	ga_ls7e_ard_3-0-0_107080_2016-09-01_final
2016-09-17 11:06:28	ga_ls7e_ard_3-0-0_107080_2016-09-17_final
2016-10-03 11:06:31	ga_ls7e_ard_3-0-0_107080_2016-10-03_final
2016-10-19 11:06:29	ga_ls7e_ard_3-0-0_107080_2016-10-19_final
2016-11-04 11:06:24	ga_ls7e_ard_3-0-0_107080_2016-11-04_final
2016-11-20 11:06:17	ga_ls7e_ard_3-0-0_107080_2016-11-20_final
2016-12-06 11:06:15	ga_ls7e_ard_3-0-0_107080_2016-12-06_final
2016-12-22 11:06:09	ga_ls7e_ard_3-0-0_107080_2016-12-22_final
2017-01-23 11:05:48	ga_ls7e_ard_3-0-0_107080_2017-01-23_final
2017-02-24 11:05:48	ga_ls7e_ard_3-0-0_107080_2017-02-24_final
2017-03-12 11:05:55	ga_ls7e_ard_3-0-0_107080_2017-03-12_final
2017-03-28 11:05:59	ga_ls7e_ard_3-0-0_107080_2017-03-28_final
2017-04-13 11:06:05	ga_ls7e_ard_3-0-0_107080_2017-04-13_final
2017-04-29 11:06:11	ga_ls7e_ard_3-0-0_107080_2017-04-29_final
2017-05-15 11:06:15	ga_ls7e_ard_3-0-0_107080_2017-05-15_final
2017-05-31 11:06:18	ga_ls7e_ard_3-0-0_107080_2017-05-31_final
2017-06-16 11:06:23	ga_ls7e_ard_3-0-0_107080_2017-06-16_final
2017-07-02 11:06:25	ga_ls7e_ard_3-0-0_107080_2017-07-02_final
2017-07-18 11:06:25	ga_ls7e_ard_3-0-0_107080_2017-07-18_final
2017-08-03 11:06:23	ga_ls7e_ard_3-0-0_107080_2017-08-03_final
2017-08-19 11:06:22	ga_ls7e_ard_3-0-0_107080_2017-08-19_final
2017-09-04 11:06:22	ga_ls7e_ard_3-0-0_107080_2017-09-04_final
2017-09-20 11:06:20	ga_ls7e_ard_3-0-0_107080_2017-09-20_final
2017-11-07 11:06:23	ga_ls7e_ard_3-0-0_107080_2017-11-07_final
2017-11-23 11:06:18	ga_ls7e_ard_3-0-0_107080_2017-11-23_final
2017-12-09 11:06:11	ga_ls7e_ard_3-0-0_107080_2017-12-09_final
2017-12-25 11:06:01	ga_ls7e_ard_3-0-0_107080_2017-12-25_final
2018-01-10 11:05:48	ga_ls7e_ard_3-0-0_107080_2018-01-10_final
2018-01-26 11:05:33	ga_ls7e_ard_3-0-0_107080_2018-01-26_final
2018-02-27 11:05:09	ga_ls7e_ard_3-0-0_107080_2018-02-27_final
2018-03-15 11:04:58	ga_ls7e_ard_3-0-0_107080_2018-03-15_final
2018-04-16 11:04:29	ga_ls7e_ard_3-0-0_107080_2018-04-16_final
2018-07-21 11:02:47	ga_ls7e_ard_3-0-0_107080_2018-07-21_final
2018-10-09 11:01:06	ga_ls7e_ard_3-0-0_107080_2018-10-09_final
2018-10-25 11:00:44	ga_ls7e_ard_3-0-0_107080_2018-10-25_final
2018-11-26 11:00:00	ga_ls7e_ard_3-0-0_107080_2018-11-26_final
2018-12-12 10:59:34	ga_ls7e_ard_3-0-0_107080_2018-12-12_final
2018-12-28 10:59:06	ga_ls7e_ard_3-0-0_107080_2018-12-28_final
2019-01-13 10:58:37	ga_ls7e_ard_3-0-0_107080_2019-01-13_final
2019-04-19 10:55:30	ga_ls7e_ard_3-0-0_107080_2019-04-19_final
2019-07-08 10:52:31	ga_ls7e_ard_3-0-0_107080_2019-07-08_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-12-15 10:45:32	ga_ls7e_ard_3-1-0_107080_2019-12-15_final
2020-02-01 10:43:06	ga_ls7e_ard_3-1-0_107080_2020-02-01_final
2020-02-17 10:42:17	ga_ls7e_ard_3-1-0_107080_2020-02-17_final
2020-03-04 10:41:26	ga_ls7e_ard_3-1-0_107080_2020-03-04_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2020-05-07 10:37:46	ga_ls7e_ard_3-1-0_107080_2020-05-07_final
2020-12-01 10:24:31	ga_ls7e_ard_3-1-0_107080_2020-12-01_final
2020-12-17 10:23:19	ga_ls7e_ard_3-1-0_107080_2020-12-17_final
2021-01-18 10:21:03	ga_ls7e_ard_3-1-0_107080_2021-01-18_final
2021-02-19 10:18:41	ga_ls7e_ard_3-2-0_107080_2021-02-19_final
2021-03-07 10:17:27	ga_ls7e_ard_3-2-0_107080_2021-03-07_final
2021-03-23 10:16:11	ga_ls7e_ard_3-2-0_107080_2021-03-23_final
2021-04-08 10:14:52	ga_ls7e_ard_3-2-0_107080_2021-04-08_final
2021-04-24 10:13:31	ga_ls7e_ard_3-2-0_107080_2021-04-24_final
2021-05-10 10:12:11	ga_ls7e_ard_3-2-0_107080_2021-05-10_final
2021-05-26 10:10:49	ga_ls7e_ard_3-2-0_107080_2021-05-26_final
2021-06-27 10:08:11	ga_ls7e_ard_3-2-0_107080_2021-06-27_final
2021-07-13 10:06:50	ga_ls7e_ard_3-2-0_107080_2021-07-13_final
2021-07-29 10:05:26	ga_ls7e_ard_3-2-0_107080_2021-07-29_final
2021-08-30 10:02:38	ga_ls7e_ard_3-2-0_107080_2021-08-30_final
2021-09-15 10:01:14	ga_ls7e_ard_3-2-0_107080_2021-09-15_final
2021-10-01 09:59:48	ga_ls7e_ard_3-2-0_107080_2021-10-01_final
2021-10-17 09:58:23	ga_ls7e_ard_3-2-0_107080_2021-10-17_final
2021-11-18 09:55:22	ga_ls7e_ard_3-2-1_107080_2021-11-18_final
2021-12-20 09:52:20	ga_ls7e_ard_3-2-1_107080_2021-12-20_final
2022-01-05 09:50:43	ga_ls7e_ard_3-2-1_107080_2022-01-05_final
2022-01-21 09:49:13	ga_ls7e_ard_3-2-1_107080_2022-01-21_final
2022-02-06 09:47:37	ga_ls7e_ard_3-2-1_107080_2022-02-06_final
2022-02-22 09:46:01	ga_ls7e_ard_3-2-1_107080_2022-02-22_final
2022-03-10 09:44:28	ga_ls7e_ard_3-2-1_107080_2022-03-10_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